Search Results for author:
Found 1 papers, 1 papers with code
Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks
The accurate numerical solution of partial differential equations is a central task in numerical analysis allowing to model a wide range of natural phenomena by employing specialized solvers depending on the scenario of application.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
