Self-Driving Laboratories for Chemistry and Materials Science
Tom G, Schmid SP, Baird SG, Cao Y, Darvish K, Hao H, Lo S, Pablo-García S, Rajaonson EM, Skreta M, Yoshikawa N, Corapi S, Akkoc GD, Strieth-Kalthoff F, Seifrid M, Aspuru-Guzik A (2024)
Publication Type: Journal article, Review article
Publication year: 2024
Journal
DOI: 10.1021/acs.chemrev.4c00055
Abstract
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.
Involved external institutions
University of Toronto
Canada (CA)
Eidgenössische Technische Hochschule Zürich (ETHZ) / Swiss Federal Institute of Technology in Zurich
Switzerland (CH)
Acceleration Consortium
Canada (CA)
Forschungszentrum Jülich / Research Centre Jülich (FZJ)
Germany (DE)
Canada (CA)
Eidgenössische Technische Hochschule Zürich (ETHZ) / Swiss Federal Institute of Technology in Zurich
Switzerland (CH)
Acceleration Consortium
Canada (CA)
Forschungszentrum Jülich / Research Centre Jülich (FZJ)
Germany (DE)
How to cite
APA:
Tom, G., Schmid, S.P., Baird, S.G., Cao, Y., Darvish, K., Hao, H.,... Aspuru-Guzik, A. (2024). Self-Driving Laboratories for Chemistry and Materials Science. Chemical Reviews. https://doi.org/10.1021/acs.chemrev.4c00055
MLA:
Tom, Gary, et al. "Self-Driving Laboratories for Chemistry and Materials Science." Chemical Reviews (2024).
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