Interfacial Reactivity-Triggered Oscillatory Lattice Strains of Nanoalloys

Understanding the structure evolution of nanoalloys under reaction conditions is vital to the design of active and durable catalysts. Herein, we report an operando measurement of the dynamic lattice strains of dual-noble-metal alloyed with an earth-abundant metal as a model electrocatalyst in a working proton-exchange membrane fuel cell using synchrotron high-energy X-ray diffraction coupled with pair distribution function analysis. The results reveal an interfacial reaction-triggered oscillatory lattice strain in the alloy nanoparticles upon surface dealloying. Analysis of the lattice strains with an apparent oscillatory irregularity in terms of frequency and amplitude using time-frequency domain transformation and theoretical calculation reveals its origin from a metal atom vacancy diffusion pathway to facilitate realloying upon dealloying. This process, coupled with surface metal partial oxidation, constitutes a key factor for the nanoalloy's durability under the electrocatalytic oxygen reduction reaction condition, which serves as a new guiding principle for engineering durable or self-healable electrocatalysts for sustainable fuel cell energy conversion.

Authors

Institutions

Publication Details

Journal
Journal of the American Chemical Society
Published
2024-12-10
DOI
https://doi.org/10.1021/jacs.4c12550
Citations
18
Primary Topic
Anodic Oxide Films and Nanostructures
Type
article
Field-Weighted Citation Impact
2.11

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Interfacial Reactivity-Triggered Oscillatory Lattice Strains of Nanoalloys

Huabin Zhang, Chuan‐Jian Zhong, Zhi‐Peng Wu, Dong Dinh et al.
18 citations
Journal of the American Chemical Society
Anodic Oxide Films and Nanostructures
2.11
article

Interfacial Reactivity-Triggered Oscillatory Lattice Strains of Nanoalloys

Huabin Zhang, Chuan‐Jian Zhong, Zhi‐Peng Wu, Dong Dinh, Zhijie Kong, Jorge Vargas, Merry Madiou, Cailing Chen, Javier Ruiz-Martı́nez, Lichang Wang, Zeqi Li, Dominic Caracciolo, Yazan Maswadeh, Shao‐Lun Lu, Valeri G. Petkov, Yang Ren, Tianyi Li, Hui Zhang
article en
18 citations

Abstract

Understanding the structure evolution of nanoalloys under reaction conditions is vital to the design of active and durable catalysts. Herein, we report an operando measurement of the dynamic lattice strains of dual-noble-metal alloyed with an earth-abundant metal as a model electrocatalyst in a working proton-exchange membrane fuel cell using synchrotron high-energy X-ray diffraction coupled with pair distribution function analysis. The results reveal an interfacial reaction-triggered oscillatory lattice strain in the alloy nanoparticles upon surface dealloying. Analysis of the lattice strains with an apparent oscillatory irregularity in terms of frequency and amplitude using time-frequency domain transformation and theoretical calculation reveals its origin from a metal atom vacancy diffusion pathway to facilitate realloying upon dealloying. This process, coupled with surface metal partial oxidation, constitutes a key factor for the nanoalloy's durability under the electrocatalytic oxygen reduction reaction condition, which serves as a new guiding principle for engineering durable or self-healable electrocatalysts for sustainable fuel cell energy conversion.

Journal of the American Chemical SocietyVol. 146(51)
Southern Illinois University Carbondale (US), Binghamton University (US), Argonne National Laboratory (US), Central Michigan University (US), City University of Hong Kong (HK), MSSCORPS (Taiwan) (TW), Physical Sciences (United States) (US), TAMI Industries (France) (FR), Eurofins (United States) (US), Eurofins (France) (FR), Advanced Photonix (United States) (US), Universidad Autónoma de Zacatecas "Francisco García Salinas" (MX), King Abdullah University of Science and Technology (SA), South China University of Technology (CN)
National Science Foundation, Basic Energy Sciences
Openalex Percentile: Top 9%
Anodic Oxide Films and Nanostructures
2.11
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.