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; Milad Abolhasani

doi:10.1038/s41467-025-59231-1

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, Milad Abolhasani^*

^*Corresponding author for this work

Research output: Contribution to journal › Journal article › Research › peer-review

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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.

Original language	English
Article number	3856
Journal	Nature Communications
Volume	16
Issue number	1
Number of pages	11
ISSN	2041-1723
DOIs	https://doi.org/10.1038/s41467-025-59231-1
Publication status	Published - 2025

Keywords

Automobile Driving
Cooperative Behavior
Humans
Laboratories

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10.1038/s41467-025-59231-1Licence: CC BY-NC-ND

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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.",

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AU - Bennett, Jeffrey A.

AU - Brown, Keith A.

AU - Buonassisi, Tonio

AU - Kalinin, Sergei V.

AU - Kitchin, John R.

AU - Maruyama, Benji

AU - Moore, Robert G.

AU - Schrier, Joshua

AU - Seifrid, Martin

AU - Sun, Shijing

AU - Vegge, Tejs

AU - Abolhasani, Milad

PY - 2025

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KW - Automobile Driving

KW - Cooperative Behavior

KW - Humans

KW - Laboratories

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JO - Nature Communications

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Science acceleration and accessibility with self-driving labs

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