Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryMineral Visual ExplorerAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral QuizTime Machine
Photo SearchPhoto GalleriesSearch by ColorPhoto Colour ExplorerNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Zhao, Yi; Zhang, Lei; Zhang, Libo; Gong, Mingshi; Yuan, Haiou (2025) Multi-scale modeling and optimization of CO₂ hydrogenation to light olefins via deep learning and optimization algorithms. Computers & Chemical Engineering, 201. doi:10.1016/j.compchemeng.2025.109233

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleMulti-scale modeling and optimization of CO₂ hydrogenation to light olefins via deep learning and optimization algorithms
JournalComputers & Chemical Engineering
AuthorsZhao, YiAuthor
Zhang, LeiAuthor
Zhang, LiboAuthor
Gong, MingshiAuthor
Yuan, HaiouAuthor
Year2025 (October)Volume201
PublisherElsevier BV
DOIdoi:10.1016/j.compchemeng.2025.109233Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID18545361Long-form Identifiermindat:1:5:18545361:9
GUID0
Full ReferenceZhao, Yi; Zhang, Lei; Zhang, Libo; Gong, Mingshi; Yuan, Haiou (2025) Multi-scale modeling and optimization of CO₂ hydrogenation to light olefins via deep learning and optimization algorithms. Computers & Chemical Engineering, 201. doi:10.1016/j.compchemeng.2025.109233
Plain TextZhao, Yi; Zhang, Lei; Zhang, Libo; Gong, Mingshi; Yuan, Haiou (2025) Multi-scale modeling and optimization of CO₂ hydrogenation to light olefins via deep learning and optimization algorithms. Computers & Chemical Engineering, 201. doi:10.1016/j.compchemeng.2025.109233
In(2025) Computers & Chemical Engineering Vol. 201. Elsevier BV

References Listed

These are the references the publisher has listed as being connected to the article. Please check the article itself for the full list of references which may differ. Not all references are currently linkable within the Digital Library.

Not Yet Imported: - journal-article : 10.1021/acs.iecr.9b04737

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Ait tchakoucht (2024) Energy Rep. Random forest with feature selection and K-fold cross validation for predicting the electrical and thermal efficiencies of air based photovoltaic-thermal systems 12, 988
Not Yet Imported: - journal-article : 10.1021/acs.iecr.0c05678

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: Journal of CO2 Utilization - journal-article : 10.1016/j.jcou.2016.10.014

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1016/j.energy.2018.01.050

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Chowdhury (2023) Comput. Chem. Eng. Entropy-maximizing TD3-based reinforcement learning for adaptive PID control of dynamical systems , 178
Not Yet Imported: Chemical Engineering Research and Design - journal-article : 10.1016/j.cherd.2023.02.003

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1021/acs.iecr.3c01212

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: Industrial & Engineering Chemistry Research - journal-article : 10.1021/acs.iecr.1c04339

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: Industrial & Engineering Chemistry Research - journal-article : 10.1021/acs.iecr.2c00797

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Joshi (2021) Comput. Chem. Eng. Twin actor twin delayed deep deterministic policy gradient (TATD3) learning for batch process control , 155
Not Yet Imported: Industrial & Engineering Chemistry Research - journal-article : 10.1021/acs.iecr.2c00757

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Kim (2024) Ind. Eng. Chem. Res. Multiobjective optimization of a light olefin production process via CO2 hydrogenation considering yield and energy efficiency 63, 15176
Not Yet Imported: - journal-article : 10.1021/acs.iecr.8b00839

