%0 Journal Article %1 jung2023highaccuracy %A Jung, Jong Hyun %A Srinivasan, Prashanth %A Forslund, Axel %A Grabowski, Blazej Tadeusz %D 2023 %I Springer %J npj computational materials %K %P 3 %R 10.1038/s41524-022-00956-8 %T High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials %V 9

@article{jung2023highaccuracy, added-at = {2023-07-21T08:42:39.000+0200}, author = {Jung, Jong Hyun and Srinivasan, Prashanth and Forslund, Axel and Grabowski, Blazej Tadeusz}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2ac58ec30d7ef138c2721b976d3396d10/unibiblio}, doi = {10.1038/s41524-022-00956-8}, interhash = {cb8f6c71f4734d3fe915dd0dccf2086f}, intrahash = {ac58ec30d7ef138c2721b976d3396d10}, issn = {2057-3960}, journal = {npj computational materials}, keywords = {}, language = {eng}, pages = 3, publisher = {Springer}, timestamp = {2023-07-21T08:42:39.000+0200}, title = {High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials}, volume = 9, year = 2023 }