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 ...

For years, Rutgers physicist David Shih solved Rubik's Cubes with his children, twisting the colorful squares until the scrambled puzzle returned to order. He didn't expect the toy to connect to his ...

Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for uncovering patterns in large amounts of data that would otherwise be ...