Dataset for article "Characterization of Mobile Ions in Perovskite Solar Cells with Capacitance and Current Measurements by Approximating Drift-Diffusion Simulations"
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| Autores principales: | , , , , , |
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
| Publicado: |
Zenodo
2025
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| _version_ | 1866902146248605696 |
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| author | Schmidt, Moritz Christian Alvarez, Agustin O. Seid, Biruk A. de Boer, Jeroen J. Lang, Felix Ehrler, Bruno |
| author_facet | Schmidt, Moritz Christian Alvarez, Agustin O. Seid, Biruk A. de Boer, Jeroen J. Lang, Felix Ehrler, Bruno |
| contents | <p>The migration of mobile ions is one of the leading causes of the degradation of perovskite solar cells. However, quantifying mobile ions in complete perovskite solar cells is challenging due to the complex device stacks and the impact of charge transport layers on the measurement techniques. Here, we develop a simple and openly accessible step model that approximates drift-diffusion simulations. The step model is based on expressing the charge density in the ionic and electronic accumulation and depletion layers as step functions. We can then accurately determine the impact of mobile ions on the DC potential distribution of perovskite solar cells. Furthermore, we can simulate electrical measurement techniques commonly used to quantify mobile ions: capacitance transient, current transient, and capacitance frequency measurements. By validating the step model with drift-diffusion simulations, we show that an accurate extraction of ion density, diffusion coefficient, and activation energy is possible in an accessible range. We finally apply the developed step model to estimate the ionic conductivity and activation energy of perovskite solar cells.</p> <p>This dataset includes all experimental and simulation data used for the article.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_16890531 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Dataset for article "Characterization of Mobile Ions in Perovskite Solar Cells with Capacitance and Current Measurements by Approximating Drift-Diffusion Simulations" Schmidt, Moritz Christian Alvarez, Agustin O. Seid, Biruk A. de Boer, Jeroen J. Lang, Felix Ehrler, Bruno Perovskite Solar Cells Drift-Diffusion Simulations Mobile Ions <p>The migration of mobile ions is one of the leading causes of the degradation of perovskite solar cells. However, quantifying mobile ions in complete perovskite solar cells is challenging due to the complex device stacks and the impact of charge transport layers on the measurement techniques. Here, we develop a simple and openly accessible step model that approximates drift-diffusion simulations. The step model is based on expressing the charge density in the ionic and electronic accumulation and depletion layers as step functions. We can then accurately determine the impact of mobile ions on the DC potential distribution of perovskite solar cells. Furthermore, we can simulate electrical measurement techniques commonly used to quantify mobile ions: capacitance transient, current transient, and capacitance frequency measurements. By validating the step model with drift-diffusion simulations, we show that an accurate extraction of ion density, diffusion coefficient, and activation energy is possible in an accessible range. We finally apply the developed step model to estimate the ionic conductivity and activation energy of perovskite solar cells.</p> <p>This dataset includes all experimental and simulation data used for the article.</p> |
| title | Dataset for article "Characterization of Mobile Ions in Perovskite Solar Cells with Capacitance and Current Measurements by Approximating Drift-Diffusion Simulations" |
| topic | Perovskite Solar Cells Drift-Diffusion Simulations Mobile Ions |
| url | https://doi.org/10.5281/zenodo.16890531 |