Visualizing macroscopic inhomogeneities in perovskite solar cells

This contains all data used in the paper: ACS Energy Lett. 2022, 7, 7, 2311–2322, DOI: https://doi.org/10.1021/acsenergylett.2c01094. Data has been sorted into raw and processed, and organised by which figure they appear in. Arrays require Python and the numpy package to load (np.load('filename...

Full description

Bibliographic Details
Main Authors: Dasgupta, A, Mahesh, S, Caprioglio, P, Lin, Y, Zaininger, K, Oliver, R D J, Holzhey, P, Zhou, S, McCarthy, M M, Smith, J A, Frenzel, M, Christoforo, M G, Ball, J M, Wenger, B, Snaith, H J
Format: Dataset
Language:English
Published: University of Oxford 2022
Subjects:
Description
Summary:This contains all data used in the paper: ACS Energy Lett. 2022, 7, 7, 2311–2322, DOI: https://doi.org/10.1021/acsenergylett.2c01094. Data has been sorted into raw and processed, and organised by which figure they appear in. Arrays require Python and the numpy package to load (np.load('filename.npy')). All other data is in text format of some form, easily openable. Some plots require Origin labs to open, but no data in these files are inaccessible from the txt files/ csvs etc.