When scientists study how materials behave under extreme conditions, they typically examine what happens under compression. But what occurs when you pull matter apart in all directions simultaneously?

The new method can determine crystal structures underlying experimental data thus far difficult to analyze. A joint research team led by Yuuki Kubo and Shiji Tsuneyuki of the University of Tokyo has ...

Chemists have developed a generative AI model that can make it much easier to determine the structures of powdered crystal materials. The prediction model could help researchers characterize materials ...

A team of chemists at the University of Iowa has developed a light-activated crystal ...

Complexity may seem subjective, but a quantitative measure of the complexity of nanomaterials was recently developed by a ...

Triply-twinned body-centred cubic lattices shift strut-scale deformation from bending to stretching, producing major gains in ...

An artificial intelligence created by Google DeepMind may help revolutionise materials science, providing new ways to make better batteries, solar panels, computer chips and many more vital ...

From predicting properties before a material even exists to designing entirely new structures, AI is becoming the ultimate lab partner for materials scientists. Machine learning models are ...

A-Lab on Thursday, April 6, 2023 at Lawrence Berkeley National Laboratory in Berkeley, Calif. Researchers at Google DeepMind have used artificial intelligence to predict the structures of more than 2 ...