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 ...

Superconductivity—the ability of a material to conduct electricity without any energy loss to heat—enables highly efficient, ...

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 ...

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?

Removing excess iron reveals FeTe as a superconductor, and its properties can be engineered using layered structures and moiré effects.

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 ...

Scientists have redefined the state-of-the-art in modeling and predicting the free energy of crystals. Their work shows that crystal form stability under real-world temperature and humidity conditions ...

MIT physicists have synthesized a new family of bulk crystals whose electrons behave as though they move in an effectively ...

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 ...

Researchers have revisited a long-known material and uncovered a way to dramatically enhance its performance by altering its structure at the nanoscale.