Results 131 to 140 of about 38,862 (256)

Interfacial Electronic Modulation of Vacancy‐Stabilized Pt Sites in Mo‐NiSeO4/NiSe2 Heterostructures for Industrial Alkaline Water Electrolysis

open access: yesAdvanced Energy Materials, EarlyView.
A vacancy‐stabilized Pt,Mo‐NiSeO4/NiSe2@Co2P heterostructure with atomically dispersed Pt sites and Mo‐regulated electronic structure enables efficient bifunctional water splitting. Strong interfacial coupling and defect‐assisted Pt stabilization promote rapid charge transfer and optimized intermediate adsorption, delivering outstanding HER/OER ...
Thokchom Anjali Devi   +7 more
wiley   +1 more source

A Comprehensive Comparative Study of Active Learning Schemes for Nanophotonics Design

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Extending Battery Usage Time of a Heavy‐Duty Mecanum‐Wheeled Autonomous Electric Vehicle Used in Iron–Steel Industry by Considering Wheel Slippage

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar   +2 more
wiley   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

open access: yesAdvanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica   +38 more
wiley   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

open access: yesAdvanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne   +5 more
wiley   +1 more source

S‐Scheme Charge Separation Enables Photocarrier‐Regulated Aqueous NH4+ Storage in g‐C3N4@WO3 Heterojunctions

open access: yesAngewandte Chemie, EarlyView.
Light irradiation activates the g‐C3N4@WO3 S‐scheme heterojunction, where the built‐in electric field drives charge separation to generate high‐energy carriers, facilitating NH4+ adsorption and enhancing electron/ion transport for high‐capacity, stable aqueous NH4+ storage.
Yue Zhang   +9 more
wiley   +2 more sources

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