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PreprintCC BYChemRxiv

Dynamic Fluxionality of Nickel Clusters Bypasses Linear Scaling Relations in Methane Dry Reforming

6 affiliations
  1. 1Key Laboratory of Precision and Intelligent Chemistry
  2. 2University of Science and Technology of China
  3. 3Suzhou Institute for Advanced Research, University of Science and Technology of China
  4. 4National Institute of Clean-and-Low-Carbon Energy, China Energy Investment Corporation Ltd.
  5. 5School of Material Science and Engineering
  6. 6Northeastern University

Abstract

While oxide-supported Ni-cluster catalysts are highly active and stable for dry reforming of methane, the size-dependent role of metal-support interactions remains elusive. Here, we deploy a comprehensive framework-integrating density functional theory (DFT), Ab initio molecular dynamics (AIMD), and microkinetic modeling-to elucidate the structure-dynamic-reactivity relationship of six Ni clusters (Ni1 to Ni16) under realistic reaction conditions. DFT reveals that increasing cluster size enhances supportto-metal electron transfer and induces electronic segregation, ultimately driving the formation of robust bifunctional interfacial sites. Furthermore, AIMD simulations indicate that while larger clusters maintain structural rigidity, medium-sized clusters exhibit dynamic fluxionality, reconstructing into highly active, transient single-atom-like configurations at elevated temperatures. Using carbon (EC) and hydrogen (EH) adsorption energies as descriptors, the microkinetic models yield distinct volcano plots for CO and H2 formation revealing a fundamental decoupling in their electronic requirements. Coverage analysis highlights a pronounced size effect: mechanistic shift: small clusters are thermodynamically quenched by oxygen poisoning, whereas large clusters are kinetically bottlenecked by inefficient H-H coupling. Ultimately, the Ni8 configuration achieves an optimal balance between these competing constraints, demonstrating that leveraging dynamic fluxionality and cluster nuclearity offers a powerful strategy to bypass static scaling relations in complex reforming reactions.

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BibTeX
@misc{mei2026dynamic,
  title = {{Dynamic Fluxionality of Nickel Clusters Bypasses Linear Scaling Relations in Methane Dry Reforming}},
  author = {Ziyu Mei and Jielin Chen and Wenjie Du and Quan Lin and Yuping Ren and Yang Wang and Gaowu Qin and Chuangwei Liu and Jun Jiang},
  howpublished = {ChemRxiv},
  year = {2026},
  month = oct,
  doi = {10.26434/chemrxiv.15011095/v1},
  url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv.15011095/v1},
  note = {CC BY},
}
RIS
TY  - UNPB
TI  - Dynamic Fluxionality of Nickel Clusters Bypasses Linear Scaling Relations in Methane Dry Reforming
AU  - Ziyu Mei
AU  - Jielin Chen
AU  - Wenjie Du
AU  - Quan Lin
AU  - Yuping Ren
AU  - Yang Wang
AU  - Gaowu Qin
AU  - Chuangwei Liu
AU  - Jun Jiang
PY  - 2026
DA  - 2026/10/27
PB  - ChemRxiv
DO  - 10.26434/chemrxiv.15011095/v1
UR  - https://chemrxiv.org/doi/full/10.26434/chemrxiv.15011095/v1
AB  - While oxide-supported Ni-cluster catalysts are highly active and stable for dry reforming of methane, the size-dependent role of metal-support interactions remains elusive. Here, we deploy a comprehensive framework-integrating density functional theory (DFT), Ab initio molecular dynamics (AIMD), and microkinetic modeling-to elucidate the structure-dynamic-reactivity relationship of six Ni clusters (Ni1 to Ni16) under realistic reaction conditions. DFT reveals that increasing cluster size enhances supportto-metal electron transfer and induces electronic segregation, ultimately driving the formation of robust bifunctional interfacial sites. Furthermore, AIMD simulations indicate that while larger clusters maintain structural rigidity, medium-sized clusters exhibit dynamic fluxionality, reconstructing into highly active, transient single-atom-like configurations at elevated temperatures. Using carbon (EC) and hydrogen (EH) adsorption energies as descriptors, the microkinetic models yield distinct volcano plots for CO and H2 formation revealing a fundamental decoupling in their electronic requirements. Coverage analysis highlights a pronounced size effect: mechanistic shift: small clusters are thermodynamically quenched by oxygen poisoning, whereas large clusters are kinetically bottlenecked by inefficient H-H coupling. Ultimately, the Ni8 configuration achieves an optimal balance between these competing constraints, demonstrating that leveraging dynamic fluxionality and cluster nuclearity offers a powerful strategy to bypass static scaling relations in complex reforming reactions.
ER  -