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@inproceedings{chee_demand_2019,
address = {Champaign, IL},
title = {Demand {Driven} {Deployment} {Capabilities} in {Cyclus}},
url = {arfc.github.io/twofcs19},
abstract = {For many fuel cycle simulators, it is currently up to the user to define a deployment scheme of supporting facilities or provide an infinite inventory of commodities to ensure that there is no gap in the supply chain. To ease setting up nuclear fuel cycle simulations, Nuclear Fuel Cycle (NFC) simulators should bring demand responsive deployment decisions into the dynamics of the simulation logic. In this work, we develop demand driven deployment capabilities in Cyclus, d3ploy. User-controlled capabilities such as supply/ capacity buffers, constraint deployment, prediction algorithms, and installed capacity deployment were introduced in d3ploy to give a user the tools to minimize commodity undersupply in a simulation. We demonstrate d3ploy{\textquoteright}s capability to automatically deploy fuel cycle facilities to meet various types of user-defined power demands: constant, linearly increasing, and sinusoidal.},
booktitle = {Proceedings of the {Technical} {Workshop} on {Fuel} {Cycle} {Simulation} 2019},
author = {Chee, Gwendolyn J.},
collaborator = {Flanagan, Robert R. and Huff, Kathryn D},
month = jun,
year = {2019},
file = {2019-chee-twofcs-pres.pdf:/Users/huff/Zotero/storage/V95BLIN6/2019-chee-twofcs-pres.pdf:application/pdf;2019-chee-twofcs-pres.pptx:/Users/huff/Zotero/storage/N49L9PAI/2019-chee-twofcs-pres.pptx:application/vnd.openxmlformats-officedocument.presentationml.presentation},
}
@inproceedings{huff_demand_2019,
address = {Argonne, IL, United States},
title = {Demand {Driven} {Cycamore} {Archetypes} {FY16} {NEUP} {Award} {Summary}},
booktitle = {Presentations in the {DOE}-{NE} {Systems} {Analysis} and {Integration} ({SA}\&{I}) {Campaign}},
author = {Huff, Kathryn D.},
month = sep,
year = {2019},
}
@article{carlsen_cycamore_2014,
title = {Cycamore v1.0.0},
url = {http://figshare.com/articles/Cycamore_v1_0_0/1041829},
doi = {http://figshare.com/articles/Cycamore_v1_0_0/1041829},
abstract = {Additional module for Cyclus, the nuclear fuel cycle simulator developed at the University of Wisconsin - Madison, supporting the modeling of innovative fuel cycles.},
urldate = {2014-06-03},
journal = {Figshare},
author = {Carlsen, Robert W. and Gidden, Matthew and Huff, Kathryn and Opotowsky, Arrielle C. and Rakhimov, Olzhas and Scopatz, Anthony M. and Wilson, Paul},
month = jun,
year = {2014},
note = {http://figshare.com/articles/Cycamore\_v1\_0\_0/1041829},
keywords = {Nuclear Fuel Cycle, agent-based simulation},
file = {cycamore_1.0.0:/Users/huff/Zotero/storage/W2VGZTDV/Scopatz et al. - 2014 - Cycamore v1.0.0:application/zip;Figshare Download:/Users/huff/Zotero/storage/WQD2B5KA/Scopatz et al. - 2014 - Cycamore v1.0.0:application/zip;Figshare Snapshot:/Users/huff/Zotero/storage/N44XFGRX/Scopatz et al. - 2014 - Cycamore v1.0.0.html:text/html;Full Text (HTML):/Users/huff/Zotero/storage/H56U7DUZ/Scopatz et al. - 2014 - Cycamore v1.0.0.html:text/html},
}
@misc{turkmen_machine-learning-enabled_2019,
address = {Columbus, OH},
type = {Workshop},
title = {Machine-{Learning}-{Enabled} {Design} for {Molten} {Salt} {Reactors}},
url = {https://github.com/arfc/2019-12-bigdata-npps},
abstract = {Nuclear reactor design can improve economics, safety, breeding capability, and operational flexibility.
Accordingly, we introduce an efficient, robust, and reliable design recommendation approach based on
machine learning methods. This approach explores seven independent input parameters in the context of a
single fuel channel of Molten Salt Fast Reactor, including fissile material (U, U/Pu, U/Th), salt type (Na,
Cl, F), enrichment, channel pitch, channel length, moderator-to-salt ratio, and channel power (or channel
outlet temperature). Performance metric for optimization include kinf , the conversion ratio ($\gamma$), feedback
coefficients ($\alpha$D , $\alpha$V , $\alpha$M ), and the fast flux incident on graphite material. Optimization, data mining and
sampling in this work will rely on the RAVEN framework, developed by the Idaho National Laboratory,
to produce the datasets, to explore the parameter space, and to train a model for recommending design
optimization. The tool created in this work couples to the SERPENT neutron transport software to
compute these design performance metrics. We expect this tool will make significant contributions to core
design optimization by exposing multitudinous possible scenarios, facilitating decision making, accelerating
the design process and reducing the man-hours consumed in modeling.},
author = {Turkmen, Mehmet},
collaborator = {Huff, Kathryn D.},
month = dec,
year = {2019},
file = {Turkmen - 2019 - Machine-Learning-Enabled Design for Molten Salt Re.pdf:/Users/huff/Zotero/storage/54ABMGRC/Turkmen - 2019 - Machine-Learning-Enabled Design for Molten Salt Re.pdf:application/pdf},
}
@phdthesis{kamuda_automated_2019,
address = {Urbana, IL},
type = {{PhD} {Dissertation}},
title = {Automated {Isotope} {Identification} and {Quantification} {Using} {Artificial} {Neural} {Networks}},
shorttitle = {Automated {Isotope} {Identification} and {Quantification} {Using} {Artificial} {Neural} {Networks}},
abstract = {Current radioisotope identification devices struggle to identify and quantify isotopes in low-resolution gamma-ray spectra in a wide range of realistic conditions. Trained gamma-ray spectroscopists typically rely on intuition when identifying isotopes in spectra. A trained gamma-ray spectroscopist can inject their intuition into pattern recognition algorithms by creating training datasets and intelligently choosing a machine learning model for a task. Algorithms based on feature extraction such as peak finding or ROI algorithms work well for well-calibrated high resolution detectors. For low-resolution detectors, it may be more beneficial to use algorithms that incorporate more abstract features of the spectrum. To investigate this, we simulated datasets and used them to train artificial neural networks (ANNs) for identification and quantification tasks using gamma-ray spectra. Because the datasets were simulated, this method can be extended to a variety of gamma-ray spectroscopy tasks. Models weinvestigated include dense, convolutional, and autoencoder ANNs. In this work we introduce annsa, an open source Python package capable of creating gamma-ray spectroscopy training datasets and applying machine learning models to solve spectroscopic tasks. Using annsa, we found that identification performance in simulated spectra was sensitive to the source-to-background ratio, detector gain setting, and shielding. Performance was less sensitive to the source-detector height and detector resolution. We demonstrate annsa{\textquoteright}s capabilities on a source inter-
diction classification problem, outperforming a peak-based Bayesian classifier for source identification. We also demonstrate annsa on a uranium enrich-
ment quantification problem which shows an accuracy useful for homeland security applications.},
language = {English},
school = {University of Illinois at Urbana-Champaign},
author = {Kamuda, Mark},
month = nov,
year = {2019},
file = {Kamuda - 2019 - Automated Isotope Identification and Quantificatio.pdf:/Users/huff/Zotero/storage/WQHLJA5K/Kamuda - 2019 - Automated Isotope Identification and Quantificatio.pdf:application/pdf},
}
@article{bae_deep_2020,
title = {Deep learning approach to nuclear fuel transmutation in a fuel cycle simulator},
volume = {139},
issn = {0306-4549},
url = {http://www.sciencedirect.com/science/article/pii/S0306454919307406},
doi = {10.1016/j.anucene.2019.107230},
abstract = {We trained a neural network model to predict Pressurized Water Reactor (PWR) Used Nuclear Fuel (UNF) composition given initial enrichment and burnup. This quick, flexible, medium-fidelity method to estimate depleted PWR fuel assembly compositions is used to model scenarios in which the PWR fuel burnup and enrichment vary over time. The Used Nuclear Fuel Storage, Transportation \& Disposal Analysis Resource and Data System (UNF-ST\&DARDS) Unified Database (UDB) provided a ground truth on which the model trained. We validated the model by comparing the U.S. UNF inventory profile predicted by the model with the UDB UNF inventory profile. The neural network yields less than 1\% error for UNF inventory decay heat and activity and less than 2\% error for major isotopic inventory. The neural network model takes 0.27 s for 100 predictions, compared to 118 s for 100 Oak Ridge Isotope GENeration (ORIGEN) calculations. We also implemented this model into Cyclus, an agent-based Nuclear Fuel Cycle (NFC) simulator, to perform rapid, medium-fidelity PWR depletion calculations. This model also allows discharge of batches with assemblies of varying burnup. Since the original private data cannot be retrieved from the model, this trained model can provide open-source depletion capabilities to NFC simulators. We show that training an artificial neural network with a dataset from a complex fuel depletion model can provide rapid, medium-fidelity depletion capabilities to large-scale fuel cycle simulations.},
language = {en},
urldate = {2020-01-07},
journal = {Annals of Nuclear Energy},
author = {Bae, Jin Whan and Rykhlevskii, Andrei and Chee, Gwendolyn and Huff, Kathryn D.},
month = may,
year = {2020},
keywords = {Simulation, Depletion, Nuclear fuel cycle, repository, agent based modeling, Object orientation, Systems analysis, Finite elements, Hydrologic contaminant transport, MOOSE, Multiphysics, nuclear engineering, Parallel computing, Reactor physics, Molten salt breeder reactor, Molten salt reactor, Online reprocessing, Python, Salt treatment, Artificial neural network, Machine learning, Spent nuclear fuel},
pages = {107230},
file = {Bae et al. - 2020 - Deep learning approach to nuclear fuel transmutati.pdf:/Users/huff/Zotero/storage/63AWUGKG/63AWUGKG.pdf:application/pdf;ScienceDirect Snapshot:/Users/huff/Zotero/storage/U7IJI82D/S0306454919307406.html:text/html},
}
@techreport{rykhlevskii_milestone_2019,
address = {Urbana, IL},
type = {Milestone {Report}},
title = {Milestone 2.1 {Report}: {Demonstration} of {SaltProc}},
shorttitle = {Contract {DE}-{AR0000983}, {Enabling} {Load} {Following} {Capability} in the {Transatomic} {MSR}},
abstract = {The University of Illinois, Urbana-Champaign (UIUC) is engaged in work to develop a fuel processing system that enables load-following in Molten Salt Reactors (MSRs), an important ability that allows nuclear power plants to ramp electricity production up or down to meet changing electricity demand. Nuclear reactions in MSRs produce unwanted byproducts (such as xenon and krypton) that can adversely affect power production. In steady, baseload operation, these byproducts form and decay at the same rate. When electricity production is ramped down, however, the byproducts start to be produced at a greater rate than they decay, leading to a buildup within the reactor. When power production must be once again increased, the response rate is slowed by the time needed for the byproducts to reach their equilibrium level (determined by the radioactive decay half-life, which is on the order of hours). Thus, buildup of these unwanted byproducts resulting from ramping down inhibit proper load following for molten salt reactors. Fortunately, MSRs transport fuel in a flowing molten salt fuel loop, which means that a section of the reactor, outside the core, can be leveraged for fuel processing and "cleanup." The team will determine the feasibility of removal of these unwanted byproducts and de- sign a fuel reprocessing system, removing a major barrier to commercialization for molten salt reactors.
