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 ...

Researchers are merging artificial intelligence with high-performance computing to supercharge materials science, storage workflows, and engineering simulations. From building the largest crystal ...

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 ...

Inorganic crystal materials, for example, may show enormous promise once you first synthesize them, but all this potential could lead nowhere if the crystals don't remain stable; it's no good ...

Using artificial intelligence to create new things is all the rage right now. Whether you want text, computer code, or images, there are uncountable generative AI models that can oblige. Google ...

Crystals might look simple, but their growth tells a far more complex and fascinating story. From grains of salt to diamonds, crystals form when particles lock into repeating patterns. For many years, ...

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 ...

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 ...

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 ...