Published November 9, 2023
| Version 1.0
Publication
Open
A bridge between trust and control: Computational workflows meet automated battery cycling
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, available as a preprint under DOI:10.26434/chemrxiv-2023-4vs5w. This archive contains the following items:
- A pdf file, containing supplementary figures for the manuscript, including further screenshots, plotted data, and automatically generated provenance graphs.
Further components of the supplementary information are:
- 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, the cell assembly robot outputs, as well as the raw data files from EC-Lab, can be found on Materials Cloud Archive under DOI:10.24435/materialscloud:qh-gt
- The software stack components developed for this work are:
- aiidalab-aurora version 0.11.1, see GitHub release
- aiida-aurora version 0.4.4, see GitHub tag
- tomato version 0.2, see GitHub release
Files
aiida_aurora_si_v07.pdf
Files
(494.9 kB)
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md5:9b8bbe1a599259ce55d799de49e35cf7
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Additional details
Related works
- Is supplement to
- Preprint: 10.26434/chemrxiv-2023-4vs5w (DOI)
- Is supplemented by
- Dataset: 10.24435/materialscloud:qh-gt (DOI)
- References
- Software: https://github.com/dgbowl/tomato/releases/tag/0.2 (Other)
- Software: https://github.com/epfl-theos/aiida-aurora/releases/tag/0.4.4 (Other)
- Software: https://github.com/epfl-theos/aiidalab-aurora/releases/tag/0.11.1 (Other)