Machine Learning for Physicochemical Property Prediction of Complex Hydrocarbon Mixtures-Reference-Cited by-同舟云学术

Machine Learning for Physicochemical Property Prediction of Complex Hydrocarbon Mixtures

Published:2022-04-25 Issue:24 Volume:61 Page:8581-8594
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Dobbelaere Maarten R.¹^ORCID,Ureel Yannick¹^ORCID,Vermeire Florence H.¹^ORCID,Tomme Lowie¹,Stevens Christian V.²^ORCID,Van Geem Kevin M.¹^ORCID

Affiliation:

1. Laboratory for Chemical Technology, Department of Materials, Textiles and Chemical Engineering, Ghent University, Technologiepark 125, 9052 Gent, Belgium

2. SynBioC Research Group, Department of Green Chemistry and Technology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000 Gent, Belgium

Funder

Fonds Wetenschappelijk Onderzoek

Bijzonder Onderzoeksfonds

H2020 European Research 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.2c00442

Reference82 articles.

1. Molecular reconstruction: Recent progress toward composition modeling of petroleum fractions