Results 171 to 180 of about 764,877 (372)
Crystal and Molecular Structure of
S. Jarmelo +5 more
openalex +1 more source
A previously unreported coordination motif stabilising single Fe atoms by indigo chelation and pyridyl coordination on Au(111) has been revealed. By using planar tritopic pyridyl linkers (TPyB), extended 2D porous networks of indigo3(TPyB)2Fe6 form. These networks can be crystalline or vitreous and offer an environment where individual coordination ...
Hongxiang Xu +9 more
wiley +1 more source
Photoswitching Conduction in Framework Materials
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez +4 more
wiley +1 more source
Copper catalysts introduced with different non‐metallic elements regulating the coordination number of Cu are prepared by magnetron sputtering. Reducing the Cu coordination number enhances C─C coupling and boosts C2+ product selectivity, by lowering the energy barrier for the *CO → *CHO conversion step. The optimized Si‐doped Cu catalyst achieves a C2+
Xiaoye Du +8 more
wiley +1 more source
This work develops flexible zinc‐ion batteries (FZIBs) using a zincophilic/hydrophobic polymer (thermoplastic polycarbonate‐based polyurethane, TPCU) to protect Zn powder anodes and MXene/Silk (MXS) as flexible current collectors. The designed TPCU‐ZnP@MXS structure enables uniform Zn deposition, yielding dendrite‐free anodes with stable cycling ...
Zixuan Yang +8 more
wiley +1 more source
An ultra‐robust memristor based on SrTiO3‐CeO2 (S‐C) vertically aligned nanocomposite (VAN) achieving exceptional endurance of 1012 switching cycles via interface engineering. Artificial neural networks (ANNs) integrated with S‐C VAN memristors exhibit high training accuracy across multiple datasets.
Zedong Hu +12 more
wiley +1 more source
Simulation of Heme using DFT+U: a step toward accurate spin-state energetics [PDF]
Damián A. Scherlis +3 more
openalex +1 more source
Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error.
Felix A. Faber +11 more
semanticscholar +1 more source

