Machine Learning on Experimental Crystal Structures to parameterize Models of the Gibbs Energy in Computational Crystallography
Twenty-Fifth Congress and General Assembly of the International Union of Crystallography - 2021
Références BibTex
@InProceedings{HK21,
author = {Hofmann, D. and Kuleshova, L.},
title = {Machine Learning on Experimental Crystal Structures to parameterize Models of the Gibbs Energy in Computational Crystallography},
booktitle = {Twenty-Fifth Congress and General Assembly of the International Union of Crystallography},
year = {2021},
publisher = {International Union of Crystallography},
keywords = {Machine Learning, Gibb´s energy, crystal lattice energy},
url = {https://publications.crs4.it/pubdocs/2021/HK21},
}