Results 141 to 150 of about 3,320 (281)

Ordered Hydrogen Bond Network Regulates Synergistic H and OH Spillover to Promote Alkaline Hydrogen Evolution

Advanced Energy Materials, EarlyView.
Ru─Ni nanoclusters are anchored on WC via a rapid microwave quasi‐solid‐state method to build an ordered flexible interfacial hydrogen bond network. This structure boosts water dissociation and enables barrier‐free H/OH transport via the Grotthuss mechanism, forming dual H‐to‐Ru and OH‐to‐Ni spillover pathways to overcome the key challenges of alkaline
Xiangrui Zhuge, Chengfeng Wang, Xiangrui Zhuge, Wenli Yu, Qi Wu, Weiping Xiao, Lei Wang, Tianyi Ma, Zexing Wu   +8 more
wiley   +1 more source

Nonparametric Estimation in Random Coefficients Binary Choice Models [PDF]

This paper considers random coefficients binary choice models. The main goal is to estimate the density of the random coefficients nonparametrically. This is an ill-posed inverse problem characterized by an integral transform. A new density estimator for
Yuichi Kitamura, Eric Gautier
core  

Design Guidelines for Anode Modifications to Eliminate Soft Short Circuits in Anode‐Free Na Batteries Under High Current Density With Large‐Capacity Plating, Demonstrated via Initiated Chemical Vapor Deposition (iCVD)

Angewandte Chemie, EarlyView.
This work establishes a laterally homogeneous organic–inorganic hybrid interphase for soft‐short‐free anode‐free sodium metal batteries under extended cycling at high current density and high plating capacity. In contrast to conventional strategies that evolve into laterally heterogeneous interphases and induce localized Na filament growth, the pDFHA ...
Yeongjun Oh, Yuxuan Zhang, Jinwook Baek, Minyoung Kim, Jeongmin Park, Myung Gyu Lee, Chung Soo Kim, Sunghwan Lee   +7 more
wiley   +2 more sources

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

The Distance between Rival Nonstationary Fractional Processes [PDF]

Asymptotic inference on nonstationary fractional time series models, including cointegrated ones, is proceeding along two routes, determined by alternative definitions of nonstationary processes.
Peter M Robinson
core  

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Exact Local Whittle Estimation of Fractionally Cointegrated Systems [PDF]

Semiparametric estimation of a bivariate fractionally cointegrated system is considered. We propose a two-step procedure that accommodates both (asymptotically) stationary (d =1/2) stochastic trend and/or equilibrium error. A tapered version of the local
Shimotsu, Katsumi
core  

Thermally Stable Organic Synaptic Transistors Using a High‐Tg Polymer Electret

Advanced Intelligent Systems, EarlyView.
A high–glass‐transition‐temperature cyclic olefin copolymer (COC) electret enables thermally stable organic synaptic transistors for neuromorphic operation in harsh environments. UV–ozone treatment increases the trap density in COC, providing robust multilevel conductance and key synaptic functions (excitatory postsynaptic current/ inhibitory ...
Hoyoung Cho, Bombi Kim, Kyoungeun Lee, Moohyun Kim, Chaegwang Lim, Yeyun Bae, Jaeyeop Lee, Jiyoon Oh, Hyeok Kim, Jeongkyun Roh   +9 more
wiley   +1 more source

Interpretable Short‐Term Electric Load Forecasting

Advanced Intelligent Systems, EarlyView.
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola, Giorgia Ghione, Vincenzo Randazzo, Vincenzo Franzitta, Marco Badami, Eros Pasero, Giansalvo Cirrincione   +6 more
wiley   +1 more source

Stability analysis and numerical simulation of nonlocal extended epidemic models using positivity-preserving scheme. [PDF]

Sci Rep
Yousuf M, Alshakhoury N.
europepmc   +1 more source