Researchers from the labs of Professors Vinayak Dravid and Omar Farha developed a high-resolution approach to map ...

Materials discovery leader launches Crystal Structure Prediction solution, with Honda as early adopter.

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

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 ...

Crystal structures are the ordered, three‐dimensional arrangements of atoms or molecules that define a solid’s properties. Research in this area encompasses not only the inherent geometrical and ...

Mid- and far-infrared birefringent crystals are key functional materials for polarization control, laser technologies, and ...

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?

“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 ...

Rare-earth magnets are essential for electric motors in vehicles, drones, and trains, forming the backbone of modern, ...

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 ...

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