Key proteins in the ankles are similar to those used by salamanders to regenerate severed limbs and might hold the key to a new therapeutic approach for joint disease.

In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology (AIST), Tohoku University, and Kyoto Institute of Technology, the National Institute for Materials Science (NIMS) developed and published "elemental reactivity maps" for discovering new phases. The research team proposed maps that use machine learning to identify over 3,000 element combinations that could potentially form new phases from among a total of 85,320 combinations of up to three elements selected from the 80 elements easily handled in the laboratory. This research result was published in Chemistry of Materials on February 21, 2025.

A research team led by Prof. ZHANG Jian and Prof. ZHANG Yexin from the Ningbo Institute of Materials Technology and Engineering of the Chinese Academy of Sciences, together with Prof. ZHANG Zhaoliang from the University of Jinan, has developed a novel electrified catalysis strategy for DRM, which they termed electrified DRM (e-DRM).

Why do some communities unite in times of crisis, while others fall apart? The study of Kaunas University of Technology researchers revealed a surprising link – cultural heritage is not just a historical asset, but also a powerful tool that helps people build a sense of belonging and act collectively when challenges arise.

A new dispersed particle gel (DPG) suspension has been developed for high-temperature carbon capture, utilization, and storage (CCUS) applications. This innovative material, described in a recent study published in Engineering, shows enhanced thermal stability and plugging efficiency compared to traditional CO₂-responsive gels. The modified DPG suspension demonstrates significant and irreversible swelling at high temperatures, making it a promising solution for improving profile control in challenging reservoir conditions.

This article presents a novel bi-directional converter based interconnection planning approach for hybrid AC/DC microgrids with high renewable penetration. The study proposes a tri-level planning framework incorporating dynamic converter efficiency and a data-correlated uncertainty set, demonstrating improved cost-efficiency and robustness.