The rational design of platinum-based electrocatalysts with optimized metal-support electronic interactions remains a fundamental challenge in achieving atom-efficient hydrogen evolution reaction (HER).

Scientists have developed an innovative "sulfur-for-oxygen exchange" method to synthesize a porous Fe₂(MoO₄)₃/CoMoO₄ heterojunction electrocatalyst. This material demonstrated exceptional oxygen evolution reaction (OER) performance, requiring only 244 mV of overpotential to achieve a current density of 10 mA·cm⁻² – significantly outperforming commercial benchmarks. Furthermore, it exhibited outstanding stability, operating continuously for over 100 hours. This breakthrough paved the way for scalable, cost-effective green hydrogen production.

CS/Ti₃C₂T_x/Co@CNTs composite could obtain the minimum reflection loss (RL_min) of -55.01 dB at the thickness of 3.4 mm and the effective absorption bandwidth (EAB) could reach 9.07 GHz. It should be emphasized that the average density of CS/Ti₃C₂T_x/Co@CNTs is only 0.03 g/cm³. The electrostatic self-assembled CS/Ti₃C₂T_x/Co@CNTs composites behaved the excellent conductive loss, polar loss and the impedance matching.

A research paper by scientists at Chinese Academy of Sciences presented a magnetically actuated soft electrode (MSE) with precise navigation, adaptive attachment, and high-fidelity signal acquisition.

A novel fiber optic sensing platform captures real-time bubble dynamics during hydrogen evolution, revealing how bubble growth and detachment impact catalyst performance. This breakthrough bridges interfacial gas behavior with electrochemical efficiency, offering new strategies for green hydrogen optimization.

Researchers have introduced a statistical method that allows accurate forest monitoring using satellite images with missing data. The hybrid estimator works directly with flawed data, bypassing the need for complex and uncertain data repair processes. This approach achieved over 90% sampling precision, meeting national forest inventory standards, and performed as well as techniques requiring complete satellite imagery. This provides a cost-effective way to leverage decades of archived satellite data for reliable forest and carbon stock assessment, supporting vital climate and conservation efforts.