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Merge pull request mala-project#677 from mala-project/acangi-patch-1
Update README.md
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@@ -46,11 +46,13 @@ A full list of contributors can be found [here](docs/source/CONTRIBUTE.md).
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## Citing MALA
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If you publish work which uses or mentions MALA, please cite the following paper:
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If you publish work which uses or mentions MALA, please cite this repository and the following papers:
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J. A. Ellis, L. Fiedler, G. A. Popoola, N. A. Modine, J. A. Stephens, A. P. Thompson,
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A. Cangi, S. Rajamanickam (2021). Accelerating Finite-temperature
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Kohn-Sham Density Functional Theory with Deep Neural Networks.
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[Phys. Rev. B 104, 035120 (2021)](https://doi.org/10.1103/PhysRevB.104.035120)
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- A. Cangi, L. Fiedler, B. Brzoza, K. Shah, T. J. Callow, D. Kotik, S. Schmerler, M. C. Barry, J. M. Goff, A. Rohskopf, D. J. Vogel, N. Modine, A. P. Thompson, S. Rajamanickam,
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Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations,
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[Comp. Phys. Commun. 314, 109654 (2025)](https://doi.org/10.1016/j.cpc.2025.109654).
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- J. A. Ellis, L. Fiedler, G. A. Popoola, N. A. Modine, J. A. Stephens, A. P. Thompson,
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A. Cangi, S. Rajamanickam, Accelerating Finite-Temperature Kohn-Sham Density Functional Theory with Deep Neural Networks,
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[Phys. Rev. B 104, 035120 (2021)](https://doi.org/10.1103/PhysRevB.104.035120).
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alongside this repository.

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