Perspectives on Artificial Intelligence and Machine Learning in Materials Science
| 整理番号 | 20210014 |
|---|---|
| 種別 | 一般研究-研究集会（Ⅰ） |
| 研究計画題目 | Perspectives on Artificial Intelligence and Machine Learning in Materials Science |
| 研究代表者 | Daniel PACKWOOD（Institute for Integrated Cell-Material Sciences, Kyoto University・Junior Associate Professor） |
| 研究実施期間 |
2022年2月4日(金) ～
2022年2月6日(日) |
| 研究分野のキーワード | Materials science, Artificial Intelligence, machine learning, non?linear dynamics, persistent homology, evolutionary algorithms, global optimization algorithms, accelerated discovery of metal alloys, soft materials, complex oxides, density functional theory, Bayesian methods, dynamical systems [PDEs and ODEs], stochastic methods [Monte Carlo] |
| 本研究で得られた成果の概要 |
The purpose of this conference was to gather an international group of researchers in industry and academia bringing their own distinct perspectives on problems at the intersection of Materials Physics and Information Technology, two areas where interdisciplinary collaborations both at the academic and industrial level are crucial and yet to date in early phase. The conference was held on-line over 3 days and saw participation of approximately 50 participants including from North America and China. The conference was organized as an IMI joint usage Research Seminar 1 and co-sponsored by the MOZES program. The conference consisted of 12 invited lectures and a students’ session with 11 students’ talks. We expect significant new collaborations will emerge as a result of this conference, in particular, across IMI/I2CNER and Xi'an Jiaotong and UIUC/Montreal, among others. |
| 組織委員(研究集会) 参加者(短期共同利用) |
Aleksandar Staykov（I2CNER・Associate Professor） Petros SOFRONIS（I2CNER・Professor, Director） Yasuhide FUKUMOTO（IMI, Kyushu University・Professor） Shigenori FUJIKAWA（I2CNER・Associate Professor） Pierluigi CESANA（IMI, Kyushu University・Associate Professor） Daniel PACKWOOD（Institute for Integrated Cell-Material Sciences, Kyoto University・Junior Associate Professor） |