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 ...

Have you ever tried searching Google for answers to your homework, and more specifically, math and science problems? Back in the day, this was a hard feat, as Google would only lead users to websites ...

Researchers trained a machine learning tool to capture the physics of electrons moving on a lattice using far fewer equations than would typically be required, all without sacrificing accuracy. Using ...

In physics, the conundrum known as the 'few-body problem,' how three or more interacting particles behave, has bedeviled scientists for centuries. Equations that describe the physics of few-body ...