Improving optoelectronic characterization by combining modulated techniques
Agustin O. Alvarez a, Sandheep Ravishankar b, Elena Más Marza a, Francisco Fabregat-Santiago a
a Institute of Advanced Materials (INAM), Universitat Jaume I, 12071 Castelló de la Plana, Spain
b IEK-5 Photovoltaics, Forschungzentrum Jülich, 52425 Jülich, Germany
International Conference on Hybrid and Organic Photovoltaics
Proceedings of International Conference on Hybrid and Organic Photovoltaics (HOPV22)
València, Spain, 2022 May 19th - 25th
Organizers: Pablo Docampo, Eva Unger and Elizabeth Gibson
Oral, Agustin O. Alvarez, presentation 114
DOI: https://doi.org/10.29363/nanoge.hopv.2022.114
Publication date: 20th April 2022

Impedance spectroscopy (IS) is a powerful technique to characterize the internal electrical processes during the operation of the devices. Intensity-modulated photocurrent (IMPS) and photovoltage (IMVS) spectroscopies have been also used to characterize the internal electronic processes, including the optical properties as well. These three techniques are usually implemented independently, generally employing an Equivalent Circuit (EC) for IS,[1] and the characteristic frequencies for IMPS and IMVS.[2] Recent studies have shown that the combination of these techniques has great potential,[3]but at the same time, implementing this procedure is a challenge.[4] In this talk, we will present the characterization of different kinds of optoelectronic devices, such as solar cells and photoelectrochemical cells, by combining the three techniques into a joint model. We will first introduce a general equivalent circuit, suitable for the three techniques and different devices. We will show how it can be used to identify a more accurate model for the device, exposing limitation processes, and how it can be used to fit the three techniques, extracting quantitative parameters.[5] As an alternative method, we will also present the deduction of the three transfer functions from fundamental equations, using the results to fit the experimental data of three techniques simultaneously. Whith this talk, we will  expose the limitations of each technique when used independently and how to combine them to overcome these limitations and obtain more detailed information.

This project has received funding from the European Union’s Horizon 2020 MSCA Innovative Training Network under grant agreement No 764787. A.O.A., E.M.M. and F.F.-S. the authors want to acknowledge Ministerio de Economía y Competitividad (MINECO) from Spain under the project, ENE2017-85087-C3-1-R. S.R. acknowledges funding from the Helmholtz association via the project PEROSEED.

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