Development of hybrid (AI/first principle) models for the optimization of styrene polymerization processes-Reference-Cited by-同舟云学术

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Development of hybrid (AI/first principle) models for the optimization of styrene polymerization processes

Published:2024-05 Issue: Volume:290 Page:119875
ISSN:0009-2509
Container-title:Chemical Engineering Science
language:en
Short-container-title:Chemical Engineering Science

Author:

Maffi J.M.,Sosa J.,Estenoz D.A.

Publisher

Elsevier BV

Reference28 articles.

1. Machine-learning-based predictions of polymer and postconsumer recycled polymer properties: a comprehensive review;Andraju;ACS Appl Mater Interfaces,2022

2. Arkema Inc., 2004. Organic Peroxides General Catalog • Americas. Philadelphia.

3. Multi-objective optimization for building retrofit: A model using genetic algorithm and artificial neural network and an application;Asadi;Energy Build,2014

4. Machine Learning for industrial applications: a comprehensive literature review;Bertolini;Expert Syst Appl,2021

5. Machine learning for molecular and materials science;Butler;Nature,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Intelligent Soft Measurement of Catalyst Activity during a Polyethylene Reaction Based on Mechanistic Modeling and Deep Learning;Industrial & Engineering Chemistry Research;2024-06-17

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