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ORCIDComputers & Chemical Engineering, Volume 204
Volume 204, 2026
- Avesta Ahmadi
, Kevin J. Sanders, Gillian Goward, Bartosz Protas:
Data-driven approach to learning optimal forms of constitutive relations in models describing Lithium plating in battery cells. 109252 - Riccardo Dal Mas, Andrea Carta, Ana Somoza-Tornos, Anton A. Kiss:
Coupling CO2 electrolysis and downstream processing via heat pump-based waste heat recovery. 109330 - Rebecca Loubet, Pascal Zittlau, Luisa Vollmer, Marco Hoffmann, Sophie Fellenz, Fabian Jirasek, Heike Leitte, Hans Hasse:
Using large language models for solving textbook-style thermodynamic problems. 109333 - Simin Torki Beni, Atefeh Amindoust, Ali Saghafinia, Mehrdad Nikbakht:
A Goal Programming Model to Design a Sustainable Microalgae Biofuel Supply Chain with Emerging on Technology Assessment. 109347 - Xin Tang, Michael Baldea, Elaine T. Hale, Ross Baldick, Richard P. O'Neill:
A demand bidding model for multi-product industrial plants. 109349 - Haohao Zhang, Ping Luo, Chao Hua, Jinyi Chen, Qing Yuan:
Machine learning-aided optimal design and distributed model predictive control of reactive dividing wall column. 109355 - Antonio I. García, Oscar A. Marín, Edelmira D. Gálvez:
Model-based predictive control for pneumatic separation and classification of materials in lithium-ion battery recycling. 109358 - Mehdi Abou El Qassime, Ahmed Shokry, Antonio Espuña, Eric Moulines:
Development of approximate scheduling-adaptive controllers for multi-products continuous chemical processes using deep learning techniques and model predictive control. 109359 - Andrea Gloppen Johnsen, Lesia Mitridati, Donato Zarrilli, Jalal Kazempour:
The value of ancillary services for electrolyzers. 109360 - Jinyu An, Xiufeng Zhang:
The BOG dynamic generation model of LNG storage tank considering the SEMP operation. 109361 - Qinghe Gao, Lukas Schulze Balhorn, Alessandro Laera, Raoul Meys, Jonas Goßen, Jana M. Weber, Gregor Wernet, Artur M. Schweidtmann:
Environmental impacts prediction using graph neural networks on molecular graphs. 109362 - Maximilian Bloor, José Torraca, Ilya Orson Sandoval, Akhil Ahmed, Martha White, Mehmet Mercangöz, Calvin Tsay, Ehecatl Antonio del Rio-Chanona, Max Mowbray:
PC-Gym: Benchmark environments for process control problems. 109363 - Jianxun Jiang, Xinli Wan, Feng Zhu, Duole Xiang, Ziyan Hu, Shuxing Mu:
A deep learning framework integrating Transformer and LSTM architectures for pipeline corrosion rate forecasting. 109365 - Moritz Woelk, Wentao Tang:
Identification of noisy Koopman models. 109366 - Ana María Cuezzo, Victoria Olivera, Paula Zulema Araujo, Fernando D. Mele:
Simulation-based techno-economic and environmental evaluation of synthetic natural gas production integrated with sugarcane processing. 109367 - Maryam Mohammadi, Iiro Harjunkoski:
Circular supply chains for sustainable use of biomass. 109368 - Thiago Oliveira Cabral, Davood Babaei Pourkargar:
Nonlinear predictive regulation of an integrated green hydrogen and ammonia production system under time-varying renewable energy supply. 109376 - Dimitrios Voulanas, Eduardo Gildin:
Dynamic mode decomposition accelerated forecast and optimization of geological CO2 storage in deep saline aquifers. 109377 - Samir Sekiou, Ali Behloul, Rachid Nait-Said, Zakarya Chiremsel:
Alarms prediction and classification in industrial processes using supervised machine learning techniques: A case study in an Algerian gas plant. 109378 - Hector Alejandro Pedrozo, Mayra G. Gonzalez-Ramirez, Tiras Y. Lin, Thomas Moore, Thomas Roy, Du T. Nguyen, Pratanu Roy, Sarah E. Baker, Lorenz T. Biegler, Grigorios Panagakos:
Optimization of direct air capture processes using reactive transport models of adsorption-desorption cycles. 109379 - Tzu-Yen Hong, Chia-Yen Lee, Kuan-Chun Lu, Chia-Fan Chu:
Cyclic reinforcement learning for generalization enhancement on T/C imbalance scheduling in TFT-LCD cell manufacturing. 109380 - Qipeng Yang, Wentian Fan, Nan Ma, Shu Lin, Jiawen Chang, Zhiqiang Zou, Liang Sun, Haifeng Zhang:
Bilevel scheduling in downstream oil supply chain: Integrating reinforcement learning with mathematical programming. 109381 - Hasan Sildir, Emrullah Erturk, Deniz Tuna Edizer, Ozgun Deliismail, Yusuf Muhammed Durna, Bahtiyar Hamit:
Knowledge-based training of learning architectures under input sensitivity constraints for improved explainability. 109382 - Joonsoo Park, Wonhyeok Choi, Dong Il Kim, Ha El Park, Jong Min Lee:
