Results 221 to 230 of about 109,088 (302)

Self‐Activating Electrocatalysts for Water Splitting: Advancing Structure–Performance Understanding and Beyond

open access: yesAdvanced Energy Materials, EarlyView.
Self‐activating electrocatalysts offer strong potential for advanced water splitting, enabled by their dynamic compositional and structural evolution during operation. This review highlights recent advances in self‐activating OER and HER catalysts, emphasizing the driving forces and mechanisms underlying their adaptive behavior. A conceptual network of
Christean Nickel   +6 more
wiley   +1 more source

High‐Sublimation‐Temperature Additives for Efficient Perovskite Solar Cells via Single‐Source Evaporation

open access: yesAdvanced Energy Materials, EarlyView.
The introduction of high‐sublimation‐temperature additives during the mechanosynthesis of FAPbI3 powders enables the single‐source evaporation of phase‐pure, additive‐free FAPbI3 thin films of high optoelectronic quality. The additive‐engineered deposition process yields photovoltaic devices with stabilized efficiencies exceeding 18% for an active ...
Zongbao Zhang   +13 more
wiley   +1 more source

Redox Complexity in Sodium Manganese Hexacyanomanganate and Its Influence on Sodium‐Ion Storage Performance

open access: yesAdvanced Energy Materials, EarlyView.
The role of each Mn site in the Na3‐xMn[Mn(CN)6]·zH2O compounds’ redox activity was investigated using a combined experimental–computational approach, which shows that only the low‐spin Mn‐C site undergoes redox changes (Mn1+ to Mn4+), while high‐spin Mn‐N remains unchanged. The study confirms the presence of the Mn1+ intermediate and newly reveals its
Zhenying Li   +11 more
wiley   +1 more source

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

Livestock Tango: U.S. and Latin America Dance Together, but Who Will Lead?

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study examines the competitiveness between Latin American and U.S. livestock and meat sectors. We employ a computable general equilibrium modeling framework to evaluate two scenarios: coordinated improvements in Latin American productivity, transport efficiency, and market access (Scenario I), and the minimum productivity gains required ...
Taís C. Menezes   +2 more
wiley   +1 more source

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