Annealing-aware screening of Co–Ir–Ni–Rh–Ru alloys for ammonia decomposition

Finite-temperature segregation complicates the screening of multicomponent materials because the operative surface state under annealing conditions can differ substantially from the bulk composition. Using ammonia decomposition reaction (ADR) on Co–Ir–Ni–Rh–Ru as a testbed, we develop a CE–MMC–microkinetic framework for multicomponent materials screening that resolves segregation, lattice strain, and mixed-surface-state retention. A single-descriptor volcano based on *N-hcp adsorption (Δ E (*N)) links temperature-dependent step statistics to activity, while a strain correction enables consistent screening across compositions. MMC simulations predict Ni/Rh surface enrichment and Ru subsurface partitioning, depressing the activity of equimolar alloys after annealing despite high rates in the randomly mixed limit. High-throughput composition-activity maps at 1500 K reveal Ru-rich activity belts with maxima up to ~1.4–1.5× the Ru benchmark, and the surface-configurational-entropy proxy (Δ S conf ) serves as a screening metric for annealing-temperature mixed-surface-state retention. High-〈TOF〉 belts overlap elevated-Δ S conf windows, enabling a two-objective compositional filter that jointly prioritizes ADR activity and mixed-surface-state retention. The resulting maps identify minimal Rh/Ir doping (~5–10%) and substantial Co/Ni substitution (40–60%) as cost-aware design windows, while establishing a computational strategy for annealing-aware screening of multicomponent materials.

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Publication Details

Journal
npj Computational Materials
Published
2026-07-18
DOI
https://doi.org/10.1038/s41524-026-02242-3
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
Field-Weighted Citation Impact
0.00

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article

Annealing-aware screening of Co–Ir–Ni–Rh–Ru alloys for ammonia decomposition

Xingyu Li, C WANG, Liang Cao
npj Computational Materials
Ammonia Synthesis and Nitrogen Reduction
article

Annealing-aware screening of Co–Ir–Ni–Rh–Ru alloys for ammonia decomposition

Xingyu Li, C WANG, Liang Cao
article en

Abstract

Finite-temperature segregation complicates the screening of multicomponent materials because the operative surface state under annealing conditions can differ substantially from the bulk composition. Using ammonia decomposition reaction (ADR) on Co–Ir–Ni–Rh–Ru as a testbed, we develop a CE–MMC–microkinetic framework for multicomponent materials screening that resolves segregation, lattice strain, and mixed-surface-state retention. A single-descriptor volcano based on *N-hcp adsorption (Δ E (*N)) links temperature-dependent step statistics to activity, while a strain correction enables consistent screening across compositions. MMC simulations predict Ni/Rh surface enrichment and Ru subsurface partitioning, depressing the activity of equimolar alloys after annealing despite high rates in the randomly mixed limit. High-throughput composition-activity maps at 1500 K reveal Ru-rich activity belts with maxima up to ~1.4–1.5× the Ru benchmark, and the surface-configurational-entropy proxy (Δ S conf ) serves as a screening metric for annealing-temperature mixed-surface-state retention. High-〈TOF〉 belts overlap elevated-Δ S conf windows, enabling a two-objective compositional filter that jointly prioritizes ADR activity and mixed-surface-state retention. The resulting maps identify minimal Rh/Ir doping (~5–10%) and substantial Co/Ni substitution (40–60%) as cost-aware design windows, while establishing a computational strategy for annealing-aware screening of multicomponent materials.

npj Computational Materials
Zhejiang University (CN)
National Natural Science Foundation of China, Zhejiang University, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 22%
Ammonia Synthesis and Nitrogen Reduction
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Annealing-aware screening of Co–Ir–Ni–Rh–Ru alloys for ammonia decomposition — Xingyu Li, C WANG, et al. · npj Computational Materials (2026) | TGRS Research Map | TGRS