Lead Halide Perovskite Photoelectrocatalysis
Lead halide perovskite semiconductors have emerged as highly promising materials for solar fuel and chemical synthesis. This perspective discusses advances made in the rational photoelectrode design to improve solar‐to‐chemical conversion, product scope, and scalability.
Virgil Andrei
wiley +1 more source
Ultrasound-guided percutaneous electrolysis versus dry needling in patients with chronic low back pain a double-blind randomized clinical trial. [PDF]
Saavedra-Hernández M +5 more
europepmc +1 more source
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao +8 more
wiley +1 more source
Ion transport for simultaneous nickel electrodeposition and sulfuric acid recovery in single-membrane, dual-chamber electrolyzers. [PDF]
Xian Q +5 more
europepmc +1 more source
Ultrathin lithium metal anodes (≤15 µm) offer a promising route to high‐energy‐density batteries due to their high capacity and low potential. This review presents design principles for ultrathin Li, evaluates fabrication strategies, and discusses challenges in liquid and solid‐state cells.
Cheng Wang +9 more
wiley +1 more source
Toward Efficient and Reliable Chemical Upgrading Using Solid Oxide Electrochemical Reactors, Mechanisms, Challenges, and Design Principles. [PDF]
Shi N, Xie Y, Tadé MO, Shao Z.
europepmc +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
Investigating Synthetic Dolomite Mixtures and Phase Adjustment Parameters in Electrochemical Cement Precursor Production. [PDF]
Ramuglia AR +11 more
europepmc +1 more source
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano +5 more
wiley +1 more source
Percutaneous Electrolysis for Patellar Tendinopathy: A Systematic Review and Meta-Analysis. [PDF]
Góngora-Rodríguez J +5 more
europepmc +1 more source

