Time has always seemed like the one thing physics could count on. Matter changes, stars die, particles flicker in and out, ...

This study introduces a physics-regularized neural network (PRNN) as a computational approach to predict silicon carbide’s (SiC) swelling under irradiation, particularly at high temperatures. The PRNN ...

Avoiding over-pressurization in subsurface reservoirs is critical for applications like CO\(_2\) sequestration and wastewater injection. Managing the pressures by controlling injection/extraction are ...

For the past half century or so, a theory known by the understated name of the Standard Model has dominated the field of particle physics. This theory provides us with a detailed description of the 17 ...

Large language models have already transformed software engineering, for better or worse. Now, so-called large physics models are also starting to transform design engineering. These tools are ...

The Standard Model of particle physics is at a pivotal moment in its history: it is both at the height of its success and on the verge of being surpassed Centuries after the search began for the ...

The Arctic is melting faster than we thought it would. In fact, Arctic ice extent is at a record low. When that happens—when a natural system behaves differently than scientists expect—it's time to ...

A team of researchers at Queen's University has developed a powerful new kind of computing machine that uses light to take on complex problems such as protein folding (for drug discovery) and number ...

A new theory claims to have solved five of the biggest problems in physics all at once. The theory was developed by a group of French physicists at the University of Paris-Saclay, and it introduces a ...