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A practical guide to machine learning interatomic potentials -- Status and future

Fuente: arXiv

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Bibliographic Details
Main Authors:	Jacobs, Ryan, Morgan, Dane, Attarian, Siamak, Meng, Jun, Shen, Chen, Wu, Zhenghao, Xie, Clare Yijia, Yang, Julia H., Artrith, Nongnuch, Blaiszik, Ben, Ceder, Gerbrand, Choudhary, Kamal, Csanyi, Gabor, Cubuk, Ekin Dogus, Deng, Bowen, Drautz, Ralf, Fu, Xiang, Godwin, Jonathan, Honavar, Vasant, Isayev, Olexandr, Johansson, Anders, Kozinsky, Boris, Martiniani, Stefano, Ong, Shyue Ping, Poltavsky, Igor, Schmidt, KJ, Takamoto, So, Thompson, Aidan, Westermayr, Julia, Wood, Brandon M.
Format:	Preprint
Published:	2025
Subjects:	Materials Science Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2503.09814