Scientists are blending physics-informed AI with supercomputing to model plasma turbulence more accurately and efficiently. These breakthroughs could improve predictions for fusion reactors, ...

School hosted the KAIROS 2026 Mega Pool Drive on the theme Where Action Meets Opportunity. Over 500 candidates were connected ...

Researchers from Skoltech and the Shanghai Institute of Optics and Fine Mechanics have developed an approach that helps ...

Monte Carlo simulations transform uncertainty into measurable insights by running thousands of randomized scenarios. With Python’s robust libraries—NumPy, SciPy, pandas—you can model complex systems, ...

Researchers at Yale, Google, and the University of California-Santa Barbara have created a device that simulates the quantum ...

AI excels at correlations but lacks physical intuition, creating gaps in real-world reasoning and reliability.

Not only were CFD sims cheaper than wind tunnel time, but they were also much faster at iterating. Early design work is now ...

Now, artificial intelligence (AI) tools are providing powerful new ways to address long-standing problems in physics. “The ...

Physics is the search for and application of rules that can help us understand and predict the world around us. Central to physics are ideas such as energy, mass, particles and waves. Physics attempts ...

May 1, 2026 A decades-old cosmic mystery has finally been cracked: the strange X-rays coming from the bright star gamma-Cas are caused by a hidden stellar companion feeding off it. Using cutting-edge ...

Modeling the evolution of quantum spin systems is challenging due to the limitations of traditional neural networks in extrapolating beyond training intervals. Here, the authors employ Fourier Neural ...

May 1, 2026 • Ask any coffee aficionado, and they’ll tell you: A good cup is about more than the beans. The flavor is affected by lots of things – the roast and fermentation of the beans, the ...