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

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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Publication Details

Journal
ChemRxiv
Published
2026-10-27
DOI
https://doi.org/10.26434/chemrxiv.15011095/v1
Primary Topic
Catalysts for Methane Reforming
Type
preprint

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preprint

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

Wenjie Du, Chuangwei Liu, Ziyu Mei, Quan Lin et al.
4 links
ChemRxiv
Catalysts for Methane Reforming
preprint

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

Wenjie Du, Chuangwei Liu, Ziyu Mei, Quan Lin, ren yuping, Gaowu Qin, Yang Wang, Jun Jiang, Jielin Chen
preprint en

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.

ChemRxiv
University of Science and Technology of China (CN), Northeastern University (US), National Institute of Clean and Low-Carbon Energy (CN), Northeastern University (CN)
National Natural Science Foundation of China, University of Science and Technology of China
Affordable and clean energy
Catalysts for Methane Reforming
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