A clever method from Caltech researchers now makes it possible to unravel complex electron-lattice interactions, potentially transforming how we understand and design quantum and electronic materials.

In a paper published in Nature Physics, the Caltech team uses its new method to precisely compute the strength of ...

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

Researchers at the University of Pennsylvania and the Allen Institute for Artificial Intelligence have developed a groundbreaking tool that allows open-source AI systems to match or surpass the visual ...

Finding new materials with useful properties is a primary goal for materials scientists, and it's central to improving ...

In the race to develop AI that understands complex images like financial forecasts, medical diagrams and nutrition labels—essential for AI to operate independently in everyday settings—closed-source ...

Their tool, CoSyn (short for Code-Guided Synthesis), taps open-source AI models’ coding skills to render text-rich images and generate relevant questions and answers, giving other AI systems the data ...

Tired of endless homework? Research reveals smarter study techniques can boost memory and make learning enjoyable. Cognitive ...

Pharma’s next big leap won’t come from the lab. It’ll come from outside the lab, where the rules of narrative, attention, and ...