Atsushi SEKIMOTO

About

Atsushi Sekimoto is an Associate Professor at Okayama University in Japan. His research primarily focuses on transport phenomena, Marangoni convection, and crystal growth processes, particularly in relation to silicon carbide (SiC). Recent contributions include work on numerical simulations of thermal-solutal Marangoni convection and the application of explainable machine learning for analyzing transport phenomena. He is also involved in optimizing crystal growth techniques using reinforcement learning and Bayesian optimization.