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ORCIDComputers & Chemical Engineering, Volume 197
Volume 197, 2025
- Jiayuan Wang
, Yuxin Zhang, Chentao Mei, Lingyu Zhu:
Operational flexibility-oriented selection of working fluid for organic Rankine cycles via Bayesian optimization. 109043 - Lucia Balsemão Furtado Logsdon, Virgílio José Martins Ferreira Filho, Paulo Cesar Ribas:
Optimization models and heuristics for effective pipeline decommissioning planning in the oil and gas industry. 109044 - Deepshikha Singh, Antarim Dutta, Ankur Gaur, Shabih Ul Hasan:
Selectivity engineering with single-feed hybrid reactive distillation configurations: Complex reaction schemes having nonideal kinetics with/without inerts. 109046 - Naeme Zarrinpoor, Kannan Govindan:
A supply chain design for creating microalgae-based biodiesel considering resources nexus and uncertainty. 109047 - Alexander Smith, Dipanjan Ghosh, Andrew Tan, Xiang Cheng, Prodromos Daoutidis:
Multi-scale causality in active matter. 109052 - Mohammad Hossein Modirrousta, Alireza Memarian, Biao Huang:
Entropy-enhanced batch sampling and conformal learning in VGAE for physics-informed causal discovery and fault diagnosis. 109053 - Dimitrios M. Fardis, Donghyun Oh, Nikolaos V. Sahinidis, Alejandro Garciadiego, Andrew Lee:
Surrogate modeling and optimization of the leaching process in a rare earth elements recovery plant. 109061 - Derrick Adams, Jay H. Lee, Shin Hyuk Kim, Seongmin Heo:
Noninvasive inline imaging and computer vision-based quality variable estimation for continuous slug-flow crystallizers. 109067 - Wu Deng, Xiankang Xin, Ruixuan Song, Xinzhou Yang, Weifeng Wang, Gaoming Yu:
A time series forecasting method for oil production based on Informer optimized by Bayesian optimization and the hyperband algorithm (BOHB). 109068 - Lunan Li, Zhimin Wu, Chuan Jin:
Integrating a multigeneration system into a biogas-fueled gas turbine power plant for CO2 emission reduction: An efficient design and exergy-economic assessment. 109076 - Angan Mukherjee, Dipendu Gupta, Debangsu Bhattacharyya:
Mass-Constrained hybrid Gaussian radial basis neural networks: Development, training, and applications to modeling nonlinear dynamic noisy chemical processes. 109080
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