TY - JOUR
T1 - Three pillars for achieving quantum mechanical molecular dynamics simulations of huge systems
T2 - Divide-and-conquer, density-functional tight-binding, and massively parallel computation
AU - Nishizawa, Hiroaki
AU - Nishimura, Yoshifumi
AU - Kobayashi, Masato
AU - Irle, Stephan
AU - Nakai, Hiromi
N1 - Publisher Copyright:
© 2016 Wiley Periodicals, Inc.
PY - 2016/8/5
Y1 - 2016/8/5
N2 - 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.
AB - 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.
KW - density-functional tight-binding method
KW - linear-scaling divide-and-conquer method
KW - massively parallel computation
KW - quantum mechanical molecular dynamics
UR - http://www.scopus.com/inward/record.url?scp=84976641914&partnerID=8YFLogxK
U2 - 10.1002/jcc.24419
DO - 10.1002/jcc.24419
M3 - Article
C2 - 27317328
AN - SCOPUS:84976641914
SN - 0192-8651
SP - 1983
EP - 1992
JO - Journal of Computational Chemistry
JF - Journal of Computational Chemistry
ER -