Liu, J. Y.; Zhang, Y. C.; Liu, Y. X. Accelerating field-based simulations of block copolymers by exploring symmetry of chain architectures. Chinese J. Polym. Sci. https://doi.org/10.1007/s10118-026-3599-4
Jun-Yang Liu, Yu-Chen Zhang, Yi-Xin Liu. Accelerating Field-based Simulations of Block Copolymers by Exploring Symmetry of Chain Architectures[J/OL]. Chinese Journal of Polymer Science, 2026, 441-9.
Liu, J. Y.; Zhang, Y. C.; Liu, Y. X. Accelerating field-based simulations of block copolymers by exploring symmetry of chain architectures. Chinese J. Polym. Sci. https://doi.org/10.1007/s10118-026-3599-4DOI:
Jun-Yang Liu, Yu-Chen Zhang, Yi-Xin Liu. Accelerating Field-based Simulations of Block Copolymers by Exploring Symmetry of Chain Architectures[J/OL]. Chinese Journal of Polymer Science, 2026, 441-9. DOI: 10.1007/s10118-026-3599-4.
Accelerating Field-based Simulations of Block Copolymers by Exploring Symmetry of Chain Architectures
Recent advances in polymer synthesis have enabled the creation of block copolymers with increasingly complex chain architectures
presenting exciting opportunities for novel materials design. However
elucidating and exploring their intricate mesophase behavior calls for highly efficient computational tools. Building upon recent developments in optimizing propagator computations for branched polymers
such as dynamic programming approaches and extensions of comb polymer methods
we introduce a novel topology-driven acceleration algorithm specifically designed for graph-enhanced field-based simulations (FBS) of block copolymers. Unlike prior methods focused on specific redundancies
our approach leverages graph isomorphism for topological decomposition
enabling systematic handling of symmetries in arbitrary architectures. Comprehensive benchmark tests on diverse complex architectures
including miktoarm star polymers and dendrimers
demonstrate significant computational speed-ups across a wide range of ordered phases. The acceleration algorithm not only enables rapid exploration of vast parameter spaces for complex block copolymer systems with self-consistent field theory (SCFT) simulations but also maintains full compatibility with sampling-based field-theoretical simulations (FTS)
facilitating broader applicability in computational polymer science.
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