Machine learning‐assisted multiscale modeling of an autothermal fixed‐bed reactor for methanol to propylene process-Reference-Cited by-同舟云学术

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Machine learning‐assisted multiscale modeling of an autothermal fixed‐bed reactor for methanol to propylene process

Published:2022-11-04 Issue:4 Volume:69 Page:
ISSN:0001-1541
Container-title:AIChE Journal
language:en
Short-container-title:AIChE Journal

Author:

Huang Xun¹^ORCID,Li Xue‐Gang²³^ORCID,Xiao Wen‐De²³,Wei Zidong¹^ORCID

Affiliation:

1. School of Chemistry and Chemical Engineering Chongqing University Chongqing China

2. School of Chemistry and Chemical Engineering Shanghai Jiao Tong University Shanghai China

3. Shanghai Jiao Tong University Baotou Institute of Material Research Baotou China

Publisher

Wiley

Subject

General Chemical Engineering,Environmental Engineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aic.17945

Reference37 articles.

1. Technology development of propylene production;Li D‐P;Appl Chem Ind,2012

2. Catalytic cracking of hydrocarbons over modified ZSM-5 zeolites to produce light olefins: A review

3. A two-zone fluidized bed reactor for catalytic propane dehydrogenation

4. Dehydrogenation of Propane to Propylene over Supported Model Ni–Au Catalysts

5. Methanol conversion on SAPO-34: reaction condition for fixed-bed reactor

Cited by 4 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. Forecasting methanol-to-olefins product yields based on Relevance Vector Machine with hybrid kernel and rolling-windows;Chemical Engineering Science;2025-01

2. A study of methanol‐to‐olefins packed bed reactor performance using particle‐resolved CFD and machine learning;AIChE Journal;2024-07-15

3. Global reaction neural networks with embedded stoichiometry and thermodynamics for learning kinetics from reactor data;Chemical Engineering Journal;2024-04

4. Efficient neural network models of chemical kinetics using a latent asinh rate transformation;Reaction Chemistry & Engineering;2023

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