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 best when the ...

“Crystal Math” uses equations—and minimal resources—to rapidly predict the 3D structures of molecular crystals, which could speed up R&D for drugs and electronic devices Researchers at New York ...

Crystal polymorphism is critically important in the fields of pharmaceuticals and materials science. For instance, a metastable polymorph of an active pharmaceutical ingredient may benefit from ...

Organic light-emitting diodes (OLED) have emerged as a new generation of display technology. Organic crystalline materials possess superior thermal stability, chemical stability, and high carrier ...

AI method reconstructs missing hydrogen atom positions in crystal databases, enabling faster, more accurate materials ...

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 ...

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 ...

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