Results 221 to 230 of about 491,518 (301)

Redox‐Mediated Aluminum–Air Fuel Cells With Suppressed Hydrogen Evolution for Durable Power Generation

open access: yesAdvanced Energy Materials, EarlyView.
The redox‐mediated aluminum–air fuel cell (RM‐AAFC) integrates a soluble redox mediator, 7,8‐dihydroxy‐2‐phenazine sulfonic acid (DHPS), to facilitate the oxidation of aluminum and inhibit hydrogen evolution reaction (HER) through competitive reactions between DHPS reduction and HER on the Al surface.
Yuxi Song   +10 more
wiley   +1 more source

Retraction of "Tuning the Magnetic Behavior of Zinc Ferrite via Cobalt Substitution: A Structural Analysis". [PDF]

open access: yesACS Omega
Hussain M   +12 more
europepmc   +1 more source

Information Dense and Industry Scalable Accelerated Formation

open access: yesAdvanced Intelligent Discovery, EarlyView.
Pulsed formation can reduce lithium‐ion battery formation time by over 50% while maintaining or enhancing performance. Validated on 25 Ah prismatic cells, this industry‐scalable method yields thinner, more homogeneous solid electrolyte interphases (SEIs).
Leon Merker   +3 more
wiley   +1 more source

Advancements in Graphdiyne‐Based Multiscale Catalysts for Green Hydrogen Energy Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review systematically explores the fundamental characteristics of graphdiyne (GDY), cutting‐edge field of GDY‐based multiscale catalysts within sustainable energy conversion systems.Special emphasis is placed on the structure‒property relationships in different reactions.
Qian Xiao, Lu Qi, Siao Chen, Yurui Xue
wiley   +1 more source

FastCat: Autonomous Discovery of Multielement Layered Double Hydroxide Alloy Catalysts for Alkaline Oxygen Evolution Reaction

open access: yesAdvanced Intelligent Discovery, EarlyView.
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker   +3 more
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

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