Journal Article FZJ-2019-03536

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MiMiC: A Novel Framework for Multiscale Modeling in Computational Chemistry

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2019
Washington, DC

Journal of chemical theory and computation 15(6), 3810 - 3823 () [10.1021/acs.jctc.9b00093]

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Abstract: We present a flexible and efficient framework for multiscale modeling in computational chemistry (MiMiC). It is based on a multiple-program multiple-data (MPMD) model with loosely coupled programs. Fast data exchange between programs is achieved through the use of MPI intercommunicators. This allows exploiting the existing parallelization strategies used by the coupled programs while maintaining a high degree of flexibility. MiMiC has been used in a new electrostatic embedding quantum mechanics/molecular mechanics (QM/MM) implementation coupling the highly efficient CPMD and GROMACS programs, but it can also be extended to use other programs. The framework can also be utilized to extend the partitioning of the system into several domains that can be treated using different models, such as models based on wave function or density functional theory as well as coarse-graining and continuum models. The new QM/MM implementation treats long-range electrostatic QM–MM interactions through the multipoles of the QM subsystem which substantially reduces the computational cost without loss of accuracy compared to an exact treatment. This enables QM/MM molecular dynamics (MD) simulations of very large systems.

Classification:

Contributing Institute(s):
  1. Computational Biomedicine (IAS-5)
  2. Computational Biomedicine (INM-9)
Research Program(s):
  1. 574 - Theory, modelling and simulation (POF3-574) (POF3-574)

Appears in the scientific report 2019
Database coverage:
Medline ; Embargoed OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; IF >= 5 ; JCR ; NCBI Molecular Biology Database ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Web of Science Core Collection
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Institutssammlungen > INM > INM-9
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Open Access

 Datensatz erzeugt am 2019-06-27, letzte Änderung am 2024-06-25


Published on 2019-04-18. Available in OpenAccess from 2020-04-18.:
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