Can a Computer “Learn” Nonlinear Chromatography?: Experimental Validation of Physics-Based Deep Neural Networks for the Simulation of Chromatographic Processes
Author:
Affiliation:
1. Department of Chemical and Materials Engineering, Donadeo Innovation Centre for Engineering (ICE), University of Alberta, 9211-116 Street, 12th floor, Edmonton, Alberta T6G1H9, Canada
Funder
University of Alberta
Canada First Research Excellence Fund
Natural Sciences and Engineering Research Council of Canada
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.2c04355
Reference40 articles.
1. Preparative liquid chromatography
2. Chromatographic Processes
3. Preparative Chromatography
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