Detailed study of a Greenland glacier’s flow rate reveals the impact of environmental conditions.

・The research group has developed SPACIER, a cutting-edge polymer material design tool that combines machine learning with molecular simulations.

・Utilizing SPACIER, the team successfully synthesized novel optical polymers that exceed the empirical limits of refractive index and Abbe number (a measure for the wavelength dependence of refractive index).

・SPACIER was designed to integrate seamlessly with RadonPy, a platform that fully automates computational experiments for polymer materials. By utilizing RandonPy’s automated molecular simulation capabilities, SPACIER facilitates the design of polymer materials tailored to a wide range of physical properties and material systems.

Tokyo, Japan – Researchers from Tokyo Metropolitan University have studied how nurses perceive words showing high and low risk ailments. They looked for directional bias, e.g. whether words denoting lower (higher) risk led to a quicker response when placed on the left (right) side or vice versa. They found faster response for significantly higher or lower risk, but different people had different directional biases. Their findings might inform better ways to present clinical information.

Muon spin rotation (µSR) spectroscopy is a powerful technique used to study the behavior of materials at the atomic level. In this study, researchers from the Institute of Science Tokyo employed µSR to examine phosphorus-containing 12-phosphatetraphene 1 molecule (muoniated radical). Their findings provide new insights into the radical's structure and behavior, advancing understanding of reactive species and radical behavior.