MyJournals Home  

RSS Feeds[ASAP] Data-Driven Optimization of an Industrial Batch Polymerization Process Using the Design of Dynamic Experiments Methodology (Industrial & Engineering Chemistry Research)

 
 

5 august 2020 22:40:42

 
[ASAP] Data-Driven Optimization of an Industrial Batch Polymerization Process Using the Design of Dynamic Experiments Methodology (Industrial & Engineering Chemistry Research)
 


Industrial & Engineering Chemistry ResearchDOI: 10.1021/acs.iecr.0c01952


 
363 viewsCategory: Chemistry
 
[ASAP] Analysis of Weighting and Selection Methods for Pareto-Optimal Solutions of Multiobjective Optimization in Chemical Engineering Applications (Industrial & Engineering Chemistry Research)
[ASAP] Highly Efficient Production of 5-Hydroxymethylfurfural from Fructose via a Bromine-Functionalized Porous Catalyst under Mild Conditions (Industrial & Engineering Chemistry Research)
 
 
blog comments powered by Disqus


MyJournals.org
The latest issues of all your favorite science journals on one page

Username:
Password:

Register | Retrieve

Search:

Chemistry


Copyright © 2008 - 2024 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Nachrichten