Results 141 to 150 of about 19,080 (295)
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
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
Advances in Magnesium‐Based Thermoelectrics: A Critical Review
Magnesium‐based thermoelectric materials have emerged as promising candidates for low‐to‐mid‐temperature energy conversion due to their abundance, low cost, and competitive performance. This review summarizes recent advances in Mg3X2, MgAgSb, and Mg2X systems, covering transport mechanisms, fabrication strategies, stability challenges, and device ...
Li‐Min Zhang +5 more
wiley +1 more source
Предложена глобальная электрическая RLC цепь планеты Земля, моделирующая взаимосвязанные электромагнитные процессы на сверхнизких частотах в коре Земли, атмосфере и ионосфере.
Подольцев, А.Д.
core
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
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
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong +11 more
wiley +1 more source
Piezoelectric-Based Vibration Energy-Harvesting for Bladed Disks: Modeling and Comparative Performance Analysis of Interface Circuits. [PDF]
Zhang F, Wang L, Ding T.
europepmc +1 more source
Approach to monitoring and diagnostics for medium voltage circuit breakers
Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; in conjunction with the Leaders for Global Operations Program at MIT, 2013.Cataloged ...
Corona, Erick (Erick Gustavo)
core
We developed a new series of monomeric (MY) and dimeric acceptors incorporating unfused (DY1) and fused (DY2) linkers, which establish a controlled self‐aggregation trend of MY > DY2 > DY1. The DY2‐based system yields a bulk‐heterojunction nanoparticle morphology that appears to balance phase separation and interfacial accessibility, consistent with ...
Jin‐Woo Lee +11 more
wiley +1 more source

