Results 151 to 160 of about 211,510 (293)
Reveal Non‐Uniform Passivation on Lithium Metal Anode With Operando Spectroscopic Ellipsometry
In‐operando spectroscopic ellipsometry reveals how nucleation and crystallographic orientation govern the non‐uniform growth of native passivation films on lithium metal. Time‐resolved thickness mapping captures island formation and coalescence, while orientation‐dependent measurements show that the equilibrium film on Li(110) is approximately half as ...
Jianyu Li +3 more
wiley +1 more source
Pyridinium Cations Act as Charge Reservoirs in Expanded Halide Perovskite Analogs at High Pressure
Redox‐innocent pyridinium derivatives can act as charge reservoirs in expanded tin‐iodide perovskite analogs. Material compression reduces the energy gap between the pyridinium π* acceptor orbital and the valence‐band maximum, facilitating electron transfer from the framework to the molecules and thereby significantly increasing electronic conductivity
Christina R. Deschene +7 more
wiley +2 more sources
Revisiting estimates of diffuse contamination of agricultural soils by Pb. [PDF]
Matys Grygar T +7 more
europepmc +1 more source
Weakly solvating CME–TTE and localized high‐concentration G2–TTE electrolytes redirect lithium–sulfur chemistry toward quasi‐solid‐state conversion through distinct coordination environments. Molecular dynamics and multimodal electrochemical and spectroscopic measurements show that G2–TTE couples multidentate solvent coordination, anion participation ...
Boyi Pang +12 more
wiley +1 more source
Vacuum‐Induced Surface Reconstruction of Mn–Ce Oxides for Low‐Temperature Coupled Redox Catalysis
Near‐surface reconstruction enhances low‐temperature redox catalysis in Mn–Ce mixed oxides. Sequential vacuum annealing and reduced‐pressure O2 treatment enrich Mn near the surface while preserving the CeO2 fluorite framework, promoting interfacial electron redistribution, oxygen activation, and redox cycling.
Yong Yin +5 more
wiley +2 more sources
Prediction of the properties of sintered copper-graphite composites using response surface methodology. [PDF]
Ankit +8 more
europepmc +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
A Comprehensive Comparative Study of Active Learning Schemes for Nanophotonics Design
Active learning (AL) strategies are benchmarked for the binary design of planar multilayer nanophotonic structures. Factorization machines combined with quantum annealing (QA) become effective as dimensionality increases. Hybrid QA provides the strongest results for 100‐layer problems, highlighting the importance of optimization method selection in ...
Serang Jung +10 more
wiley +1 more source
Metallurgical Waste Landfills as Potential Anthropogenic Deposits. [PDF]
Nowińska K, Czajkowska A, Sikorski J.
europepmc +1 more source
A novel soft robotic propeller overcomes traditional efficiency‐flexibility tradeoffs via a hybrid pneumatic‐cable actuation strategy. This architecture enables active stiffness modulation with dual‐mode locomotion: tunable biomimetic swimming and earthworm‐inspired wriggling for confined spaces.
Jiazi Geng +6 more
wiley +1 more source

