Completing density functional theory by machine learning hidden messages from molecules
News 2020/05/15
A research group of Mr. Ryo Nagai (Sugino Laboratory, ISSP), Assistant Professor Ryosuke Akashi (Tsuneyuki Laboratory) and Professor Osumu Sugino (ISSP) has applied a machine learning method used in AI technology and developed a method to complement an incomplete term in density functional theory (DFT) that calculates the electronic state of a substance.
This work was published online in the British scientific journal "npj Computational Materials" on May 5, 2020.
See below for details.
- Tsuneyuki Lab. : https://white.phys.s.u-tokyo.ac.jp/index2_en.php
- Aritcle URL : https://www.nature.com/articles/s41524-020-0310-0