Toward this work, we initiated the Fuel Cycle Simulation task (Task 2) in August 2018 to more realistically model the online reprocessing system of the Transatomic Power (TAP) MSR. A Python toolkit, SaltProc v0.1 [1{\textendash}3], was developed to represent the simplified online fuel salt processing of a Molten Salt Breeder Reactor (MSBR). More recently, an advanced SaltProc version (SaltProc v0.2) was developed to generically simulate complex molten salt fuel reprocessing systems, including the TAP system, incorporating user-parametrized components into the fuel salt processing design. This report summarizes the progress we have made towards milestone M2.1: Demonstrate SaltProc and the steps toward the subsequent Task 2 objectives.},
language = {english},
number = {UIUC-ARFC-2019-04 DOI: 10.5281/zenodo.3355649},
institution = {University of Illinois at Urbana-Champaign},
author = {Rykhlevskii, Andrei and Huff, Kathryn},
month = jun,
year = {2019},
doi = {10.5281/zenodo.3355649},
keywords = {cyclus, nuclear engineering, arfc, report, molten salt reactor, nuclear fuel cycle},
pages = {1--23},
annote = {This research is being performed using funding received from the Department of Energy ARPA-E MEITNER Program (award DE-AR0000983) and the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993) and the state of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications.},
annote = {This research is being performed using funding received from the Department of Energy ARPA-E MEITNER Program (award DE-AR0000983) and the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993) and the state of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications.},
annote = {This research is being performed using funding received from the Department of Energy ARPA-E MEITNER Program (award DE-AR0000983) and the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993) and the state of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications.},
file = {Huff - 2019 - Milestone 2.1 Report Demonstration of SaltProc.pdf:/Users/huff/Zotero/storage/WJUPG67I/Huff - 2019 - Milestone 2.1 Report Demonstration of SaltProc.pdf:application/pdf;Zenodo Full Text PDF:/Users/huff/Zotero/storage/ZFLGME7X/Andrei Rykhlevskii and Kathryn Huff - 2019 - Milestone 2.1 Report Demonstration of SaltProc.pdf:application/pdf;Zenodo Full Text PDF:/Users/huff/Zotero/storage/RYZ3VPVQ/Andrei Rykhlevskii and Kathryn Huff - 2019 - Milestone 2.1 Report Demonstration of SaltProc.pdf:application/pdf;Zenodo Full Text PDF:/Users/huff/Zotero/storage/BN8EED2W/Andrei Rykhlevskii and Kathryn Huff - 2019 - Milestone 2.1 Report Demonstration of SaltProc.pdf:application/pdf},
}
@inproceedings{chee_demonstration_2019,
address = {Seattle, WA, United States},
title = {Demonstration of {Demand}-{Driven} {Deployment} {Capabilities} in {Cyclus}},
url = {http://epubs.ans.org/?a=46949},
booktitle = {Proceedings of {Global}/{Top} {Fuel} 2019},
publisher = {American Nuclear Society},
author = {Chee, Gwendolyn and Bae, Jin Whan and Huff, Kathryn D. and Flanagan, Robert R. and Fairhurst, Roberto},
month = sep,
year = {2019},
pages = {394--401},
file = {Chee et al. - 2019 - Demonstration of Demand-Driven Deployment Capabili.pdf:/Users/huff/Zotero/storage/DAS8F5HF/Chee et al. - 2019 - Demonstration of Demand-Driven Deployment Capabili.pdf:application/pdf},
}
@inproceedings{flanagan_methods_2019,
address = {Seattle, WA, United States},
title = {Methods for {Automated} {Fuel} {Cycle} {Facility} {Deployment}},
url = {http://epubs.ans.org/?a=46950},
booktitle = {Proceedings of {Global}/{Top} {Fuel} 2019},
publisher = {American Nuclear Society},
author = {Flanagan, Robert R. and Bae, Jin Whan and Huff, Kathryn D. and Chee, Gwendolyn J. and Fairhurst, Roberto},
month = sep,
year = {2019},
pages = {402--427},
file = {Flanagan et al. - 2019 - Methods for Automated Fuel Cycle Facility Deployme.pdf:/Users/huff/Zotero/storage/8IBKW5LD/Flanagan et al. - 2019 - Methods for Automated Fuel Cycle Facility Deployme.pdf:application/pdf},
}
@inproceedings{huff_current_2017,
address = {Seoul, South Korea},
title = {Current {Status} of {Predictive} {Transition} {Capability} in {Fuel} {Cycle} {Simulation}},
url = {https://books.google.com/books/about/GLOBAL_2017.html?id=1UjsuQEACAAJ},
abstract = {Nuclear fuel cycle simulation scenarios are most naturally described as
constrained objective functions. The objectives are often systemic
demands such as ``achieve 1\% growth for total electricity production
and reach 10\% uranium utilization''. The constraints take
the form of nuclear fuel cycle technology availability
(``reprocessing begins after 2025 and fast reactors first become
available in 2050'').
To match the natural constrained objective form of the scenario
definition, NFC simulators must bring demand responsive
deployment decisions into the dynamics of the simulation logic.
In particular, a NFC simulator should have the
capability to deploy supporting fuel cycle facilities to enable
a demand to be met. Take, for instance, the standard once through fuel
cycle. Reactors may be deployed to meet a objective power demand.
However, new mines, mills, and enrichment facilities will also need to be
deployed to ensure that reactors have sufficient fuel to produce power.
In many simulators, the unrealistic solution to this problem is to
simply have infinite capacity support facilities. Alternatively,
detailing the deployment timeline of all facilities becomes the
responsibility of the user.
The authors seek to identify the most flexible, general, and performant
algorithms applicable to this modeling challenge. Accordingly, a review was
conducted of current NFC simulation tools to determine the
current capabilites for demand-driven and transition scenarios.
Additionally, the authors investigated promising algorithmic
innovations that have been successful for similar applications in other domains
such as economics and industrial engineering.},
language = {en},
booktitle = {Proceedings of {Global} 2017},
publisher = {American Nuclear Society},
author = {Huff, Kathryn D. and Bae, Jin Whan and Mummah, Kathryn A. and Flanagan, Robert R. and Scopatz, Anthony M.},
month = sep,
year = {2017},
file = {Huff et al. - 2017 - Current Status of Predictive Transition Capability.pdf:/Users/huff/Zotero/storage/CDQJ8KB8/Huff et al. - 2017 - Current Status of Predictive Transition Capability.pdf:application/pdf;Huff et al. - Current Status of Predictive Transition Capability.pdf:/Users/huff/Zotero/storage/LE3726S6/Huff et al. - Current Status of Predictive Transition Capability.pdf:application/pdf},
}
@article{lindsay_introduction_2018,
title = {Introduction to {Moltres}: {An} application for simulation of {Molten} {Salt} {Reactors}},
volume = {114},
issn = {0306-4549},
shorttitle = {Introduction to {Moltres}},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0306454917304760},
doi = {10.1016/j.anucene.2017.12.025},
abstract = {Moltres is a new physics application for modeling coupled physics in fluid-fuelled, molten salt reactors. This paper describes its neutronics model, thermal hydraulics model, and their coupling in the MOOSE framework. Neutron and precursor equations are implemented using an action system that allows use of an arbitrary number of groups with no change in the input card. Results for many-channel configurations in 2D-axisymmetric and 3D coordinates are presented and compared against other coupled models as well as the Molten Salt Reactor Experiment.},
language = {en},
urldate = {2018-01-08},
journal = {Annals of Nuclear Energy},
author = {Lindsay, Alexander and Ridley, Gavin and Rykhlevskii, Andrei and Huff, Kathryn},
month = apr,
year = {2018},
keywords = {Simulation, Nuclear fuel cycle, repository, agent based modeling, Object orientation, Systems analysis, Finite elements, Hydrologic contaminant transport, MOOSE, Multiphysics, nuclear engineering, Parallel computing, Reactor physics},
pages = {530--540},
annote = {2d prescribed},
file = {Lindsay et al. - 2018 - Introduction to Moltres An application for simula.pdf:/Users/huff/Zotero/storage/RCWUNGTP/Lindsay et al. - 2018 - Introduction to Moltres An application for simula.pdf:application/pdf;Lindsay et al. - 2018 - Introduction to Moltres An application for simula.pdf:/Users/huff/Zotero/storage/3GEC6NQ9/Lindsay et al. - 2018 - Introduction to Moltres An application for simula.pdf:application/pdf;Moltres.pdf:/Users/huff/Zotero/storage/4XDXRICB/Moltres.pdf:application/pdf;ScienceDirect Full Text PDF:/Users/huff/Zotero/storage/E2T9U5IX/Lindsay et al. - 2018 - Introduction to Moltres An application for simula.pdf:application/pdf;ScienceDirect Snapshot:/Users/huff/Zotero/storage/3DT9TEY3/S0306454917304760.html:text/html},
}
@article{bae_synergistic_2019,
title = {Synergistic spent nuclear fuel dynamics within the {European} {Union}},
volume = {114},
issn = {0149-1970},
url = {http://www.sciencedirect.com/science/article/pii/S014919701930037X},
doi = {10.1016/j.pnucene.2019.02.001},
abstract = {The French 2012{\textendash}2015 Commission Nationale d{\textquoteright}Evaluation Reports emphasize preparation for a transition from Light Water Reactors (LWRs) to Sodium-Cooled Fast Reactors (SFRs). We used the Cyclus nuclear fuel cycle simulator to explore the feasibility of enabling a French transition to an SFR fleet by using Used Nuclear Fuel (UNF) from other European Union (EU) nations. A Cyclus simulation captured nuclear power deployment in the EU from 1970 to 2160. In this simulation, France begins its planned transition to SFRs as existing LWRs are decommissioned. These SFRs are fueled with UNF accumulated by other EU nations and reprocessed in France. The impact of reactor lifetime extensions and SFR breeding ratios on time-to-transition were investigated with additional simulations. These simulations demonstrate that France can avoid deployment of additional LWRs by accepting UNF from other EU nations, that lifetime extensions delay time-to-transition, and improved breeding ratios are not particularly impactful.},
urldate = {2019-04-15},
journal = {Progress in Nuclear Energy},
author = {Bae, Jin Whan and Singer, Clifford E. and Huff, Kathryn D.},
month = jul,
year = {2019},
keywords = {Simulation, Nuclear fuel cycle, repository, agent based modeling, Object orientation, Systems analysis, Finite elements, Hydrologic contaminant transport, MOOSE, Multiphysics, nuclear engineering, Parallel computing, Reactor physics, Transition, Spent nuclear fuel, Agent-based, European union},
