Papers citing A hybrid science‐guided machine learning approach for modeling chemical processes: A review
Perspective on artificial intelligence for carbon capture utilization and storage (CCUS) in Petrochemical Industry
Carbon Capture Science & Technology · 2025
Jin Ma, Yide Han, Meihong Wang, Weimin Zhong, Wenli Du, Feng Qian
Read original paper ↗ ·Data-driven prediction of copper leaching yield from brass waste using stacking ensemble learning
Separation and Purification Technology · 2025
Sercan Basit, Murat Uyar
Read original paper ↗ ·A Review of Artificial Intelligence Applications for Biorefineries and Bioprocessing: From Data-Driven Processes to Optimization Strategies and Real-Time Control
Processes · 2025
Alex Butean, Iulia Cutean, Rubén Barbero, Juan Enriquez, Alexandru Matei
Read original paper ↗ ·A Multilinear Regression Procedure for Solving the Inverse Problem with Physics-Informed Neural Networks: Application to Three Case Studies in Chemical Engineering
Industrial & Engineering Chemistry Research · 2025
Federico Atzori, Federico Zedda, Giacomo Cao, Alessandro Concas
Read original paper ↗ ·Cement and concrete as carbon sinks: Transforming a climate challenge into a carbon storage opportunity
Carbon Capture Science & Technology · 2025
Liming Huang, Baodong Li, Xinping Zhu, Ning Li, Xin Zhang
Read original paper ↗ ·Physics-informed AI and ML-based sparse system identification algorithm for discovery of PDE’s representing nonlinear dynamic systems
Mechanical Systems and Signal Processing · 2025
Ashish Pal, Sutanu Bhowmick, Satish Nagarajaiah
Read original paper ↗ ·AI Applications in the Environmental Control of Controlled Environment Agriculture in the Digital Age
Modern Agriculture · 2025
Wei‐Han Chen, Benjamin Decardi‐Nelson, Chieri Kubota, Fengqi You
Read original paper ↗ ·Online parameter estimation and model maintenance using parameter-aware physics-informed neural network
Computers & Chemical Engineering · 2025
Devavrat Thosar, Abhijit Bhakte, Zukui Li, Rajagopalan Srinivasan, Vinay Prasad
Read original paper ↗ ·Adding machine learning to the polymer reaction engineering toolbox
Progress in Polymer Science · 2025
Kiarash Farajzadehahary, Shaghayegh Hamzehlou, Nicholas Ballard
Read original paper ↗ ·A practical method for maintaining the validity of hybrid AI process models without retraining
Computers & Chemical Engineering · 2025
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
Read original paper ↗ ·Scale-up of complex molecular reaction system by hybrid mechanistic modeling and deep transfer learning
Nature Communications · 2025
Zhengyu Chen, Yongqing Xie, Chunming Xu, Linzhou Zhang
Read original paper ↗ ·Scientific machine learning for modeling industrial-scale Primary Separation Vessel
Computers & Chemical Engineering · 2025
Hossein Mohammadghasemi, Jansen Fajar Soesanto, Abhijeet Singh, Bart Maciszewski, Biao Huang
Read original paper ↗ ·Multiscale modelling in ammonia synthesis: Integrating CFD and process simulation - A review
Case Studies in Chemical and Environmental Engineering · 2025
Leonardo Bravo, Camilo Rengifo Gutierrez, Martha I. Cobo, Manuel Alfredo Figueredo
Read original paper ↗ ·Machine learning accelerated data generation, process modelling and system optimization for biomass conversion and valorization
Renewable and Sustainable Energy Reviews · 2025
Peng Jiang, Chenhan Wang, Wenjie She, Wenkai Ye, Yinchen Li, Tuo Ji, Liwen Mu, Xiaohua Lu, Jiahua Zhu
Read original paper ↗ ·A Novel Hybrid Modeling Framework for Polymer Reaction Engineering with Application to Real-Time Process Monitoring
Industrial & Engineering Chemistry Research · 2025
Cindy Trinh, Maria Prokopidou, Konstantinos I. Chatzilygeroudis, Dimitrios Meimaroglou
Read original paper ↗ ·The incorporation of qualitative knowledge in hybrid modeling
Computers & Chemical Engineering · 2025
Elia Arnese-Feffin, Nidhish Sagar, Luis A. Briceno-Mena, Birgit Braun, Iván Castillo, Caterina Rizzo, Linh H. T. Bui, Jinsuo Xu, Leo H. Chiang, Richard D. Braatz
Read original paper ↗ ·Hybrid Modeling for Bioprocesses: Architectures, Applications, and Perspectives
Engineering Reports · 2025
Juan Federico Herrera‐Ruiz, Javier Fontalvo, Oscar Andrés Prado‐Rubio
Read original paper ↗ ·Review of Applications of Experimental Designs in Wafer Manufacturing
Applied System Innovation · 2025
Hsuan‐Yu Chen, Chiachung Chen
Read original paper ↗ ·A novel hybrid residual model for accurately predicting gas composition of biomass pyrolysis: From the perspective of biomass composition
Chemical Engineering Science · 2025
Hao Chen, Ting Li, Hui‐Min Gao, Cong Wang, Hongliang Qian
Read original paper ↗ ·Lyapunov-Constrained Hybrid Modeling for Stable Parameter Learning in Nonlinear Systems
Industrial & Engineering Chemistry Research · 2025
Parth Shah, Joseph Sang‐Il Kwon
Read original paper ↗ ·Mechanistic, data-driven, and hybrid models: A critical comparison in surrogate drug dissolution modeling
International Journal of Pharmaceutics · 2025
Barbara Honti, Gréta Mihályi, Zsombor Kristóf Nagy, Enikő Borbás, Hajnalka Pataki, Brigitta Nagy
Read original paper ↗ ·Adaptive nickel–titanium shape memory alloy for smart systems: Mechanisms, manufacturing, and applications across biomedical, aerospace, civil, and energy
Materials Today Communications · 2025
H.M. Wasi Uddin, Qazi Riti Mahpara Progoti, Mahadesh Chandro Mondal, Shifat E. Arman, Sadit Bihongo Malitha
Read original paper ↗ ·A hybrid approach for photobioreactor modeling in CO2 biofixation using microalgae cultivation
Algal Research · 2025
Shabnam Shahhoseyni, Mohammad Rahmani, Abhishek Sivaram
Read original paper ↗ ·A Physics-Informed Grey-Box Predictor with an Online Bias Observer for Cargo Tank Pressure on In-Service LPG Carriers
SSRN Electronic Journal · 2026
Cheonggi Park, Hanseok Seo, Taesu Cheong, Muhammet Deveci
Read original paper ↗ ·Artificial Intelligence in Biomass Energy: Trends, Tools, and Technologies
Green energy and technology · 2026
Rabi Kabir Ahmad, Shaharin Anwar Sulaiman, Yusuf Al-Mubin Shaharin Anwar
Read original paper ↗ ·Dual-level physics-guided modeling for efficient evaluation of energy-intensive drying processes
SSRN Electronic Journal · 2026
Wei He, Binbin Li, Yong Li, Alexey Belov, Min Yang, Yanling Yu
Read original paper ↗ ·Hybrid Intelligence: The Fusion of Science-Based and Machine Learning Models
Springer eBooks · 2026
Eleni Lavasa, Theodora Chrysoula, Vasileios Gkolemis, Charalambos Sinnis, Theodore M. Dalamagas, Sotiris Koussouris, Nefeli Bountouni, Κonstantinos Perakis, Viktor Daropoulos, Stratos D. Keranidis, Charalambos Lambri, Giorgos Ioannou, George Pallis, Marios D. Dikaiakos, Daniele Crippa, André Tabone, Dimitrios Bimpikas, Carl Hans, Robert Hellbach, D.P. Bouras
Read original paper ↗ ·Machine Learning Augmented Mechanistic Modeling of Hydrogen-Based Reduction for Waste-Integrated Green Ironmaking
SSRN Electronic Journal · 2026
Suryanarayana Vikrant Karra, Yash Prakash Mishra, Joshua McArdle, Chris W. Bumby, Matthew James Watson
Read original paper ↗ ·Data‐driven measuring and hybrid modeling of racemic methionine crystallization thermodynamics in K 2 CO 3 aqueous systems
AIChE Journal · 2026
Yixin Ma, Lei Yang, Yan Zhang, Zhiwei Zhang, Haoliang Wang, Jingcai Cheng, Chao Yang
Read original paper ↗ ·Parallel Hybrid Modeling of Al–Mg–Si Tensile Properties Using Density-Based Weighting
Metals · 2026
Christian Dalheim Øien, Ole Runar Myhr, Geir Ringen
