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 ...

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, ...

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 used artificial intelligence to predict dozens of previously unknown carbon crystal structures, including at ...

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 ...

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 ...

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 ...

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 ...