Can a computer “learn” nonlinear chromatography?: Physics-based deep neural networks for simulation and optimization of chromatographic processes
Journal of Chromatography A(2022)
Abstract
•Physics-based artificial neural network for simulation of non-linear chromatography.•ANN learns column dynamics from limited training data and physics of chromatography.•Prediction of elution curves for 4 different systems of generalized Langmuir isotherm.•ANN allows for rapid optimization for touching-band separations.
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Key words
Preparative chromatography,Process modelling,Simulation,Artificial neural networks,Machine learning,Optimization
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