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An improved molecular dynamics algorithm for large scale simulation in nano-engineering

  • Shenyang Jianzhu University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 10 4 ∼ 106 atoms per single CPU.

Original languageEnglish
Title of host publication2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009
Pages841-844
Number of pages4
DOIs
StatePublished - 2009
Event2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009 - Changsha, Hunan, China
Duration: 10 Oct 200911 Oct 2009

Publication series

Name2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009
Volume2

Conference

Conference2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009
Country/TerritoryChina
CityChangsha, Hunan
Period10/10/0911/10/09

Keywords

  • Cell-linked list
  • Molecular dynamics simulation
  • Neighbor list
  • Verlet table

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