A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

In the everyday world, governed by classical physics, the concept of equilibrium reigns. If you put a drop of ink into water, ...

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

Explore Python Physics Lesson 10 and learn how to visualize a mass on a spring in 3D using Python simulations. This lesson walks you through modeling oscillatory motion, understanding spring dynamics, ...

In this Python Physics lesson, we explore modeling current as a function of time in RC circuits. Learn how to simulate the charging and discharging behavior of resistors and capacitors using Python, ...

Simple physics may explain how the Easter Island statues could "walk" miles with only a handful of people, but the debate over their transport is far from over. When you purchase through links on our ...

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 ...

Gear-obsessed editors choose every product we review. We may earn commission if you buy from a link. Why Trust Us? Here’s what you’ll learn when you read this story: Many philosophers and scientists ...

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 ...

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 past few decades have seen tremendous progress in the study of quantum materials with strongly correlated electrons, both in theory and in experiment. At the same time, many important challenges ...

The field of non-equilibrium quantum dynamics has rapidly progressed in recent years due to a confluence of interdisciplinary advances. These include developments in the theory of random quantum ...