MiMiC: A Novel Framework for Multiscale Modeling in Computational Chemistry

被引:37
|
作者
Olsen, Jogvan Magnus Haugaard [1 ]
Bolnykh, Viacheslav [2 ,3 ,4 ,5 ]
Meloni, Simone [6 ]
Ippoliti, Emiliano [4 ,5 ]
Bircher, Martin P. [7 ]
Carloni, Paolo [2 ,4 ,5 ,8 ]
Rothlisberger, Ursula [7 ]
机构
[1] UiT Arctic Univ Norway, Dept Chem, Hylleraas Ctr Quantum Mol Sci, N-9037 Tromso, Norway
[2] Rhein Westfal TH Aachen, Dept Phys, D-52056 Aachen, Germany
[3] Cyprus Inst, CaSToRC, CY-2121 Nicosia, Cyprus
[4] Forschungszentrum Julich, Inst Adv Simulat IAS 5, D-52425 Julich, Germany
[5] Forschungszentrum Julich, Inst Neurosci & Med INM 9, D-52425 Julich, Germany
[6] Sapienza Univ Rome, Dept Mech & Aerosp Engn, I-00184 Rome, Italy
[7] Ecole Polytech Fed Lausanne, Lab Computat Chem & Biochem, CH-1015 Lausanne, Switzerland
[8] Forschungszentrum Julich, Inst Neurosci & Med INM 11, D-52425 Julich, Germany
基金
瑞士国家科学基金会; 欧盟地平线“2020”;
关键词
MOLECULAR-DYNAMICS SIMULATIONS; DENSITY-FUNCTIONAL CALCULATIONS; AB-INITIO; PLANE-WAVES; PROTEIN; APPROXIMATION; OPTIMIZATION; MECHANISM; EFFICIENT; GROMACS;
D O I
10.1021/acs.jctc.9b00093
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
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.
引用
收藏
页码:3810 / 3823
页数:14
相关论文
共 50 条
  • [1] MiMiC: Multiscale Modeling in Computational Chemistry
    Bolnykh, Viacheslav
    Olsen, Jogvan Magnus Haugaard
    Meloni, Simone
    Bircher, Martin P.
    Ippoliti, Emiliano
    Carloni, Paolo
    Rothlisberger, Ursula
    FRONTIERS IN MOLECULAR BIOSCIENCES, 2020, 7
  • [2] A multiscale framework for computational nanomechanics: Application to the modeling of carbon nanotubes
    Masud, Arif
    Kannan, Raguraman
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2009, 78 (07) : 863 - 882
  • [3] A computational multiscale modeling framework for investigating the mechanical properties of meat
    Spyrou, L. A.
    FOOD STRUCTURE-NETHERLANDS, 2020, 26
  • [4] Multiscale modeling in materials chemistry
    Alexandrova, Anastassia
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2016, 251
  • [5] A multiscale framework for modeling geomaterials
    Andrade, J. E.
    Tu, X.
    Finno, R. J.
    DEFORMATION CHARACTERISTICS OF GEOMATERIALS, VOLS 1 AND 2, 2008, : 671 - 677
  • [6] Computational multiscale modeling of intergranular cracking
    Simonovski, Igor
    Cizelj, Leon
    JOURNAL OF NUCLEAR MATERIALS, 2011, 414 (02) : 243 - 250
  • [7] Emergent complexity of multiscale computational modeling
    Wriggers, Willy
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2012, 243
  • [8] Computational multiscale modeling of embryo development
    Krupinski, Pawel
    Chickarmane, Vijay
    Peterson, Carsten
    CURRENT OPINION IN GENETICS & DEVELOPMENT, 2012, 22 (06) : 613 - 618
  • [9] Advances in Multiscale Modeling and Computational Mechanics
    Liao, Ningbo
    Yang, Ping
    Nilsson, Kristina
    Xu, Bin
    ADVANCES IN MECHANICAL ENGINEERING, 2015, 7 (02)
  • [10] MULTISCALE MODELING OF POLLUTANT TRANSPORT AND CHEMISTRY
    ODMAN, MT
    RUSSELL, AG
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1991, 96 (D4) : 7363 - 7370