Percolation Diagrams Derived from First-Principles Investigation of Chemical Short-Range Order in Binary Alloys
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arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866909970465816576 |
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| author | Roy, Abhinav Sieradzki, Karl Waters, Michael J. Rondinelli, James M. McCue, Ian D. |
| author_facet | Roy, Abhinav Sieradzki, Karl Waters, Michael J. Rondinelli, James M. McCue, Ian D. |
| contents | Recent developments in the percolation theory of passivation have shown that chemical short-range order (SRO) affects the aqueous passivation behavior of alloys. However, there has been no systematic exploration to quantify these SRO effects on percolation in practical alloys and the related passivation behavior. In this study, we quantify the effects of SRO on percolation in a binary size-mismatched Cu-Rh alloy and study the related passivation behavior. We develop a mixed-space cluster expansion model trained on the mixing energy calculated using density functional theory. We use the cluster expansion model to sample the configuration space via variance-constrained semi-grand canonical Monte Carlo simulations and develop SRO diagrams over a range of compositions and temperatures. Building on this with the percolation crossover model, specifically the variation of percolation threshold with SRO in the FCC lattice, we construct the first nearest-neighbor chemical percolation diagram. These diagrams can inform the design of the next generation of corrosion-resistant metallic alloys. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_08253 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Percolation Diagrams Derived from First-Principles Investigation of Chemical Short-Range Order in Binary Alloys Roy, Abhinav Sieradzki, Karl Waters, Michael J. Rondinelli, James M. McCue, Ian D. Materials Science Statistical Mechanics Recent developments in the percolation theory of passivation have shown that chemical short-range order (SRO) affects the aqueous passivation behavior of alloys. However, there has been no systematic exploration to quantify these SRO effects on percolation in practical alloys and the related passivation behavior. In this study, we quantify the effects of SRO on percolation in a binary size-mismatched Cu-Rh alloy and study the related passivation behavior. We develop a mixed-space cluster expansion model trained on the mixing energy calculated using density functional theory. We use the cluster expansion model to sample the configuration space via variance-constrained semi-grand canonical Monte Carlo simulations and develop SRO diagrams over a range of compositions and temperatures. Building on this with the percolation crossover model, specifically the variation of percolation threshold with SRO in the FCC lattice, we construct the first nearest-neighbor chemical percolation diagram. These diagrams can inform the design of the next generation of corrosion-resistant metallic alloys. |
| title | Percolation Diagrams Derived from First-Principles Investigation of Chemical Short-Range Order in Binary Alloys |
| topic | Materials Science Statistical Mechanics |
| url | https://arxiv.org/abs/2509.08253 |