An international group of researchers have investigated the role of memory in quantum systems and dynamics. Their findings ...

The squeaking of sneakers on a gym floor is usually attributed to friction, specifically a stick-slip variety that involves ...

Basketball shoes on a gym floor, bicycle brakes in need of a tune-up, or the squeal of tires are everyday examples of ...

Geostationary orbit simulation in GlowScript VPython: a practical tutorial that demonstrates orbital mechanics and ...

Duke Quantum Center researchers use a neutral-atom platform to simulate unusual localization effects that could underpin ...

Explore the dynamics of circular motion with **“Understanding Tension In Two Masses Moving In A Vertical Circle.”** This physics tutorial breaks down the concept of tension forces acting on two masses ...

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 ...

Abstract: This tutorial paper focuses on safe physics-informed machine learning in the context of dynamics and control, providing a comprehensive overview of how to integrate physical models and ...

Theoretical and Computational Biophysics Group, Beckman Institute, and Department of Physics, University of Illinois at Urbana−Champaign, Urbana, Illinois 61801, United States Theoretical and ...

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 ...

The Lipkin-Meshkov-Glick model is a theoretical framework used to describe systems of many interacting spins in an external magnetic field. It has been widely applied to study quantum phase ...

Why do some crowds move in an orderly fashion while others devolve into a chaotic jumble? New research led by an MIT mathematician may finally crack the tricky crowd problem. When you purchase through ...