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

“Looking at things at a very, very fast rate allows us to observe weird and wonderful phenomena,” Salamat says, calling the ...

Inside the cores of ice giant planets, the pressure and temperature are so extreme that the water residing there transitions ...

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 ...

The new method can determine crystal structures underlying experimental data thus far difficult to analyze. A joint research team led by Yuuki Kubo and Shiji Tsuneyuki of the University of Tokyo has ...

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 ...

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 ...

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

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 ...