Neural equilibria for lon
Neural equilibria for long-term prediction of nonlinear conservation laws
Neural equilibria for long-term prediction of nonlinear conservation laws
arXiv:2501.06933v1 Announce Type: new
Abstract: We introduce Neural Discrete Equilibrium (NeurDE), a machine learning (ML) approach for long-term forecasting of flow phenomena that relies on a “lifting” of physical conservation laws into the framework of kinetic theory. The kinetic formulation prov…
