Autonomous Chemical Experiments: Challenges and Perspectives on Establishing a Self-Driving Lab-Reference-Cited by-同舟云学术

Autonomous Chemical Experiments: Challenges and Perspectives on Establishing a Self-Driving Lab

Published:2022-08-10 Issue:17 Volume:55 Page:2454-2466
ISSN:0001-4842
Container-title:Accounts of Chemical Research
language:en
Short-container-title:Acc. Chem. Res.

Author:

Seifrid Martin¹^ORCID,Pollice Robert¹^ORCID,Aguilar-Granda Andrés¹,Morgan Chan Zamyla¹²,Hotta Kazuhiro¹³,Ser Cher Tian¹,Vestfrid Jenya¹,Wu Tony C.¹,Aspuru-Guzik Alán¹⁴⁵⁶⁷^ORCID

Affiliation:

1. Department of Chemistry, University of Toronto, Toronto, Ontario M5S 3H6, Canada

2. Acceleration Consortium, University of Toronto, Toronto, Ontario M5S 3H6, Canada

3. Science & Innovation Center, Mitsubishi Chemical Corporation, 1000 Kamoshidacho, Aoba, Yokohama, Kanagawa 227-8502, Japan

4. Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3H6, Canada

5. Department of Chemical Engineering & Applied Chemistry, University of Toronto, Toronto, Ontario M5S 3E5, Canada

6. Department of Materials Science, University of Toronto, Toronto, Ontario M5S 3E4, Canada

7. Vector Institute for Artificial Intelligence, Toronto, Ontario M5S 1M1, Canada

Funder

National Research Council Canada

University of Toronto

Defense Advanced Research Projects Agency

Schweizerischer Nationalfonds zur F?rderung der Wissenschaftlichen Forschung

Office of Naval Research

Natural Resources Canada

Canada 150 Research Chairs program

Publisher

American Chemical Society (ACS)

Subject

General Medicine,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.accounts.2c00220

Reference80 articles.

1. ChemOS: An orchestration software to democratize autonomous discovery

2. Beyond Ternary OPV: High‐Throughput Experimentation and Self‐Driving Laboratories Optimize Multicomponent Systems

3. Data-science driven autonomous process optimization

4. Routescore: Punching the Ticket to More Efficient Materials Development

5. Next-Generation Experimentation with Self-Driving Laboratories

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