TY - DATA T1 - Data underlying the article: Numerical Model to Simulate Electrochemical Charging of Nanocrystal Films PY - 2023/09/19 AU - Reinout Ubbink AU - Solrun Gudjonsdottir AU - Yan Vogel AU - Arjan Houtepen UR - DO - 10.4121/22ae9467-3757-4f18-b245-8b8878f434c0.v1 KW - Drift-diffusion KW - ZnO KW - quantum dots KW - semiconductor nanocrystals KW - electrochemistry KW - doping N2 -

This dataset contains the data underlying the article "Numerical Model to Simulate Electrochemical Charging of Nanocrystal Films". In this article, drift-diffusion simulations are performed of the electrochemical charging of quantum dot films, with the aim of obtaining a deeper understanding of the underlying processes of electrochemical doping. The results of these simulations are then compared to experimental electrochemical data. Most of the data in this dataset are raw .csv files which were directly outputted by the simulator. In addition, some experimental data is included, which was obtained earlier in electrochemical experiments. Data are either cyclic voltammograms or states obtained during the simulations (containing the concentration and potential profiles at a certain moment in time). For convenience in the interpretation of this data, python scripts have been included that can be used to convert the raw data into the graphics used in the article. The simulator program itself and accompanying instructions are available via github (follow the link below or the link in the article itself).

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