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DOE OSTI · 2586821

Science acceleration and accessibility with self-driving labs

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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BibTeXRIS

Canty, Richard B. [North Carolina State University, Raleigh, NC (United States)] (ORCID:0000000223472743), Bennett, Jeffrey A. [North Carolina State University, Raleigh, NC (United States)], Brown, Keith A. [Boston University, MA (United States)] (ORCID:0000000223792018), Buonassisi, Tonio [Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)], Kalinin, Sergei V. [University of Tennessee, Knoxville, TN (United States)] (ORCID:0000000153546152), Kitchin, John R. [Carnegie Mellon University, Pittsburgh, PA (United States)] (ORCID:0000000326259232), Maruyama, Benji [Air Force Institute of Technology, Wright-Patterson AFB, OH (United States)], Moore II, Robert G. [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000216085411), Schrier, Joshua [Fordham University, New York, NY (United States)] (ORCID:0000000220711657), Seifrid, Martin [North Carolina State University, Raleigh, NC (United States)] (ORCID:0000000152380058), Sun, Shijing [University of Washington, Seattle, WA (United States)] (ORCID:0000000261791390), Vegge, Tejs [Technical University of Denmark, Lyngby (Denmark)] (ORCID:0000000214840284), Abolhasani, Milad [North Carolina State University, Raleigh, NC (United States)] (ORCID:0000000288633085). 2025-04-24. Science acceleration and accessibility with self-driving labs. https://doi.org/10.1038/s41467-025-59231-1

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