Issue 33, 2017, Issue in Progress

Screening and design of high-performance indoline-based dyes for DSSCs

Abstract

The molecular structures and photophysical properties of three D–A–π–A dyes (WS-2, WS-92 and WS-95) were calculated based on density functional theory (DFT) and time-dependent DFT (TD-DFT). The results show that different donor (D) groups and π-spacer bridges affect the photophysical properties. WS-95 presents the highest light harvesting efficiency (LHE), maximum absorption peak, dipole moment (μnormal), electron affinity (EA), electrophilicity (ω) and electron accepting power (ω+), as well as a small natural bond orbital (NBO) charge of the electron acceptor, ionization potential (IP) and chemical hardness (h). These critical parameters have a close relationship with the open-circuit photo-voltage (VOC) and the short-circuit current density (JSC), and lead to WS-95 exhibiting higher efficiency. In order to obtain an efficient dye, we designed a series of dyes based on WS-95 and analyzed their optical and electronic properties. It was found that upon introducing a CN group into WS-95 (as in the designed molecules 1, 2, 3, 7, 8 and 9), the band gap energies of the dyes were decreased, leading to an absorption peak red-shift compared to WS-95. The structural modifications also result in an increase in the electrophilicity and electron accepting power, and a decrease in the chemical hardness. When –NH2 is introduced into WS-95 (4, 5, 6, 10, 11 and 12), the opposite trend is observed compared to dyes 1, 2, 3, 7, 8 and 9. We hope that these results will be helpful for experiments to synthesize new and highly efficient dyes.

Graphical abstract: Screening and design of high-performance indoline-based dyes for DSSCs

Supplementary files

Article information

Article type
Paper
Submitted
19 Dec 2016
Accepted
28 Mar 2017
First published
10 Apr 2017
This article is Open Access
Creative Commons BY license

RSC Adv., 2017,7, 20520-20536

Screening and design of high-performance indoline-based dyes for DSSCs

Y. Li, Y. Li, P. Song, F. Ma, J. Liang and M. Sun, RSC Adv., 2017, 7, 20520 DOI: 10.1039/C6RA28396A

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