Researchers from UT Austin Propose a New Machine Learning Approach to Generating Synthetic Functional Training Data that does not Require Solving a PDE (partial Differential Equations) Numerically
The fusion of deep learning with the resolution of partial differential equations (PDEs) marks a significant leap forward in computational ...
