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

This Collection supports and amplifies research related to SDG 9 - Industry, Innovation and Infrastructure. Two-dimensional (2D) materials and their heterostructures have been widely explored for ...

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 ...

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

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 ...

AIP Publishing has selected Stephen C. Jardin, PhD, Principal Research Physicist and Professor at the Plasma Physics Faculty of Princeton University, as the recipient of 2025 Ronald C. Davidson Award ...