AI & ML interests

Materials Science, Atomistic Machine Learning, Interatomic Potentials, Computational Simulations

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Phonix: Database for Anharmonic Phonon Interactions

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Citation

If you use Phonix, please cite:

Masato Ohnishi, Tianqi Deng, Pol Torres, Zhihao Xu, Terumasa Tadano, Haoming Zhang, Wei Nong, Masatoshi Hanai, Zeyu Wang, Michimasa Morita, Zhiting Tian, Ming Hu, Xiulin Ruan, Ryo Yoshida, Toyotaro Suzumura, Lucas Lindsay, Alan J. H. McGaughey, Tengfei Luo, Kedar Hippalgaonkar, and Junichiro Shiomi, "Database and deep-learning scalability of anharmonic phonon properties by automated brute-force first-principles calculations", npj Computational Materials (2026). arXiv:2504.21245

License

This database is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). See: https://creativecommons.org/licenses/by/4.0/

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