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ORCIDComputers & Chemical Engineering, Volume 193
Volume 193, 2025
- Luisa Peterson, Ion Victor Gosea, Peter Benner, Kai Sundmacher:
Digital twins in process engineering: An overview on computational and numerical methods. 108917 - Luis Antonio Pulido-Victoria, Antonio Flores-Tlacuahuac, Alexander Panales-Pérez, Tania E. Lara-Ceniceros, Manuel Alejandro Ávila-López, José Bonilla-Cruz:
Prediction of viscoelastic and printability properties on binder-free TiO2-based ceramic pastes by DIW through a machine learning approach. 108920 - Amir Baghban, Pedro M. Castro, Fabricio Oliveira:
Data-driven robust optimization for pipeline scheduling under flow rate uncertainty. 108924 - Yan Xu, Qun-Xiong Zhu, Wei Ke, Yan-Lin He, Ming-Qing Zhang, Yuan Xu:
Virtual sample generation for soft-sensing in small sample scenarios using glow-embedded variational autoencoder. 108925 - Maryam Nili, Mohammad Saeed Jabalameli, Armin Jabbarzadeh, Ehsan Dehghani:
An optimization approach for sustainable and resilient closed-loop floating solar photovoltaic supply chain network design. 108927 - Xuan Dung James Nguyen, Y. A. Liu:
Methodology for hyperparameter tuning of deep neural networks for efficient and accurate molecular property prediction. 108928 - Jaewook Lee, Seongmin Heo, Jay H. Lee:
Extracting key temporal and cyclic features from VIT data to predict lithium-ion battery knee points using attention mechanisms. 108931 - Jiannan Zhu, Chen Fan, Minglei Yang, Feng Qian, Vladimir Mahalec:
A semi-supervised learning algorithm for high and low-frequency variable imbalances in industrial data. 108933 - Ali Ghodba, Anne Richelle, Chris McCready, Luis A. Ricardez-Sandoval, Hector M. Budman:
A robust batch-to-batch optimization framework for pharmaceutical applications. 108935 - Dominic Bui Viet, Gustavo Fimbres-Weihs, Gobinath Rajarathnam, Ali Abbas:
Highly accelerated kinetic Monte Carlo models for depolymerisation systems. 108945
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