Literature DB >> 34149052

Towards a priori uncertainty quantification in coarse-grained molecular dynamics: Generalized multipole potentials.

Paul N Patrone1, Andrew M Dienstfrey1, Geoffrey B McFadden1.   

Abstract

In computational materials science, coarse-graining approaches often lack a priori uncertainty quantification (UQ) tools that estimate the accuracy of a reduced-order model before it is calibrated or deployed. This is especially the case in coarse-grained (CG) molecular dynamics (MD), where "bottom-up" methods need to run expensive atomistic simulations as part of the calibration process. As a result, scientists have been slow to adopt CG techniques in many settings because they do not know in advance whether the cost of developing the CG model is justified. To address this problem, we present an analytical method of coarse-graining rigid-body systems that yields corresponding intermolecular potentials with controllable levels of accuracy relative to their atomistic counterparts. Critically, this analysis: (i) provides a mathematical foundation for assessing the quality of a CG force field without running simulations; and (ii) provides a tool for understanding how atomistic systems can be viewed as appropriate limits of reduced-order models. Simulated results confirm the validity of this approach at the trajectory level and point to issues that must be addressed in coarse-graining fully non-rigid systems.

Entities:  

Year:  2019        PMID: 34149052      PMCID: PMC8209989          DOI: 10.2514/6.2019-0971

Source DB:  PubMed          Journal:  AIAA J        ISSN: 0001-1452            Impact factor:   2.127


  8 in total

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5.  On the representability problem and the physical meaning of coarse-grained models.

Authors:  Jacob W Wagner; James F Dama; Aleksander E P Durumeric; Gregory A Voth
Journal:  J Chem Phys       Date:  2016-07-28       Impact factor: 3.488

6.  Van der Waals Perspective on Coarse-Graining: Progress toward Solving Representability and Transferability Problems.

Authors:  Nicholas J H Dunn; Thomas T Foley; William G Noid
Journal:  Acc Chem Res       Date:  2016-12-08       Impact factor: 22.384

7.  Transferability of coarse-grained force fields: the polymer case.

Authors:  Paola Carbone; Hossein Ali Karimi Varzaneh; Xiaoyu Chen; Florian Müller-Plathe
Journal:  J Chem Phys       Date:  2008-02-14       Impact factor: 3.488

8.  Bayesian calibration of coarse-grained forces: Efficiently addressing transferability.

Authors:  Paul N Patrone; Thomas W Rosch; Frederick R Phelan
Journal:  J Chem Phys       Date:  2016-04-21       Impact factor: 3.488

  8 in total

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