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%0 Journal Article
%1 mik21a
%A Miksch, April M
%A Morawietz, Tobias
%A Kästner, Johannes
%A Urban, Alexander
%A Artrith, Nongnuch
%D 2021
%J Mach. Learn.: Sci. Technol.
%K EXC2075 chemie from:danielborn kaestner kästner pn6 stuttgart theochem theoretische
%P 031001
%R 10.1088/2632-2153/abfd96
%T Strategies for the construction of machine-learning potentials for accurate and efficient atomic-scale simulations
%U http://dx.doi.org/10.1088/2632-2153/abfd96
%V 2
@article{mik21a,
added-at = {2021-12-08T17:10:08.000+0100},
author = {Miksch, April M and Morawietz, Tobias and K\"astner, Johannes and Urban, Alexander and Artrith, Nongnuch},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2302a9057b215746f218940e4360fb1d4/katharinafuchs},
doi = {10.1088/2632-2153/abfd96},
interhash = {64210bef682d04a24694ecbd00b81596},
intrahash = {302a9057b215746f218940e4360fb1d4},
journal = {Mach. Learn.: Sci. Technol.},
keywords = {EXC2075 chemie from:danielborn kaestner kästner pn6 stuttgart theochem theoretische},
pages = 031001,
timestamp = {2021-12-08T16:10:08.000+0100},
title = {Strategies for the construction of machine-learning potentials for accurate and efficient atomic-scale simulations},
url = {http://dx.doi.org/10.1088/2632-2153/abfd96},
volume = 2,
year = 2021
}
