In some solid materials under specific conditions, mutual Coulomb interactions shape electrons into many-body correlated ...

Matlantis CSP has already produced early results across multiple systems—oxides, alloys, and phosphides—discovering more than 10 previously unknown stable crystals. In the Ga–Au–Ca system, it ...

A new computational framework maps 3D atomic positions in amorphous materials, achieving full accuracy for silica using ...

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 ...

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?

Researchers from the labs of Professors Vinayak Dravid and Omar Farha developed a high-resolution approach to map ...

For many decades, the method to obtain atomic-level descriptions of chemical compounds and materials—be it a drug, a catalyst ...

Although occupation of dodecahedral cages by TBAB had not been previously reported, it was found that utilizing dodecahedral cages allows for higher packing density of TBAB. The results were shared 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 ...