Published July 2017 | Version v1
Journal article

A fragmentation-based approach for evaluating the intra-chain excitonic couplings in conjugated polymers

  • 1. School of Chemistry and Chemical Engineering, Nanjing University, No. 163 Xianlin Avenue, Nanjing, 210023 (China)

Description

Highlights: • New fragmentation-based approach for evaluating the intra-chain excitonic coupling. • Frenkel exciton model can nicely reproduce full TDDFT calculations in weakly coupled systems. • Description for strongly coupled system require the inclusion of higher excited states in fragments. For computing the intra-chain excitonic couplings in polymeric systems, here we propose a new fragmentation approach. A comparison for the energetic and spatial properties of the low-lying excited states in PPV between our scheme and full quantum chemical calculations, reveals that our scheme can nicely reproduce full quantum chemical results in weakly coupled systems. Further wavefunction analysis indicate that improved description for strongly coupled system can be achieved by the inclusion of the higher excited states within each fragments. Our proposed scheme is helpful for building the bridge linking the phenomenological descriptions of excitons and microscopic modeling for realistic polymers.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.cplett.2017.04.099

Additional details

Identifiers

DOI
10.1016/j.cplett.2017.04.099;
PII
S0009261417304281;

Publishing Information

Journal Title
Chemical Physics Letters
Journal Volume
679
Journal Page Range
p. 152-157
ISSN
0009-2614
CODEN
CHPLBC

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
51091154
Subject category
S74: ATOMIC AND MOLECULAR PHYSICS; S37: INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY;
Descriptors DEI
COUPLINGS; EXCITATION; EXCITED STATES; EXCITON MODEL; FRAGMENTATION; POLYMERS; WAVE FUNCTIONS
Descriptors DEC
ENERGY LEVELS; ENERGY-LEVEL TRANSITIONS; FUNCTIONS; MATHEMATICAL MODELS; NUCLEAR MODELS

Optional Information

Copyright
Copyright (c) 2017 Elsevier B.V. All rights reserved.