4 citations · 4 across the 1 of their papers we have counts for
2 papers
cs.LG2024★ 4 cited
Gradient Flow Based Phase-Field Modeling Using Separable Neural Networks
Revanth Mattey, Susanta Ghosh
The gradient flow of the Ginzburg-Landau free energy functional leads to the Allen Cahn equation that is widely used for modeling phase separation. Machine learning methods f…
math.NA2021
A Physics Informed Neural Network for Time-Dependent Nonlinear and Higher Order Partial Differential Equations
Revanth Mattey, Susanta Ghosh
A physics informed neural network (PINN) incorporates the physics of a system by satisfying its boundary value problem through a neural network's loss function. The PINN approach h…