The ultimate goal of materials scientists is to design and create materials with precise structures and tailored properties. Predictive technologies have advanced significantly with the rise of AI, ...

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 ...

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?

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 ...

Scientists at PSI refined an X-ray diffraction technique that maps bone structure from nanometres to millimetres in about an ...

Researchers improved organic solar cell fabrication by controlling molecular assembly, enhancing efficiency and stability, bringing the technology closer to commercial viability. OSCs are a compelling ...

Scientists at the Paul Scherrer Institute PSI have refined an X-ray diffraction technique for detecting biological structures ...

Duplicates of crystal structures are flooding databases, implicating repositories hosting organic, inorganic, and computer-generated crystals. The issue raises questions about curation practices at ...