Through a sol-gel method, sub-nanometer WN clusters are embedded into a porous Fe-N-C aerogel to form a universal support that anchors Pt-based ORR catalysts with record stability. In MEA (0.05 mg_Pt/cm²), it delivers 1.85 W/cm² peak power density and retains 91.1 % after 90,000 cycles (only 4 mV loss at 0.80 A/cm²)—far exceeding the DOE 2030 target.

With the accelerated advancement of lunar and Mars exploration programs, long-term human habitation on extraterrestrial bodies faces the severe challenge of extreme diurnal temperature variations. Phase change materials (PCMs), owing to their ability to store or release substantial latent heat during solid–liquid phase transitions while maintaining a nearly constant temperature, have become an ideal solution for space thermal control systems. However, in the microgravity environment of space, the ground-dominant natural convection tends to disappear, and thermocapillary convection may become the prevailing heat transfer mechanism; in low-gravity environments such as those on the Moon and Mars, the coexistence and competition between these two convective regimes remain unclear. Existing studies have predominantly focused on either Earth's gravity or pure microgravity conditions, with a notable scarcity of research on the coupled effects of thermocapillary and natural convection at intermediate gravity levels. The melting dynamics of two typical organic PCMs, succinonitrile and n-octadecane, under low-gravity conditions have not yet been systematically elucidated. Therefore, clarifying the roles of thermocapillary convection under varying gravity levels and container geometries holds significant engineering guidance for the design of efficient space thermal control systems.

Polysaccharides are complex, highly heterogeneous biological macromolecules whose structure‑activity relationships have long puzzled researchers using traditional experimental approaches. A new Perspective article describes how artificial intelligence can shift polysaccharide science from experience‑driven trial‑and‑error toward data‑driven rational design. The authors highlight critical data‑quality bottlenecks, propose standardized data frameworks, and paint a forward‑looking vision for AI‑guided polysaccharide development and precision nutrition.

Global cancer burden continues to shift, driven by population aging, lifestyle changes, and disparities in screening and prevention.