Computational Prediction of Electronic and Photovoltaic Properties of Anthracene-Based Organic Dyes for Dye-Sensitized Solar Cells

Joint Authors

Liu, Jinglin
Wang, Hongbo
Liu, Qian
Liu, Dejiang
Su, Runzhou
Li, Yuanzuo

Source

International Journal of Photoenergy

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-17, 17 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-08-01

Country of Publication

Egypt

No. of Pages

17

Main Subjects

Chemistry

Abstract EN

Three kinds of anthracene-based organic dyes for dye-sensitized solar cells (DSSCs) were studied, and their structures are based on a push–pull framework with anthracenyl diphenylamine as the donor connected to a carboxyphenyl or carboxyphenyl-bromothiazole (BTZ) as the acceptor via an acetylene bridge.

The photoelectric properties of the three dyes were investigated using density functional theory (DFT).

The simulations indicate that the improvement of anthracene-based dyes (the addition of BTZ and the change of alkyl groups to alkoxy chains) can reduce the energy gap and produce a red shift.

This structural modification also improves the light capturing and the electron injection capability, making it excellent in photoelectric conversion efficiency (PCE).

In addition, twelve molecules have been designed to regulate photovoltaic performance.

American Psychological Association (APA)

Wang, Hongbo& Liu, Qian& Liu, Dejiang& Su, Runzhou& Liu, Jinglin& Li, Yuanzuo. 2018. Computational Prediction of Electronic and Photovoltaic Properties of Anthracene-Based Organic Dyes for Dye-Sensitized Solar Cells. International Journal of Photoenergy،Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1174164

Modern Language Association (MLA)

Wang, Hongbo…[et al.]. Computational Prediction of Electronic and Photovoltaic Properties of Anthracene-Based Organic Dyes for Dye-Sensitized Solar Cells. International Journal of Photoenergy No. 2018 (2018), pp.1-17.
https://search.emarefa.net/detail/BIM-1174164

American Medical Association (AMA)

Wang, Hongbo& Liu, Qian& Liu, Dejiang& Su, Runzhou& Liu, Jinglin& Li, Yuanzuo. Computational Prediction of Electronic and Photovoltaic Properties of Anthracene-Based Organic Dyes for Dye-Sensitized Solar Cells. International Journal of Photoenergy. 2018. Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1174164

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1174164