Emerging trends in the optimization of organic synthesis through high-throughput tools and machine learning

Emerging trends in the optimization of organic synthesis through high-throughput tools and machine learning

The discovery of the optimal conditions for chemical reactions is a labor-intensive, time-consuming task that requires exploring a high-dimensional parametric space. Historically, the optimization of chemical reactions has been performed by manual experimentation guided by human intuition and throug...

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Bibliographic Details
Main Authors: Pablo Quijano Velasco, Kedar Hippalgaonkar, Balamurugan Ramalingam
Format: Article
Language:English
Published: Beilstein-Institut 2025-01-01
Series:Beilstein Journal of Organic Chemistry
Subjects:
autonomous reactors
data processing
high-throughput experimentation
machine learning
reaction optimization
Online Access:https://doi.org/10.3762/bjoc.21.3
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