Conceptual and practical bases for the high accuracy of machine learning interatomic potentials: application to elemental titanium
Machine learning interatomic potentials (MLIPs) based on a large data set obtained by
density functional theory calculation have been developed recently. This study gives both …
density functional theory calculation have been developed recently. This study gives both …
Conceptual and practical bases for the high accuracy of machine learning interatomic potentials: Application to elemental titanium
A Takahashi, A Seko, I Tanaka - Physical Review Materials, 2017 - ui.adsabs.harvard.edu
Abstract Machine learning interatomic potentials (MLIPs) based on a large data set obtained
by density functional theory calculation have been developed recently. This study gives both …
by density functional theory calculation have been developed recently. This study gives both …
Conceptual and practical bases for the high accuracy of machine learning interatomic potential
A Takahashi, A Seko, I Tanaka - arXiv preprint arXiv:1708.02741, 2017 - arxiv.org
Machine learning interatomic potentials (MLIPs) based on a large dataset obtained by
density functional theory (DFT) calculation have been developed recently. This study gives …
density functional theory (DFT) calculation have been developed recently. This study gives …
[引用][C] Conceptual and practical bases for the high accuracy of machine learning interatomic potentials: Application to elemental titanium
A Takahashi, A Seko, I Tanaka - Physical Review Materials, 2017 - cir.nii.ac.jp
Conceptual and practical bases for the high accuracy of machine learning interatomic
potentials: Application to elemental titanium | CiNii Research CiNii 国立情報学研究所 学術情報 …
potentials: Application to elemental titanium | CiNii Research CiNii 国立情報学研究所 学術情報 …