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Combining particle and field-theoretic polymer models with multi-representation simulations
Journal article   Open access   Peer reviewed

Combining particle and field-theoretic polymer models with multi-representation simulations

Joshua Lequieu
The Journal of chemical physics, v 158(24)
28 Jun 2023
PMID: 37377157
url
https://doi.org/10.1063/5.0153104View
Published, Version of Record (VoR) Open

Abstract

Chemistry Chemistry, Physical Physical Sciences Physics Physics, Atomic, Molecular & Chemical Science & Technology
Particle-based and field-theoretic simulations are both widely used methods to predict the properties of polymeric materials. In general, the advantages of each method are complementary. Field-theoretic simulations are preferred for polymers with high molecular weights and can provide direct access to chemical potentials and free energies, which makes them the method-of-choice for calculating phase diagrams. The trade-off is that field-theoretic simulations sacrifice the molecular details present in particle-based simulations, such as the configurations of individual molecules and their dynamics. In this work, we describe a new approach to conduct "multi-representation" simulations that efficiently map between particle-based and field-theoretic simulations. Our approach involves the construction of formally equivalent particle-based and field-based models, which are then simulated subject to the constraint that their spatial density profiles are equal. This constraint provides the ability to directly link particle-based and field-based simulations and enables calculations that can switch between one representation to the other. By switching between particle/field representations during a simulation, we demonstrate that our approach can leverage many of the advantages of each representation while avoiding their respective limitations. Although our method is illustrated in the context of complex sphere phases in linear diblock copolymers, we anticipate that it will be useful whenever free energies, rapid equilibration, molecular configurations, and dynamic information are all simultaneously desired.

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15 citations in Scopus

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Web of Science research areas
Chemistry, Physical
Physics, Atomic, Molecular & Chemical
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