Results 111 to 120 of about 5,545,221 (295)

A High‐Entropy Strategy for Chemoresistive Ethanol Sensors With Remarkably Rapid and Selective Response

open access: yesAdvanced Science, EarlyView.
The configurational‐entropy strategy enables rapid and sensitive ethanol detection using a multicomponent oxide. The high‐entropy (InSnFeZnW)Ox provides enriched oxygen vacancies and diverse adsorption sites that strengthen surface reactivity. The sensor achieves a 5135% ethanol response with fast kinetics and stable long‐term operation.
Gi Baek Nam   +19 more
wiley   +1 more source

Structurally Complex Precipitates Enhance Strength‐Ductility Synergy in a Duplex Medium Entropy Alloy

open access: yesAdvanced Science, EarlyView.
Strong‐yet‐ductile precipitation‐hardening alloys require novel microstructural complexity of precipitates in particularly at cryogenic condition, to constantly impart strain hardening of hard‐and‐brittle precipitates. The present work creates innovative structurally complex precipitates assembled with dispersed nanocores and a chemical‐heterogeneity ...
Shaohua Gao   +9 more
wiley   +1 more source

TIME-FREQUENCY-BASED METHODS: APPLICATIONS TO SIGNAL ANALYSIS

open access: yesTelemática, 2017
In communication systems it is of major importance the study of signals not only in time but also in the frequency domain. This is needed to characterize central frequency, bandwidth, channel effects or noise. This is useful to set properly transmitters
Jorge Torres Gómez
doaj  

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

open access: yesAdvanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram   +4 more
wiley   +1 more source

Construction of Sabatier Volcanoes for CO2 Hydrogenation to C1‐2 Oxygenates Using Data‐Efficient Machine Learning

open access: yesAdvanced Science, EarlyView.
A new data‐efficient framework combining DFT calculations, a neural network model, and automated graph analysis of catalytic reaction networks is proposed and applied to CO2 hydrogenation on transition metal nanoparticles. The analysis shows how efficient C2 oxygenate production requires a balance between CHx formation, C–C coupling, protonation, and ...
Mikhail V. Polynski, Sergey M. Kozlov
wiley   +1 more source

Multicomponent dark matter with collider implications

open access: yesJournal of High Energy Physics
The present work aims to study an extension of the Standard Model (SM) that addresses the prominent SM shortcomings, i.e., can explain the neutrino mass, the dark matter (DM) content, and the matter-antimatter asymmetry of the Universe.
Laura Covi   +3 more
doaj   +1 more source

Entropy Decoding the Fundamental Law of Phase Competition in Glass Formation

open access: yesAdvanced Science, EarlyView.
We validate the integration of intermetallic and eutectic phases as initial phases for composition design. The phase competition mechanism in glass formation is quantitatively clarified based on the melting entropy of competing phases. Glass‐forming ability is modulated by tuning phase competition via the melting entropy of initial phases.
Benke Huo   +7 more
wiley   +1 more source

Molecular Engineering Mediated Interfacial Assembly as an Artificial Extracellular Matrix Remolds Bacteria With Enhanced Abiotic Resilience

open access: yesAdvanced Science, EarlyView.
A biomimetic artificial extracellular matrix is assembled directly on Pseudomonas fluorescens by co‐assembling amyloid‐like lysozyme and alginate at the cell surface. This conformal nanocoating acts as both a hydration buffer and a physiological priming layer, markedly enhancing desiccation tolerance, seed adhesion, storage stability, and biocontrol ...
Yuanyuan Wang   +5 more
wiley   +1 more source

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

open access: yesAdvanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou   +3 more
wiley   +1 more source

Atomic‐Level CuOx‐CoOx‐Pd Interfacial Engineering Enables Hierarchical Synergy for High‐Efficiency ORR Pathways and Boosted Power Output in Alkaline Fuel Cells

open access: yesAdvanced Science, EarlyView.
Atomically dispersed CuOx (CPCu‐1) forms isolated Cu–Ov sites that enable defect‐mediated O2 activation and fast electron/proton transfer via interfacial synergy. In contrast, thick CuOx clusters (CPCu‐10) promote a surface‐adsorption‐controlled pathway with intermediate accumulation, highlighting a mechanism switch from interfacial activation to ...
Yang‐Yang Hsu   +8 more
wiley   +1 more source

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