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

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 ...

Caltech scientists have found a fast and efficient way to add up large numbers of Feynman diagrams, the simple drawings physicists use to represent ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data ...

Researchers have cracked a fundamental optical challenge: how to control both angle and wavelength of light independently—a ...

Researchers at the Tokyo University of Science have solved one of the (many) sodium ion battery challenges, and discovered ...

Training datasets for Matlantis’ core AI technology are now developed using r2SCAN, doubling accuracy in atomistic ...

Intrinsic dispersion in periodic systems sets a fundamental bound for independent selectivity of resonant angles and ...

Researchers find that drying hydrogels briefly turns them into strong, reversible adhesives, opening new uses in robotics and ...

Experiments show that carbon nanotubes transfer heat inefficiently at small scales, raising concerns for cooling and ...