Published November 7, 2023
| Version 0.1
Publication
Open
A bridge between trust and control: Computational workflows meet automated battery cycling
Authors/Creators
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1.
Swiss Federal Laboratories for Materials Science and Technology
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2.
Technische Universität Berlin
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3.
Paul Scherrer Institute
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4.
École Polytechnique Fédérale de Lausanne
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5.
ETH Zurich
Description
Electronic Supplementary Information
This is the supporting information archive for the above manuscript. The archive contains the following items:
- A pdf file, containing supplementary figures for the manuscript, including further screenshots, plotted data, and automatically generated provenance graphs.
- A set of csv files, containing the outputs of the robotic battery assembly component of Aurora for the cell batches studied in this work, including electrode diameters, weights, and specific capacities.
- A set of videos showing the installation and user interaction with the AiiDAlab-Aurora user interface can be found on the BIG-MAP App Store page of AiiDAlab-Aurora.
- The cell cycling data exported from AiiDA, as well as the raw data files from EC-Lab, can be found on Materials Cloud Archive under DOI: https://doi.org/10.24435/materialscloud:qh-gt
Files
230511_robot_output.csv
Additional details
Related works
- Is supplemented by
- Dataset: 10.24435/materialscloud:qh-gt (DOI)