Search Results for author:
Found 1 papers, 0 papers with code
GNN-Assisted Phase Space Integration with Application to Atomistics
As a remedy, we demonstrate that Graph Neural Networks, trained on Monte-Carlo data, can serve as a replacement for commonly used numerical quadrature rules, overcoming their deficiencies and significantly improving the accuracy.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
