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.
| Original language | English |
|---|---|
| Pages (from-to) | 1983-1992 |
| Number of pages | 10 |
| Journal | Journal of Computational Chemistry |
| DOIs | |
| State | Published - Aug 5 2016 |
| Externally published | Yes |
Keywords
- density-functional tight-binding method
- linear-scaling divide-and-conquer method
- massively parallel computation
- quantum mechanical molecular dynamics
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