Scalable Reactive Molecular Dynamics Simulations for Computational Synthesis

  • Ying Li
  • , Ken Ichi Nomura
  • , Joseph A. Insley
  • , Vitali Morozov
  • , Kalyan Kumaran
  • , Nichols A. Romero
  • , William A. Goddard
  • , Rajiv K. Kalia
  • , Aiichiro Nakano
  • , Priya Vashishta

Research output: Contribution to journalArticlepeer-review

Abstract

Reactive molecular dynamics (MD) simulation is a powerful research tool for describing chemical reactions. We eliminate the speed-limiting charge iteration in MD with a novel extended-Lagrangian scheme. The extended-Lagrangian reactive MD (XRMD) code drastically improves energy conservation while substantially reducing time-to-solution. Furthermore, we introduce a new polarizable charge equilibration (PQEq) model to accurately predict atomic charges and polarization. The XRMD code based on hybrid message passing+multithreading achieves a weak-scaling parallel efficiency of 0.977 on 786 432 IBM Blue Gene/Q cores for a 67.6 billion-atom system. The performance is portable to the second-generation Intel Xeon Phi, Knights Landing. Blue Gene/Q simulations for the computational synthesis of materials via novel exfoliation mechanisms for synthesizing atomically thin transition metal dichalcogenide layers will dominate nanomaterials science in this century.

Original languageEnglish
Article number8254322
Pages (from-to)64-75
Number of pages12
JournalComputing in Science and Engineering
Volume21
Issue number5
DOIs
Publication statusPublished - 1 Sept 2019
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • computer system implementation mathematics of computing
  • computing methodologies
  • data
  • general
  • general
  • general
  • large and medium ('mainframe') computers
  • modeling and prediction
  • numerical analysis
  • operating systems
  • parallel algorithms
  • performance
  • simulation theory
  • simulation, modeling, and visualization
  • software
  • software engineering
  • super (very large) computers
  • system applications and experience
  • theory of computation
  • types of simulation

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