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The disordered microphases that develop in the high-temperature phase ofsystems 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 structuralregimes exhibit complex relaxation dynamics with significant relaxationheterogeneity and slowdown. The overall relationship between structure andconfigurational sampling schemes, however, remains largely uncharted. In thisarticle, the disordered microphases of a schematic SALR model are thoroughlycharacterized, and structural relaxation functions adapted to each regime aredevised. The sampling efficiency of various advanced Monte Carlo (MC) samplingschemes--Virtual-Move (VMMC), Aggregation-Volume-Bias (AVBMC) and Event-Chain(ECMC)--is then assessed. A combination of VMMC and AVBMC is found to becomputationally most efficient for cluster fluids and ECMC to become relativelymore efficient as density increases. These results offer a complete descriptionof the equilibrium disordered phase of a simple microphase former as well asdynamical benchmarks for other sampling schemes.

Characterization and Efficient Monte Carlo Sampling of Disordered Microphases