We address the challenge of representativity and dynamical consistency when unbonded fine-grained particles are collected together into coarse-grained particles. We implement a hybrid procedure for identifying and tracking the underlying fine-grained particles & horbar;e.g., atoms or molecules & horbar;by exchanging them between the coarse-grained particles periodically at a characteristic time. The exchange involves a back-mapping of the coarse-grained particles into fine-grained particles and a subsequent reassignment to coarse-grained particles conserving total mass and momentum. We find that an appropriate choice of the characteristic exchange time can lead to the correct effective diffusion rate of the fine-grained particles when simulated in hybrid coarse-grained dynamics. In the compressed (supercritical) fluid regime, without the exchange term, fine-grained particles remain associated with a given coarse-grained particle, leading to substantially lower diffusion rates than seen in all-atom molecular dynamics of the fine-grained particles. Thus, this work confirms the need for addressing the representativity of fine-grained particles within coarse-grained particles and offers a simple exchange mechanism so as to retain dynamical consistency between the fine- and coarse-grained scales.
机构:
Univ Fed Rio Grande do Sul UFRGS, Ctr Biotecnol, Programa Posgrad Biol Celular & Mol PPGBCM, BR-91509900 Porto Alegre, BrazilInst Pasteur Montevideo, Biomol Simulat Grp, Montevideo 11400, Uruguay
机构:
Institute for Computational Engineering and Sciences The University of Texas at Austin, 201 East 24th St, Stop C0200 POB 4.102, Austin, 78712, TXInstitute for Computational Engineering and Sciences The University of Texas at Austin, 201 East 24th St, Stop C0200 POB 4.102, Austin, 78712, TX
Oden J.T.
Farrell K.
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机构:
Institute for Computational Engineering and Sciences The University of Texas at Austin, 201 East 24th St, Stop C0200 POB 4.102, Austin, 78712, TXInstitute for Computational Engineering and Sciences The University of Texas at Austin, 201 East 24th St, Stop C0200 POB 4.102, Austin, 78712, TX
Farrell K.
Faghihi D.
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Institute for Computational Engineering and Sciences The University of Texas at Austin, 201 East 24th St, Stop C0200 POB 4.102, Austin, 78712, TXInstitute for Computational Engineering and Sciences The University of Texas at Austin, 201 East 24th St, Stop C0200 POB 4.102, Austin, 78712, TX