Replica-Averaging: An algorithm to study mechano-reactive processes for polymers under flow conditions

Fuente: arXiv
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Main Authors: Kania, Sagar, Nguyen, Anh H., Oztekin, Alparslan, Webb III, Edmund
Format: Preprint
Published: 2022
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author Kania, Sagar
Nguyen, Anh H.
Oztekin, Alparslan
Webb III, Edmund
author_facet Kania, Sagar
Nguyen, Anh H.
Oztekin, Alparslan
Webb III, Edmund
contents A new method based on quasi-independent parallel simulations approach, replica-averaging, has been developed to study the influence of flow on mechanical force-mediated polymer processes such as denaturation and breaking of bonds. This method considerably mitigates the unphysical prediction of force-mediated events inherent in Brownian dynamics (BD) polymer chain simulations that employ instantaneous force profile-based criteria to identify the occurrence of such events. This inaccuracy in predicting force-mediated event kinetics is due to high fluctuations of the instantaneous force profile around the average force. Replica-averaging reduces such high fluctuation effects by computing a force profile that faithfully represents the average force profile of the polymer chain conformation, which is then used to predict reactive events. For transient conformation conditions, the replica-averaged method more accurately predicts mechano-reactive kinetics than the time-averaged method, typically employed to reduce the unphysical prediction of force-mediated events in BD simulations. Further, the influence of the proposed replica-averaging method parameters on the accuracy of predicting the true average force profile along the polymer is discussed.
format Preprint
id arxiv_https___arxiv_org_abs_2206_05851
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Replica-Averaging: An algorithm to study mechano-reactive processes for polymers under flow conditions
Kania, Sagar
Nguyen, Anh H.
Oztekin, Alparslan
Webb III, Edmund
Chemical Physics
Soft Condensed Matter
A new method based on quasi-independent parallel simulations approach, replica-averaging, has been developed to study the influence of flow on mechanical force-mediated polymer processes such as denaturation and breaking of bonds. This method considerably mitigates the unphysical prediction of force-mediated events inherent in Brownian dynamics (BD) polymer chain simulations that employ instantaneous force profile-based criteria to identify the occurrence of such events. This inaccuracy in predicting force-mediated event kinetics is due to high fluctuations of the instantaneous force profile around the average force. Replica-averaging reduces such high fluctuation effects by computing a force profile that faithfully represents the average force profile of the polymer chain conformation, which is then used to predict reactive events. For transient conformation conditions, the replica-averaged method more accurately predicts mechano-reactive kinetics than the time-averaged method, typically employed to reduce the unphysical prediction of force-mediated events in BD simulations. Further, the influence of the proposed replica-averaging method parameters on the accuracy of predicting the true average force profile along the polymer is discussed.
title Replica-Averaging: An algorithm to study mechano-reactive processes for polymers under flow conditions
topic Chemical Physics
Soft Condensed Matter
url https://arxiv.org/abs/2206.05851