Shaping the Future of Self-Driving Autonomous Laboratories Workshop Article Swipe
Rafael Ferreira da Silva
,
R. G. Moore
,
Ben Mintz
,
Rigoberto C. Advíncula
,
Anees Al‐Najjar
,
Luke A. Baldwin
,
Craig A. Bridges
,
Ryan Coffee
,
Ewa Deelman
,
Christian Engelmann
,
Brian D. Etz
,
Millicent A. Firestone
,
Ian Foster
,
Panchapakesan Ganesh
,
Leslie Hamilton
,
Dale L. Huber
,
Ilia N. Ivanov
,
Shantenu Jha
,
Ying Li
,
Yongtao Liu
,
Jay Lofstead
,
Anirban Mandal
,
Héctor Martín
,
Theresa Mayer
,
Marshall McDonnell
,
Vijayakumar Murugesan
,
Sal Nimer
,
Nageswara S. V. Rao
,
Martin Seifrid
,
Mitra L. Taheri
,
Michela Taufer
,
Konstantinos D. Vogiatzis
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.2172/2481197
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.2172/2481197
The "Shaping the Future of Self-Driving Autonomous Laboratories" workshop, held in Denver on November 7-8, 2024, brought together leading experts from materials science and computing to address the growing need to revolutionize scientific research through AI-driven autonomous laboratories. The workshop identified critical challenges, including the integration of heterogeneous data, development of AI systems that understand fundamental physical principles, and comprehensive safety protocols. Key recommendations emerged around developing universal laboratory equipment interfaces, implementing automated metadata collection systems, and creating hybrid AI approaches that combine data-driven learning with scientific principles. The workshop emphasized maintaining human oversight while leveraging automation, transforming scientific education to prepare the next generation of researchers, and establishing a national consortium leveraging DOE facilities as anchors for broader collaboration with academia and industry. Participants stressed the urgency of addressing the growing disconnect between human decision-making timescales and modern instrumentation capabilities, highlighting the need for strategic automation while preserving essential human insight and oversight in the research process.
Related Topics
Metadata
- Type
- report
- Language
- en
- Landing Page
- https://doi.org/10.2172/2481197
- OA Status
- green
- Cited By
- 2
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4405413097
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4405413097Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.2172/2481197Digital Object Identifier
- Title
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Shaping the Future of Self-Driving Autonomous Laboratories WorkshopWork title
- Type
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reportOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
-
2024-11-07Full publication date if available
- Authors
-
Rafael Ferreira da Silva, R. G. Moore, Ben Mintz, Rigoberto C. Advíncula, Anees Al‐Najjar, Luke A. Baldwin, Craig A. Bridges, Ryan Coffee, Ewa Deelman, Christian Engelmann, Brian D. Etz, Millicent A. Firestone, Ian Foster, Panchapakesan Ganesh, Leslie Hamilton, Dale L. Huber, Ilia N. Ivanov, Shantenu Jha, Ying Li, Yongtao Liu, Jay Lofstead, Anirban Mandal, Héctor Martín, Theresa Mayer, Marshall McDonnell, Vijayakumar Murugesan, Sal Nimer, Nageswara S. V. Rao, Martin Seifrid, Mitra L. Taheri, Michela Taufer, Konstantinos D. VogiatzisList of authors in order
- Landing page
-
https://doi.org/10.2172/2481197Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.osti.gov/biblio/2481197Direct OA link when available
- Concepts
-
Self driving, Computer science, Engineering, Transport engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2Per-year citation counts (last 5 years)
- References (count)
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30Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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