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...ating-vision-transformer-based-models-for-closure-modeling-of-fluid-dynamical-systems.bib
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%% Intro references | ||
@article{schultz2021can, | ||
title={Can deep learning beat numerical weather prediction?}, | ||
author={Schultz, Martin G and Betancourt, Clara and Gong, Bing and Kleinert, Felix and Langguth, Michael and Leufen, Lukas Hubert and Mozaffari, Amirpasha and Stadtler, Scarlet}, | ||
journal={Philosophical Transactions of the Royal Society A}, | ||
volume={379}, | ||
number={2194}, | ||
pages={20200097}, | ||
year={2021}, | ||
publisher={The Royal Society Publishing} | ||
} | ||
|
||
@article{pathak2022fourcastnet, | ||
title={Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators}, | ||
author={Pathak, Jaideep and Subramanian, Shashank and Harrington, Peter and Raja, Sanjeev and Chattopadhyay, Ashesh and Mardani, Morteza and Kurth, Thorsten and Hall, David and Li, Zongyi and Azizzadenesheli, Kamyar and others}, | ||
journal={arXiv preprint arXiv:2202.11214}, | ||
year={2022} | ||
} | ||
|
||
@article{lam2022graphcast, | ||
title={GraphCast: Learning skillful medium-range global weather forecasting}, | ||
author={Lam, Remi and Sanchez-Gonzalez, Alvaro and Willson, Matthew and Wirnsberger, Peter and Fortunato, Meire and Pritzel, Alexander and Ravuri, Suman and Ewalds, Timo and Alet, Ferran and Eaton-Rosen, Zach and others}, | ||
journal={arXiv preprint arXiv:2212.12794}, | ||
year={2022} | ||
} | ||
|
||
@article{lino2023current, | ||
title={Current and emerging deep-learning methods for the simulation of fluid dynamics}, | ||
author={Lino, Mario and Fotiadis, Stathi and Bharath, Anil A and Cantwell, Chris D}, | ||
journal={Proceedings of the Royal Society A}, | ||
volume={479}, | ||
number={2275}, | ||
pages={20230058}, | ||
year={2023}, | ||
publisher={The Royal Society} | ||
} | ||
|
||
@article{dosovitskiy2020image, | ||
title={An image is worth 16x16 words: Transformers for image recognition at scale}, | ||
author={Dosovitskiy, Alexey and Beyer, Lucas and Kolesnikov, Alexander and Weissenborn, Dirk and Zhai, Xiaohua and Unterthiner, Thomas and Dehghani, Mostafa and Minderer, Matthias and Heigold, Georg and Gelly, Sylvain and others}, | ||
journal={arXiv preprint arXiv:2010.11929}, | ||
year={2020} | ||
} | ||
|
||
%% FpC references | ||
@book{cohen2004fluid, | ||
title={Fluid mechanics}, | ||
author={Cohen, Ira M and Kundu, Pijush K}, | ||
year={2004}, | ||
publisher={Elsevier} | ||
} | ||
|
||
@article{ueckermann20122, | ||
title={2.29 Finite volume MATLAB framework documentation}, | ||
author={Ueckermann, Mattheus P and Lermusiaux, Pierre FJ}, | ||
journal={MSEAS report}, | ||
volume={14}, | ||
year={2012} | ||
} | ||
|
||
%% Neural closure references | ||
@article{gupta2021neural, | ||
title={Neural closure models for dynamical systems}, | ||
author={Gupta, Abhinav and Lermusiaux, Pierre FJ}, | ||
journal={Proceedings of the Royal Society A}, | ||
volume={477}, | ||
number={2252}, | ||
pages={20201004}, | ||
year={2021}, | ||
publisher={The Royal Society Publishing} | ||
} | ||
|
||
@article{zanna2020data, | ||
title={Data-driven equation discovery of ocean mesoscale closures}, | ||
author={Zanna, Laure and Bolton, Thomas}, | ||
journal={Geophysical Research Letters}, | ||
volume={47}, | ||
number={17}, | ||
pages={e2020GL088376}, | ||
year={2020}, | ||
publisher={Wiley Online Library} | ||
} | ||
|
||
@article{gupta2023generalized, | ||
title={Generalized Neural Closure Models with Interpretability}, | ||
author={Gupta, Abhinav and Lermusiaux, Pierre FJ}, | ||
journal={arXiv preprint arXiv:2301.06198}, | ||
year={2023} | ||
} | ||
|
||
@article{srinivasan2023turbulence, | ||
title={Turbulence closure with small, local neural networks: Forced two-dimensional and $$\backslash$beta $-plane flows}, | ||
author={Srinivasan, Kaushik and Chekroun, Mickael D and McWilliams, James C}, | ||
journal={arXiv preprint arXiv:2304.05029}, | ||
year={2023} | ||
} | ||
|
||
%% Neuralops/ Transformer references | ||
@article{li2020fourier, | ||
title={Fourier neural operator for parametric partial differential equations}, | ||
author={Li, Zongyi and Kovachki, Nikola and Azizzadenesheli, Kamyar and Liu, Burigede and Bhattacharya, Kaushik and Stuart, Andrew and Anandkumar, Anima}, | ||
journal={arXiv preprint arXiv:2010.08895}, | ||
year={2020} | ||
} | ||
|
||
@article{guibas2021adaptive, | ||
title={Adaptive fourier neural operators: Efficient token mixers for transformers}, | ||
author={Guibas, John and Mardani, Morteza and Li, Zongyi and Tao, Andrew and Anandkumar, Anima and Catanzaro, Bryan}, | ||
journal={arXiv preprint arXiv:2111.13587}, | ||
year={2021} | ||
} | ||
|
||
%% Other DL references | ||
@inproceedings{kim2019deep, | ||
title={Deep fluids: A generative network for parameterized fluid simulations}, | ||
author={Kim, Byungsoo and Azevedo, Vinicius C and Thuerey, Nils and Kim, Theodore and Gross, Markus and Solenthaler, Barbara}, | ||
booktitle={Computer graphics forum}, | ||
volume={38}, | ||
number={2}, | ||
pages={59--70}, | ||
year={2019}, | ||
organization={Wiley Online Library} | ||
} | ||
|
||
@article{lippe2023pde, | ||
title={Pde-refiner: Achieving accurate long rollouts with neural pde solvers}, | ||
author={Lippe, Phillip and Veeling, Bastiaan S and Perdikaris, Paris and Turner, Richard E and Brandstetter, Johannes}, | ||
journal={arXiv preprint arXiv:2308.05732}, | ||
year={2023} | ||
} | ||
|
||
@article{renn2023forecasting, | ||
title={Forecasting subcritical cylinder wakes with Fourier Neural Operators}, | ||
author={Renn, Peter I and Wang, Cong and Lale, Sahin and Li, Zongyi and Anandkumar, Anima and Gharib, Morteza}, | ||
journal={arXiv preprint arXiv:2301.08290}, | ||
year={2023} | ||
} |
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