Held on Tuesday, November 7, 2023.
This is an archive of the third pre-event held prior to KEIO TECHNO-MALL 2023 (The 24th KEIO TECHNO-MALL).
Overview: If a "model" can be created that outputs the properties of a material by inputting information about it (such as molecular species and synthesis conditions),
it becomes possible to predict the properties of un-experimented materials—in other words, to perform high-throughput screening within a computer.
The research field that uses machine learning to create such "models" for materials and applies them to the discovery and design of materials is called Materials Informatics (MI).
This tutorial provides an overview for researchers in chemistry and materials science, covering everything from the basics of machine learning to its application in materials chemistry through lectures and exercises.