Researchers from the Department of Precision Instruments at Tsinghua University have developed a novel model-based deep learning framework that significantly enhances the temporal resolution of computational microscopy. By training a neural network that learns the inherent spatiotemporal correlations in dynamic processes, the team achieved high-fidelity, time-resolved imaging of live biological samples, pushing the boundaries of label-free microscopy. The progress is published in the journal PhotoniX.

Researchers have created a spray-on polyurea nanocomposite coating reinforced with functionalized graphene. The coating delivers high strength and stretchability, strong adhesion across substrates, and durable performance after heat, salt-spray, and UV aging. It also resists corrosion and provides fast, reliable strain sensing for real-time damage detection—offering a scalable protective coating for infrastructure and automotive structures.

A research team led by Chalmers University of Technology, Sweden, have presented a new way to produce hydrogen gas without the scarce and expensive metal platinum. Using sunlight, water and tiny particles of electrically conductive plastic, the researchers show how the hydrogen can be produced efficiently, sustainably and at low cost.

Under formaldehyde-acetic acid condensationreaction conditions, the V⁴⁺ phase (VO)₂P₂O₇ remains stable, while V⁵⁺ phases transform due to lattice oxygen loss. They ultimately form a reduced V⁴⁺ phase (R1-VOHPO₄), which can reversibly convert back into an intermediate α_II-VOPO₄ phase.Different phases play distinct roles in the reaction, collectively determining catalytic performance.

Conductive elastomers combining micromechanical sensitivity, lightweight adaptability, and environmental sustainability are critically needed for advanced flexible electronics requiring precise responsiveness and long-term wearability; however, the integration of these properties remains a significant challenge. Here, we present a biomass-derived conductive elastomer featuring a rationally engineered dynamic crosslinked network integrated with a tunable microporous architecture. This structural design imparts pronounced micromechanical sensitivity, an ultralow density (~ 0.25 g cm⁻³), and superior mechanical compliance for adaptive deformation. Moreover, the unique micro-spring effect derived from the porous architecture ensures exceptional stretchability (> 500% elongation at break) and superior resilience, delivering immediate and stable electrical response under both subtle (< 1%) and large (> 200%) mechanical stimuli. Intrinsic dynamic interactions endow the elastomer with efficient room temperature self-healing and complete recyclability without compromising performance. First-principles simulations clarify the mechanisms behind micropore formation and the resulting functionality. Beyond its facile and mild fabrication process, this work establishes a scalable route toward high-performance, sustainable conductive elastomers tailored for next-generation soft electronics.