Science acceleration and accessibility with self-driving labs

Richard B. Canty, Jeffrey A. Bennett, Keith A. Brown, Tonio Buonassisi, Sergei V. Kalinin, John R. Kitchin, Benji Maruyama, Robert G. Moore, Joshua Schrier, Martin Seifrid, Shijing Sun, Tejs Vegge and Milad Abolhasani ()
Additional contact information
Richard B. Canty: North Carolina State University
Jeffrey A. Bennett: North Carolina State University
Keith A. Brown: Boston University
Tonio Buonassisi: Massachusetts Institute of Technology
Sergei V. Kalinin: The University of Tennessee
John R. Kitchin: Carnegie Mellon University
Benji Maruyama: Materials and Manufacturing Directorate
Robert G. Moore: Oak Ridge National Laboratory
Joshua Schrier: Fordham University
Martin Seifrid: North Carolina State University
Shijing Sun: University of Washington
Tejs Vegge: Technical University of Denmark
Milad Abolhasani: North Carolina State University

Nature Communications, 2025, vol. 16, issue 1, 1-11

Abstract: Abstract In the evolving landscape of scientific research, the complexity of global challenges demands innovative approaches to experimental planning and execution. Self-Driving Laboratories (SDLs) automate experimental tasks in chemical and materials sciences and the design and selection of experiments to optimize research processes and reduce material usage. This perspective explores improving access to SDLs via centralized facilities and distributed networks. We discuss the technical and collaborative challenges in realizing SDLs’ potential to enhance human–machine and human–human collaboration, ultimately fostering a more inclusive research community and facilitating previously untenable research projects.

Date: 2025
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DOI: 10.1038/s41467-025-59231-1

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