Benchmarking self-driving labs
This review summarizes the ways in which researchers have benchmarked optimization using self-driving labs and provides heuristic simulations to contextualize common metrics such as enhancement factor and acceleration factor.
Authors
- Keith A. Brown (ORCID: https://orcid.org/0000-0002-2379-2018)
- Adedire D. Adesiji (ORCID: https://orcid.org/0000-0001-8973-5748)
- Jiashuo Wang
- Chin-Cheng Kuo
Institutions
- Boston University (US)
Publication Details
- Journal
- Digital Discovery
- Published
- 2025-10-09
- DOI
- https://doi.org/10.1039/d5dd00337g
- Citations
- 2
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 3.39
Funders
- National Science Foundation
- Division of Materials Research
- Army Research Office