Self-Optimizing Flow Reactions for Sustainability: An Experimental Bayesian Optimization Study-Reference-Cited by-同舟云学术

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Self-Optimizing Flow Reactions for Sustainability: An Experimental Bayesian Optimization Study

Published:2024-06-19 Issue:26 Volume:12 Page:10002-10010
ISSN:2168-0485
Container-title:ACS Sustainable Chemistry & Engineering
language:en
Short-container-title:ACS Sustainable Chem. Eng.

Author:

Wagner Florian L.¹²,Sagmeister Peter¹²,Tampone Thomas G.³,Manee Vidhyadhar³,Yerkozhanov Dauzhan³^ORCID,Buono Frederic G.³^ORCID,Williams Jason D.¹²^ORCID,Kappe C. Oliver¹²^ORCID

Affiliation:

1. Center for Continuous Flow Synthesis and Processing (CCFLOW), Research Center Pharmaceutical Engineering GmbH (RCPE), Inffeldgasse 13, 8010 Graz, Austria

2. Institute of Chemistry, University of Graz, NAWI Graz, Heinrichstrasse 28, 8010 Graz, Austria

3. Chemical Development US, Boehringer Ingelheim Pharmaceuticals Inc., 900 Ridgebury Road, Ridgefield, Connecticut 06877, United States

Funder

??sterreichische Forschungsf??rderungsgesellschaft

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acssuschemeng.4c03253

Reference50 articles.

1. A Brief Introduction to Chemical Reaction Optimization

2. Experimental design in chemistry: A tutorial

3. Design of Experiments (DoE) and Process Optimization. A Review of Recent Publications

4. Automated Experimentation Powers Data Science in Chemistry

5. Ultrahigh-Throughput Experimentation for Information-Rich Chemical Synthesis

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