Ionophore-Based Ion-Selective Optodes Using Hydrocarbons as Ultralow-Polarity Media. [PDF]
Patel A, Patel KJ, Clement S, Wang X.
europepmc +1 more source
Emerging Materials and Future Strategies for Solid Oxide Electrochemical Cells
Solid oxide electrochemical cells operate under strongly coupled electrochemical and thermodynamic conditions, where performance is constrained by interactions among crystal structure, defect chemistry, and interfacial evolution. This review, based on a structure‐defect‐property‐durability framework, reveals the roles of lattice symmetry and defect ...
Qiuchun Lu +4 more
wiley +1 more source
Thermal cracking for upgrading medium-low maturity shale oil: evolution of organic matter occurrence. [PDF]
Jinmei B +4 more
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A wide process window is essential for the commercialization of perovskite photovoltaics. Here, we demonstrate an amorphous π‐conjugated passivator having an asymmetric mono‐iodine substituent on a carbazole moiety imparts a high dipole moment, desirable molecular energy levels, and high thickness tolerance, thereby enabling a wide process window in ...
Hyun Seo Kim +17 more
wiley +1 more source
Sensitivity to cuticular hydrocarbons across the odorant receptor family in the Indian jumping ant, <i>Harpegnathos saltator</i>. [PDF]
Tórhalsdóttir R +12 more
europepmc +1 more source
Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu +5 more
wiley +1 more source
Anticancer and antioxidant activities of Pelargonium graveolens L., Mentha longifolia L., and Chrysanthemum frutescens L. under salt stress. [PDF]
Samy A +3 more
europepmc +1 more source
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Impact of Air Pollution Control Devices on VOC Profiles and Emissions from Municipal Waste Incineration Plant. [PDF]
Liu J +5 more
europepmc +1 more source

