Published November 9, 2023 | Version 1.0
Publication Open

A bridge between trust and control: Computational workflows meet automated battery cycling

  • 1. ROR icon Swiss Federal Laboratories for Materials Science and Technology
  • 2. ROR icon Technische Universität Berlin
  • 3. ROR icon Paul Scherrer Institute
  • 4. ROR icon École Polytechnique Fédérale de Lausanne
  • 5. ROR icon 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:

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aiida_aurora_si_v07.pdf

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Additional details

Funding

BIG-MAP – Battery Interface Genome - Materials Acceleration Platform 957189
European Commission
Dielectric properties and electrical conductivity as predictors of catalytic selectivity 490703766
Deutsche Forschungsgemeinschaft