The authors explore computer-aided workflows and machine learning, aimed at optimizing LC parameters, focusing on kinetic and thermodynamic aspects, and proposes closed-loop optimization strategies.
Tijmen S. Bos
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Articles by Tijmen S. Bos
This review examines different workflows that have been designed and used to facilitate and/or automate method development in liquid chromatography (LC).
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Approaches to Accelerate Liquid Chromatography Method Development in the Laboratory Using Chemometrics and Machine LearningPublished: December 1st 2023 | Updated:
Approaches to Accelerate LC Method Development in the Laboratory Using Chemometrics and Machine LearningPublished: June 1st 2023 | Updated:
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