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

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
	Elmaz, Furkan, Di Caprio, Ulderico, Wu, Min, Wouters, Yentl, Van Der Vorst, Geert, Vandervoort, Niels, Anwar, Ali, Leblebici, M. Enis, Hellinckx, Peter, Mercelis, Siegfried (2023) Reinforcement learning-based approach for optimizing solvent-switch processes. Computers & Chemical Engineering, 176. 108310 doi:10.1016/j.compchemeng.2023.108310
	Gupta, Nikita; Kandath, Harikumar; Kodamana, Hariprasad (2025) An adversarial twin-agent inverse proximal policy optimization guided by model predictive control. Computers & Chemical Engineering, 199. doi:10.1016/j.compchemeng.2025.109124
	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
	Machalek, Derek, Quah, Titus, Powell, Kody M. (2021) A novel implicit hybrid machine learning model and its application for reinforcement learning. Computers & Chemical Engineering, 155. 107496pp. doi:10.1016/j.compchemeng.2021.107496
	Monene (2024) Appl. Catal. O The activities of selected metals and supports for CO2 hydrogenation to methanol: a review , 197
	Nian, Rui, Liu, Jinfeng, Huang, Biao (2020) A review On reinforcement learning: Introduction and applications in industrial process control. Computers & Chemical Engineering, 139. 106886pp. doi:10.1016/j.compchemeng.2020.106886
	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
	Oh, Dong-Hoon, Adams, Derrick, Vo, Nguyen Dat, Gbadago, Dela Quarme, Lee, Chang-Ha, Oh, Min (2021) Actor-critic reinforcement learning to estimate the optimal operating conditions of the hydrocracking process. Computers & Chemical Engineering, 149. 107280pp. doi:10.1016/j.compchemeng.2021.107280
	Patel, Kalpesh M (2023) A practical Reinforcement Learning implementation approach for continuous process control. Computers & Chemical Engineering, 174. 108232 doi:10.1016/j.compchemeng.2023.108232
	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.

	Zhou, Jun; Liu, Cui; Liang, Guangchuan; Liu, Shitao; Cheng, Zhifu (2025) Multi-time scale CCUS pipeline network optimization: modeling cost-effective emission reduction trajectories by multi-policy integration. Computers & Chemical Engineering, 201. doi:10.1016/j.compchemeng.2025.109239
	Ramanujam, Asha; Li, Can (2025) PAMSO: Parametric Autotuning Multi-time Scale Optimization Algorithm. Computers & Chemical Engineering, 200. doi:10.1016/j.compchemeng.2025.109160
	Chen, Youqiang; Zhang, Ridong; Gao, Furong (2026) Multi-scale residual attention networks with spatio-temporal attention co-optimization for industrial fault diagnosis. Computers & Chemical Engineering, 205. doi:10.1016/j.compchemeng.2025.109482
	Ma, Aoqun; Li, Zhi; Shen, Feifei; Peng, Xin; Liu, Yurong; Zhong, Weimin; Qian, Feng (2025) Multi-objective dispatch of integrated renewable power systems leveraging robust optimization in deep reinforcement learning. Computers & Chemical Engineering, 201. doi:10.1016/j.compchemeng.2025.109173
	Zhang, Lifeng, Yuan, Zhihong, Chen, Bingzhen (2021) Refinery-wide planning operations under uncertainty via robust optimization approach coupled with global optimization. Computers & Chemical Engineering, 146. 107205pp. doi:10.1016/j.compchemeng.2020.107205
	Zhao, Kai; Zhao, Li; Lu, Weizhuo; Tang, Qiao Q.; He, Chang; Chen, Qing L.; Zhang, Bing J. (2025) Multi-objective optimization design of heat exchanger networks with simultaneous evaluation of economic performance and complexity via a novel two-step optimization approach. Computers & Chemical Engineering, 200. doi:10.1016/j.compchemeng.2025.109212
	Kalamaris, Nicholas N.; Maravelias, Christos T. (2025) A general optimization framework for designing chemical & energy systems subject to multi-scale temporal variability. Computers & Chemical Engineering, 203. doi:10.1016/j.compchemeng.2025.109315
	Yuan, Haiou, Luo, Yiqing, Yuan, Xigang (2022) Synthesis of heat-integrated distillation sequences with mechanical vapor recompression by stochastic optimization. Computers & Chemical Engineering, 165. 107922 doi:10.1016/j.compchemeng.2022.107922
	Triantafyllou, Niki, Papathanasiou, Maria M. (2024) Deep learning enhanced mixed integer optimization: Learning to reduce model dimensionality. Computers & Chemical Engineering, 187. 108725 doi:10.1016/j.compchemeng.2024.108725
	Kazadi Mbamba, Christian, Batstone, Damien J. (2023) Optimization of deep learning models for forecasting performance in the water industry using genetic algorithms. Computers & Chemical Engineering, 175. 108276 doi:10.1016/j.compchemeng.2023.108276
	Zhang, Zhibo; Wang, Yani; Zhu, Mengzhen; Zhao, Zhenhua; Lv, Lingling; Zhu, Hanguo; Zhang, Xingong; Zhou, Xin; Yan, Hao; Yang, Chaohe; et al. (2025) Integrating machine learning and life cycle sustainability assessment for systematic optimization of petroleum coke oxidation for hydrogen residues processing. Computers & Chemical Engineering, 201. doi:10.1016/j.compchemeng.2025.109231