Post-spacetime physics refers to the idea that our familiar 4D spacetime is not fundamental but emerges from deeper ...

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 ...

Research from Los Alamos National Laboratory shows that a new rock physics model will provide more comprehensive and actionable data about how carbon dioxide changes rock properties throughout ...

Vienna startup Ora Computing raised €3.5M and proved a 70-billion-parameter large language model can be compressed for under ...

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 ...

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 ...

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 ...

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 ...