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ORCIDComputers & Chemical Engineering, Volume 203
Volume 203, 2025
- Youhyun Kim, Hayoung Doo, Daeun Shin, Seo Yoon Lee, Yugyeong Roh, Seongeun Park, Heejin Song, Yujin Jung, Hyuk Jun Yoo, Sang Soo Han, Jong Woo Kim, Maximilian O. Besenhard, Ye Seol Lee
, Jonggeol Na:
Self-driving laboratories with artificial intelligence: An overview of process systems engineering perspective. 109266 - Douglas A. Allan, Anca G. Ostace, Tanner Polley:
Jacobian-based model diagnostics and application to equation oriented modeling of a carbon capture system. 109312 - Madelyn R. Ball, Oishi Sanyal, Yuhe Tian:
Advancing junior chemical process design education via combined course projects. 109314 - Luca Trevisan, Ahmed Shokry, Marco Montini, Eric Moulines, Enrico Zio:
A hybrid approach for steady-state production optimization of a real oil and gas platform: Integrating physics-based models, machine learning techniques, and field monitoring signals. 109320 - Jun Li, Yanchen Jiang, Qiansheng Li, Yongfu Wang:
Multi-stage stochastic programming for thermal power plant coal procurement considering long-term contract under uncertainties. 109323 - Yun Dai, Chao Yang, Kaixin Liu, Yi Liu, Yuan Yao:
Quality-aware industrial data imputation with self-supervised recovery for process soft sensor development. 109328 - Odilon S. L. de Abreu, Leizer Schnitman, Marcos Pellegrini Ribeiro, Márcio A. F. Martins:
A zone-based NMPC scheme integrated with an autoregressive echo state network model: An experimental evaluation in an electrical submersible pump-lifted oil well pilot plant. 109304 - Shobhita Sharma, K. M. Anirudh, Bhavik R. Bakshi, S. Sandeep, Hariprasad Kodamana, Manojkumar Ramteke:
Multi-objective optimization for sustainable agricultural strategies considering future climatic scenarios: A study in the context of India. 109306 - Yubin Ryu, Parth Shah, Jonggeol Na, Joseph Sang-Il Kwon:
Physics-informed neural network with moving boundary constraints for modeling hydraulic fracturing. 109308 - Nicholas N. Kalamaris, Christos T. Maravelias:
A general optimization framework for designing chemical & energy systems subject to multi-scale temporal variability. 109315 - Alejandro G. Marchetti:
Feasibility in Real-Time Optimization using Lipschitz bounds: Robust optimization Vs. Adaptive filtering. 109316 - Naz Pinar Taskiran, Chia-En Jacklyn Tsai, Shuxin Huang, Arijit Chakraborty, Venkat Venkatasubramanian:
A knowledge-graph-based pharmaceutical engineering chatbot for drug discovery. 109318 - Nabeel Sultan, Ali Almansoori, Ali Elkamel:
AI-based modeling and optimization of green methanol production process. 109324 - Sowrav Barua, James E. Smith, Vincent H. Tam, Michael Nikolaou:
Enhancing the time-to-positivity paradigm for guidance of antimicrobial therapy: A model-based approach. 109325 - Quirin Göttl, Natalie Rosen, Jakob Burger:
Convex envelope method for T,p flash calculations for mixtures with an arbitrary number of components and arbitrary aggregate states. 109326 - Muhammad Salman, Daniel Flórez-Orrego, Diederik Coppitters, Rafailia Mitraki, François Maréchal, Grégoire Léonard:
Decarbonising the glass industry: A comprehensive techno-economic assessment of low-emission pathways. 109329 - Negareh Mahboubi, Junyao Xie, Biao Huang:
Physics-guided transfer learning for Bayesian optimization of chemical port-Hamiltonian systems. 109331 - Zheming Wang, Chenyang Gu, Bo Chen, Shuwang Du:
Model predictive control for continuous pharmaceutical manufacturing with mass retention constraints. 109332 - Diego J. Trucco, Demian J. Presser, Diego C. Cafaro, Ignacio E. Grossmann, Saurabh Shenvi Usgaonkar, Qi Zhang, Pratik Misra, Heather Binagia, Wayne Rowe, Sanjay Mehta:
A mathematical programming model for the optimal utilization of deep saline aquifers for CO2 storage. 109343 - Niels Krausch, Martin Doff-Sotta, Mark Cannon, Peter Neubauer, Mariano Nicolás Cruz Bournazou:
Deep learning adaptive Model Predictive Control of Fed-Batch Cultivations. 109344 - Rodrigo Paredes, Marco S. Reis:
Causality in Process Systems Engineering: Fundamentals, Applications, and Emerging Trends. 109345 - Angel Francisco Negrete-Romero, Efraín Quiroz Pérez, Dulce Celeste López-Díaz, Julio de Lira-Flores, José María Ponce-Ortega:
A novel circle-packing NLP model for offshore wind farm layout and cable optimization. 109346 - Tae Hoon Oh, Kazuki Kato, Osamu Tonomura, Ken-Ichiro Sotowa:
Bayesian optimization with search space movement for cooling crystallization process. 109350 - Handan Akulker, Burak Alakent, Erdal Aydin:
A two-stage stochastic MINLP model to design and operate a multi-energy microgrid by addressing carbon emission regulatory policies uncertainty. 109351 - Husnain Ali, Rizwan Safdar, Jinfeng Liu, Muhammad Bilal Asif, Xiangrui Zhang, Muhammad Hammad Rasool, Yuan Yao, Le Yao, Jian Ding, Furong Gao:
Process monitoring and dynamic fusion of complex industrial systems: A reconstruction-based Bayesian framework. 109352 - Danijel Zadravec, Nenad Ferdelji:
Optimal control of uncertain batch processes via Koopman expectation-assisted gradient methods. 109353 - Monesh kumar Thirugnanasambandam, José Pinto, Ekaterina Moskovkina, Rafael S. Costa, Rui Oliveira:
A Physics-Informed Neural Network (PINN) framework for generic bioreactor modelling. 109354 - Georgios P. Georgiadis, Christos N. Dimitriadis, Nikolaos Passalis, Michael C. Georgiadis:
A hybrid ML-MILP framework for the optimal integration of photovoltaic and battery systems in manufacturing industries. 109356
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