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

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