Researchers from the Illinois Grainger College of Engineering are the first to demonstrate a simple and tunable method for ...

We rarely think about how liquids flow—why honey is thick, water is thin or how molten plastic moves through machines. But ...

As part of the Leaving Cert Diary series, with thanks to our friends at the Irish Second-Level Students' Union (ISSU), we ...

A dam Riess was 27 years old when he began the work that earned him the Nobel Prize in Physics, and just 41 when he received ...

According to mathematical legend, Peter Sarnak and Noga Alon made a bet about optimal graphs in the late 1980s. They’ve now both been proved wrong. ... In December, by tapping into a crucial ...

But as mobile hardware advances, Machine Learning (ML) techniques, particularly Graph Neural Networks (GNNs), are emerging as a powerful, efficient alternative to emulate physics on mobile. GNNs are ...

In a recent paper published as an Editor’s Suggestion in Physical Review Letters, CU Boulder Physics Associate Professors Andrew Lucas and Rahul Nandkishore, along with graduate student Chao Yin, ...

Complexity physics finds crucial tipping points in chess games Physicist used interaction graphs to show how pieces attack and defend to analyze 20,000 top matches.

ISC Physics Scoring Tips 2024: Solve numerical problems as much as you can as those are the key scoring areas. (Use Nootan Physics only.) Since Physics is all about concepts, take your time to ...

Recently, deep equilibrium networks (DEQs), i.e., networks that find the fixed point of some iterative procedure, have shown outstanding performance when compared with their equivalent deep models. In ...

Integrating physics and AI: Novel graph neural network models enhance precipitation forecasting Peer-Reviewed Publication. Institute of Atmospheric Physics, Chinese Academy of Sciences ...