Physics-informed neural networks (PINNs) represent a burgeoning paradigm in computational science, whereby deep learning frameworks are augmented with explicit physical laws to solve both forward and ...

A problem that has long been considered impossible to solve and that now, thanks to a breakthrough, can be calculated quickly ...

This is the first part of a two course graduate sequence in analytical methods to solve ordinary and partial differential equations of mathematical physics. Review of Advanced ODE’s including power ...

Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational ...