Papers citing A hybrid science‐guided machine learning approach for modeling chemical processes: A review
Bayesian Optimization of Low-Temperature Nonthermal Plasma Jet Sintering of Nanoinks
ACS Applied Materials & Interfaces · 2024
Zhongyu Cheng, Ke Wang, A. N. M. Tanvir, Wenjie Shang, Tengfei Luo, Yanliang Zhang, Alexander W. Dowling, David B. Go
Read original paper ↗ ·Integrated Machine Learning/FT-IR Framework for Efficient Solvent Composition Analysis in Carbon Capture
Industrial & Engineering Chemistry Research · 2024
Ahmad Syauqi, Atabay Allamyradov, Cristóbal Quintana, Vijay Mohan Nagulapati, Boris Brigljević, Hankwon Lim
Read original paper ↗ ·Machine learning-enabled techno-economic uncertainty analysis of sustainable aviation fuel production pathways
Chemical Engineering Journal Advances · 2024
Chao Wu, Yuxi Wang, Ling Tao
Read original paper ↗ ·A physics‐constrained hybrid residual neural network for the prediction of moisture content in a closed‐cycle drying system
The Canadian Journal of Chemical Engineering · 2024
Mengfei Zhou, Ruizhen Wang, Cheng Rong, Qin Sun, Qiqing Yu, Luyue Xia, Xiaofang Sun
Read original paper ↗ ·Agro-Climatic Information to Enhance the Machine-Learning Classification of Olive Oils from Near-Infrared Spectra
ACS Agricultural Science & Technology · 2024
María Isabel Sánchez‐Rodríguez, Elena M. Sánchez‐López, Alberto Marinas, José María Caridad y Ocerín, Francisco José Urbano
Read original paper ↗ ·Optimizing olefin purification: An artificial intelligence-based process-conscious PI controller tuning for double dividing wall column distillation
Chemical Engineering Journal · 2024
Ahmad Syauqi, Heehyang Kim, Hankwon Lim
Read original paper ↗ ·Identifying effective evolutionary strategies-based protocol for uncovering reaction kinetic parameters under the effect of measurement noises
BMC Biology · 2024
Hock Chuan Yeo, Varsheni Vijay, Kumar Selvarajoo
Read original paper ↗ ·A hybrid predictive modeling approach for catalyzed polymerization reactors
Chemical Engineering Journal Advances · 2024
Omid Sobhani, Hamid Toliati, Furkan Elmaz, Shahab Pormoradi Gerdposhteh, Benedict Carius, Kevin Mets, Siegfried Mercelis
Read original paper ↗ ·Physics-informed neural networks for dynamic process operations with limited physical knowledge and data
Computers & Chemical Engineering · 2024
Mehmet Velioglu, Song Zhai, Sophia Rupprecht, Alexander Mitsos, Andreas Jupke, Manuel Dahmen
Read original paper ↗ ·Artificial intelligence and machine learning at various stages and scales of process systems engineering
The Canadian Journal of Chemical Engineering · 2024
Karthik Srinivasan, Anjana Puliyanda, Devavrat Thosar, Abhijit Bhakte, Kuldeep Singh, Prince Addo, Rajagopalan Srinivasan, Vinay Prasad
Read original paper ↗ ·Methodology for hyperparameter tuning of deep neural networks for efficient and accurate molecular property prediction
Computers & Chemical Engineering · 2024
Xuan Dung James Nguyen, Y.A. Liu
Read original paper ↗ ·Digital twins in process engineering: An overview on computational and numerical methods
Computers & Chemical Engineering · 2024
Luisa Peterson, Ion Victor Gosea, Peter Benner, Kai Sundmacher
Read original paper ↗ ·Hybrid model using bond graph-TCN network and event triggered predictive control of pH neutralization process
ISA Transactions · 2024
Joanofarc Xavier, M. Barath, Sanjib Kumar Patnaik, Rames Chandra Panda, Atanu Panda
Read original paper ↗ ·Hybrid modeling of first-principles and machine learning: A step-by-step tutorial review for practical implementation
Computers & Chemical Engineering · 2024
Parth Shah, Silabrata Pahari, Raj Bhavsar, Joseph Sang‐Il Kwon
Read original paper ↗ ·Advances on hybrid modelling for bioprocesses engineering: Insights into research trends and future directions from a bibliometric approach
Results in Engineering · 2024
Juan Federico Herrera‐Ruiz, Javier Fontalvo, Oscar Andrés Prado‐Rubio
Read original paper ↗ ·Models, modeling and model-based systems in the era of computers, machine learning and AI
Computers & Chemical Engineering · 2024
Seyed Soheil Mansouri, Abhishek Sivaram, Christopher J. Savoie, Rafiqul Gani A
Read original paper ↗ ·Combining CFD and AI/ML Modeling to Improve the Performance of Polypropylene Fluidized Bed Reactors
Fluids · 2024
Nayef Mohamed Ghasem
Read original paper ↗ ·Applications of machine learning for modeling and advanced control of crystallization processes: Developments and perspectives
Digital Chemical Engineering · 2024
Fernando Arrais Romero Dias Lima, Marcellus G.F. de Moraes, Amaro G. Barreto, Argimiro Resende Secchi, Martha A. Grover, Maurício Bezerra de Souza Jr.
Read original paper ↗ ·Machine learning assisted reactor and full process optimization design for alcohol oxidation
Chemical Engineering Science · 2024
Zhibo Zhang, Dongrui Zhang, Mengzhen Zhu, Hui Jun Zhao, Xin Zhou, Hao Yan, Chaohe Yang
Read original paper ↗ ·Bioeconomy of microalgae-based products
Elsevier eBooks · 2025
Yoong Kit Leong
Read original paper ↗ ·LAI retrieval from optical satellite imagery using residual physics-guided neural topologies with the PROSAIL RTM
SSRN Electronic Journal · 2025
Kevin De Sousa, Jordi Inglada
Read original paper ↗ ·LSTM-Based Hybrid Modeling Approach for Control Application of Evaporator Involving Phase Transition
IFAC-PapersOnLine · 2025
Jisung Byun, Hyein Jung, Jong Min Lee
Read original paper ↗ ·Scientific Machine Learning for Industrial Process Simulation: Applications, Strategies, and Challenges
SSRN Electronic Journal · 2025
Mohammadjavad Kamali, Qingshi Tu
Read original paper ↗ ·Knowledge Driven Machine Learning Towards Interpretable Intelligent Prognostics and Health Management: Review and Case Study
Chinese Journal of Mechanical Engineering · 2025
Ruqiang Yan, Zheng Zhou, Zuogang Shang, Zhiying Wang, Chenye Hu, Yasong Li, Yuangui Yang, Xuefeng Chen, Robert X. Gao
Read original paper ↗ ·Review of physics-informed machine learning (PIML) methods applications in subsurface engineering
Geoenergy Science and Engineering · 2025
Utkarsh Sinha, Birol Dindoruk
Read original paper ↗ ·Integrating machine learning for multi-objective optimization of biomass conversion to hydrogen
Journal of Cleaner Production · 2025
Yinchen Li, Peng Jiang, Lin Li, Tuo Ji, Liwen Mu, Xiaohua Lü, Jiahua Zhu
Read original paper ↗ ·A many-objective surrogate optimization model driven by hybrid pilot-test data, molecular reconstruction, and crude oil direct cracking reaction mechanism
Chemical Engineering Journal · 2025
Xin Zhou, Zhibo Zhang, Changyuan Wang, Lianying Wu, Hao Yan, Hui Jun Zhao, Yibin Liu, Xiaobo Chen, Chaohe Yang
Read original paper ↗ ·A review on full-, zero-, and partial-knowledge based predictive models for industrial applications
Information Fusion · 2025
Stefano Zampini, Guido Parodi, Luca Oneto, Andrea Coraddu, Davide Anguita
Read original paper ↗ ·Computer-aided many-objective optimization framework via deep learning surrogate models: Promoting carbon reduction in refining processes from a life cycle perspective
Chemical Engineering Science · 2025
Xin Zhou, Zhibo Zhang, Huibing Shi, Deming Zhao, Yao-Wei Wang, Haiyan Luo, Hao Yan, Weitao Zhang, Lianying Wu, Chaohe Yang
Read original paper ↗ ·Magnetic Properties as Proxies for Geochemical Prediction in Mining Tailings: A Semi-Supervised Spatial Approach
Minerals · 2025
Elizabeth J. Lam, Brian Keith, Jaume Bech, Christian Herrera, Javier Urrutia, Ítalo L. Montofré
Read original paper ↗ ·Generalized engineering equations of heat-transfer performance for twisted heat exchanger with slurries from biogas plants by using Machine learning driven by mechanism and data
Applied Thermal Engineering · 2025
Yan Liu, Shanshan Wang, Liwen Mu, Mikael Risberg, Urban Jansson, Jiahua Zhu, Xiaohua Lü, Xiaoyan Ji, Jingjing Chen
Read original paper ↗ ·Estimating primary production in the California Current System using machine learning methods
Estuarine Coastal and Shelf Science · 2025
Zixu Ye, Lingling Jiang, Qianru Wang, Qiang Li, Lin Wang, Siwen Gao, Zhigang Jiang
Read original paper ↗ ·Fault Diagnosis in Chemical Reactors with Data-Driven Methods
Industrial & Engineering Chemistry Research · 2025
Pu Du, Nabil Abdel Jabbar, Benjamin A. Wilhite, Costas Kravaris
Read original paper ↗ ·Hybrid modelling incorporating reaction and mechanistic data for accelerating the development of isooctanol oxidation
Chinese Journal of Chemical Engineering · 2025
Xin Zhou, Ce Liu, Zhibo Zhang, Xinrui Song, Haiyan Luo, Weitao Zhang, Lianying Wu, Hui Jun Zhao, Yibin Liu, Xiaobo Chen, Hao Yan, Chaohe Yang
Read original paper ↗ ·Real-time process safety and systems decision-making toward safe and smart chemical manufacturing
