Electrochromic-based visualised flexible biosensing platforms: from single device to multifunctional device integration [0.03%]
电致变色可视化柔性生物传感平台：从单一设备到多功能设备集成
Yuxiao Zhang,Rongrong Bao,Jianbei Qiu et al.
Yuxiao Zhang et al.
Conventional sensor systems suffer from an inherent limitation in delivering direct visual feedback during the physical-to-electrical signal transduction process, creating a cognitive disconnect between users and functional device interacti...
Twenty years after: scaling relations in oxygen electrocatalysis and beyond [0.03%]
析氧反应催化剂构效关系的二十年：过往与未来
Vladislav Ivanistsev,Ritums Cepitis,Jan Rossmeisl et al.
Vladislav Ivanistsev et al.
Since the 2000s, so-called scaling relations have been recognised as a limiting factor in electrocatalysis. Overcoming these constraints is essential to advance energy conversion technologies such as electrolysers, fuel cells, and metal-air...
Confinement effects on molecular diffusion in zeolites: mechanisms and perspectives [0.03%]
分子筛中分子扩散的限域效应：机制与展望
Lei Zhao,Jiamin Yuan,Youdong Xing et al.
Lei Zhao et al.
Zeolites exemplify a quintessential class of confined systems, where well-defined molecular-scale channels impose precise spatial constraints on guest species, profoundly altering their diffusion behavior and catalytic properties. This revi...
Metalloporphyrin- and metallocorrole-based catalysts for the oxygen reduction reaction: from molecules to materials [0.03%]
基于金属卟啉和金属科罗林的ORR催化剂：从分子到材料
Haitao Lei,Jinxiu Han,Qian Zhao et al.
Haitao Lei et al.
Efficient oxygen reduction reaction (ORR) catalysts are pivotal for advancing clean energy technologies, such as fuel cells and metal-air batteries. Metalloporphyrins and metallocorroles, inspired by biological systems, represent promising ...
Chemiresistive gas sensors for intelligent sensing: design strategies, emerging applications and future challenges [0.03%]
用于智能感知的化学电阻型气体传感器：设计策略、新兴应用和未来挑战
Chencheng Hu,Wei Zhang,Jiaqi Yang et al.
Chencheng Hu et al.
Intelligent chemiresistive gas sensing platforms are emerging as pivotal technologies for addressing global challenges such as climate change, urbanization, and public health crises. As core components of modern sensing systems, these platf...
Emerging applications of stimulated Raman scattering microscopy for medicinal chemistry and drug discovery [0.03%]
受激发拉曼散射显微技术在药物化学和新药发现中的应用展望
Henry J Braddick,William J Tipping,Emma K Grant et al.
Henry J Braddick et al.
This review article provides a summary of the progress that has been made in the field of stimulated Raman scattering (SRS) microscopy with direct relevance to drug discovery and medicinal chemistry. SRS microscopy is emerging as a powerful...
Moritz Schmidt,Andrej Skerencak-Frech,Petra J Panak et al.
Moritz Schmidt et al.
Curium is an artificial transuranic element with atomic number 96. It is typically found in its +III oxidation state, which is stabilized by a 5f7 electron configuration. CmIII exhibits intense luminescence from its first excited to its gro...
Correction: Behavior, mechanisms, and applications of low-concentration CO2 in energy media [0.03%]
关于低浓度二氧化碳在能源介质中的行为、机理及应用的更正：Behavior, mechanisms, and applications of low-concentration CO2 in energy media
Minghai Shen,Wei Guo,Lige Tong et al.
Minghai Shen et al.
Correction for 'Behavior, mechanisms, and applications of low-concentration CO2 in energy media' by Minghai Shen et al., Chem. Soc. Rev., 2025, 54, 2762-2831, https://doi.org/10.1039/D4CS00574K.
Published Erratum
Chemical Society reviews. 2025 Oct 23. DOI:10.1039/d5cs90091c 2025
Current developments and future perspectives on the formation of luminescent lanthanide supramolecular self-assembly architectures with a focus on nitrogen-based donor ligands [0.03%]
基于氮配体的发光镧系金属超分子自组装体系的研究进展与展望
Sandra Fernández-Fariña,Oxana Kotova,Shauna R Donohoe et al.
Sandra Fernández-Fariña et al.
Research on luminescent lanthanide (Ln) self-assembly structures has emerged into a discrete field with clear evolution from monometallic to polymetallic systems over the last few decades. The interest in these assemblies stems, on the one ...
Modeling protein-ligand interactions for drug discovery in the era of deep learning [0.03%]
深度学习时代的药物发现中的蛋白质-配体相互作用建模
Yuzhe Wang,Yibo Li,Jiaxiao Chen et al.
Yuzhe Wang et al.
Accurate modeling of protein-ligand interactions is a cornerstone of rational drug discovery, yet persistent challenges remain due to the intricate complexity of molecular interactions and the limitations of conventional physics-based compu...