Molecular-Based Bayesian Regression Model of Petroleum Fractions-Reference-Cited by-同舟云学术

Molecular-Based Bayesian Regression Model of Petroleum Fractions

Published:2017-12-05 Issue:50 Volume:56 Page:14865-14872
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Mei Hua¹²^ORCID,Wang Zhenlei¹,Huang Biao²^ORCID

Affiliation:

1. Key Laboratory of Advanced Control and Optimization for Chemical Processes of the Ministry of Education, East China University of Science and Technology, Shanghai 200237, China

2. Department of Chemical & Materials Engineering, University of Alberta, Edmonton, Alberta T6G 1H9, Canada

Funder

Natural Science Foundation of Shanghai

China Scholarship Council

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.7b02905

Reference20 articles.

1. Molecular reconstruction of naphtha steam cracking feedstocks based on commercial indices

2. Monte carlo simulation of complex reaction systems: molecular structure and reactivity in modelling heavy oils

3. Molecular representation of complex hydrocarbon feedstocks through efficient characterization and stochastic algorithms

4. Characterizing Hydrocarbon Plus Fractions

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