Data and scripts from: Characterization and efficient Monte Carlo sampling of disordered microphases

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  • 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 combination of VMMC and AVBMC is found to be computationally most efficient for cluster fluids and ECMC to become relatively more efficient as density increases. These results offer a complete description of the equilibrium disordered phase of a simple microphase former as well as dynamical benchmarks for other sampling schemes. ... [Read More]

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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
ARK
  • ark:/87924/r4w37th8b
Affiliation
Type
Funding Agency
  • National Science Foundation
Grant Number
  • DMR-1749374
Contact
Title
  • Data and scripts from: Characterization and efficient Monte Carlo sampling of disordered microphases

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