Randles began her career as a physicist and she explains why she was drawn to the multidisciplinary research that she does today. Randles talks about her enduring love of computer coding and also ...

Quantum chaos describes chaotic classical dynamical systems in terms of quantum theory, but simulations of these systems are limited by computational resources. However, one team seems to have found a ...

Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster ...

The US DOE has launched the Teton supercomputer at INL, quadrupling computing power to accelerate high-fidelity nuclear ...

Scientists have long believed that foam behaves like glass, with bubbles locked into place. New simulations reveal that bubbles never truly settle and instead keep moving through many possible ...

MUNICH--(BUSINESS WIRE)--SimScale GmbH announced today the worlds’ first fully integrated and cloud-native A.I. based physics predictions coming to its simulation software. SimScale has partnered with ...

Nvidia it is working with Google Quantum AI to accelerate the design of its next-generation quantum computing devices using simulations powered by Nvidia. Google Quantum AI is using the hybrid quantum ...

An old puzzle in particle physics has been solved: How can quantum field theories be best formulated on a lattice to ...

Liquid metal jetting (LMJ) is a new technology showing promise for improved speed, cost, and safety of metal AM, thus opening the doors to broader industrial adoption. LMJ is still a very young ...

Struggling to debug your physics simulations in Python? This video uncovers common mistakes that cause errors in physics code and shows how to identify and fix them efficiently. Perfect for students, ...