Jun-ichi Fukuda (Senior Researcher), Soft Matter Modeling Group (Leader: Makoto Yoneya), Nanosystem Research Institute (Director: Kiyoshi Yase) of the National Institute of Advanced Industrial Science ...

A new artificial intelligence model can predict how atoms arrange themselves in crystal structures. A new artificial intelligence model that can predict how atoms arrange themselves in crystal ...

UB chemist Jason Benedict and his team spent years developing photoswitchable crystals. Every crystal’s shape is a mirror of the internal arrangement of their molecules, but the molecules in ...

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 ...

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 ...

A new artificial intelligence model that can predict how atoms arrange themselves in crystal structures could lead to faster discovery of new materials for everything from solar panels to computer ...

Scientists have taken the first step toward developing antiferromagnetic technology. They detected a liquid-crystal phase that may change the game for spintronic devices.

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 ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals and design of functional materials. In pharmaceuticals, crystal structures ...

A research team led by Yuuki Kubo and Shiji Tsuneyuki from the University of Tokyo has developed an innovative computational method to efficiently determine the crystal structures of multiphase ...