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Merge pull request #44 from hannah-jan/master
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Add moqd-csp paper to papers list
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Aneoshun authored Sep 16, 2024
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papers:


- abstract: 'Crystal structures are indispensable across various domains, from
batteries to solar cells, and extensive research has been dedicated to
predicting their properties based on their atomic configurations.
However, prevailing Crystal Structure Prediction methods focus on identifying
the most stable solutions that lie at the global minimum of the energy function.
This approach overlooks other potentially interesting materials that lie in
neighbouring local minima and have different material properties such as
conductivity or resistance to deformation. By contrast, Quality-Diversity
algorithms provide a promising avenue for Crystal Structure Prediction as
they aim to find a collection of high-performing solutions that have diverse
characteristics. However, it may also be valuable to optimise for the
stability of crystal structures alongside other objectives such as magnetism
or thermoelectric efficiency. Therefore, in this work, we harness the power
of Multi-Objective Quality-Diversity algorithms in order to find crystal
structures which have diverse features and achieve different trade-offs of
objectives. We analyse our approach on 5 crystal systems and demonstrate
that it is not only able to re-discover known real-life structures, but also
find promising new ones. Moreover, we propose a method for illuminating the
objective space to gain an understanding of what trade-offs can be achieved.'

authors:
- Hannah Janmohamed
- Marta Wolinska
- Shikha Surana
- Thomas Pierrot
- Aron Walsh
- Antoine Cully
bibtex: "@article{janmohamed2024multi, \n\ttitle={Multi-Objective Quality-Diversity\
\ for Crystal Structure Prediction}, \n\tauthor={Janmohamed, Hannah and Wolinska,\
\ Marta and Surana, Shikha and Pierrot, Thomas and Walsh, Aron and Cully,\
\ Antoine},\n\tjournal={arXiv preprint arXiv:2403.17164},\n\tyear={2024}}"
pdfurl: https://arxiv.org/pdf/2403.17164
title: "Multi\u2013Objective Quality\u2013Diversity for Crystal Structure Prediction"
year: 2024

- abstract: 'In recent years, there have been considerable academic and industrial
research efforts to develop novel generative models for high-performing, small molecules.
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