Recent advances in high-valent 3d-metal-incorporated layered double hydroxides for electrochemical water splitting

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Digital materials ecosystem: from databases to AI agents for autonomous discovery

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Machine Learning-Guided Design of High-Entropy FeCoCrMnCu Layered Double Hydroxides for Efficient Oxygen Evolution in Alkaline Media

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ACS Catal., 2026, 16, 4502
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Anion-Directed Engineering of High-Entropy Layered Double Hydroxides for Oxygen Evolution Catalysis

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ACS Nano, 2026, 20, 6732
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Modulation of the Electronic Structure of High-Entropy FeCoNiMnAl Layered Double Hydroxides Boosting Oxygen Evolution Reaction Performance

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ACS Appl. Mater. Interfaces, 2026, 18, 18969
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Tuning Layered Double Hydroxides from Trimetallic to High-Entropy Nanomaterials for Enhanced Oxygen Evolution in Alkaline Environments

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ACS Appl. Nano Mater., 2025, 8, 19558
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Bridging machine learning and water electrolysis: Concepts, methods, and perspectives

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Materials Today Energy, 2026, 57, 102232
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Magnetic field-assisted jet electrodeposition of Ni–Co based composite electrodes on nickel foam for alkaline water electrolysis

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International Journal of Hydrogen Energy, 2026, 197, 152636
DOI: 10.1016/j.ijhydene.2025.152636

Heteroleptic Ruthenium(II) Complexes of Phenanthroline-Based Ligands as Efficient Electrocatalysts for Oxygen Evolution Reaction

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ACS Appl. Energy Mater., 2026, 9, 2755
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Revolutionizing layered double hydroxides for adsorption, catalysis and energy storage through artificial intelligence and machine learning: A critical review

Priyadarshi Roy Chowdhury, Himani Medhi, Krishna G. Bhattacharyya and Chaudhery Mustansar Hussain

Coordination Chemistry Reviews, 2026, 560, 217886
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