A new wave of physics-informed AI is accelerating the way scientists design and understand advanced materials. By embedding physical laws into machine learning models, researchers can simulate, test, ...

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Urea is an extremely important chemical, especially for fertilizers. But, making urea is energy intensive and relies heavily ...

Tiny grains of dust floating inside a glowing plasma should, according to decades of theory, push and pull on each other in ...

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...

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

Dr. Xianxin Guo, CEO and Co-Founder of Lumai, is a physicist and deep-tech entrepreneur specializing in optical computing and AI hardware, with a PhD in quantum physics and nonlinear optics from the ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

Two Montana State University students have been awarded competitive Graduate Research Fellowships from the National Science ...

Yicong Fu, a first-year Ph.D. student, studies how natural systems like fish gills solve problems that continue to challenge ...

Physicists have used a machine learning approach to reveal unexpected details about how particles interact in complex systems. Their work focuses on ...

Jian Jiang's team at the Institute of Chemistry, Chinese Academy of Sciences, recently published an article that focuses on the core bottlenecks of ...