pages = {1--12},
file = {Bae et al. - 2018 - Synergistic Spent Nuclear Fuel Dynamics Within the.pdf:/Users/huff/Zotero/storage/3QBIMRIH/Bae et al. - 2018 - Synergistic Spent Nuclear Fuel Dynamics Within the.pdf:application/pdf;ScienceDirect Full Text PDF:/Users/huff/Zotero/storage/FUTLQJAP/Bae et al. - 2019 - Synergistic spent nuclear fuel dynamics within the.pdf:application/pdf;ScienceDirect Snapshot:/Users/huff/Zotero/storage/E9FXRY45/S014919701930037X.html:text/html},
}
@book{scopatz_effective_2015,
address = {Sebastopol, CA},
edition = {1},
title = {Effective computation in physics: {Field} guide to research with python},
isbn = {978-1-4919-0153-3},
shorttitle = {Effective computation in physics},
url = {http://shop.oreilly.com/product/0636920033424.do},
abstract = {Effective Computation in Physics is a handy guide to the types of problems you run into with computational physics{\textemdash}such as version control, bash scripts, object orientation, large databases, and parallel machines. The authors provide detailed scientific computing motivations, clear and concise tutorials, and references to further information about each of the topics presented.This book fills the existing training gap for students and scientists who conduct physics in a world where simulations have replaced desktop experiments and sophisticated data traversing algorithms have replaced pen and paper analysis.Provides a central source that ties various pieces of computational physics togetherContains coverage of the Python programming language aimed toward physicistsHelps you properly analyze and compellingly visualize your dataIncludes chapters on hot topics like NumPy and HDF5},
language = {English},
publisher = {O'Reilly Media},
author = {Scopatz, Anthony M. and Huff, Kathryn D.},
month = may,
year = {2015},
file = {Scopatz and Huff - 2015 - Effective computation in physics Field guide to r.pdf:/Users/huff/Zotero/storage/33KZQE9J/Scopatz and Huff - 2015 - Effective computation in physics Field guide to r.pdf:application/pdf;Snapshot:/Users/huff/Zotero/storage/N9AQ2CIB/books.html:text/html;Snapshot:/Users/huff/Zotero/storage/HHETCY3D/books.html:text/html},
}
@article{huff_rapid_2017,
title = {Rapid methods for radionuclide contaminant transport in nuclear fuel cycle simulation},
volume = {114},
issn = {0965-9978},
doi = {10.1016/j.advengsoft.2017.07.006},
abstract = {Nuclear fuel cycle and nuclear waste disposal decisions are technologically coupled. However, current nuclear fuel cycle simulators lack dynamic repository performance analysis due to the computational burden of high-fidelity hydrolgic contaminant transport models. The Cyder disposal environment and repository module was developed to fill this gap. It implements medium-fidelity hydrologic radionuclide transport models to support assessment appropriate for fuel cycle simulation in the Cyclus fuel cycle simulator. Rapid modeling of hundreds of discrete waste packages in a geologic environment is enabled within this module by a suite of four closed form models for advective, dispersive, coupled, and idealized contaminant transport: a Degradation Rate model, a Mixed Cell model, a Lumped Parameter model, and a 1-D Permeable Porous Medium model. A summary of the Cyder module, its timestepping algorithm, and the mathematical models implemented within it are presented. Additionally, parametric demonstrations simulations performed with Cyder are presented and shown to demonstrate functional agreement with parametric simulations conducted in a standalone hydrologic transport model, the Clay Generic Disposal System Model developed by the Used Fuel Disposition Campaign Department of Energy Office of Nuclear Energy.},
urldate = {2019-03-03},
journal = {Advances in Engineering Software},
author = {Huff, Kathryn},
month = dec,
year = {2017},
keywords = {Simulation, Nuclear Fuel Cycle, Repository, Nuclear fuel cycle, repository, agent based modeling, Object orientation, Systems analysis, Hydrologic contaminant transport, nuclear engineering, simulation},
pages = {268--281},
annote = {Discussion of what models are used for radionuclide contaminant transport and essentially how the code works. It also discusses the significance of repository modeling.
Significance
- Nuclear fuel cycle and nuclear waste disposal decisions are technologically coupled through the characteristics of spent fuel which vary among fuel cycles and impact repository design and performance
- Dynamic integration of generic disposal model with fuel cycle systems analysis framework is necessary to illuminate performance distinctions of candidate repository host media, designs, and engineering components in the context of fuel cycle options
- Most current tools treat waste disposal phase of fuel cycle analysis statically in post processing by reporting values such as mass, volumes, radiotoxicity, or heat production of accumulated SNF and high level waste. They fail to address the dynamic impact of the waste streams on the performance of the geologic disposal system.
~
Cyder
- Cyder provides medium fidelity models to conduct repository performance analysis on efficient timescales appropriate for fuel cycle analyses},
file = {ScienceDirect Full Text PDF:/Users/huff/Zotero/storage/PMST2RA5/PMST2RA5.pdf:application/pdf;ScienceDirect Full Text PDF:/Users/huff/Zotero/storage/XR4V3VZV/Huff - Rapid methods for radionuclide contaminant transpo.pdf:application/pdf;ScienceDirect Snapshot:/Users/huff/Zotero/storage/27XJEXE8/S0965997817302703.html:text/html;ScienceDirect Snapshot:/Users/huff/Zotero/storage/34UH4PHR/S0965997817302703.html:text/html;ScienceDirect Snapshot:/Users/huff/Zotero/storage/ZETJXGMB/S0965997817302703.html:text/html},
}
@misc{huff_neutron_2019,
address = {Spokane, WA},
type = {Invited {Minisyposium} {Talk}},
title = {Neutron {Kinetics} in {Liquid}-{Fueled} {Nuclear} {Reactors}},
url = {https://katyhuff.github.io/2018-02-25-siam},
abstract = {Modeling and simulation of neutron kinetics in liquid-fueled nuclear reactors incorporates three major challenging components. First, it is necessary to establish the dynamic evolution of fuel composition via depletion and online reprocessing. Additionally, multiphysics analysis of the thermal hydraulics and neutronics in such a reactor must incorporate thermal feedbacks and material expansion feedbacks. Finally, drift of delayed neutron precursors must be incorporated into the kinetics analysis due to the mobility of the liquid fuel. This talk will discuss all three components. Toward the first component, a discussion of the SaltProc python package will establish the fuel composition dynamics capabilities necessary for fuel composition depletion in the context of online reprocessing. Toward the second component, a point kinetics model implementation in PyRK, and a more sophisticated advection model implementation in Moltres will be discussed. Finally, incorporation in Moltres of neutron diffusion and precursor equations will be discussed as will their implementation using the MOOSE action system.},
author = {Huff, Kathryn D.},
month = feb,
year = {2019},
}
@article{rykhlevskii_modeling_2019,
title = {Modeling and simulation of online reprocessing in the thorium-fueled molten salt breeder reactor},
volume = {128},
issn = {0306-4549},
url = {http://www.sciencedirect.com/science/article/pii/S0306454919300350},
doi = {10.1016/j.anucene.2019.01.030},
abstract = {In the search for new ways to generate carbon-free, reliable base-load power, interest in advanced nuclear energy technologies, particularly Molten Salt Reactors (MSRs), has resurged with multiple new companies pursuing MSR commercialization. To further develop these MSR concepts, researchers need simulation tools for analyzing liquid-fueled MSR depletion and fuel processing. However, most contemporary nuclear reactor physics software is unable to perform high-fidelity full-core depletion calculations for a reactor design with online reprocessing. This paper introduces a Python package, SaltProc, which couples with the Monte Carlo code, SERPENT2 to simulate MSR online reprocessing by modeling the changing isotopic composition of MSR fuel salt. This work demonstrates SaltProc capabilities for a full-core, high-fidelity model of the commercial Molten Salt Breeder Reactor (MSBR) concept and verifies these results to results in the literature from independent, lower-fidelity analyses.},
urldate = {2019-01-25},
journal = {Annals of Nuclear Energy},
author = {Rykhlevskii, Andrei and Bae, Jin Whan and Huff, Kathryn D.},
month = jun,
year = {2019},
keywords = {Simulation, Depletion, Nuclear fuel cycle, repository, agent based modeling, Object orientation, Systems analysis, Finite elements, Hydrologic contaminant transport, MOOSE, Multiphysics, nuclear engineering, Parallel computing, Reactor physics, Molten salt breeder reactor, Molten salt reactor, Online reprocessing, Python, Salt treatment},
pages = {366--379},
file = {Rykhlevskii et al. - 2019 - Modeling and simulation of online reprocessing in .pdf:/Users/huff/Zotero/storage/IQPHC25M/Rykhlevskii et al. - 2019 - Modeling and simulation of online reprocessing in .pdf:application/pdf;ScienceDirect Snapshot:/Users/huff/Zotero/storage/W5RDKFMS/S0306454919300350.html:text/html;ScienceDirect Snapshot:/Users/huff/Zotero/storage/P6PJ667C/S0306454919300350.html:text/html},
}
@misc{rykhlevskii_simulation_2019,
address = {Spokane, WA},
type = {Conference},
title = {Simulation of {Molten} {Salt} {Reactors} with {Moltres}},
url = {https://github.com/arfc/2019-rykhl-siam},
abstract = {The Advanced Reactors and Fuel Cycles (ARFC) group models and simulates the design, safety, and performance of advanced nuclear reactors. For these simulations coupling between physics such as neutron transport, thermal-hydraulics phenomena, and fuel performance must be taken into account. Our group performs high fidelity simulation of Gen IV reactor designs through development of models and tools for representing unique materials, complex geometries, and physical phenomena. Current work introduces an extension of the MOOSE framework, Moltres, to appropriately model coupled thermal-hydraulics and neutronics of promising liquid-fueled Molten Salt Reactor designs.
