Mehrdad Momeni Zadeh

Learning Data-Efficient and Generalizable Neural Operators via Fundamental Physics Knowledge

Recent advances in scientific machine learning (SciML) have enabled neural operators (NOs) to serve as powerful surrogates for modeling the dynamic evolution of physical systems governed by partial differential equations (PDEs). While existing approaches focus primarily on learning simulations from…