Prediction of Chromatography Conditions for Purification in Organic Synthesis Using Deep Learning

Prediction of Chromatography Conditions for Purification in Organic Synthesis Using Deep Learning

In this research, a process for developing normal-phase liquid chromatography solvent systems has been proposed. In contrast to the development of conditions via thin-layer chromatography (TLC), this process is based on the architecture of two hierarchically connected neural network-based components...

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Bibliographic Details
Main Authors: Mantas Vaškevičius, Jurgita Kapočiūtė-Dzikienė, Liudas Šlepikas
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Molecules
Subjects:
deep learning
chromatography
neural networks
machine learning
solvent prediction
organic synthesis
Online Access:https://www.mdpi.com/1420-3049/26/9/2474

Internet

https://www.mdpi.com/1420-3049/26/9/2474

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