• DocumentCode
    1900449
  • Title

    An Improved Molecular Dynamics Algorithm for Large Scale Simulation in Nano-Engineering

  • Author

    Tang Yu-lan ; Chen Jia-xuan

  • Author_Institution
    Municipal & Environ. Eng. Inst., Shenyang Jianzhu Univ., Shenyang, China
  • Volume
    2
  • fYear
    2009
  • fDate
    10-11 Oct. 2009
  • Firstpage
    841
  • Lastpage
    844
  • Abstract
    Focusing on the special need of nano-engineering, an improved neighbor list algorithm for the ultra-large scale molecular dynamics (MD) simulation is proposed. The new algorithm is attempting to fully combine the advantages of both Verlet table and cell-linked list algorithms to accelerate the speed of neighbor list construction and update. In order to meet the requirement of nano-engineering that often requires the frequent update of the cell-linked lists and neighbor lists, the program employs the pointer link data structure so that both reliability and accuracy of the simulation can be ensured. The performance of molecular dynamics simulation is evaluated using the proposed algorithm and compared with those using conventional Verlet table and cell-linked list algorithms. Results show that the new algorithm outperforms the conventional cell-linked list algorithm by 2~3 times for systems of 104 ~ 106 atoms per single CPU.
  • Keywords
    molecular dynamics method; nanotechnology; Verlet table; cell-linked list algorithms; molecular dynamics algorithm; nanoengineering; neighbor list construction; pointer link data structure; ultralarge scale molecular dynamics simulation; Acceleration; Automation; Computational modeling; Data structures; Heuristic algorithms; Large-scale systems; Nanotechnology; Potential energy; Precision engineering; Predictive models; Verlet table; cell-linked list; molecular dynamics simulation; neighbor list;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
  • Conference_Location
    Changsha, Hunan
  • Print_ISBN
    978-0-7695-3804-4
  • Type

    conf

  • DOI
    10.1109/ICICTA.2009.438
  • Filename
    5287824