The explicit bonding reaction ensemble Monte Carlo method

Author:

Blanco Pablo M.123ORCID,Košovan Peter1ORCID

Affiliation:

1. Department of Physical and Macromolecular Chemistry, Faculty of Science, Charles University 1 , Hlavova 8, 128 40 Prague 2, Czech Republic

2. Department of Material Science and Physical Chemistry, Research Institute of Theoretical and Computational Chemistry (IQTCUB), University of Barcelona 2 , Martí i Franquès 1, 08028 Barcelona, Spain

3. Department of Physics, NTNU - Norwegian University of Science and Technology 3 , NO-7491 Trondheim, Norway

Abstract

We present the explicit bonding Reaction ensemble Monte Carlo (eb-RxMC) method, designed to sample reversible bonding reactions in macromolecular systems in thermodynamic equilibrium. Our eb-RxMC method is based on the reaction ensemble method; however, its implementation differs from the latter by the representation of the reaction. In the eb-RxMC implementation, we are adding or deleting bonds between existing particles, instead of inserting or deleting particles with different chemical identities. This new implementation makes the eb-RxMC method suitable for simulating the formation of reversible linkages between macromolecules, which would not be feasible with the original implementation. To enable coupling of our eb-RxMC algorithm with molecular dynamics algorithm for the sampling of the configuration space, we biased the sampling of reactions only within a certain inclusion radius. We validated our algorithm using a set of ideally behaving systems undergoing dimerization and polycondensation reactions, for which analytical results are available. For dimerization reactions with various equilibrium constants and initial compositions, the degree of conversion measured in our simulations perfectly matched the reference values given by the analytical equations. We also showed that this agreement is not affected by the arbitrary choice of the inclusion radius or the stiffness of the harmonic bond potential. Next, we showed that our simulations can correctly match the analytical results for the distribution of the degree of polymerization and end-to-end distance of ideal chains in polycondensation reactions. Altogether, we demonstrated that our eb-RxMC simulations correctly sample both reaction and configuration spaces of these reference systems, opening the door to future simulations of more complex interacting macromolecular systems.

Funder

Czech Science Foundation

EEA Grants/Norway Grants

HORIZON EUROPE Framework Program

Ministry of Education, Youth and Sports of the Czech Republic

Publisher

AIP Publishing

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