ORCID: https://orcid.org/0000-0001-6572-8738; Kussmann, Jörg
ORCID: https://orcid.org/0000-0002-4724-8551 und Ochsenfeld, Christian
ORCID: https://orcid.org/0000-0002-4189-6558
(6. May 2020):
Combining Graphics Processing Units, Simplified Time-Dependent Density Functional Theory, and Finite-Difference Couplings to Accelerate Nonadiabatic Molecular Dynamics.
In: The Journal of Physical Chemistry Letters, Vol. 11, No. 10: pp. 3955-3961
[PDF, 1MB]
Abstract
Starting from our recently published implementation of nonadiabatic molecular dynamics (NAMD) on graphics processing units (GPUs), we explore further approaches to accelerate ab initio NAMD calculations at the time-dependent density functional theory (TDDFT) level of theory. We employ (1) the simplified TDDFT schemes of Grimme et al. and (2) the Hammes-Schiffer−Tully approach to obtain nonadiabatic couplings from finite-difference calculations. The resulting scheme delivers an accurate physical picture while virtually eliminating the two computationally most demanding steps of the algorithm. Combined with our GPU-based integral routines for SCF, TDDFT, and TDDFT derivative calculations, NAMD simulations of systems of a few hundreds of atoms at a reasonable time scale become accessible on a single compute node. To demonstrate this and to present a first, illustrative example, we perform TDDFT/MM-NAMD simulations of the rhodopsin protein.
| Item Type: | Journal article |
|---|---|
| EU Funded Grant Agreement Number: | 765739 |
| EU Projects: | Horizon 2020 > Marie Skłodowska Curie Actions > Marie Skłodowska-Curie Innovative Training Networks > 765739: COSINE - Training network for COmputational Spectroscopy In Natural sciences and Engineering |
| Form of publication: | Publisher's Version |
| Keywords: | Time dependant density functional theory; Energy; Nonadiabatic coupling; Chemical calculations; Computational chemistry |
| Faculties: | Chemistry and Pharmacy > Department of Chemistry |
| Subjects: | 500 Science > 540 Chemistry |
| URN: | urn:nbn:de:bvb:19-epub-72209-0 |
| ISSN: | 1948-7185 |
| Language: | English |
| Item ID: | 72209 |
| Date Deposited: | 22. May 2020 06:50 |
| Last Modified: | 23. Dec 2020 13:41 |
