The currents of the oceans, the roiling surface of the sun, and the clouds of smoke billowing off a forest fire—all are ...

The team used an AI method known as equation discovery to develop a model to simulate the interactions between small eddies—circular, vortex-like currents—and large-scale ones. These interactions are ...

Are you speechless watching US figure skater Ilia Malinin on the ice? Science explains how it’s possible the Quad God can do ...

While it's no replacement for either computer, the new device is a powerful alternative for addressing some very practical ...

For nearly a century, some of the simplest questions in quantum theory have stubbornly resisted clean answers, turning basic ...

Abstract: Unit commitment (UC) problems are typically formulated as mixed-integer programs (MIP) and solved by the branch-and-bound (B&B) scheme. The recent advances in graph neural networks (GNN) ...

This puzzle is known as the problem of time, and it remains one of the most persistent obstacles to a unified theory of ...

Watching, modeling and even playing winter sports help students internalize physics concepts, including acceleration, ...

Modern physics explains much of how the universe works, from atoms to galaxies. Yet some problems remain stubbornly unresolved, resisting even the most advanced theories. These puzzles expose gaps in ...

Abstract: Physics-informed neural networks (PINNs) have been successfully applied in electromagnetism (EM) for the solution of direct problems. However, since PINNs typically do not take system ...