Magnetic soft robots, providing excellent flexibility and precise control, are transforming fields from surgery to environmental exploration. Focusing on the relationship between structural configurations and locomotion modes of magnetic soft robots, a new review article in FlexTech systematically summarizes the material composition, fabrication methods, locomotion modes, and applications of existing magnetic soft robots. Furthermore, this article also analyzes and discusses the current challenges and future development directions of structured magnetic soft robots.

A research team led by Professor Xiaonan Wang from Tsinghua University has published a comprehensive review on AI-enhanced multi-scale smart systems for decarbonizing the chemical industry. The study, featured in Technology Review for Carbon Neutrality, explores innovations from micro-level materials discovery to macro-level industrial park optimization, highlighting how intelligent approaches enhance efficiency, sustainability, and carbon neutrality. It also examines cross-scale modeling for complex chemical processes and identifies key challenges such as data management and industrial integration. The review concludes with future research directions, advocating interdisciplinary strategies to drive the industry toward a greener and more efficient future.

A study from East China Normal University explores how Large Language Models (LLMs) can revolutionize education by automating teaching tasks. It highlights two key applications: generating customized materials and streamlining assessment. While LLMs reduce educators’ workload, human oversight remains crucial. The research suggests a collaborative model where teachers act as orchestrators and LLMs serve as assistants, ensuring AI integration enhances personalized education while maintaining instructional quality and adaptability.

A cutting-edge breakthrough in zero-sodium-excess solid-state batteries may reshape the energy storage landscape. This innovative study introduces a novel interphase design to address the persistent challenges of low energy density and poor interfacial stability in sodium-ion batteries, offering a solution poised to revolutionize next-generation energy storage systems.

A novel study has unveiled a transformative advancement in perovskite solar cells through bilayer interface engineering. This innovative method integrates 2D/3D perovskites with a dipole layer, achieving a remarkable leap in power conversion efficiency and overcoming critical challenges of scalability and stability in large-area solar modules.

A cutting-edge study has made significant advancements in battery lifetime prediction by utilizing transfer learning, a sophisticated approach that transfers knowledge across different data domains. This innovation enhances the accuracy of battery life predictions, a critical factor for ensuring product quality and accelerating progress in energy storage technologies.

Social-emotional ability serves as a critical human foundation for sustainable societal development. While researchers have focused on enhancing primary and secondary school students' social-emotional skills, the development of university students' social-emotional ability has been overlooked. This study examines the current state of college students' social-emotional abilities. It identifies that these skills are significantly influenced by various factors, including education level, gender, university type, geographic origin, family background, and teacher–student relationships, which are found to significantly affect college students' social-emotional ability.

Detecting electrolyte leakage is an effective early warning approach for abnormal faults in lithium-ion batteries (LIBs). However, LIBs produce volatile organic compounds at ppm levels that are difficult to “sense”. Scientist in China proposed a micro-nano fiber sensor coated with in-situ self-assembled ZIF-8 membrane. The sensor can “sense” the LIBs leaks with high-sensitivity, achieving early warning 35 hours before battery load stop. The technique will open new avenues for future electric vehicle battery safety monitoring.