Dynamic data-driven models for complex pharmaceutical reactions — the dynamic response surface methodology-Reference-Cited by-同舟云学术

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Dynamic data-driven models for complex pharmaceutical reactions — the dynamic response surface methodology

Published:2024-09 Issue: Volume:45 Page:101045
ISSN:2211-3398
Container-title:Current Opinion in Chemical Engineering
language:en
Short-container-title:Current Opinion in Chemical Engineering

Author:

Georgakis Christos^ORCID

Publisher

Elsevier BV

Reference21 articles.

1. Design and Analysis of Experiments;Montgomery,2020

2. Design of dynamic experiments: a data-driven methodology for the optimization of time-varying processes;Georgakis;Ind Eng Chem Res,2013

3. Dynamic response surface models: a data-driven approach for the analysis of time-varying process outputs;Klebanov;Ind Eng Chem Res,2016

4. New dynamic response surface methodology for modeling nonlinear processes over semi-infinite time horizons;Wang;Ind Eng Chem Res,2017

5. Dynamic response surface methodology using Lasso regression for organic pharmaceutical synthesis;Dong;Front Chem Sci Eng,2022

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