Basic Materials Informatics
In this lecture, we will outline how to combine material science and information science, to lead them to researches containing various expert knowledge, and to open up a new field. Researches currently carried out at university will be explained examples.
Topics change every lesson. Remote class from Okayama and Suzukakedai lecture rooms.
AY2023 Schedule
| Date | Instructor | Theme | |
| Class 1 | October 2, 2023 | Yasuo Nobuaki | Introduction to Materials Informatics: Organic Molecules and Machine Learning |
| Class 2 | October 16, 2023 | Matsushita Yuichiro | Materials simulation: Significance of materials simulation and its perspective |
| Class 3 | October 23, 2023 | Yasuo Nobuaki | Practical bioinformatics: genome, protein, and drug design |
| Class 4 | November 6, 2023 | Juhasz Gergely Miklos | Practical quantum chemistry calculation: examples of reaction path search and physical property prediction |
| Class 5 | November 13, 2023 | Shimosaka Masamichi | Introduction to smartphone sensing and its big data analytics |
| Class 6 | November 20, 2023 | Tateyama Yoshitaka | Molecular dynamics sampling: Statistical mechanics of materials at finite temperature |
| Class 7 | November 27, 2023 | Hitosugi Taro | Materials science using AI and robots: from parameter optimization to discovery of scientific principles |
【Lecture】
Zoom
| Course title | Basic Materials Informatics |
| Course component | Lecture |
| Credits | 1credit（required） |
| Course number | TCM.A401 |
| Language used | English |
| Offered quarter | 3Q |
