CRS4

Machine Learning on Experimental Crystal Structures to parameterize Models of the Gibbs Energy in Computational Crystallography

Detlef W.M. Hofmann, Liudmila Kuleshova
Twenty-Fifth Congress and General Assembly of the International Union of Crystallography - 2021

BibTex references

@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          = {http://publications.crs4.it/pubdocs/2021/HK21},
}

Other publications in the database

» Detlef W.M. Hofmann
» Liudmila Kuleshova