Neural-Network-Based Solver for Partial Differential Equations

A universal, machine-learning based solver for partial differential equations is
presented in general. The approach approximates the target functions by
forward-feeding neural networks and adjusts the network parameters to produce
the approximation to the desirable solutions.

Dr. Jeff Chen

March 3, 2022
11:00-12:00p.m via Zoom