George Em Karniadakis, Division of Applied Mathematics at Brown University (YouTube)
Maziar Raissi, Department of Applied Mathematics, University of Colorado Boulder
Paris Perdikaris, Mechanical Engineering and Applied Mechanics, University of Pennsylvania
Lu Lu, Department of Statistics and Data Science, Yale University (DeepXDE: A Deep Learning Library for Solving Differential Equations)
Ameya D. Jagtap, Applied Mathematics at Brown University
Yeongjong Shin, Mathematics at NC State University
J. Nathan Kutz, Applied Mathematics at the University of Washington (YouTube)
Steven L. Brunton, Department of Mechanical Engineering at the University of Washington (YouTube)
Anima Anandkumar, Division of Engineering and Applied Science at Caltech
Ricardo Vinuesa, Engineering Mechanics at KTH Royal Institute of Technology (YouTube)
박노성 교수, 한국과학기술원 전산학부
NVIDIA Modulus: Accelerating Scientific & Engineering Simulation Workflows with AI
Flow Physics Quantification in an Aneurysm using NVIDIA Modulus
Scientific Machine Learning GPU Bootcamp NVIDIA/OpenACC/ENCCS
Other Useful Links
Physics Informed Machine Learning (youtube channel from workshop at UW on Data-driven Science and Engineering)
CRUNCH Group: Home of Math + Machine Learning + X (youtube channel from Brown University)