- The disordered microphases that develop in the high-temperature phase of systems with competing short- range attractive and long-range repulsive (SALR) interactions result in a rich array of distinct morphologies, such as cluster, void cluster and percolated (gel-like) fluids. These different structural regimes exhibit complex relaxation dynamics with marked heterogeneity and slowdown. The overall relationship between structure and configurational sampling schemes, however, remains largely uncharted. Here, the disordered microphases of a schematic SALR model are thoroughly characterized, and structural relaxation functions adapted to each regime are devised. The sampling efficiency of various advanced Monte Carlo (MC) sampling schemes–Virtual-Move (VMMC), Aggregation-Volume-Bias (AVBMC) and Event-Chain (ECMC)–is then assessed. A ... [Read More]
- Total Size
- 4 files (3.4 MB)
- Data Citation
- Zheng, M., & Charbonneau, P. (2021). Data and scripts from: Characterization and efficient Monte Carlo sampling of disordered microphases. Duke Research Data Repository. https://doi.org/10.7924/r4w37th8b
- DOI
- 10.7924/r4w37th8b
- Publication Date
- June 7, 2021
- ARK
- ark:/87924/r4w37th8b
- Publisher
- Type
- Format
- Related Materials
- Funding Agency
- National Science Foundation
- Grant Number
- DMR-1749374
- Contact
- Mingyuan Zheng: mingyuan.zheng@duke.edu, ORCID: 0000-0003-3397-7574
- Title
- Data and scripts from: Characterization and efficient Monte Carlo sampling of disordered microphases
- Repository
| Thumbnail | Title | Date Uploaded | Actions | |
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Dynamics.zip | 2021-06-07 | Download | |
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Thermodynamics.zip | 2021-06-07 | Download | |
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VirialCoefficients.zip | 2021-06-07 | Download | |
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readme.md | 2021-06-07 | Download |