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.This dataset includes all experimental and simulation data used for the article.

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.This dataset includes all experimental and simulation data used for the article.

Structural, optoelectronic, and supplementary characterization data for "Reversible Pressure-Dependent Mechanochromism of Dion–Jacobson and Ruddlesden–Popper Layered Hybrid Perovskites" DOI: doi.org/10.1002/adma.202108720 Dataset.zip: Data described in the main text and in the SI organised by figure number. Dataset are provided in .xy, .csv, .data and Excel (*.xlsx) file format. Figures.zip: figures described in the main text and in the SI in .png and .pdf readme.txt: replication packages information

Structural, optoelectronic, and supplementary characterization data for "Reversible Pressure-Dependent Mechanochromism of Dion–Jacobson and Ruddlesden–Popper Layered Hybrid Perovskites" DOI: doi.org/10.1002/adma.202108720 Dataset.zip: Data described in the main text and in the SI organised by figure number. Dataset are provided in .xy, .csv, .data and Excel (*.xlsx) file format. Figures.zip: figures described in the main text and in the SI in .png and .pdf readme.txt: replication packages information

Structural, optoelectronic, and supplementary characterization data for “Reversible Pressure-Dependent Mechanochromism of Dion–Jacobson and Ruddlesden–Popper Layered Hybrid Perovskites”, DOI:10.1002/adma.202108720. Dataset.zip: Data described in the Figures of the main text and Supporting Information as .xy, .data, .csv, .xlsx, and .asc files Figures.zip: Figures provided in the main text and Supporting Information as .pdf and .png files.

Structural, optoelectronic, and supplementary characterization data for “Reversible Pressure-Dependent Mechanochromism of Dion–Jacobson and Ruddlesden–Popper Layered Hybrid Perovskites”, DOI:10.1002/adma.202108720. Dataset.zip: Data described in the Figures of the main text and Supporting Information as .xy, .data, .csv, .xlsx, and .asc files Figures.zip: Figures provided in the main text and Supporting Information as .pdf and .png files.