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 ...

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 ...

The generation of electricity from heat, also known as thermoelectric energy conversion, has proved to be advantageous for ...

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 ...

Use AI tools like NotebookLM's Mind Map for efficient summary creation. Access branches and subtopics to analyze in-depth details. Save and share Mind Maps to study on the go.

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