General data management workflow to process tabular data in automated and high-throughput heterogeneous catalysis research
Standardized data management is enabled by a Python library to query, merge and process data files and combine them into a dataset with a focus on automated high-throughput heterogeneous catalysis R&D and accessing an electronic laboratory notebook.
Authors
- Hannes Frey (ORCID: https://orcid.org/0000-0001-7011-3615)
- Yuhui Hou (ORCID: https://orcid.org/0000-0003-1616-562X)
- Caterina Barillari (ORCID: https://orcid.org/0000-0001-7590-8767)
- Stefan Preiss
- Erwin Lam (ORCID: https://orcid.org/0000-0002-8641-7928)
- Paco Laveille (ORCID: https://orcid.org/0000-0002-2687-0093)
- Tanguy Maury
Institutions
- ETH Zurich (CH)
Publication Details
- Journal
- Digital Discovery
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d4dd00350k
- Citations
- 2
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 8.34
Funders
- Board of the Swiss Federal Institutes of Technology