日時:12月17日10時30分より 場所:理学部4号館1320教室 講演者:諏訪 秀麿 (東大, 藤堂研) 講演タイトル: Machine learning × Strongly correlated electrons 講演要旨: Machine learning (ML) is emerging as a promising tool to help model various types of many-body phenomena. A promising research area is the molecular dynamics (MD) of strongly correlated electron materials. While quantum MD methods based on density functional theory (DFT) have been s