Abstract: Physics-informed neural networks (PINNs) offer a flexible framework for solving differential equations using physical constraints and data. This study focuses on second-order ...
In the moments following the Sept. 10, 2025, shooting of Turning Point USA CEO and co-founder Charlie Kirk in Utah, online users shared an alleged quote from the conservative political pundit about ...
Abstract: Neural operators are a class of neural networks to learn mappings between infinite-dimensional function spaces, and recent studies have shown that using neural operators to solve partial ...
py-pde is a Python package for solving partial differential equations (PDEs). The package provides classes for grids on which scalar and tensor fields can be defined. The associated differential ...
Loker Hydrocarbon Institute and Department of Chemistry, University of Southern California, Los Angeles, California 90089-1661, and Department of Chemistry, University of Washington, Seattle, ...