Initial simulations of the Molten Salt Reactor Experiment (MSRE) have been conducted on Blue Waters supercomputer with deterministic multiphysics. Steady state, transient, and fuel cycle analysis simulations have been run in 2D as well as 3D and compared against the Molten Salt Reactor Experiment. These simulations have occupied up to many hundreds of nodes simultaneously and have resulted in rich datasets for use in reactor design and analysis. This talk will describe how coupling between neutronics and thermal hydraulics have been established in the Moltres as well as the validation and verification efforts which have been completed.},
author = {Rykhlevskii, Andrei},
collaborator = {Lindsay, Alexander and Huff, Kathryn D},
month = feb,
year = {2019},
file = {Rykhlevskii - 2019 - Simulation of Molten Salt Reactors with Moltres.pdf:/Users/huff/Zotero/storage/6KIVNTY2/Rykhlevskii - 2019 - Simulation of Molten Salt Reactors with Moltres.pdf:application/pdf},
}
@misc{huff_creating_2018,
title = {Creating a {Carbon} {Free} {Future}, {Alumni} {Spotlight}: {Kathryn} {Huff}, {Ph}.{D}.},
shorttitle = {Alumni {Spotlight}: {Kathryn} {Huff}, {Ph}.{D}.},
url = {http://tams.unt.edu/alumni/spotlights/kathryn-huff-phd},
language = {English},
urldate = {2018-09-04},
author = {Huff, Kathryn},
collaborator = {Holland, Miranda},
month = aug,
year = {2018},
note = {media},
file = {Kathryn Huff, Ph.D. | Texas Academy of Mathematics & Science:/Users/huff/Zotero/storage/86PFLTUC/kathryn-huff-phd.html:text/html},
}
@article{timmins_power_2018,
title = {Power {Source}: {Nuclear} engineer {Katy} {Huff} on teaching with {IPython}, reactor theory and the future of energy},
volume = {[InClass] Engineering},
shorttitle = {Power {Source}},
url = {https://illinoisalumni.org/2018/08/01/in-class-power-source/},
abstract = {Nuclear engineer Katy Huff on teaching with IPython, reactor theory and the future of energy.},
language = {Engilish},
number = {Summer 2018},
journal = {University of Illinois Alumni Magazine},
author = {Timmins, Mary},
collaborator = {Huff, Kathryn},
month = aug,
year = {2018},
note = {media},
pages = {13},
file = {Timmins - 2018 - Power Source Nuclear engineer Katy Huff on teachi.pdf:/Users/huff/Zotero/storage/4DFG69KU/Timmins - 2018 - Power Source Nuclear engineer Katy Huff on teachi.pdf:application/pdf},
}
@misc{lowery_women_2015,
title = {Women in {Data} {Science}: {Kathryn} {Huff}},
shorttitle = {Women in {Data} {Science}},
url = {https://cds.nyu.edu/women-data-science-kathryn-huff/},
abstract = {As part of the Moore-Sloan Data Science Initiative{\textquoteright}s ongoing commitment to promoting diversity, we are highlighting the work of 5 exceptional women in the field of data science. The first profile in our series is on Katy Huff, a Berkeley Institute for Data Science, Moore/Sloan fellow. Nuclear power is a highly controversial topic within the {\textellipsis}},
language = {en-US},
urldate = {2018-07-25},
journal = {NYU Center for Data Science},
author = {Lowery, Jack},
month = sep,
year = {2015},
note = {media},
file = {Snapshot:/Users/huff/Zotero/storage/WD4GLQ98/women-data-science-kathryn-huff.html:text/html},
}
@article{larsen_california_2018,
title = {California {Faculty} {Field} {Day}},
url = {http://www.sandia.gov/news/publications/labnews/_assets/documents/issues/2018/labnews07-06-18.pdf},
language = {en},
journal = {Sandia National Laboratory LabNews},
author = {Larsen, Holly},
month = jul,
year = {2018},
note = {media},
pages = {8},
file = {Rappe - Sandia light mixer makes 11 colors at once.pdf:/Users/huff/Zotero/storage/22V6J6WR/Rappe - Sandia light mixer makes 11 colors at once.pdf:application/pdf},
}
@article{silver_microsofts_2018,
series = {In {Focus}},
title = {Microsoft{\textquoteright}s purchase of {GitHub} leaves some scientists uneasy},
volume = {558},
copyright = {2018 Nature},
shorttitle = {They fear the online platform will become less open, but other researchers say the buyout could make {GitHub} more useful.},
url = {http://www.nature.com/articles/d41586-018-05426-0},
doi = {doi: 10.1038/d41586-018-05426-0},
abstract = {They fear the data-sharing website will become less open, but other researchers say the buyout could make GitHub more useful.},
language = {EN},
urldate = {2018-07-06},
journal = {Nature},
author = {Silver, Andrew},
month = jun,
year = {2018},
note = {media},
pages = {353},
file = {Snapshot:/Users/huff/Zotero/storage/ZXWE55CU/d41586-018-05426-0.html:text/html},
}
@article{perkel_democratic_2016,
series = {Toolbox},
title = {Democratic databases: science on {GitHub}},
volume = {538},
issn = {0028-0836},
shorttitle = {Democratic databases},
url = {http://www.nature.com/news/democratic-databases-science-on-github-1.20719},
doi = {10.1038/538127a},
abstract = {Scientists are turning to a software{\textendash}development site to share data and code.},
language = {en},
number = {7623},
urldate = {2018-07-06},
journal = {Nature News},
author = {Perkel, Jeffrey},
month = oct,
year = {2016},
note = {media},
pages = {127},
file = {Snapshot:/Users/huff/Zotero/storage/GQPEKFL2/democratic-databases-science-on-github-1.html:text/html},
}
@misc{bowne-anderson_data_2018,
address = {New York, NY, USA},
title = {Data {Science}, {Nuclear} {Engineering} and the {Open} {Source} (with {Katy} {Huff})},
copyright = {DataCamp},
shorttitle = {Data science, nuclear engineering, the importance of interdisciplinary data science and the open source.},
url = {https://www.datacamp.com/community/podcast/data-science-nuclear-engineering},
abstract = {Nuclear engineering, data science and open source software development: where do these all intersect? To find out, join Hugo and Katy Huff, Assistant Professor in the Department of Nuclear, Plasma, an},
language = {en},
urldate = {2018-07-06},
journal = {Data Framed},
publisher = {Data Camp},
author = {Bowne-Anderson, Hugo},
collaborator = {Huff, Kathryn D.},
month = mar,
year = {2018},
note = {media},
file = {Snapshot:/Users/huff/Zotero/storage/25KJVGHT/12-data-science-nuclear-engineering-and-the-open-source.html:text/html},
}
@misc{mumm_professor_2018,
address = {Urbana, IL},
title = {Professor {Kathryn} {Huff} on the {Possibilities} in {NPRE}},
url = {https://www.youtube.com/watch?v=w9d_QMW1hA4},
abstract = {Assistant Professor in Nuclear, Plasma, and Radiological Engineering talks about students in NPRE and the opportunities that the major has to offer.},
urldate = {2018-07-06},
publisher = {Illinois Engineering},
author = {Mumm, Susan},
collaborator = {{Illinois Engineering} and Huff, Kathryn D.},
month = mar,
year = {2018},
note = {media},
file = {Snapshot:/Users/huff/Zotero/storage/PLZD3J8V/watch.html:text/html},
}
@article{tippmann_my_2014,
series = {Toolbox: {Q}\&{A}},
title = {My digital toolbox: {Nuclear} engineer {Katy} {Huff} on version-control systems},
issn = {0028-0836},
shorttitle = {My digital toolbox},
url = {http://www.nature.com/news/my-digital-toolbox-nuclear-engineer-katy-huff-on-version-control-systems-1.16014},
doi = {10.1038/nature.2014.16014},
abstract = {Git and GitHub are the 'laboratory notebook of scientific computing'.},
language = {en},
urldate = {2018-07-06},
journal = {Nature News},
author = {Tippmann, Sylvia},
month = sep,
year = {2014},
note = {media},
file = {Snapshot:/Users/huff/Zotero/storage/4QXP8EIT/my-digital-toolbox-nuclear-engineer-katy-huff-on-version-control-systems-1.html:text/html},
}
@techreport{bae_numerical_2018,
address = {Urbana, IL},
type = {Graduate {Report}},
title = {Numerical {Experiments} for {Verifying} {Demand} {Driven} {Deployment} {Algorithms}},
url = {https://github.com/arfc/ddca_numerical_exp},
abstract = {For many fuel cycle simulations, it is currently up to the user to define a deployment scheme, or facility parameters, to make sure that there{\textquoteright}s no gap in the supply chain. Or, the same goal is achieved by setting the facility capacity to infinity, which does not reflect real-world conditions.
The Demand-Driven Cycamore Archetype project (NEUP-FY16-10512) aims to develop Cycamore demand-driven deployment capabilities. The developed algorithm, in the form of Cyclus Institution agent, deploys Facilities to meet the front-end and back-end demands of the fuel cycle.
