Data and Analysis Code for "Statistical Convergence and Uncertainty in Electrocatalytic Benchmarking of Ir and Ru Oxygen Evolution Catalysts
收藏资源简介:
**Data and Analysis Code for "Statistical Convergence and Uncertainty in Electrocatalytic Benchmarking of Ir and Ru Oxygen Evolution Catalysts"** **Overview** This repository contains the experimental data, processed datasets, analysis scripts, and figure-generation code associated with the research article: **Statistical Convergence and Uncertainty in Electrocatalytic Benchmarking of Ir and Ru Oxygen Evolution Catalysts** Jonas Forner, Gustav K. H. Wiberg, Samia Kausar, Annabelle Maletzko, Julia Melke, Matthias Arenz\* Article DOI: 10.1021/acscatal.6c03803 The archived publication version of this repository is available from Zenodo: Dataset DOI: 10.5281/zenodo.21594244 **Description** This study investigated the electrochemical oxygen evolution reaction activity and stability of iridium- and ruthenium based electrocatalysts. The repository contains the data and analysis procedures used to evaluate the electrochemical measurements, including statistical analysis across multiple working electrodes and synthesis batches. The deposited materials include: - raw experimental data; - processed electrochemical datasets; - sample and measurement metadata; - Python analysis scripts; - Jupyter notebooks; - numerical data underlying the publication figures **Repository Structure** . ├── data_raw/ │ ├── ATS-JF059/ │ ├── ATS-JF060/ │ ├── ATS-JF061/ │ ├── ATS-JF062/ │ ├── ATS-JF063/ │ ├── ATS-JF064/ │ ├── Plating Validation/ │ ├── TEM/ │ ├── XRD/ │ ├── data_treated/ │ ├── ATS-JF059/ │ ├── ATS-JF060/ │ ├── ATS-JF061/ │ ├── ATS-JF062/ │ ├── ATS-JF063/ │ ├── ATS-JF064/ │ ├── notebooks_exploration_cleaning/ │ ├── Ir Ru comparison/ │ ├── PCB Plating/ │ ├── py_scripts/ │ ├── EC4py/ │ ├── requirements.txt ├── CITATION.cff └── README.md **data_raw** Contains the original or minimally processed experimental files exported from the measurement instruments. The raw data are organised by synthesis batch. Original filenames were retained where practical to preserve traceability. **data_treated** Contains csv data generated from the raw measurements. Processed values include, where applicable: - current density as a function of potential; - activity at selected potentials; - overpotential at selected current densities; - capacitance-related quantities; - activity retention; - means, standard deviations, confidence intervals, and other statistical quantities. **notebooks_exploration_cleaning** Contains all notebooks used for data analysis, processing, and figure generation. **py_scripts** Contains the Python functions and scripts used for data import, processing, statistical analysis, and visualisation. **Sample Naming** Samples were identified using internal synthesis and measurement identifiers. Examples include: - ATS-JF###: catalyst synthesis or sample identifier; - MWE-JF###: multi-working-electrode measurement identifier; - c1 to c10: electrochemical cycle number; - s1, s2, etc.: individual sample electrodes; - b1, b2, etc.: blank or reference electrodes. **Contact** **Jonas Forner** Department of Chemistry, Biochemistry and Pharmaceutical Sciences University of Bern Bern, Switzerland Email: <Jonas.forner@unibe.ch> ORCID: 0009-0008-1736-961X Questions regarding the dataset, analysis, or reproducibility should be directed to the corresponding author or dataset contact listed above.



