Self-Driving Laboratories for Chemistry and Materials Science

Self-driving laboratories (SDLs) promise an accelerated application of the scientific method. Through the automation of experimental workflows, along with autonomous experimental planning, SDLs hold the potential to greatly accelerate research in chemistry and materials discovery. This review provid...

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Veröffentlicht in:Chemical reviews 2024-08, Vol.124 (16), p.9633-9732
Hauptverfasser: Tom, Gary, Schmid, Stefan P., Baird, Sterling G., Cao, Yang, Darvish, Kourosh, Hao, Han, Lo, Stanley, Pablo-García, Sergio, Rajaonson, Ella M., Skreta, Marta, Yoshikawa, Naruki, Corapi, Samantha, Akkoc, Gun Deniz, Strieth-Kalthoff, Felix, Seifrid, Martin, Aspuru-Guzik, Alán
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container_end_page 9732
container_issue 16
container_start_page 9633
container_title Chemical reviews
container_volume 124
creator Tom, Gary
Schmid, Stefan P.
Baird, Sterling G.
Cao, Yang
Darvish, Kourosh
Hao, Han
Lo, Stanley
Pablo-García, Sergio
Rajaonson, Ella M.
Skreta, Marta
Yoshikawa, Naruki
Corapi, Samantha
Akkoc, Gun Deniz
Strieth-Kalthoff, Felix
Seifrid, Martin
Aspuru-Guzik, Alán
description Self-driving laboratories (SDLs) promise an accelerated application of the scientific method. Through the automation of experimental workflows, along with autonomous experimental planning, SDLs hold the potential to greatly accelerate research in chemistry and materials discovery. This review provides an in-depth analysis of the state-of-the-art in SDL technology, its applications across various scientific disciplines, and the potential implications for research and industry. This review additionally provides an overview of the enabling technologies for SDLs, including their hardware, software, and integration with laboratory infrastructure. Most importantly, this review explores the diverse range of scientific domains where SDLs have made significant contributions, from drug discovery and materials science to genomics and chemistry. We provide a comprehensive review of existing real-world examples of SDLs, their different levels of automation, and the challenges and limitations associated with each domain.
doi_str_mv 10.1021/acs.chemrev.4c00055
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drugs
industry
infrastructure
title Self-Driving Laboratories for Chemistry and Materials Science
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