cff-version: 1.2.0
abstract: "<p>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).</p>"
authors:
  - family-names: Ubbink
    given-names: Reinout
    orcid: "https://orcid.org/0000-0001-7714-5097"
  - family-names: Gudjonsdottir
    given-names: Solrun
  - family-names: Vogel
    given-names: Yan
    orcid: "https://orcid.org/0000-0003-1975-7292"
  - family-names: Houtepen
    given-names: Arjan
    orcid: "https://orcid.org/0000-0001-8328-443X"
title: "Data underlying the article: Numerical Model to Simulate Electrochemical Charging of Nanocrystal Films"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/22ae9467-3757-4f18-b245-8b8878f434c0.v1
license: CC BY-NC-SA 4.0
date-released: 2023-09-19