Volume 37, Issue 21 p. 1983-1992
Full Paper

Three pillars for achieving quantum mechanical molecular dynamics simulations of huge systems: Divide‐and‐conquer, density‐functional tight‐binding, and massively parallel computation

Hiroaki Nishizawa

Department of Theoretical and Computational Molecular Science, Institute for Molecular Science, Okazaki, 444‐8585 Japan

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Yoshifumi Nishimura

Department of Theoretical and Computational Molecular Science, Institute for Molecular Science, Okazaki, 444‐8585 Japan

Research Institute for Science and Engineering, Waseda University, Tokyo, 169‐8555 Japan

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Masato Kobayashi

Department of Chemistry, Faculty of Science, Hokkaido University, Sapporo, 060‐0810 Japan

ESICB, Kyoto University, Kyoto, 615‐8520 Japan

PRESTO, Japan Science and Technology Agency, Kawaguchi, 332‐0012 Japan

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Stephan Irle

Department of Chemistry, Graduate School of Science, and Institute of Transformative Bio‐Molecules (WPI‐ITbM), Nagoya University, Nagoya, 464‐8602 Japan

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Hiromi Nakai

Corresponding Author

Research Institute for Science and Engineering, Waseda University, Tokyo, 169‐8555 Japan

ESICB, Kyoto University, Kyoto, 615‐8520 Japan

Department of Chemistry and Biochemistry, School of Advanced Science and Engineering, Waseda University, Tokyo, 169‐8555 Japan

CREST, Japan Science and Technology Agency, Kawaguchi, 332‐0012 Japan

E‐mail: nakai@waseda.jpSearch for more papers by this author
First published: 18 June 2016
Citations: 55

Abstract

The linear‐scaling divide‐and‐conquer (DC) quantum chemical methodology is applied to the density‐functional tight‐binding (DFTB) theory to develop a massively parallel program that achieves on‐the‐fly molecular reaction dynamics simulations of huge systems from scratch. The functions to perform large scale geometry optimization and molecular dynamics with DC‐DFTB potential energy surface are implemented to the program called DC‐DFTB‐K. A novel interpolation‐based algorithm is developed for parallelizing the determination of the Fermi level in the DC method. The performance of the DC‐DFTB‐K program is assessed using a laboratory computer and the K computer. Numerical tests show the high efficiency of the DC‐DFTB‐K program, a single‐point energy gradient calculation of a one‐million‐atom system is completed within 60 s using 7290 nodes of the K computer. © 2016 Wiley Periodicals, Inc.

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