Results 161 to 170 of about 40,331 (242)

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

Multifunctional Matrix‐Activated Electrodes Enabling Efficient Proton Transport and Durable Low‐Pt Operation for High‐Temperature Proton Exchange Membrane Fuel Cells

open access: yesAdvanced Energy Materials, EarlyView.
This work introduces a CeHP‐enabled multifunctional matrix‐activated electrode (MME) for high‐temperature PEM fuel cells, forming an electrochemically and mechanically functional matrix within the catalyst layer. The design increases peak power density by 38% and reduces voltage decay by 62% at 240 °C, while using only 40% of the Pt loading of a ...
Gyeongseok Gwak   +12 more
wiley   +1 more source

Internal Electric Field‐Guided, Low‐Adsorption Ferroelectric Anode Protective Layers for Sustainable Suppression of Polysulfide Side Reactions in Lithium–Sulfur Batteries

open access: yesAdvanced Energy Materials, EarlyView.
A positively polarized ferroelectric β‐pvdf layer incorporating fluorinated boron nitride nanosheets (PPFBN) establishes a strong internal field that promotes Li+ transport toward the anode while suppressing the migration of polysulfide anions. In addition, its intrinsically low polysulfide affinity helps preserve protective‐layer functionality ...
Daehun Han   +6 more
wiley   +1 more source

Surface‐Functionalized MXene for Enhanced Photocatalytic CO2 Reduction

open access: yesAdvanced Energy Materials, EarlyView.
Poly(catechol/p‐cresol)‐functionalized MXene (f‐MXene) enhances oxidation stability while preserving conductivity, enabling efficient interfacial electron transfer in a Cu/f‐MXene/reduced TiO2 photocatalyst. Strong Cu–f‐MXene synergy promotes CO2 activation and selective CH4 production, achieving a CH4 yield of 18.1 µmol g−1 (>200 × vs.
Dongyun Kim   +18 more
wiley   +1 more source

Counter‐Halide‐Directed Ion‐Pair Passivation Enables High‐Performance Wide‐Bandgap Perovskites for Perovskite/Cu(in,Ga)Se2 Tandem Solar Cells

open access: yesAdvanced Energy Materials, EarlyView.
Counter‐halide engineering of fluorobenzylammonium surface passivators reveals bromide as the optimal partner for wide‐bandgap perovskites. FBz–Br effectively stabilizes halide‐vacancy‐related defects and undercoordinated Pb sites, suppresses non‐radiative recombination, and enhances surface hydrophobicity and thermal stability.
Huyen Tran   +17 more
wiley   +1 more source

The Effect of SNAP Purchasing Power on Diet Quality

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT The Supplemental Nutrition Assistance Program (SNAP) benefits millions of eligible low‐income Americans by increasing access to food, helping to reduce food insecurity. Previous studies have documented that the geographical variation in local food prices leads to significant differences in SNAP's purchasing power.
Farah Khan, Augustine Denteh
wiley   +1 more source

Cost Pass‐Through in Crisis: Evidence From the German Malt‐Beer Supply Chain

open access: yesAgribusiness, EarlyView.
Abstract Global agri‐food supply chains are increasingly exposed to geopolitical shocks, climate volatility, and market consolidation, factors that disrupt traditional price relationships and reshape market power dynamics. Nowhere is this more visible than in the brewing sector, where agricultural raw materials meet complex industrial processing and ...
Nikolas Bublik, Lukáš Čechura
wiley   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai   +3 more
wiley   +1 more source

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