A research team of Professor Yan Chen from the Tianjin University presents a reconfigurable hierarchical metamaterial, establishes a linear relationship between its stiffness and the number of active hinges, and embeds mechanical logic circuits into the metamaterial. This enables a wide range of tunable stiffness and real-time stiffness visualization without the need for external sensors, paving the way for intelligent systems with self-sensing and adaptive capabilities.

Existing sea surface height prediction models require excessive computing power and training times and suffer from progressive error accumulation, limiting their accuracy to 14–15 days in the future. A team of researchers recently developed a lightweight deep learning model called GTU-Net with unique loss function and physical constraints that improve the reliability of medium- and long-range sea surface height predictions to improve long-term ocean monitoring, climate studies and operational ocean forecasting.

A research team from the Frontiers Science Center for Flexible Electronics at Northwestern Polytechnical University, jointly with Xi'an Shiyou University and Xidian University, developed a novel crystallization regulation strategy. The team introduced all-inorganic 2D CsPb₂Br₅ nano-flakes as a "heteronucleation agent" for the first time, successfully achieving precise control over the crystallization process of wide-bandgap perovskites.

The research team innovatively repurposed discarded locust hind legs into bio-hybrid muscle actuators. Through optimized electrical stimulation protocols and synergistic integration with artificial robotic systems, they achieved three core breakthroughs.

Professor Li Jing-Feng's team from Tsinghua University has reported an innovative study on optimizing the thermoelectric performance of SnSe via liquid phase sintering.