ænet-PyTorch: A GPU-supported implementation for machine learning atomic potentials training. López-Zorrilla, J., Aretxabaleta, X., Yeu, I., Etxebarria, I., Manzano, H., & Artrith, N. Journal of Chemical Physics, 2023.
ænet-PyTorch: A GPU-supported implementation for machine learning atomic potentials training [link]Paper  doi  bibtex   
@article{lopez-zorrilla_aenet-pytorch_2023,
	title = {ænet-{PyTorch}: {A} {GPU}-supported implementation for machine learning atomic potentials training},
	volume = {158},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153687480&doi=10.1063%2f5.0146803&partnerID=40&md5=95d63ffbda8b35d33d9b7da97ee65cef},
	doi = {10.1063/5.0146803},
	number = {16},
	journal = {Journal of Chemical Physics},
	author = {López-Zorrilla, J. and Aretxabaleta, X.M. and Yeu, I.W. and Etxebarria, I. and Manzano, H. and Artrith, N.},
	year = {2023},
}

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