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.
AY2025 Schedule
| Date | Instructor | Theme | |
| Class 1 | October 6, 2025 | Ryo Maezono | Overview of the course/Neural network applied to Materials Science |
| Class 2 | October 16, 2025 | Kuwahata Kazuaki | Introduction to Materials simulation: Ab initio calculations and molecular mechanics methods |
| Class 3 | October 20, 2025 | Yasuo Nobuaki | Practical bioinformatics: genome, protein, and drug design |
| Class 4 | October 27, 2025 | Juhasz Gergely Miklos | Practical quantum chemistry calculation: examples of reaction path search and physical property prediction |
| Class 5 | November 10, 2025 | Shimosaka Masamichi | Introduction to smartphone sensing and its big data analytics |
| Class 6 | November 17, 2025 | Tateyama Yoshitaka | Molecular dynamics : From statistical mechanics to applications to materials science |
| Class 7 | December 1, 2025 | Hitosugi Taro | Materials science using AI and robots: from parameter optimization to discovery of scientific principles |
【Lecture】
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| Course title | Basic Materials Informatics |
| Course component | Lecture |
| Credits | 1credit（required） |
| Course number | 【TAC-MI】TCM.A401 【Graduate major】XMC.A401 |
| Language used | English |
| Offered quarter | 3Q |
Note:Students who were unable to take the “Basic Materials Informatics” course offered by the School of Materials and Chemical Technology during the master’s program must take “Basics of Progressive Materials Informatics, MIS.A601” in the doctoral program.
