Discovering charge density functionals and structure-property relationships with PROPhet: A general framework for coupling machine learning and first-principles methods
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%0 Journal Article
%1 kolb2017discovering
%A Kolb, Brian
%A Lentz, Levi C
%A Kolpak, Alexie M
%D 2017
%I Nature Publishing Group
%J Scientific reports
%K EXC310 PN3
%N 1
%P 1--9
%T Discovering charge density functionals and structure-property relationships with PROPhet: A general framework for coupling machine learning and first-principles methods
%V 7
@article{kolb2017discovering,
added-at = {2021-12-08T17:10:40.000+0100},
author = {Kolb, Brian and Lentz, Levi C and Kolpak, Alexie M},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2befda5998b549a25b1233229d92e7b50/simtech},
interhash = {8b36b14350352969bad0ffc4ad9fdd56},
intrahash = {befda5998b549a25b1233229d92e7b50},
journal = {Scientific reports},
keywords = {EXC310 PN3},
number = 1,
pages = {1--9},
publisher = {Nature Publishing Group},
timestamp = {2023-07-31T05:41:25.000+0200},
title = {Discovering charge density functionals and structure-property relationships with PROPhet: A general framework for coupling machine learning and first-principles methods},
volume = 7,
year = 2017
}
