Held on Tuesday, October 24, 2023.
This is an archive of the first pre-event held prior to KEIO TECHNO-MALL 2023 (The 24th KEIO TECHNO-MALL).
Overview: If a "model" can be created to output material properties by inputting information such as molecular species and synthesis conditions, it becomes possible to predict the properties of materials that have not yet been tested—in other words, to perform high-throughput screening within a computer. Materials informatics (MI) is the research field dedicated to creating these "models" for materials using machine learning and applying them to the discovery and design of new materials. This tutorial provided an overview for researchers in chemistry and materials science, covering the fundamentals of machine learning and its application to materials chemistry through lectures and hands-on exercises.