Real-world implementation of offline reinforcement learning for process control in industrial dividing wall column. 109383 - Jan-Frederic Laub, Jiyizhe Zhang, Mathis Heyer, Alexei A. Lapkin:
Automated generation of mechanistic models for chemical process digital twins using reinforcement learning part II: Compartmentalization and learning-based recalibration. 109384 - Ben Zhang, Qiping Zhu, Runrun Song, Jingzheng Ren, Chang He, Haoshui Yu:
Side-stream filtration and cooling for hybrid open-closed circulating cooling water system: Retrofitting and stochastic optimization. 109385 - José Antonio Luceño-Sánchez, Mariano Martín, Sandro Macchietto:
Towards an efficient integrated CSP production network: sustainability, storage and power-to-X selection, based on social metrics. 109389 - Adhika P. Retnanto, Mark A. Stadtherr, Michael Baldea:
Process modeling and sensitivity analysis for integrated carbon capture and conversion with ionic liquids. 109390 - Jingsheng Qin, Lingjian Ye, Xiaofeng Yuan:
Safe reinforcement learning for optimization of batch processes with uncertainties: A Bayesian predictive exploration approach. 109391 - Daniel Beahr, Debangsu Bhattacharyya:
Application of unsupervised machine learning methods to actor-critic structures in reinforcement learning for training and online implementation. 109392 - Arthur Khodaverdian, Dhruv Gohil, Panagiotis D. Christofides:
Uniting neural network-based control and model predictive control: Application to a large-scale nonlinear process. 109396 - Thomas Prousalis, Babis Kantouros, Athanasios I. Papadopoulos, Panos Seferlis:
Optimum design under uncertainty of CO2 capture, utilization, mineralization and sequestration networks using rotating packed beds. 109398 - Theofilos Xenitopoulos, Athanasios I. Papadopoulos, Panos Seferlis:
Modeling and multi-criteria assessment of polyamine-based CO2 capture in rotating packed beds using artificial intelligence. 109400 - Zhouchang Li, Runze Lin, Hongye Su, Lei Xie:
Reinforcement learning-driven plant-wide refinery planning using model decomposition. 109348 - Federico Rischawy, Till Briskot, Frederik Nitsch, David Saleh, Gang Wang, Simon Kluters, Joey Studts, Jürgen Hubbuch:
Erratum to "Modeling of biopharmaceutical UF/DF from laboratory to manufacturing scale" [Computers & Chemical Engineering, Volume 177, September 2023, 108337]. 109357 - Shizhao Chen, Dan Yang, Xin Peng, Weichao Ding, Shuai Tan, Weimin Zhong:
Synchronous optimization framework for the integrated hydrogen network and heat exchanging system: A decomposition optimization strategy of the system based on the structure generation method. 109364 - Ian A. Gough, Brandon Corbett, Jake Raycraft, Prashant Mhaskar, Chris McCready, David R. Latulippe, Christopher L. E. Swartz:
Dynamic scheduling and control of a single column chromatography process for integrated continuous bioprocessing. 109386 - Lothar Kaps, Johannes Leipold, Christoph Plate, Carl Julius Martensen, Wieland Kortuz, Andreas Seidel-Morgenstern, Achim Kienle, Sebastian Sager:
Optimal experiments for hybrid modeling of methanol synthesis kinetics. 109387 - Anita L. Ziegler, Marc-Daniel Stumm, Tim Prömper, Thomas Steimann, Jørgen Magnus, Alexander Mitsos:
Simultaneous design of microbe and bioreactor. 109388 - Akshay Kudva, Joel A. Paulson:
BONSAI: Structure-exploiting robust Bayesian optimization for networked black-box systems under uncertainty. 109393 - Amal Anto, Deepak Kumar, Hariprasad Kodamana, Manojkumar Ramteke:
Adaptive fault detection via machine unlearning. 109394 - Xuekun Wang, Zhaozhuang Guo, Ying Liu:
Data-driven globalized distributionally robust multi-period location-routing-scheduling model for waste-to-energy supply chain under emissions ambiguity. 109397 - Jiawen Zhu, Wenli Du, Chen Fan, Muyi Huang, Chuan Wang, Furong Zhang:
Reinforcement learning-guided two-stage optimization framework for multi-product batch scheduling. 109399 - Bilge Bilgen, Halil Akbas, Melis Karasahin:
A risk-averse two-stage stochastic programming model for the biomass supply chain planning problem. 109401 - Kaixuan Zhang, Xu Han:
Behavioral strategies evolution of stakeholders for wastewater recycling in eco-industrial parks under financial constraints. 109402 - Devavrat Thosar, Abhijit Bhakte, Zukui Li, Rajagopalan Srinivasan, Vinay Prasad:
Online parameter estimation and model maintenance using parameter-aware physics-informed neural network. 109403 - Oguzhan Dogru, Mahmut Berat Tatlici, Biao Huang:
