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 ...
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 ...
Vienna startup Ora Computing raised €3.5M and proved a 70-billion-parameter large language model can be compressed for under ...
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 ...
Despite its tremendous success in predicting the existence of new particles and forces, the standard model of particle physics, designed over 50 years ago to explain the smallest building blocks of ...
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 ...
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