Benchmarking Post-Hartree-Fock Methods To Describe the Nonlinear Optical Properties of Polymethines: An Investigation of the Accuracy of Algebraic Diagrammatic Construction (ADC) ApproachesShow others and affiliations
2016 (English)In: Journal of Chemical Theory and Computation, ISSN 1549-9618, E-ISSN 1549-9626, Vol. 12, no 11, p. 5465-5476Article in journal (Refereed) Published
Abstract [en]
Third-order nonlinear optical (NLO) properties of polymethine dyes have been widely studied for applications such as all-optical switching. However, the limited accuracy of the current computational methodologies has prevented a comprehensive understanding of the nature of the lowest excited states and their influence on the molecular optical and NLO properties. Here, attention is paid to the lowest excited-state energies and their energetic ratio, as these characteristics impact the figure-of-merit for all-optical switching. For a series of model polymethines, we compare several algebraic diagrammatic construction (ADC) schemes for the polarization propagator with approximate second-order coupled cluster (CC2) theory, the widely used INDO/MRDCI approach and the symmetry adapted cluster configuration interaction (SAC-CI) algorithm incorporating singles and doubles linked excitation operators (SAC-CI SD-R). We focus in particular on the ground-to-excited state transition dipole moments and the corresponding state dipole moments, since these quantities are found to be of utmost importance for an effective description of the third-order polarizability gamma and two-photon absorption spectra. A sum-overstates expression has been used, which is, found to quickly converge. While ADC(3/2) has been found to be the most appropriate method to calculate these properties, CC2 performs poorly.
Place, publisher, year, edition, pages
AMER CHEMICAL SOC , 2016. Vol. 12, no 11, p. 5465-5476
National Category
Theoretical Chemistry
Identifiers
URN: urn:nbn:se:liu:diva-133119DOI: 10.1021/acs.jctc.6b00615ISI: 000387519400022PubMedID: 27715035OAI: oai:DiVA.org:liu-133119DiVA, id: diva2:1055258
Note
Funding Agencies|KAUST
2016-12-122016-12-092017-11-29