This report describes numerical tests for non-optimizing, deterministic- optimizing and stochastic-optimizing prediction algorithms.
These prediction models are being developed by the University of South Carolina. In this report, we discuss numerical experiments for testing the non-optimizing, deterministic optimizing and stochastic optimizing meth- ods. The numerical experiments will be designed for both the once through nuclear fuel cycle and advanced fuel cycles.},
number = {UIUC-ARFC-2018-01},
institution = {University of Illinois at Urbana-Champaign},
author = {Bae, Jin Whan and Chee, Gwendolyn and Huff, Kathryn},
month = apr,
year = {2018},
keywords = {arfc, report},
pages = {0--21},
file = {Bae et al. - 2018 - Numerical Experiments for Verifying Demand Driven .pdf:/Users/huff/Zotero/storage/5X9YWIQW/Bae et al. - 2018 - Numerical Experiments for Verifying Demand Driven .pdf:application/pdf},
}
@inproceedings{rykhlevskii_online_2017,
address = {Washington, DC, United States},
series = {Molten {Salt} {Processing}-{Online} {Processing} {Redox}},
title = {Online reprocessing simulation for thorium-fueled molten salt breeder reactor},
volume = {117},
url = {http://epubs.ans.org/?a=41258},
abstract = {The current paper presents a single-cell model developed using the continuous-energy Serpent 2 Monte Carlo reactor physics software. It was employed to establish a Serpent- based method for finding the equilibrium core composition and core depletion of the Molten Salt Breeder Reactor (MSBR).},
booktitle = {Transactions of the {American} {Nuclear} {Society}},
publisher = {American Nuclear Society},
author = {Rykhlevskii, Andrei and Lindsay, Alexander and Huff, Kathryn D.},
month = nov,
year = {2017},
pages = {239--242},
file = {msbr_reproc.pdf:/Users/huff/Zotero/storage/PASSAITQ/msbr_reproc.pdf:application/pdf},
}
@inproceedings{rykhlevskii_full-core_2017,
address = {Washington, DC, United States},
series = {Reactor {Physics}},
title = {Full-core analysis of thorium-fueled {Molten} {Salt} {Breeder} {Reactor} using the {SERPENT} 2 {Monte} {Carlo} code},
volume = {117},
url = {http://epubs.ans.org/?a=41596},
abstract = {We used the continuous-energy Serpent 2 Monte Carlo
particle transport code to calulate whole-core depletion in the thermal spectrum Molten Salt Breeder Reactor
(MSBR) . We then compare these results with existing MCNP6
results with a more simplified geometric model. This
neutronics model is of sufficient fidelity to inform optimization
of fuel salt composition, fuel utilization, neutron fluxes, and
spectrum evaluation. Moreover, this model will be employed
for depeletion calculations, generation of problem-oriented
homogenized nuclear data (multi-group cross sections and
diffusion constants) for deterministic reactor codes, and multiphysics
simulations.},
booktitle = {Transactions of the {American} {Nuclear} {Society}},
publisher = {American Nuclear Society},
author = {Rykhlevskii, Andrei and Lindsay, Alexander and Huff, Kathryn D.},
month = nov,
year = {2017},
pages = {1343--1346},
file = {full-core_msbr_model.pdf:/Users/huff/Zotero/storage/3F8DA752/full-core_msbr_model.pdf:application/pdf},
}
@article{smith_journal_2018,
title = {Journal of {Open} {Source} {Software} ({JOSS}): design and first-year review},
volume = {4},
issn = {2376-5992},
shorttitle = {Journal of {Open} {Source} {Software} ({JOSS})},
url = {https://peerj.com/articles/cs-147},
doi = {10.7717/peerj-cs.147},
abstract = {This article describes the motivation, design, and progress of the Journal of Open Source Software (JOSS). JOSS is a free and open-access journal that publishes articles describing research software. It has the dual goals of improving the quality of the software submitted and providing a mechanism for research software developers to receive credit. While designed to work within the current merit system of science, JOSS addresses the dearth of rewards for key contributions to science made in the form of software. JOSS publishes articles that encapsulate scholarship contained in the software itself, and its rigorous peer review targets the software components: functionality, documentation, tests, continuous integration, and the license. A JOSS article contains an abstract describing the purpose and functionality of the software, references, and a link to the software archive. The article is the entry point of a JOSS submission, which encompasses the full set of software artifacts. Submission and review proceed in the open, on GitHub. Editors, reviewers, and authors work collaboratively and openly. Unlike other journals, JOSS does not reject articles requiring major revision; while not yet accepted, articles remain visible and under review until the authors make adequate changes (or withdraw, if unable to meet requirements). Once an article is accepted, JOSS gives it a digital object identifier (DOI), deposits its metadata in Crossref, and the article can begin collecting citations on indexers like Google Scholar and other services. Authors retain copyright of their JOSS article, releasing it under a Creative Commons Attribution 4.0 International License. In its first year, starting in May 2016, JOSS published 111 articles, with more than 40 additional articles under review. JOSS is a sponsored project of the nonprofit organization NumFOCUS and is an affiliate of the Open Source Initiative (OSI).},
language = {en},
urldate = {2018-02-19},
journal = {PeerJ Computer Science},
author = {Smith, Arfon M. and Niemeyer, Kyle E. and Katz, Daniel S. and Barba, Lorena A. and Githinji, George and Gymrek, Melissa and Huff, Kathryn D. and Madan, Christopher R. and Mayes, Abigail Cabunoc and Moerman, Kevin M. and Prins, Pjotr and Ram, Karthik and Rokem, Ariel and Teal, Tracy K. and Guimera, Roman Valls and Vanderplas, Jacob T.},
month = feb,
year = {2018},
pages = {e147},
file = {Full Text PDF:/Users/huff/Zotero/storage/MCQBTVVB/Smith et al. - 2018 - Journal of Open Source Software (JOSS) design and.pdf:application/pdf;Fulltext:/Users/huff/Zotero/storage/SUEMGFP2/cs-147.html:text/html;Snapshot:/Users/huff/Zotero/storage/T7FU3G6Z/cs-147.html:text/html;Snapshot:/Users/huff/Zotero/storage/GNCWWW38/cs-147.html:text/html},
}
@techreport{bae_non-algorithmic_2017,
address = {Urbana, IL},
type = {Graduate {Report}},
title = {Non-algorithmic {Capability} {Gaps} for {Cyclus} and {Cycamore} transition analyses},
url = {https://github.com/arfc/transition-scenarios},
abstract = {As part of NEUP-FY16-10512, fuel cycle
transition scenarios were simulated using Cyclus and existing Cycamore archetypes.
The purpose of this study
is to identify current non-algorithmic gaps in the capabilities necessary for key transition scenarios.
The gaps identified through this exercise mainly pertain to the greedy exchange model, and the manual, static parameter of fuel cycle facilities.
The scenarios are from the Idaho National Laboratory Nuclear Fuel Cycle Evaluation and Screening Report. The transition scenarios begin with EG01 and transition to EG23, EG24, EG29, EG30,
separately.},
number = {UIUC-ARFC-2017-02},
institution = {University of Illinois at Urbana-Champaign},
author = {Bae, Jin Whan and Huff, Kathryn D.},
month = nov,
year = {2017},
doi = {10.5281/zenodo.1145439},
keywords = {arfc, report},
pages = {0--12},
file = {uiuc-arfc-2017-02.pdf:/Users/huff/Zotero/storage/3GFDQRRG/uiuc-arfc-2017-02.pdf:application/pdf},
}
@inproceedings{kissinger_simulating_2018,
address = {Gainesville, FL, United States},
title = {Simulating the {Spent} {Fuel} {Recipe} of a {Sodium}-{Cooled} {Fast} {Reactor}},
booktitle = {Proceedings of the {American} {Nuclear} {Society} 2018 {National} {Student} {Conference},},
publisher = {American Nuclear Society},
author = {Kissinger, Louis},
month = apr,
year = {2018},
}
@article{bae_arfc/transition-scenarios:_2018,
series = {{GitHub}},
title = {arfc/transition-scenarios: {Synergistic} {Spent} {Nuclear} {Fuel} {Dynamics} {Within} the {European} {Union} v2.0.0},
doi = {10.5281/zenodo.1210302},
abstract = {This release contains code to reproduce the plots used in the paper Synergistic Spent Nuclear Fuel Dynamics Within the European Union by Jin Whan Bae, Clifford Singer, Kathryn Huff},
urldate = {2018-04-03},
journal = {Zenodo},
author = {Bae, Jin Whan and Park, Gyu Tae and Huff, Katy and Chee, Gwendolyn},
month = mar,
year = {2018},
keywords = {agent-based, european union, simulation, spent nuclear fuel, Transition},
file = {Zenodo Snapshot:/Users/huff/Zotero/storage/CENLDTVM/1210302.html:text/html},
}
@misc{chaube_i2cner:_2018,
title = {i2cner: {Holds} software, notes, documentation, and publications related to the {ARFC} {I2CNER} project on dynamic energy systems analysis},
copyright = {BSD-3-Clause},
shorttitle = {i2cner},
url = {https://github.com/arfc/i2cner},
urldate = {2018-03-27},
publisher = {Advanced Reactors and Fuel Cycles},
author = {Chaube, Anshuman and Huff, Kathryn},
month = jan,
year = {2018},
note = {original-date: 2017-11-22T19:29:40Z},
keywords = {Energy, Japan, analysis, energy-analysis, i2cner},
file = {Snapshot:/Users/huff/Zotero/storage/JAK9EALT/i2cner.html:text/html},
}
@inproceedings{ridley_introduction_2017,
address = {Washington D.C.},
title = {An {Introduction} to {Moltres}, an {MSR} {Multiphysics} {Code}},
url = {http://arfc.github.io/pres/2017-10-31-moltres.pdf},
booktitle = {Transactions of the {American} {Nuclear} {Society}},
publisher = {American Nuclear Society},
author = {Ridley, Gavin and Lindsay, Alexander and Huff, Kathryn},
month = oct,
year = {2017},
}
@inproceedings{huff_numerical_2012,
address = {Chicago, IL, United States},
series = {Modeling and {Simulation} in the {Fuel} {Cycle}},
title = {Numerical {Calibration} of an {Analytical} {Generic} {Nuclear} {Repository} {Heat} {Transfer} {Model}},
volume = {106},
url = {http://epubs.ans.org/?a=13699},
abstract = {This work describes a benchmarking effort conducted to de- termine the accuracy of a new generic geology thermal repos- itory model relative to more traditional techniques and pro- poses a physically plausible auxillary thermal resistance com- ponent to improve their agreement.},
language = {English},
booktitle = {Transactions of the {American} {Nuclear} {Society}},
publisher = {American Nuclear Society, La Grange Park, IL 60526, United States},
author = {Huff, Kathryn and Bauer, Theodore H.},
month = jun,
year = {2012},
pages = {260--263},
file = {ans2012pres.pdf:/Users/huff/Zotero/storage/CX5QC6ZF/ans2012pres.pdf:application/pdf;trans_v106_n1_pp260-263.pdf:/Users/huff/Zotero/storage/ICEUPH4S/trans_v106_n1_pp260-263.pdf:application/pdf},
}
@techreport{huff_fy12_2012,
address = {Argonne, IL, United States},
type = {Technical {Report}},
title = {{FY12} {Sensitivity} {Studies} {Using} the {UFD} {Clay} {Generic} {Disposal} {System} {Model}},
shorttitle = {{ANL} {FY12} {Clay} {GDSM} {Input} {Milestone}},
abstract = {The four Generic Disposal System Models (GDSMs) developed by the Used Fuel Disposition Campaign (UFD) campaign facilitate sensitivity analysis of the long-term post-closure performance of geologic repositories in generic media with respect to various key processes and parameters [1]. Processes and parameters expected to be influential to repository performance include the rate of waste form degradation, timing of waste package failure, and various coupled geochemical and hydrologic characteristics of the natural system including diffusion, solubility, and advection.
The results here provide an overview of the relative importance of processes and parameters that affect the long term performance attributes of clay generic disposal environments. This work is not intended to give an assessment of the performance of a specific disposal system. Rather, it is intended to generically identify properties and parameters expected to influence repository performance in generic clay geologic environments.},
language = {English},
number = {FCRD-USED-2012-000141},
institution = {Argonne National Laboratory (ANL)},
author = {Huff, Kathryn D. and Nutt, W. Mark},
month = jul,
year = {2012},
pages = {1--34},
file = {ANL FY12 Clay GDSM Input Milestone.doc:/Users/huff/Zotero/storage/QXHCSHNU/ANL FY12 Clay GDSM Input Milestone.doc:application/msword;ANL FY12 Clay GDSM Input Milestone.doc:/Users/huff/Zotero/storage/GDIMRQM6/ANL FY12 Clay GDSM Input Milestone.doc:application/msword;ANL FY12 Clay GDSM Input Milestone.pdf:/Users/huff/Zotero/storage/JNRT9QMG/ANL FY12 Clay GDSM Input Milestone.pdf:application/pdf;ANL FY12 Clay GDSM Input Milestone.pdf:/Users/huff/Zotero/storage/83WMQM9G/ANL FY12 Clay GDSM Input Milestone.pdf:application/pdf;ANL FY12 Clay GDSM Input Milestone.pdf:/Users/huff/Zotero/storage/6XUI8WQ4/ANL FY12 Clay GDSM Input Milestone.pdf:application/pdf;ANL FY12 Clay GDSM Input Milestone.pdf:/Users/huff/Zotero/storage/NGR2C6GE/ANL FY12 Clay GDSM Input Milestone.pdf:application/pdf},
}
@techreport{huff_excess_2003,
address = {Los Alamos, NM, United States},
title = {Excess {Single} {Event} {Effects} in the {Second} {Chip} of a {Series}},
number = {0},
institution = {Los Alamos National Laboratory Report},
author = {Huff, Kathryn D.},
month = aug,
year = {2003},
keywords = {KHuff},
file = {secondchip03.pdf:/Users/huff/Zotero/storage/RGPSJ4XX/secondchip03.pdf:application/pdf},
}
@techreport{huff_digital_2004,
address = {Los Alamos, NM, United States},
title = {Digital filtering applications to the lead slowing-down spectrometer},
number = {0},
institution = {Los Alamos National Laboratory Report LA-UR-04-8757, 2004},
author = {Huff, Kathryn D.},
year = {2004},
keywords = {KHuff},
file = {digitalfilter04.pdf:/Users/huff/Zotero/storage/TAM48J33/digitalfilter04.pdf:application/pdf},
}
@techreport{andreades_technical_2014,
address = {Berkeley, CA},
type = {Thermal {Hydraulics} {Group}},
title = {Technical {Description} of the `{Mark} 1' {Pebble}-{Bed}, {Fluoride}-{Salt}-{Cooled}, {High}-{Temperature} {Reactor} {Power} {Plant}},
shorttitle = {Paper 14231},
number = {UCBTH-14-002},
institution = {University of California, Berkeley, Department of Nuclear Engineering},
author = {Andreades, C. and Cisneros, A.T. and Choi, J.K. and Chong, A.Y.K and Krumwiede, David L. and Huddar, Lakshana and Huff, Kathryn D. and Laufer, M.D. and Munk, Madicken and Scarlat, Raluca O. and Seifried, Jeffrey E. and Zwiebaum, Nicolas and Greenspan, Ehud and Peterson, Per F.},
month = sep,
year = {2014},
file = {andreades_technical_2014.pdf:/Users/huff/Zotero/storage/AA6RXKPM/andreades_technical_2014.pdf:application/pdf},
}
@techreport{huff_next_2010,
title = {Next {Generation} {Fuel} {Cycle} {Simulator} {Functions} and {Requirements} {Document}},
number = {fcrd-sysa-2010-000110},
institution = {Idaho National Laboratory},
author = {Huff, Kathryn and Dixon, Brent},
month = jul,
year = {2010},
file = {FCS- Next Generation Fuel Cycle Simulator (FCS) Functions and Requirements.pdf:/Users/huff/Zotero/storage/AUHNJFXZ/FCS- Next Generation Fuel Cycle Simulator (FCS) Functions and Requirements.pdf:application/pdf;Google Scholar Linked Page:/Users/huff/Zotero/storage/JGDIWMHB/JGDIWMHB.pdf:application/pdf;Next Generation Fuel Cycle Simulator (FCS) Functions and Requirements.docx:/Users/huff/Zotero/storage/DN3BPEMQ/Next Generation Fuel Cycle Simulator (FCS) Functions and Requirements.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document},
}
@article{carlsen_cyclus_2014,
title = {Cyclus v1.0.0},
doi = {10.6084/m9.figshare.1041745},
abstract = {Cyclus is the next-generation agent-based nuclear fuel cycle simulator, providing flexibility to users and developers through adynamic resource exchange solver and plug-in, user-developed agent framework.
The goal of Cyclus is to enable a broad spectrum of fuel cycle simulation while providing a low barrier to entry for new users and agent developers. Cyclus engages with potential module developers and encourages them to join a vibrant community in anexpanding ecosystem. Users and developers are always welcome and encouraged to use or contribute to the Cyclus project.},
urldate = {2014-06-24},
journal = {Figshare},
author = {Carlsen, Robert W. and Gidden, Matthew and Huff, Kathryn and Opotowsky, Arrielle C. and Rakhimov, Olzhas and Scopatz, Anthony M. and Welch, Zach and Wilson, Paul},
month = jun,
year = {2014},
keywords = {Nuclear fuel cycle, agent-based simulation},
file = {cyclus_1.0.0:/Users/huff/Zotero/storage/BDXXRM7B/Carlsen et al. - 2014 - Cyclus v1.0.0.zip:application/zip;cyclus_1.0.0:/Users/huff/Zotero/storage/HW2QA8MN/Carlsen et al. - 2014 - Cyclus v1.0.0.zip:application/zip;Figshare Download:/Users/huff/Zotero/storage/NN545PPD/Carlsen et al. - 2014 - Cyclus v1.0.0.zip:application/zip;Figshare Download:/Users/huff/Zotero/storage/5MZCI93N/Carlsen et al. - 2014 - Cyclus v1.0.0.zip:application/zip;Figshare Snapshot:/Users/huff/Zotero/storage/T982H6ZW/1041745.html:text/html;Figshare Snapshot:/Users/huff/Zotero/storage/SEA6MHKH/1041745.html:text/html;Full Text (HTML):/Users/huff/Zotero/storage/QSIAAMM8/1041745.html:text/html;Full Text (HTML):/Users/huff/Zotero/storage/H2K87S9S/1041745.html:text/html},
}
@inproceedings{krumwiede_design_2014,
address = {Charlotte, North Carolina},
title = {Design of the {Mark}-1 {Pebble}-{Bed}, {Fluoride}-{Salt}-{Cooled}, {High}-{Temperature} {Reactor} {Commercial} {Power} {Plant}},
volume = {1},
shorttitle = {Paper 14231},
url = {https://api.semanticscholar.org/CorpusID:30717062},
booktitle = {Proceedings of {ICAPP}},
publisher = {American Nuclear Society},
author = {Krumwiede, David L. and Andreades, C. and Choi, J.K. and Cisneros, A.T. and Huddar, Lakshana and Huff, Kathryn D. and Laufer, M.D. and Munk, Madicken and Scarlat, Raluca O. and Seifried, Jeffrey E. and Zwiebaum, Nicolas and Greenspan, Ehud and Peterson, Per F.},
year = {2014},
file = {ICAPP 2014 FHR Design.pdf:/Users/huff/Zotero/storage/BFMHUH6X/ICAPP 2014 FHR Design.pdf:application/pdf},
}
@inproceedings{gidden_agent-based_2013,
address = {Salt Lake City, UT, United States},
series = {Nuclear {Fuel} {Cycle} and {Fuel} {Materials}},
title = {An {Agent}-{Based} {Framework} for {Fuel} {Cycle} {Simulation} with {Recycling}},
volume = {45},
url = {https://inis.iaea.org/search/search.aspx?orig_q=RN:45085433},
abstract = {Simulation of the nuclear fuel cycle is an established field with multiple players. Prior development work has utilized tech- niques such as system dynamics to provide a solution structure for the matching of supply and demand in these simulations. In general, however, simulation infrastructure development has occured in relatively closed circles, each effort having unique considerations as to the cases which are desired to be modeled. Accordingly, individual simulators tend to have their design decisions driven by specific use cases. Presented in this work is a proposed supply and demand matching algorithm that lever- ages the techniques of the well-studied field of mathematical programming. A generic approach is achieved by treating fa- cilities as individual entities and actors in the supply-demand market which denote preferences amongst commodities. Using such a framework allows for varying levels of interaction fi- delity, ranging from low-fidelity, quick solutions to high-fidelity solutions that model individual transactions (e.g. at the fuel- assembly level). The power of the technique is that it allows such flexibility while still treating the problem in a generic man- ner, encapsulating simulation engine design decisions in such a way that future simulation requirements can be relatively easily added when needed.},
booktitle = {Proceedings of {GLOBAL}},
author = {Gidden, Matthew and Wilson, Paul and Huff, Kathryn D. and Carlsen, Robert W.},
month = sep,
year = {2013},
file = {abstract.pdf:/Users/huff/Zotero/storage/EGDJQBFB/abstract.pdf:application/pdf;paper.pdf:/Users/huff/Zotero/storage/B5S7VPDZ/paper.pdf:application/pdf},
}
@phdthesis{huff_integrated_2011,
address = {Madison},
type = {Prelim},
title = {An {Integrated} {Used} {Fuel} {Disposition} {And} {Generic} {Repository} {Model}},
school = {University of Wisconsin},
author = {Huff, Kathryn D.},
month = sep,
year = {2011},
file = {prelim.pdf:/Users/huff/Zotero/storage/KBXHBTEV/prelim.pdf:application/pdf;prelimPres.pdf:/Users/huff/Zotero/storage/7VVNAS66/prelimPres.pdf:application/pdf},
}
@techreport{biris_analysis_2008,
address = {Chicago, IL, United States},
type = {capstone report},
title = {An {Analysis} of the {Consolidated} {Fuel} {Treatment} {Center} {Nuclear} {Reprocessing} {Initiative}},
url = {http://humanities.uchicago.edu/orgs/institute/bigproblems/Energy/BP-Energy-Reprocessing.doc},
number = {BP-EP-2008-07},
urldate = {2010-01-28},
institution = {University of Chicago},
author = {Biris, Octavia and Gracey, Kyle and Huff, Kathryn D. and Ng, Wai Keong},
month = jun,
year = {2008},
keywords = {KHuff},
file = {BP-Energy-Reprocessing.doc:/Users/huff/Zotero/storage/QHNXGMS7/BP-Energy-Reprocessing.doc:application/msword},
}
@phdthesis{huff_quiet_2008,
address = {Chicago, IL, United States},
type = {Undergraduate},
title = {{QUIET} {Celestial} {Gain} {Calibrations}},
url = {katyhuff.github.io/papers/CalibrationsThesis.pdf},
school = {University of Chicago},
author = {Huff, Kathryn D.},
month = may,
year = {2008},
keywords = {KHuff},
file = {Calibrations.pdf:/Users/huff/Zotero/storage/2CG34PMJ/Calibrations.pdf:application/pdf},
}
@inproceedings{scopatz_pyne:_2012,
address = {San Diego, CA, USA},
series = {Reactor {Physics}: {General}{\textemdash}{I}},
title = {{PyNE}: {Python} for {Nuclear} {Engineering}},
volume = {107},
url = {http://epubs.ans.org/?a=14978},
abstract = {PyNE, or 'Python for Nuclear Engineering' 1 , is a nascent
free and open source C++/Cython/Python package for perform-
ing common nuclear engineering tasks. This is intended as a
base level tool kit - akin to SciPy or Biopython - for common
algorithms in the nuclear science and engineering domain.
The remainer of this paper is composed of a discussion of the
difficulties which prevented PyNE from being written earlier,
a listing of the first cut capabilities, and a description of why
PyNE has thus far been successful and what future features are
currently planned.},
booktitle = {Proceedings of the {American} {Nuclear} {Society} {Winter} {Conference}},
publisher = {American Nuclear Society},
author = {Scopatz, Anthony and Romano, Paul K. and Wilson, Paul P. H. and Huff, Kathryn D.},
month = nov,
year = {2012},
pages = {985--987},
file = {trans_v107_n1_pp985-987.pdf:/Users/huff/Zotero/storage/TQ9E3XGC/trans_v107_n1_pp985-987.pdf:application/pdf},
}
@inproceedings{bae_benefits_2017,
address = {Charlotte, North Carolina},
title = {Benefits of {Siting} a {Borehole} {Repository} at a {Non}-operating {Nuclear} {Facility}},
url = {http://epubs.ans.org/?a=43329},
abstract = {This work evaluates a potential solution for two pressing
matters in the viability of nuclear energy: spent fuel disposal
and power plants that no longer operate. The potential benefits
of siting a borehole repository at a shut down nuclear power
plant facility are analyzed from the perspective of myriad stake-
holders. This assessment indicates that integrated siting will
make economic use of the shut down power plant, take advan-
tage of spent fuel handling infrastructure at those sites, mini-
mize transportation costs, expedite emptying the crowded spent
fuel storage pools accross the country, and will do so at sites
more likely to have consenting communities.},
booktitle = {Proceedings of the {International} {High} {Level} {Radioactive} {Waste} {Management} {Conference}},
publisher = {American Nuclear Society},
author = {Bae, Jin Whan and Roy, William and Huff, Kathryn D.},
month = apr,
year = {2017},
pages = {876--883},
}
@inproceedings{huff_mox_2010,
address = {Ypsilanti, MI},
title = {{MOX} {Fuel} {Recipe} {Approximation} {Tests} in {GENIUSv2}},
abstract = {The GENIUS project (Global Evaluation of Nuclear Infrastructure Utilization Scenarios) was conceived as the top-level nuclear enterprise simulation tool in the Simulation Institute for Nuclear Enterprise Modelling and Analysis (SINEMA) framework1. The current version, GENIUSv2, is an object-oriented C++ application with Python-based pre- and post-processing.
The GENIUSv2 tool proposes to inform nuclear fuel cycle technology and policy by providing a richly detailed, modular platform capable of dynamically modeling complexly integrated international fuel cycles such as those involving separations and reprocessing schemes.
Here we present results of the GENIUSv2 testing suite which demonstrate neutronics weighting methods for approximating optimal mixed oxide fuel compositions. These weighting methods achieve various levels of success at assembling critical fuel recipes from separated spent fuel streams for fuel cycles incorporating mixed oxide reprocessing. Results of neutronics constraining and neutronics weighting methods are here compared and alternative linear programmatic formulations are proposed for determining mixed-oxide (MOX) fuel compositions from available material.},
booktitle = {Transactions of the {American} {Nuclear} {Society} {Student} {Meeting}},
author = {Huff, Kathryn D. and Elmore, Royal A. and Oliver, Kyle M. and Wilson, Paul P.H.},
month = apr,
year = {2010},
file = {ansStudent10RAP.doc:/Users/huff/Zotero/storage/V8G5DB2Z/ansStudent10RAP.doc:application/msword},
}
@inproceedings{mujica_solid-liquid-like_2008,
title = {Solid-liquid-like transition in vibrated granular monolayers},
url = {http://adsabs.harvard.edu/abs/2008APS..DFD.HM008M},
abstract = {The theory of non-ideal gases in thermodynamic equilibrium, for instance the van der Waals gas model, has played a central role in the understanding of coexisting phases. Here, we report a combined experimental, numerical and theoretical study of a liquid-solid-like phase transition which takes place in a vertically vibrated fluidized granular monolayer. The first experimental setup is a long, narrow channel, with a width of the order of a few particle diameters, hence the dynamics is quasi-one-dimensional. We have considered this configuration to characterize the dynamic behavior of the phase transition. The second setup is used to measure the pressure as function of particle density in order to clarify the physical mechanism behind this phase transition. We demonstrate that the transition is mediated by waves and that it is triggered by a negative compressibility as in van der Waals phase coexistence, although the system does not satisfy the hypotheses used to understand atomic systems. Finally, in order to further characterize this phase transition, we study static and dynamic correlation functions, and bond-orientational order parameters.},
language = {en},
urldate = {2014-10-10},
booktitle = {{APS} {Division} of {Fluid} {Dynamics} {Meeting} {Abstracts}},
author = {Mujica, Nicolas and Clerc, Marcel and Cordero, Patricio and Dunstan, Jocelyn and Huff, Kathryn D. and Oyarte, Loreto and Soto, Rodrigo and Varas, German and Risso, Dino},
month = nov,
year = {2008},
keywords = {KHuff},
file = {Snapshot:/Users/huff/Zotero/storage/4GI7D9UA/2008APS..DFD.html:text/html;Solid-liquid-like transition in vibrated granular monolayers:/Users/huff/Zotero/storage/WUM5GTPK/2008APS..DFD.html:text/html},
}
@inproceedings{oliver_studying_2009,
address = {Paris, France},
series = {{GLOBAL} 2009: {Advanced} {Nuclear} {Fuel} {Cycles} and {Systems}},
title = {Studying international fuel cycle robustness with the {GENIUSv2} discrete facilities/materials fuel cycle systems analysis tool},
url = {https://sfen.fr/GLOBAL-2009},
booktitle = {Proceedings of {GLOBAL} 2009},
author = {Oliver, Kyle M. and Wilson, Paul P.H. and Reveillere, Arnaud and Ahn, Tae Wook and Dunn, Kerry and Huff, Kathryn D. and Elmore, Royal A.},
month = sep,
year = {2009},
keywords = {Discrete Facility/ Discrete Model (DF/DM), Geniusv2, Capacity, Mass Flow Data, Nuclear Fuel Cycle Facilities, Nuclear Fuel Cycle Systems Analysis Tool},
file = {2009_9_Oliver-GENIUS-GLOBAL2009-abstract.doc:/Users/huff/Zotero/storage/UQM8PS63/2009_9_Oliver-GENIUS-GLOBAL2009-abstract.doc:application/msword;2009_9_Oliver-GENIUS-GLOBAL2009-proceedings.pdf:/Users/huff/Zotero/storage/NUX2KS8H/2009_9_Oliver-GENIUS-GLOBAL2009-proceedings.pdf:application/pdf;2009_9_Oliver-GENIUS-GLOBAL2009-submission.doc:/Users/huff/Zotero/storage/7VZ5TN97/2009_9_Oliver-GENIUS-GLOBAL2009-submission.doc:application/msword;2009_9_Oliver-GENIUS-GLOBAL2009-submission.pdf:/Users/huff/Zotero/storage/AUWFJWRA/2009_9_Oliver-GENIUS-GLOBAL2009-submission.pdf:application/pdf},
