The future of self-driving laboratories: from human in the loop interactive AI to gamification
Open accessPublished version of a preprint
Abstract
Self-driving laboratories (SDLs) are the future for scientific discovery in a world growing with artificial intelligence. The interaction between scientists and automated instrumentation are leading conversations about the impact of SDLs on research.
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References 135 · Cited by 103
- Authors
- Hysmith, H., Foadian, E., Padhy, S. P., Kalinin, S. V., Moore, R. G., Ovchinnikova, O. S., & Ahmadi, M.
- Affiliations
- University of Tennessee at Knoxville (US)
- Pacific Northwest National Laboratory (US)
- Oak Ridge National Laboratory (US)
- Thermo Fisher Scientific (United States) (US)
- Corresponding author
- Ahmadi, Mahshid
- ORCID
- Venue
- Digital Discovery
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2024
- Volume
- 3
- Issue
- 4
- Pages
- 621-636
- ISSN
- 2635-098X (ISSN-L)
- OpenAlex
- W4392805407
- Cited by
- 103
- References
- 135
- Citations by year
- 2026: 51 · 2025: 37 · 2024: 15
- FWCI
- 15.10
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Digital Discovery (publishedVersion, cc-by)
- ChemRxiv (acceptedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- Alfred P. Sloan Foundation (FG-2022-18275)
- National Science Foundation (2043205)
- Advanced Scientific Computing Research
- Nuclear Physics
- U.S. Department of Energy (DE-AC05-00OR22725, DE-SC0021118)
- Basic Energy Sciences
- High Energy Physics
- Fusion Energy Sciences
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
- Keywords
- self-driving laboratories, automated instrumentation, interactive AI, gamification, scientific discovery, artificial intelligence in research, human-AI collaboration
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