Anharmonic infrared spectroscopy through the Fourier transform of time correlation function formalism in ONETEP
Anharmonic infrared spectroscopy through the Fourier transform of time correlation function formalism in ONETEP
Density functional theory molecular dynamics (DFT-MD) provides an efficient framework for accurately computing several types of spectra. The major benefit of DFT-MD approaches lies in the ability to naturally take into account the effects of temperature and anharmonicity, without having to introduce any ad hoc or a posteriori corrections. Consequently, computational spectroscopy based on DFT-MD approaches plays a pivotal role in the understanding and assignment of experimental peaks and bands at finite temperature, particularly in the case of floppy molecules. Linear-scaling DFT methods can be used to study large and complex systems, such as peptides, DNA strands, amorphous solids, and molecules in solution. Here, we present the implementation of DFT-MD IR spectroscopy in the Onetep linear-scaling code. In addition, two methods for partitioning the dipole moment within the Onetep framework are presented. Dipole moment partitioning allows us to compute spectra of molecules in solution, which fully include the effects of the solvent, while at the same time removing the solvent contribution from the spectra
3321-3332
Vitale, Valerio
dc892a8a-70b3-4adf-9e30-f29eb1d1b965
Dziedzic, Jacek
8e2fdb55-dade-4ae4-bf1f-a148a89e4383
Dubois, Simon M.-M.
58dc15d9-086b-40fb-b9e3-d038518bdf8b
Fangohr, Hans
9b7cfab9-d5dc-45dc-947c-2eba5c81a160
Skylaris, Chris-Kriton
8f593d13-3ace-4558-ba08-04e48211af61
25 June 2015
Vitale, Valerio
dc892a8a-70b3-4adf-9e30-f29eb1d1b965
Dziedzic, Jacek
8e2fdb55-dade-4ae4-bf1f-a148a89e4383
Dubois, Simon M.-M.
58dc15d9-086b-40fb-b9e3-d038518bdf8b
Fangohr, Hans
9b7cfab9-d5dc-45dc-947c-2eba5c81a160
Skylaris, Chris-Kriton
8f593d13-3ace-4558-ba08-04e48211af61
Vitale, Valerio, Dziedzic, Jacek, Dubois, Simon M.-M., Fangohr, Hans and Skylaris, Chris-Kriton
(2015)
Anharmonic infrared spectroscopy through the Fourier transform of time correlation function formalism in ONETEP.
Journal of Chemical Theory and Computation, 11 (7), .
(doi:10.1021/acs.jctc.5b00391).
Abstract
Density functional theory molecular dynamics (DFT-MD) provides an efficient framework for accurately computing several types of spectra. The major benefit of DFT-MD approaches lies in the ability to naturally take into account the effects of temperature and anharmonicity, without having to introduce any ad hoc or a posteriori corrections. Consequently, computational spectroscopy based on DFT-MD approaches plays a pivotal role in the understanding and assignment of experimental peaks and bands at finite temperature, particularly in the case of floppy molecules. Linear-scaling DFT methods can be used to study large and complex systems, such as peptides, DNA strands, amorphous solids, and molecules in solution. Here, we present the implementation of DFT-MD IR spectroscopy in the Onetep linear-scaling code. In addition, two methods for partitioning the dipole moment within the Onetep framework are presented. Dipole moment partitioning allows us to compute spectra of molecules in solution, which fully include the effects of the solvent, while at the same time removing the solvent contribution from the spectra
Text
Hans Fangohr sept 2015 acs jctc 5b00391.pdf
- Version of Record
Restricted to Repository staff only
Request a copy
More information
e-pub ahead of print date: 10 June 2015
Published date: 25 June 2015
Organisations:
Chemistry, Computational Engineering & Design Group
Identifiers
Local EPrints ID: 381811
URI: http://eprints.soton.ac.uk/id/eprint/381811
ISSN: 1549-9618
PURE UUID: 5669d8ba-9a19-4082-8192-82cba3bfb5f8
Catalogue record
Date deposited: 16 Oct 2015 08:20
Last modified: 15 Mar 2024 03:35
Export record
Altmetrics
Contributors
Author:
Valerio Vitale
Author:
Simon M.-M. Dubois
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics