Results 121 to 130 of about 22,726,921 (239)

Highly Linear Perovskite Synapses for Neuromorphic Computing

Advanced Science, EarlyView.
Voltage spikes applied to an Au/ACI‐phase perovskite/ITO memristor emulate the ionic signaling of a biological synapse, generating a tunable postsynaptic current. The vertically aligned perovskite film confines iodide‐vacancy migration, enabling highly linear, and symmetric conductance updates with 100 states and 5.5 aJ per event. Such synapses sustain
Zhongwen Sun, Boyu Wan, Zifan Zhang, Zhikai Wang, Xuan Zhao, Haonan Si, Qingliang Liao, Yue Zhang   +7 more
wiley   +1 more source

Advancing Energy Materials by In Situ Atomic Scale Methods

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss, Michael Seibt, Martin Wenderoth, Oliver Bünermann, Ole Bunjes, Till Domröse, Christian Eckel, Francesca Falorsi, Christoph Flathmann, Monica Kolek Martinez de Azagra, Matthias Krüger, Jonas Lindner, Tobias Meyer, Claus Ropers, Ulrich Ross, Kai Rossnagel, Sreeju Sreekantan Nair Lalithambika, Simone Techert, Georg A. Traeger, Cynthia Volkert, R. Thomas Weitz, Alec M. Wodtke   +21 more
wiley   +1 more source

Electric Double Layer Engineering Induces O‐Down Interfacial Water Reorientation for Efficient and Long‐Term Seawater Electrolysis

Advanced Energy Materials, EarlyView.
The additive EDTMPS inhibits hydroxides deposition by chelating with Ca2+/Mg2+. It also disrupts the hydrogen bond network of interfacial water and expands the thickness of electric double layer, promoting more free water to flip into adsorbable O‐down configuration.
Tongzhou Li, Yutong Zhao, Hongjie Zhang, Yangkai Han, Zhiwei Ren, Feng Xie, Zongping Shao, Zhigang Shao   +7 more
wiley   +1 more source

ASTR 518 Inner Solar System: The Terrestrial Planets

, 2007
Course syllabus for ASTR 518 Inner Solar System: The Terrestrial Planets Course description: Discusses the planets Mercury, Venus, Earth, and Mars. Emphasizes the basic properties of the planets, how they were formed, their atmospheres, and the natural ...
Fox, Richard W.
core   +1 more source

Free Charge Generation in Organic Photoconversion Devices–the Impact of Electrostatic Potentials

Advanced Energy Materials, EarlyView.
Free charge generation in organic photovoltaic and photodetector devices typically requires an external driving force to separate bound excitons formed upon photoexcitation. This review details how electrostatic potentials, arising from molecular charge distributions in organic semiconductors, can impact interfacial energetic landscapes and promote ...
Emily J. Yang, Song Yi Park, Vick Y. Qiu, Ji‐Seon Kim   +3 more
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Molecular Preorganization Unlocks Reversible Solid‐State Photoconversion in Dianthrylnaphthalene‐Based Molecular Solar Thermal Systems

Angewandte Chemie, EarlyView.
Three dianthrylnaphthalenes were synthesized and investigated for molecular solar thermal (MOST) energy storage. Naphthyl‐based bridging units preorganize the two anthracene moieties face‐to‐face, leading to improved photoisomerization quantum yield (QY) and unlocked bidirectional photoswitching in the solid state compared to previously reported ortho ...
Nicolò Baggi, Lidiya M. Muhammad, Helen Hölzel, Liang Fei, Rebecca J. Salthouse, Mariusz Kubus, Sarah Plutzar, Magnus B. Johansen, Kurt V. Mikkelsen, Kasper S. Pedersen, Kasper Moth‐Poulsen   +10 more
wiley   +2 more sources

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

Constructing p‐d Orbital Hybridization via In Situ Generation of Bi19Br3S27/NiSx for Highly Selective Photothermal CO2 Reduction to C2H4

Angewandte Chemie, EarlyView.
An in situ crystalline/amorphous Bi19Br3S27/NiSx interface unlocks orbital hybridization‐driven CO2 conversion. Newly formed p‐d coupling reshapes the reaction pathway, promotes C─C coupling, and steers photo‐thermal CO2 reduction toward highly selective C2H4 production.
Guangmei Gan, Zhixiong Yang, Mengying Wang, Yang Shi, Yuan Li, Gaoke Zhang, Jie Wu   +6 more
wiley   +2 more sources

Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs

Advanced Intelligent Discovery, EarlyView.
Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal, Weiyi Gong, Huta Banjade, Qimin Yan   +3 more
wiley   +1 more source