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 ...

Defect-filled lead-halide perovskites rival silicon solar cells because domain walls inside the material separate and guide charges. Researchers visualized these charge-transport networks using a ...

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 ability to predict crystal structures is a key part of the design of new materials. New research shows that a mathematical algorithm can guarantee to predict the structure of any material just ...

After decades of debates over the existence and properties of one of the world’s ...

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 ...

After decades of intense research, surprises in the realm of semiconductors—materials used in microchips to control ...

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 ...

Google DeepMind researchers have discovered 2.2 million crystal structures that open potential progress in fields from renewable energy to advanced computation, and show the power of artificial ...

The best candidate for next-generation magnetic devices—technology that can power, store, sense or transport information—may be, counterintuitively, antiferromagnets. Today, the most widely used ...