Publications

Following only a selection of research articles is presented, where a complete list can be found on my Google Scholar profile.

In addition references and links to software packages and datasets are shown which play an important part in modern research and often do not receive as much attention as a Journal Article (at least in some research areas such as chemistry). A more complete list of contributions to software and websites can be found in my GitHub repository or the echemdb organization.

Research Articles¶

• Leist et al., Nature Catalysis (2026), “Consequences of Overtones in Raman Spectra for Assigning Nickel Anode Surface Structures as NiO₂ during Alkaline Electrolysis” (preprint)

• Forschner et al., Journal of Physics D: Applied Physics, 59 (2026) 115203, “Characterization of Discharge Types during Cathodic Plasma Electrolysis” (preprint)

• Forschner et al., Journal of Physics D: Applied Physics, 58 (2025) 215204, “Statistical Analysis of the Dynamic Behavior of Individual Discharges During the Ignition and Continuous Phases of Contact Glow Discharge Electrolysis” (preprint)

• Engstfeld et al., Data Science Journal, 24 (2025) 1–13, “A Lightweight File System Based Approach to Getting Data Ready for Data Management Solutions” (preprint)

• Engstfeld et al., ChemCatChem, 16 (2024) e202400271, “Impact of the Potential Dependent Surface Adlayer Composition on the ORR Activity and H₂O₂ Formation on Ru(0001) in Acid Electrolytes” (preprint)

• Forschner et al., Journal of Physical Chemistry C, 127 (2023) 4387, “Electric Potential Distribution Inside the Electrolyte During High Voltage Electrolysis” (preprint)

• Artmann et al., ChemPhysChem, 22 (2021) 2429, “Structural Evolution of Pt, Au and Cu Anodes by Electrolysis up to Contact Glow Discharge Electrolysis in Alkaline Electrolytes”

Software & Websites¶

• echemdb website provides an overview of echemdb’s activities and contains a database for electrochemical cyclic voltammetry data (Engstfeld et al. (2022))

• unitpackage is a Python API to interact with frictionless datapackages, used for example in the creation of the echemdb website (Engstfeld et al. (2023))

• svgdigitizer is a Python library and command line tool to recover the measured data underlying plots in scientific publications (Engstfeld et al. (2022))

Datasets¶

Datasets associated with published research articles are archived on Zenodo and/or Github:

• Forschner et al. (2026), “Characterization of Discharge Types during Cathodic Plasma Electrolysis”

• Forschner et al. (2025), “Statistical Analysis of the Dynamic Behavior of Individual Discharges During the Ignition and Continuous Phases of Contact Glow Discharge Electrolysis”

• Engstfeld et al. (2025), “Stabilization of Ru-Core Pt-Shell Model Electrodes by Electronic Effects and Electrooxidation Reactions”

• Heubach et al. (2024), “Reproducibility of Electrochemical Measurements with Ionic Liquids: Role of Supplied Batches, Water and Adventitious Oxygen”

• Engstfeld et al. (2024), “Impact of the Potential Dependent Surface Adlayer Composition on the ORR Activity and H₂O₂ Formation on Ru(0001) in Acid Electrolytes”

• Bogenrieder et al. (2024), “First Principles Study on the Structural and Magnetic Properties of Low-Index Cu₂O and CuO Surfaces”