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An extensible density-biasing approach for molecular simulations of multicomponent block copolymers
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Rajkumar, Aravinthen, Brommer, Peter and Figiel, Lukasz (2023) An extensible density-biasing approach for molecular simulations of multicomponent block copolymers. Soft Matter, 19 (8). doi:10.1039/d2sm01516a ISSN 1744-683X.
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Official URL: https://doi.org/10.1039/d2sm01516a
Abstract
A node-density biased Monte Carlo methodology is proposed for the molecular structure generation of complex block copolymers. Within this methodology, the block copolymer is represented as bead-spring model. Using self-consistent field theory, a density field for all monomer species within the system is calculated. Block copolymers are generated by random walk configuration biased by the density fields. The proposed algorithm then modifies the generation process by taking the global structure of the polymer into account. It is then demonstrated that these global considerations can be built into the sampling procedure, specifically through functions that assign a permissible difference in density field value between relevant monomer species to each step of the random walk. In this way, the random walk may be naturally controlled to provide the most appropriate conformations. The overall viability of this approach has been demonstrated by using the resulting configurations in molecular dynamics simulations. This new methodology is demonstrated to be powerful enough to generate molecular configurations for a much wider variety of materials than the original approach. Two key examples of the new capabilities of the method are viable configurations for ABABA pentablock copolymers and ABC triblock terpolymers.
Item Type: | Journal Article | ||||||||
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Subjects: | Q Science > QD Chemistry | ||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering Faculty of Science, Engineering and Medicine > Science > Physics Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) |
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SWORD Depositor: | Library Publications Router | ||||||||
Library of Congress Subject Headings (LCSH): | Block copolymers , Block copolymers -- Simulation methods, Density functionals | ||||||||
Journal or Publication Title: | Soft Matter | ||||||||
Publisher: | Royal Society of Chemistry | ||||||||
ISSN: | 1744-683X | ||||||||
Official Date: | 2023 | ||||||||
Dates: |
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Volume: | 19 | ||||||||
Number: | 8 | ||||||||
DOI: | 10.1039/d2sm01516a | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||
Date of first compliant deposit: | 2 March 2023 | ||||||||
Date of first compliant Open Access: | 2 March 2023 | ||||||||
RIOXX Funder/Project Grant: |
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