4.7 Article

Theoretical exploration of optoelectronic performance of PM6:Y6 series-based organic solar cells

Journal

SURFACES AND INTERFACES
Volume 26, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.surfin.2021.101385

Keywords

Y6; DFT; Organic solar cells; UV-Vis; Electronic transition; Mechanism

Funding

  1. National Natural Science Foundation of China [21776067]
  2. Scientific Research Foundation of Hunan Provincial Education Department, China [19K031]
  3. Hunan Provincial Distinguished Young Scholars Foundation of China [2020JJ2014]

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This study investigates the UV-Vis absorption spectra of acceptors and donors in organic solar cells using DFT and TD-DFT, finding accurate functional predictions and electron transition mechanisms. It also reveals matching HOMO and LUMO energy levels in the molecules, offering insights into UV-Vis spectra formation and theoretical guidance for organic photovoltaic material design.
Organic solar cells (OSCs) have become a research focus due to their broad applications. In this work, the UV-Vis absorption spectra of the acceptor Y6, N3 and N4 as well as the donor PM6 were investigated using density functional theory (DFT) and time-dependent density functional theory (TD-DFT). It shows that the five func-tionals of B3LYP, PBE0, HSE06, the tuned CAM-B3LYP and the tuned omega B97XD can more accurately predict the UV-Vis absorption spectra of these molecules. The hole-electron analysis and Interfragment Charge Transfer method (IFCF) are used to study the electron transition mechanisms of the two types of systems, respectively. It indicated that the electron transition of Y6 and its derivatives is pi-pi* charge transfer excitation and local exci-tation on the aromatic backbone and the PM6 is mainly the pi-pi* excitation on the conjugated chain. Moreover, it was found that the HOMO and LUMO energy levels of the acceptor and donor molecules match. This study obtains some insights into the formation mechanism of UV-Vis absorption spectra, which provides a theoretical approach for the prediction and design of organic photovoltaic materials.

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