}
@inproceedings{djokic_application_2015,
address = {Paris, France},
series = {{LLNL}-{CONF}-669315},
title = {The {Application} of {CYCLUS} to {Fuel} {Cycle} {Transition} {Analysis}},
url = {https://www.osti.gov/biblio/1241931-application-cyclus-fuel-cycle-transition-analysis},
booktitle = {Proceedings of {Global} 2015},
author = {Djokic, Denia and Scopatz, Anthony M. and Greenberg, Harris R. and Huff, Kathryn D. and Nibbelink, Russell P. and Fratoni, Massimiliano},
month = sep,
year = {2015},
file = {5061- final.docx:/Users/huff/Zotero/storage/DC74DKEB/5061- final.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document;5061- final.pdf:/Users/huff/Zotero/storage/U9VFZXBD/U9VFZXBD.pdf:application/pdf},
}
@techreport{lindsay_advanced_2016,
address = {Urbana, IL},
type = {Technical {Report}},
title = {Advanced {Reactor} {Fuel} {Cycles} {Molten} {Salt} {Reactor} {Design}},
url = {https://github.com/arfc/MSR-design},
institution = {University of Illinois at Urbana-Champaign},
author = {Lindsay, Alex and Rykhlevskii, Andrei and Huff, Kathryn},
month = aug,
year = {2016},
pages = {0--17},
file = {MSR-design.pdf:/Users/huff/Zotero/storage/VHQVZRB2/MSR-design.pdf:application/pdf},
}
@inproceedings{bates_pyne_2014,
address = {Anaheim, CA, United States},
title = {{PyNE} {Progress} {Report}},
volume = {111},
url = {http://epubs.ans.org/?a=36617},
abstract = {PyNE is a suite of free and open source (BSD licensed)
tools to aid in computational nuclear science and engineer-
ing. PyNE seeks to provide native implementations of com-
mon nuclear algorithms, as well as an interface for the script-
ing language Python and I/O support for industry standard
nuclear codes and data formats. In the past year PyNE
has added many features including a Rigorous 2-step Ac-
tivation workflow (R2S) [1], Direct Accelerated Geometry
Monte Carlo (DAGMC) ray tracing [2], Consistent Adjoint-
Weighted Importance Sampling (CADIS) variance reduction
[3], and expanded ENSDF parsing support. As a part of our
ongoing efforts to implement a verification and validation
framework we also added continuous integration using the
Build and Test Lab [4] at the University of Wisconsin. The
PyNE development team has also improved PyNE{\textquoteright}s ease of
use by making binaries available for Windows, Mac, and
Linux through the conda package manager as well as adding
Python 3 support.},
booktitle = {Transactions of the {American} {Nuclear} {Society}},
publisher = {American Nuclear Society},
author = {Bates, Cameron and Biondo, Elliot D. and Huff, Kathryn D. and Kiesling, Kalin and Scopatz, Anthony M.},
month = nov,
year = {2014},
note = {tex.ids: bates\_pyne\_2014},
pages = {1165--1168},
file = {Fulltext:/Users/huff/Zotero/storage/LDIWXJRV/Bates et al. - 2014 - PyNE progress report.pdf:application/pdf;Snapshot:/Users/huff/Zotero/storage/VP45CSRG/Bates et al. - 2014 - PyNE progress report.pdf:application/pdf},
}
@techreport{djokic_application_2015-1,
title = {The {Application} of {CYCLUS} to {Fuel} {Cycle} {Transition} {Analysis}},
url = {https://e-reports-ext.llnl.gov/pdf/791037.pdf},
urldate = {2017-08-10},
institution = {Lawrence Livermore National Laboratory (LLNL), Livermore, CA},
author = {Djokic, Denia and Scopatz, Anthony and Greenberg, Harris R. and Huff, Kathryn D. and Nibbleink, R. P. and Fratoni, Massimiliano},
month = apr,
year = {2015},
file = {[PDF] llnl.gov:/Users/huff/Zotero/storage/5WJ9CPM2/Djokic et al. - 2015 - The Application of CYCLUS to Fuel Cycle Transition.pdf:application/pdf},
}
@techreport{huff_benchmarking_2012,
address = {Argonne, IL, United States},
type = {Technical {Report}},
title = {Benchmarking a {New} {Closed}-{Form} {Thermal} {Analysis} {Technique} {Against} a {Traditional} {Lumped} {Parameter}, {Finite}-{Difference} {Method}},
abstract = {A benchmarking effort was conducted to determine the accuracy of a new analytic generic geology thermal repository model developed at LLNL[1, 2, 3] relative to a more traditional, numerical, lumped parameter technique.},
language = {English},
number = {FCRD-UFD-000142},
institution = {Argonne National Laboratory},
author = {Huff, Kathryn D. and Bauer, Theodore H.},
month = jul,
year = {2012},
pages = {1--17},
file = {FCRD-UFD-2012-000142.doc:/Users/huff/Zotero/storage/F662BFUK/FCRD-UFD-2012-000142.doc:application/msword;FCRD-UFD-2012-000142.pdf:/Users/huff/Zotero/storage/WZK3R2V3/FCRD-UFD-2012-000142.pdf:application/pdf},
}
@article{wilson_best_2014,
title = {Best {Practices} for {Scientific} {Computing}},
volume = {12},
url = {http://dx.doi.org/10.1371/journal.pbio.1001745},
doi = {10.1371/journal.pbio.1001745},
abstract = {We describe a set of best practices for scientific software development, based on research and experience, that will improve scientists' productivity and the reliability of their software.},
number = {1},
urldate = {2014-09-08},
journal = {PLoS Biol},
author = {Wilson, Greg V. and Aruliah, D. A. and Brown, C. Titus and Chue Hong, Neil P. and Davis, Matt and Guy, Richard T. and Haddock, Steven H. D. and Huff, Kathryn D. and Mitchell, Ian M. and Plumbley, Mark D. and Waugh, Ben and White, Ethan P. and Wilson, Paul},
month = jan,
year = {2014},
keywords = {Science, science, Computer Science - Software Engineering, Computer Science - Mathematical Software, recommendation, software},
pages = {e1001745},
file = {1210.0530 PDF:/Users/huff/Zotero/storage/RUGPQ89Z/Wilson et al. - 2012 - Best Practices for Scientific Computing.pdf:application/pdf;1210.0530 PDF:/Users/huff/Zotero/storage/6BWMN925/Wilson et al. - 2012 - Best Practices for Scientific Computing.pdf:application/pdf;arXiv.org Snapshot:/Users/huff/Zotero/storage/GEAQU4PR/Wilson et al. - 2012 - Best Practices for Scientific Computing.html:text/html;arXiv.org Snapshot:/Users/huff/Zotero/storage/TNJ5VZBD/Wilson et al. - 2012 - Best Practices for Scientific Computing.html:text/html;PLoS Full Text PDF:/Users/huff/Zotero/storage/JG3XZ3EN/Wilson et al. - 2014 - Best Practices for Scientific Computing.pdf:application/pdf;PLoS Full Text PDF:/Users/huff/Zotero/storage/T7PS6IGX/Wilson et al. - 2014 - Best Practices for Scientific Computing.pdf:application/pdf;PLoS Full Text PDF:/Users/huff/Zotero/storage/NZPICHHU/Wilson et al. - 2014 - Best Practices for Scientific Computing.pdf:application/pdf;PLoS Full Text PDF:/Users/huff/Zotero/storage/DRSWE54I/Wilson et al. - 2014 - Best Practices for Scientific Computing.pdf:application/pdf;PLoS Snapshot:/Users/huff/Zotero/storage/JWG3964F/infodoi10.1371journal.pbio.html:text/html;PLoS Snapshot:/Users/huff/Zotero/storage/GVVR84ZK/infodoi10.1371journal.pbio.html:text/html;PLoS Snapshot:/Users/huff/Zotero/storage/A9HDSJBB/Wilson et al. - 2014 - Best Practices for Scientific Computing.html:text/html;PLoS Snapshot:/Users/huff/Zotero/storage/FXDIXXQ2/Wilson et al. - 2014 - Best Practices for Scientific Computing.html:text/html},
}
@inproceedings{huff_dynamic_2013,
address = {Atlanta, GA, United States},
title = {Dynamic {Determination} of {Thermal} {Repository} {Capacity} {For} {Fuel} {Cycle} {Analysis}},
volume = {108},
url = {http://epubs.ans.org/?a=16524},
abstract = {An algorithm and supporting database for rapid thermal
repository capacity calculation implemented in Cyder, a soft-
ware library for coupled thermal and hydrologic repository per-
formance analysis, is described. Integration of Cyder with the
Cyclus fuel cycle simulator is also described. Finally, a proof
of principle demonstration is presented in which the rapid cal-
culation method described here is compared with results of a
more detailed model.},
booktitle = {Transactions of the {American} {Nuclear} {Society}},
publisher = {American Nuclear Society},
author = {Huff, Kathryn D. and Bara, Alexander T.},
month = jun,
year = {2013},
pages = {123--126},
file = {trans_v108_n1_pp123-126 (1).pdf:/Users/huff/Zotero/storage/3I456PBS/trans_v108_n1_pp123-126 (1).pdf:application/pdf},
}
@inproceedings{huff_key_2012,
address = {San Diego, CA},
series = {Environmental {Sciences} -- {General}},
title = {Key {Processes} and {Parameters} in a {Generic} {Clay} {Disposal} {System} {Model}},
volume = {107},
url = {http://epubs.ans.org/?a=14711},
abstract = {Sensitivity analysis was performed with respect to various
key processes and parameters affecting long-term post-closure
performance of geologic repositories in clay media. Based
on the detailed computational Clay Generic Disposal Sys-
tem Model (GDSM) developed by the Used Fuel Disposition
(UFD) campaign [1], these results provide an overview of the