Yusuke Yamazaki is a visiting researcher at Access e.V. for a short-term research stay of three month with financial support from the Japan Science and Technology Agency (JST).
He received his double master’s degree in Mechanical Engineering from RWTH Aachen University and Keio University in March 2024. Currently Yusuke Yamazaki is a Ph.D. candidate at Keio University in Kanagawa, Japan
His research focus lies in physics-informed deep learning. He is currently developing a physics-informed operator learning framework inspired by the finite element method for spatiotemporal dynamics, such as transient heat conduction and phase separation, in collaboration with researchers at Access. There is already a published paper on this topic titled „A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains“ (https://link.springer.com/article/10.1007/s00366-024-02033-8) in the course of this collaboration.
