In physics, noise is usually associated with small, fast perturbations to the system under study — something we want to ...

Scientists struggle with the physics of fluids. A recent Google breakthrough could support better predictions and practical ...

Modeling the Dynamics of Life: New Frontiers in Biological Physics and Mechanics is a special Collection of the npj Biological Physics and Mechanics journal, dedicated to the development and ...

The Navier–Stokes partial differential equation was developed in the early 19th century by Claude-Louis Navier and George ...

The quantum tangent kernel method is a mathematical approach used to understand how fast and how well quantum neural networks can learn. A quantum neural network is a machine learning model that runs ...

BUFFALO, N.Y. — Imagine zooming into matter at the quantum scale, where tiny particles can interact in more than a trillion configurations at once. If that sounds complicated, it is: Physicists often ...

Physicists have used a machine-learning method to identify surprising new twists on the non-reciprocal forces governing a many-body system. The work is one of the relatively few instances of using AI ...

The American Physical Society (APS) – the world’s largest organization of physicists – has awarded the 2026 Aneesur Rahman ...

Ribonucleic acid (RNA) is one of life's most versatile molecules, with roles going far beyond being a messenger of genetic ...