Digital Chemical Engineering · 2025
Austin Braniff, Sahithi Srijana Akundi, Yuanxing Liu, Beatriz Dantas, Shayan Sean Niknezhad, Faisal Khan, Efstratios N. Pistikopoulos, Yuhe Tian
Read original paper ↗ ·Development and assessment of hybrid machine learning model of biomass pyrolysis process
Chemical Engineering Science · 2025
Aban Sakheta, Thomas Raj, Richi Nayak, Ian M. O’Hara, Jerome Ramirez
Read original paper ↗ ·Rapid and accurate prediction of molecular dynamics simulations using physics-informed LSTM networks in engine emission analysis: A case study of C3H6/NH3 pyrolysis for PAH formation
Journal of the Energy Institute · 2025
Yuchao Yan, Tianfang Xie, Jinlong Liu
Read original paper ↗ ·A Framework for Assessing the Potential of Artificial Intelligence in the Circular Bioeconomy
Sustainability · 2025
Munir Shah, Mark Wever, Martin Espig
Read original paper ↗ ·Physics-based model as a versatile tool towards advanced process control of the naphtha distillation unit
Process Safety and Environmental Protection · 2025
S.V. Stabrov, Шевлягина Светлана Александровна
Read original paper ↗ ·Machine learning in modeling, analysis and control of electrochemical reactors: A tutorial review
Digital Chemical Engineering · 2025
Wenlong Wang, Zhe Wu, Dominic Peters, Berkay Çıtmacı, Carlos G. Morales‐Guio, Panagiotis D. Christofides
Read original paper ↗ ·Anchoring Computational Flow Models to Real-World Multiphase Reactors: Toward Ensuring Delivery of Materials and Energy at the Right Time and Place in Reactors
ACS Engineering Au · 2025
Vivek Vinayak Ranade
Read original paper ↗ ·Explainable knowledge graph embeddings for industrial process monitoring & control
Information Fusion · 2025
Michael Weyns, Thibault Blyau, Bram Steenwinckel, Filip De Turck, Sofie Van Hoecke, Femke Ongenae
Read original paper ↗ ·Interpretable and uncertainty-aware machine learning for trustworthy prediction in batch crystallization
Chemical Engineering and Processing - Process Intensification · 2025
Fernando Arrais Romero Dias Lima, Marcellus G.F. de Moraes, Carine Menezes Rebello, Amaro G. Barreto, Argimiro Resende Secchi, Maurício Bezerra de Souza Jr., Idelfonso B. R. Nogueira
Read original paper ↗ ·Inverse design of the membrane reactors enabled by an inverse-forward physics-informed learning framework
Chemical Engineering Science · 2025
Hong Huang, Yimeng Li, Runrun Song, Jingzheng Ren, Haoshui Yu, Xiantai Zhou, Chang He
Read original paper ↗ ·Multi-scale revolution of artificial intelligence in chemical industry
Frontiers of Chemical Science and Engineering · 2025
Ying Li, Quanhu Sun, Zutao Zhu, Huaqiang Wen, Saimeng Jin, Xiangping Zhang, Zhigang Lei, Weifeng Shen
Read original paper ↗ ·A novel hybrid neural network for modeling dynamic systems using physics-informed regularization
Journal of Process Control · 2025
Devavrat Thosar, Abhijit Bhakte, Zukui Li, Rajagopalan Srinivasan, Vinay Prasad
Read original paper ↗ ·Development of a Hybrid Model for the Paracetamol Batch Dissolution in Ethanol Using Universal Differential Equations
Systems and Control Transactions · 2025
Fernando Arrais Romero Dias Lima, Amyr Crissaff Silva, Marcellus G.F. de Moraes, Amaro G. Barreto, Argimiro Resende Secchi, Idelfonso B. R. Nogueira, Maurício Bezerra de Souza Jr.
Read original paper ↗ ·Building hybrid AI models in chemical engineering: A tutorial review
Computers & Chemical Engineering · 2025
Arijit Chakraborty, Naz Pinar Taskiran, Rishab Kottooru, Vipul Mann, Venkat Venkatasubramanian
Read original paper ↗ ·Design and optimization of shell-and-tube heat exchangers through ANN and H-ANN models
Process Safety and Environmental Protection · 2025
Zaira Jelena Mosqueda-Huerta, Oscar Daniel Lara‐Montaño, Fernando Israel Gómez‐Castro, Manuel Toledano‐Ayala
Read original paper ↗ ·The Alchemist, the Scientist, and the Robot: Exploring the Potential of Human‐AI Symbiosis in Self‐Driving Polymer Laboratories
Macromolecular Rapid Communications · 2025
Bahar Dadfar, Berna Alemdag, Gözde Kabay
Read original paper ↗ ·