Bayesian Optimization of Computer-Proposed Multistep Synthetic Routes on an Automated Robotic Flow Platform-Reference-Cited by-同舟云学术

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Bayesian Optimization of Computer-Proposed Multistep Synthetic Routes on an Automated Robotic Flow Platform

Published:2022-06-10 Issue:6 Volume:8 Page:825-836
ISSN:2374-7943
Container-title:ACS Central Science
language:en
Short-container-title:ACS Cent. Sci.

Author:

Nambiar Anirudh M. K.¹,Breen Christopher P.²,Hart Travis¹,Kulesza Timothy¹,Jamison Timothy F.²^ORCID,Jensen Klavs F.¹^ORCID

Affiliation:

1. Department of Chemical Engineering, Massachusetts Institute of Technology,77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States

2. Department of Chemistry, Massachusetts Institute of Technology,77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States

Funder

Defense Advanced Research Projects Agency

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acscentsci.2c00207

Reference53 articles.

1. Artificial intelligence and automation in computer aided synthesis planning

2. Current and Future Roles of Artificial Intelligence in Medicinal Chemistry Synthesis

3. A remote-controlled adaptive medchem lab: an innovative approach to enable drug discovery in the 21st Century

4. Reconfigurable system for automated optimization of diverse chemical reactions

5. Organic synthesis in a modular robotic system driven by a chemical programming language

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