Density of states characterization of TiO2 films deposited by pulsed laser deposition for heterojunction solar cells

Journal Article (2021)
Author(s)

Daniele Scirè (Università degli Studi di Palermo)

Roberto Macaluso (Università degli Studi di Palermo)

Mauro Mosca (Università degli Studi di Palermo)

Maria Pia Casaletto (National Research Council)

Olindo Isabella (TU Delft - Photovoltaic Materials and Devices)

Miro Zeman (TU Delft - Electrical Sustainable Energy)

Isodiana Crupi (Università degli Studi di Palermo)

Research Group
Photovoltaic Materials and Devices
DOI related publication
https://doi.org/10.1007/s12274-021-3985-8
More Info
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Publication Year
2021
Language
English
Research Group
Photovoltaic Materials and Devices
Issue number
5
Volume number
15
Pages (from-to)
4048-4057

Abstract

The application of titanium dioxide (TiO2) in the photovoltaic (PV) field is gaining traction as this material can be deployed in doping-free heterojunction solar cells with the role of electron selective contact. For modeling-based optimization of such contact, knowledge of the titanium oxide defect density of states (DOS) is crucial. In this paper, we report a method to extract the defect density through nondestructive optical measures, including the contribution given by small polaron optical transitions. The presence of both related to oxygen-vacancy defects and polarons is supported by the results of optical characterizations and the evaluation of previous observations resulting in a defect band fixed at 1 eV below the conduction band edge of the oxide. Solar cells employing pulsed laser deposited-TiO2 electron selective contacts were fabricated and characterized. The J-V curve of these cells showed, however, an S-shape, then a detailed analysis of the reasons for such behavior was carried out. We use a model involving the series of a standard cell equivalent circuit with a Schottky junction in order to explain these atypical performances. A good matching between the experimental measurements and the adopted theoretical model was obtained. The extracted parameters are listed and analyzed to shed light on the reasons behind the low-performance cells. [Figure not available: see fulltext.]

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