Self-optimizing Bayesian for continuous flow synthesis process-Reference-Cited by-同舟云学术

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Self-optimizing Bayesian for continuous flow synthesis process

Published:2024 Issue: Volume: Page:
ISSN:2635-098X
Container-title:Digital Discovery
language:en
Short-container-title:Digital Discovery

Author:

Liu Runzhe¹^ORCID,Wang Zihao²^ORCID,Yang Wenbo¹^ORCID,Cao Jinzhe¹^ORCID,Tao Shengyang¹^ORCID

Affiliation:

1. School of Chemistry, State Key Laboratory of Fine Chemicals, Frontier Science Center for Smart Materials, Dalian Key Laboratory of Intelligent Chemistry, Dalian University of Technology, Dalian, 116024, China

2. Faculty of Information, Beijing University of Technology, Beijing, 100124, China

Abstract

A Bayesian algorithm with self-optimizing capabilities, tailored for process optimization in continuous flow synthesis with small datasets enhancing efficiency.

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Dalian High-Level Talent Innovation Program

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/DD/D4DD00223G

Reference41 articles.

1. Polymer Synthesis in Continuous Flow Reactors

2. An Easy-to-Machine Electrochemical Flow Microreactor: Efficient Synthesis of Isoindolinone and Flow Functionalization

3. Synthesis of proteins by automated flow chemistry

4. The assembly and use of continuous flow systems for chemical synthesis

5. Continuous flow reactions in the preparation of active pharmaceutical ingredients and fine chemicals

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