Florida State University scientists have engineered a new crystal that forces atomic magnets to swirl into complex, repeating ...

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 ...

A research team from the Institute of Statistical Mathematics and Panasonic Holdings Corporation has developed a machine learning algorithm, ShotgunCSP, that enables fast and accurate prediction of ...

This image by Shaista Hassan Lone, a scientist at the University of Kashmir, shows two polymorphs—different crystal structures—of 4-(dimethylamino)benzaldehyde. When Lone initially set out to grow ...

(Nanowerk News) For more than 100 years, scientists have been using X-ray crystallography to determine the structure of crystalline materials such as metals, rocks, and ceramics. This technique works ...

Crystal structure prediction seeks to identify the stable or metastable crystal structures for any given chemical compound adopted under specific conditions. Traditionally, this process relies on ...