works on
Burgers equation 1coarse simulation 1entropy variables 1structure-preserving neural networks 1subgrid-scale modeling 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

math.NA2026

Subgrid-Scale Parameterization in Burgers' Equation Using Structure-Preserving Neural Networks and Entropy Variables

Aijaz Nazir, Ilya Timofeyev

The paper introduces a machine‑learning method that uses structure‑preserving neural networks and entropy variables to create subgrid‑scale parameterizations for coarse simulations…