Reinforcement learning-based autonomous control of bench-scale primary separation vessel. 109405 - Sanghoon Shin, Dabin Jeong, Yeonsoo Kim:
Deep reinforcement learning-based thermal management of battery subpack in electric vehicle. 109406 - Hritu Raj, Gargi Srivastava:
A novel data augmentation strategy for gas leak detection and segmentation using Mask R-CNN and bit plane slicing in chemical process environments. 109407 - Austin Johnes, Faisal Khan, M. M. Faruque Hasan:
Safety and risks informed economic process synthesis. 109410 - Arjun M., Manojkumar Ramteke, Hariprasad Kodamana:
Comparison of actor-critic reinforcement learning methods for adaptive cut selection for integer programming with applications to sensor network design. 109411 - Hamed Darouni, Farnaz Barzinpour, Amin Reza Kalantari Khalil Abad:
Integrating machine learning and distributionally robust optimization for sustainable agricultural supply chains under global warming uncertainty. 109412 - Adrian Caspari, Thomas Bierweiler, Sarah Fadda, Daniel Labisch, Maarten Nauta, Franzisko Wagner, Merle Warmbold, Constantinos C. Pantelides:
Dynamic hybrid modeling: Incremental identification and model predictive control. 109413 - Jose D. Hernandez-Betancur, John D. Chea, David Perez, Gerardo J. Ruiz-Mercado:
Integrating data engineering and process systems engineering for end-of-life chemical flow analysis. 109414 - Syu-Ning Johnn, Vassilis M. Charitopoulos:
A hybrid deep Q-learning approach to online planning and rescheduling of single-stage multi-product continuous processes. 109415 - Jean-Marc Commenge, Andrés Piña-Martinez:
Data-driven initialization of evolutionary methods for process synthesis considering centrality and diversity criteria. 109416 - Asli Karacelik, Christian Holden:
Robustness of NMPC compared to MPC under off-nominal conditions: Application to a gas lift system. 109417 - Ashfaq Iftakher, Rahul Golder, Bimol Nath Roy, M. M. Faruque Hasan:
Physics-informed neural networks with hard nonlinear equality and inequality constraints. 109418 - Yi Liu, Po-Wei Yeh, Mingwei Jia, Po-Chun Mao, Yuan Yao:
Integrating process data and topology information through edge-group sparse principal component analysis for process analytics. 109419 - Mohammad Hossein Modirrousta, Alireza Memarian, Biao Huang:
Causal discovery in industrial systems via physics-guided variational attention and probabilistic interventions. 109420 - Clemens Kortmann, Eike Cramer:
Corrigendum to "A Black-Box Adversarial Attack on Demand Side Management" [Computers and Chemical Engineering 186 (2024) 108681]. 109421 - Yu Yang:
Data-driven RTO and computationally efficient MPC using piecewise ARX models for unknown process dynamics. 109423 - Shuangbao Zhang, Quan Cheng:
Multimodal hazardous materials risk graph completion: a joint optimization approach with dual channel embedding and generative adversarial network. 109424 - Christoforos Brozos, Sandip Bhattacharya, Jan G. Rittig, Elie Akanny, Philipp Eiden, Alexander Mitsos:
Predicting the equivalent alkane carbon number of oils using graph neural networks and quantum mechanical descriptors. 109425 - Yongming Han, Liyuan Feng, Mengzhi Wang, Yue Wang, Min Liu, Xingxing Zhang, Zhiqiang Geng:
Modeling methane production prediction for energy optimization via improved long short-term memory network. 109426 - Muhammad Farhan Hanif:
Integration of graph-based descriptors with machine learning algorithm for QSPR modeling of fluoroquinolones. 109430 - Hsiao-Te Liu, Ming-Chun Fang, Hao-Yeh Lee, Jeffrey D. Ward, Cheng-Ting Hsieh, Tzu-Chieh Hua, Shih-Chieh Lin, Chih-Lung Lee, Tzu-Hsien Huang, Wei-Ti Chou:
A practical method for maintaining the validity of hybrid AI process models without retraining. 109432 - Wei Zheng, Chunfei Gu, Hao Pan, Xin Fan, Sixiang Fu, Xiaoheng Ji:
Imbalanced fault diagnosis based on sample-weighted counterfactual. 109434 - Ye Jiang, Yu Wang, Hanxiao Qian, Yue Quan, Zhuang Jiang, Yili Chu, Di Wu:
Leaking source localization approach in multi-obstacle scenarios based on CNN and attention mechanism. 109435 - Vasil Shteriyanov, Rimma Dzhusupova, Jan Bosch, Helena Holmström Olsson:
From text to meaning: Semantic interpretation of non-standardized metadata in piping and instrumentation diagrams. 109436 - Bryan Li, Isaac Severinsen, Timothy Walmsley, Wei Yu, Brent R. Young:
Physics-informed neural networks for extrapolating press washer unit operations with heuristic physical knowledge and scarce data. 109440
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