journal article·2025-11

Inter‐Sublattice Random Pt(Co,Ni) Alloy Nanoparticle Catalysts for Highly Efficient Oxygen Reduction Reaction

Yeji Park, Hung Ngo Manh, Jae‐Hyun Park, Minsu Kim, Seong Chan Cho, Taekyung Kim, Doyeop Kim, Byeongyoon Kim, Hionsuck Baik, Thierry Epicier, Sang Uck Lee, Sung Jong Yoo, Kwangyeol Lee

Advanced Energy Materials· Volume 15· Issue 44
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Abstract

Abstract The rigid atomic ordering in Pt‐based intermetallic catalysts enhances structural stability but inherently restricts local electronic tunability and compositional flexibility. These limitations hinder catalyst optimization under dynamic electrochemical conditions in proton exchange membrane fuel cells (PEMFCs). To overcome this, an inter‐sublattice random (ISR) alloy strategy is reported that integrates atomic‐level compositional disorder into a structurally ordered Pt–M (M = Co, Ni) framework. Using a two‐step heteroepitaxial growth approach, Ni atoms are introduced into the M‐sublattice of a PtCo intermetallic seed, forming a catalyst with retained crystallographic order and randomized Co/Ni distribution. This dual order‐disorder motif decouples structural symmetry from chemical complexity, offering precise electronic modulation and reaction‐adaptive flexibility. The ISR catalyst exhibits optimized d‐band filling and intermediate binding, achieving ORR activity and durability that surpass the Department of Energy (DOE) 2025 PEMFC targets. Mechanistic analyses combining in situ microscopic observation, synchrotron spectroscopy and density functional theory (DFT) calculations reveal that sublattice disorder and Pt‐skin formation synergistically stabilize the surface structure and modulate adsorption energy. This work establishes sublattice‐level disorder engineering within intermetallic structures as a promising synthetic strategy for developing robust and tunable electrocatalysts. Moreover, the solid‐state synthesis enables scalable production for widespread PEMFC deployment.
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Research context

OpenAlex topics: Electrocatalysts for Energy Conversion · Fuel Cells and Related Materials · Machine Learning in Materials Science

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Chemistry and Research Institute for Natural Sciences Korea University Seoul 02841 Republic of Korea

Hydrogen Fuel Cell Research Center Korea Institute of Science and Technology Seoul 02792 Republic of Korea

School of Chemical Engineering Sungkyunkwan University Suwon 16419 Republic of Korea

Division of Energy&Environment Technology, KIST school University of Science and Technology (UST) Daejeon 34113 Republic of Korea

Korea Basic Science Institute (KBSI) Seoul 02841 Republic of Korea

IRCELYON, umr CNRS 5256 Université Claude Bernard Lyon 1 2 ave, AlbertEinstein Villeurbanne Cedex 69626 France

Funding

Korea Basic Science Institute

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