SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3761-7
Ruthenium-based materials, including metallic Ru and RuO2, are promising electrocatalysts for electrochemical water splitting (EWS) due to their high activity for both hydrogen evolution reaction (HER) and oxygen evolution reaction (OER). However, their practical application is hindered by the relatively strong adsorption of reaction intermediates on Ru surfaces and the oxidative dissolution of RuO2 under operating conditions. This review provides a comprehensive overview of recent progress and challenges in Ru-based electrocatalysts for EWS. We first summarize the fundamentals of EWS, including reaction mechanisms and activity descriptors. Then, we detail typical synthesis methods such as hydrothermal/solvothermal syntheses, organic ligand-assisted syntheses, pyrolysis, acid etching, cation exchange, and molten salt-assisted syntheses. Subsequently, we focus on enhancement strategies, including alloying, doping, structure design, interface engineering, single-atom catalyst design, high-entropy alloy design, phase engineering, and defect engineering, with typical examples illustrating structure-property correlations. Finally, we address remaining challenges and future prospects for the development of efficient and durable Ru-based electrocatalysts for sustainable hydrogen production.
New Carbon Materials•2026•DOI: 10.1016/S1872-5805(26)61069-4
Four-directional dual-matrix C/C composites were fabricated from PAN-based carbon fibers using a combined approach of soft-hard hybrid weaving preform molding, chemical vapor infiltration (CVI) of pyrolytic carbon (PyC), and high-pressure impregnation and carbonization of pitch-derived carbon. The ablation resistance was evaluated in a dual-pulse solid rocket motor, and the ablation behavior was investigated. The carbon rods, formed by twisting and carbonizing fiber bundles, exhibited a hexagonal cross-section, surrounded by a dense PyC 'wall' structure. The linear ablation rates after pulse I and pulse II were 0.068 mm/s and 0.113 mm/s, respectively. A cellular-like PyC layer and nanowire structures were deposited on the surface of the throat convergent section during the post-combustion cooling phase, while cracks and delamination occurred on and within the divergent section. The ablation process involved ultra-high temperatures, high-speed gas scouring, oxygen-containing thermochemical ablation, and thermal shock. This work elucidates the ablation behaviors under dual-pulse conditions and provides technical guidance for designing C/C composites for extreme environments.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(26)60665-2
Levulinic acid (LA) is a promising platform product with wide industrial applications. Efficient conversion of cellulose into LA has become a research hotspot, yet traditional experimental optimization is time-consuming and inefficient. This study integrates multidimensional data—reaction conditions, solvent properties, and physicochemical characteristics of metal salts—to construct a systematic dataset. Six machine learning models (decision tree, gradient boosting regression, K-nearest neighbors, multilayer perceptron, random forest, and support vector machine) were developed to predict LA yield. The gradient boosting regression (GBR) model achieved the best performance, with a test-set determination coefficient (R²) of 0.94 and the lowest root-mean-square error (RMSE). SHapley Additive exPlanations (SHAP) and partial dependence analysis identified water fraction, catalyst dosage, and reaction temperature as the key factors influencing LA formation. By integrating the GBR model with particle swarm optimization (PSO), RuCl₃ was identified as an efficient catalyst under high-temperature and short-reaction-time conditions. This study demonstrates the potential of machine learning in cellulose conversion research, providing a data-driven strategy and theoretical guidance for efficient and green LA production.