Results 81 to 90 of about 40,816 (213)

FeCoNiCuPt High‐Entropy Alloy Boosts Photocatalytic Hydrogen Production on Protonated Graphitic Carbon Nitride

open access: yesAdvanced Science, EarlyView.
In this study, FeCoNiCuPt high‐entropy alloy particles (HEA) are loaded onto protonated g‐C3N4 nanosheets (HCN NSs) to construct HEA/HCN composites through an electrostatic self‐assembly method. Protonation treatment enriches the surface of g‐C3N4 nanosheets with abundant active sites and enhances their interfacial charge separation capability ...
Yunzhu Zang   +3 more
wiley   +1 more source

Research on Resistive Switching Mechanism of SnO2/SnS2 Based Heterojunction Memory Devices

open access: yesAdvanced Electronic Materials, EarlyView.
This work fabricates SnO2/SnS2 RRAM using (NH4)4Sn2S6, achieving 224 pJ set energy at 0.4 V with >1000‐cycle stability and 4 × 104 s retention. XPS/SEM/AFM‐validated interfacial engineering enables uniform switching, advancing low‐power neuromorphic memory development.
WenBin Liu   +4 more
wiley   +1 more source

Interplay of Backbone Conformation, Morphology and Thermoelectric Properties of Benzodifuranone‐Isatin Acceptor Polymers

open access: yesAdvanced Electronic Materials, EarlyView.
Modification of polymer backbone via halogenation and comonomer selection leads to conjugated backbones of different stereoelectronic properties, thin film morphologies, and electrical characteristics. The interplay of conformational isomerism, coplanarity, backbone curvature, backbone orientation, and ordering in thin films, electrical conductivity ...
Diego R. Hinojosa   +11 more
wiley   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

open access: yesAdvanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan   +5 more
wiley   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

open access: yesAdvanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian   +12 more
wiley   +1 more source

Eye-Tracking and Emotion-Based Evaluation of Wardrobe Front Colors and Textures in Bedroom Interiors

open access: yesMultimodal Technologies and Interaction
Wardrobe fronts form a major visual element in bedroom interiors, yet material selection for their colors and textures often relies on intuition rather than evidence.
Yushu Chen, Wangyu Xu, Xinyu Ma
doaj   +1 more source

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source

Revealing Protein–Protein Interactions Using a Graph Theory‐Augmented Deep Learning Approach

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study presents a fast, cost‐efficient approach for classifying protein–protein interactions by integrating graph‐theory parametrization with deep learning (DL). Multiscale features extracted from graph‐encoded polarized‐light microscopy (PLM) images enable accurate prediction of binding strengths.
Bahar Dadfar   +5 more
wiley   +1 more source

Desymmetrization of Malonic Monoesters and Malonic Acids via Enantioselective Catalytic C(sp3)─H Oxidation

open access: yesAngewandte Chemie, EarlyView.
Manganese‐catalyzed enantioselective C(sp3)─H lactonization with hydrogen peroxide enables the direct desymmetrization of malonic monoesters and malonic acids, providing highly enantioenriched γ‐ and δ‐lactones (up to >99% ee) ABSTRACT Malonate derivatives are readily available starting materials widely employed in the synthesis of bioactive compounds.
Nikos Siakavaras   +3 more
wiley   +2 more sources

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