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Le Quéré, Corinne, Andrew, Robbie M., Friedlingstein, Pierre, Sitch, Stephen, Pongratz, Julia, Manning, Andrew C., Korsbakken, Jan Ivar, Peters, Glen P., Canadell, Josep G., Jackson, Robert B., Boden, Thomas A., Tans, Pieter P., Andrews, Oliver D., Arora, Vivek K., Bakker, Dorothee C. E., Barbero, Leticia, Becker, Meike, Betts, Richard A., Bopp, Laurent, Chevallier, Frédéric, Chini, Louise P., Ciais, Philippe, Cosca, Catherine E., Cross, Jessica, Currie, Kim, Gasser, Thomas, Harris, Ian, Hauck, Judith, Haverd, Vanessa, Houghton, Richard A., Hunt, Christopher W., Hurtt, George, Ilyina, Tatiana, Jain, Atul K., Kato, Etsushi, Kautz, Markus, Keeling, Ralph F., Klein Goldewijk, Kees, Körtzinger, Arne, Landschützer, Peter, Lefèvre, Nathalie, Lenton, Andrew, Lienert, Sebastian, Lima, Ivan, Lombardozzi, Danica, Metzl, Nicolas, Millero, Frank, Monteiro, Pedro M. S., Munro, David R., Nabel, Julia E. M. S., Nakaoka, Shin-ichiro, Nojiri, Yukihiro, Padin, X. Antonio, Peregon, Anna, Pfeil, Benjamin, Pierrot, Denis, Poulter, Benjamin, Rehder, Gregor, Reimer, Janet, Rödenbeck, Christian, Schwinger, Jörg, Séférian, Roland, Skjelvan, Ingunn, Stocker, Benjamin D., Tian, Hanqin, Tilbrook, Bronte, Tubiello, Francesco N., van der Laan-Luijkx, Ingrid T., van der Werf, Guido R., van Heuven, Steven, Viovy, Nicolas, Vuichard, Nicolas, Walker, Anthony P., Watson, Andrew J., Wiltshire, Andrew J., Zaehle, Sönke, Zhu, Dan (2018) Global Carbon Budget 2017. Earth System Science Data, 10 (1). 405-448 doi:10.5194/essd-10-405-2018
Lu (2024) Appl. Catal. A Recent progress for boosting CO2 hydrogenation to light olefins , 687
Not Yet Imported: Industrial & Engineering Chemistry Research - journal-article : 10.1021/acs.iecr.2c02968

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Monene (2024) Appl. Catal. O The activities of selected metals and supports for CO2 hydrogenation to methanol: a review , 197
Not Yet Imported: - journal-article : 10.1137/060649513

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Powell (2020) Comput. Chem. Eng. Real-time optimization using reinforcement learning , 143
Prince (2023)
Not Yet Imported: - journal-article : 10.3390/pr8111497

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1021/ie000084k

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Saeidi (2021) Prog. Energy Combust. Sci. Recent advances in CO2 hydrogenation to value-added products — current challenges and future directions , 85
Not Yet Imported: - journal-article : 10.1021/acs.iecr.2c02638

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1021/acs.iecr.3c01110

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Sedighi (2025) Fuel A comparative study of machine learning frameworks for predicting CO2 conversion into light olefins , 379
Shahade (2023) Int. J. Inf. Manag. Data Insights Multi-lingual opinion mining for social media discourses: an approach using deep learning based hybrid fine-tuned smith algorithm with adam optimizer 3
Sim (2025) Sci. Comput. Program. Automated code transformation for distributed training of TensorFlow deep learning models , 242
Not Yet Imported: Industrial & Engineering Chemistry Research - journal-article : 10.1021/acs.iecr.0c03839

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1021/ie801585e

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: Neural Networks - journal-article : 10.1016/j.neunet.2022.11.035

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: SIAM Journal on Optimization - journal-article : 10.1137/S1052623403426544

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1021/acs.iecr.9b02513

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: Industrial & Engineering Chemistry Research - journal-article : 10.1021/acs.iecr.0c02084

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1016/j.jcou.2013.10.003

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1021/acs.iecr.1c04251

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1021/acs.iecr.2c03137

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Xu (2024) Neurocomputing Convergence of deep ReLU networks , 571
Not Yet Imported: - journal-article : 10.1021/acs.iecr.9b05087

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Yang (2024) Energy Machine learning-based techno-econo-environmental analysis of CO2-to-olefins process for screening the optimal catalyst and hydrogen color , 312
Yoo (2021) Comput. Chem. Eng. Reinforcement learning based optimal control of batch processes using Monte-Carlo deep deterministic policy gradient with phase segmentation , 144
Not Yet Imported: - journal-article : 10.1021/acs.iecr.3c02556

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: Industrial & Engineering Chemistry Research - journal-article : 10.1021/acs.iecr.3c00500

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1021/acs.iecr.3c01617

If you would like this item imported into the Digital Library, please contact us quoting Journal ID


See Also

These are possibly similar items as determined by title/reference text matching only.

 
and/or  
Mindat.org® is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization. Mindat® and mindat.org® are registered trademarks of the Hudson Institute of Mineralogy.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2026, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph and Ida Chau.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: June 3, 2026 22:22:55
Go to top of page