most citedGradient Preserving Operator Inference: Data-Driven Reduced-Order Models for Equations with Gradient Structure

11 citations · 11 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2024

An End-to-End Deep Learning Method for Solving Nonlocal Allen-Cahn and Cahn-Hilliard Phase-Field Models

Yuwei Geng, Olena Burkovska, Lili Ju +2

We propose an efficient end-to-end deep learning method for solving nonlocal Allen-Cahn (AC) and Cahn-Hilliard (CH) phase-field models. One motivation for this effort emanates from…