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 ...

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 ...

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 ...

A recent study in Science Advances shows that AI-based weather models struggle with extreme events, such as heat waves, heavy ...

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 ...

Researchers precisely measured the proton’s size, resolving the proton radius puzzle and strengthening confidence in the Standard Model of particle physics.

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 ...

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 drop of dye added to a glass of water undergoes ordinary diffusion. However, when placed on the surface of a foam, the dye ...