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

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 ...

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, ...

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 ...

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 ...

Researchers have developed a technique that allows them to carve complex three dimensional nanodevices directly from single ...

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 ...

Many natural compounds that act on the human body provide active ingredients for medicines or clues for developing them, and ...

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 shown that twisting a crystal at the nanoscale can turn it into a tiny, reversible diode, hinting at a new era of shape-engineered electronics.