[G] Computational Materials Science and Data Science

11:15 AM - 11:30 AM JST(2:15 AM - 2:30 AM UTC)

[289] Advancing Metal R&D with Limited Experimental Data through Materials Informatics

○Navin Rajapriya Rajapriya¹, Hiroyuki Saito¹, Pia Schulz¹, Kotaro Kawajiri¹ (1. Aizoth Inc.)

Keywords:

Materials informatics,Process optimization,AI,Simulation surrogate model,Microstructure

This research presents materials informatics for metal materials research and development utilizing limited data. It introduces aluminum process optimization, thermal property prediction, surrogate modeling for thermomechanical simulations, and hardness prediction using metal microstructure images.