Read original paper ↗ ·End-to-end machine learning of Lyapunov-stable MPC for nonlinear systems with unknown dynamics
Process Safety and Environmental Protection · 2026
Yao Shi, Ming Xiao, Zhe Wu
Read original paper ↗ ·Machine Learning for Catalytic Reaction Systems: A Framework for Complex Chemical Processes
ACS Engineering Au · 2026
Mehmet Erdem Günay, Ramazan Yıldırım
Read original paper ↗ ·Physics-constrained machine learning for chemical engineering
Current Opinion in Chemical Engineering · 2026
Angan Mukherjee, Víctor M. Zavala
Read original paper ↗ ·Current state of the art and future perspectives for photocatalytic CO2 reduction
Journal of Energy Chemistry · 2026
Pınar Özdemir, Ramazan Yıldırım
Read original paper ↗ ·Design space determination of freezing processes for human induced pluripotent stem cell-derived spheroids using hybrid modeling
Digital Chemical Engineering · 2026
Masaharu Fujioka, Yusuke Hayashi, Yuta Yamaguchi, Tetsuya Fujii, Hirokazu Sugiyama
Read original paper ↗ ·Exploring the Strengths and Limitations of Polymer Chemistry Informed Neural Networks
Macromolecular Reaction Engineering · 2026
Shaghayegh Hamzehlou, Nicholas Ballard, José M. Asúa
Read original paper ↗ ·Interpretable machine learning for optimized dimethyl ether production from bio-methanol
Scientific Reports · 2026
Mohsen Mokari, Mohammad Rahmani, Saeid Atashrouz
Read original paper ↗ ·Perspectives on the Essential Role of First-Principles Modeling in the Age of AI
Industrial & Engineering Chemistry Research · 2026
Anton Alexandru Kiss, Johan Grievink
Read original paper ↗ ·Exploring the application boundaries of LLMs in mental health: a systematic scoping review
Frontiers in Psychology · 2026
Jinhua Yang, Ting Liu, Yiming Taclis Luo, Tianyue Niu, Patrick Cheong‐Iao Pang, Xiang Ao, Qin Yang
Read original paper ↗ ·Adaptive physics-informed neural network-based digital twins integrated with Ensemble Kalman Filter
Computers & Chemical Engineering · 2026
Devavrat Thosar, Abhijit Bhakte, Zukui Li, Rajagopalan Srinivasan, Vinay Prasad
Read original paper ↗ ·Empirical–theoretical Verilog-A modeling of nonlinear behavior in MEMS capacitive accelerometers
AEU - International Journal of Electronics and Communications · 2026
Maryam Karimi Vajargah, Hossein Shamsi
Read original paper ↗ ·HyMech: AI-driven framework for physics-informed discovery of interpretable hybrid models
Computers & Chemical Engineering · 2026
Lorenzo Rossi, Fabrizio Bezzo, Massimiliano Barolo
Read original paper ↗ ·AI in chemical engineering: From promise to practice
AIChE Journal · 2026
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik
Read original paper ↗ ·A physics-guided adaptive soft sensor for real-time light olefin selectivity prediction in industrial MTO processes
Chemical Engineering Science · 2026
Lulu Li, Hua Li, Duiping Liu, Jibin Zhou, Mao Ye, Zhongmin Liu
Read original paper ↗ ·Residual-hybrid dynamic response-surface/machine-learning framework for predicting malachite green removal and biodegradation by a bacterial consortium
Journal of Biological Engineering · 2026
Ebtehag A. E. Sakr, Marwa S. Hassan, Mervat El‑Sedik, Manal Moustafa Rekaby, Ghada M. El-Sayed
Read original paper ↗ ·Flow Modeling, Reactor Engineering, and Process Intensification: From Insight to Performance
ACS Engineering Au · 2026
Vivek Vinayak Ranade
Read original paper ↗ ·Computational fluid dynamics and digital twins for wind turbines: A review
Applied Energy · 2026
Ross Cockcroft, Ben Thornber
Read original paper ↗ ·Experimental and Machine Learning Investigation of VLE/VLLE Behavior in the Methyl Acetate–Methanol System Using ChCl: EG Deep Eutectic Solvent
Korean Journal of Chemical Engineering · 2026
Anshu Sharma, Aman Garg, Bong‐Seop Lee
Read original paper ↗ ·Physics-informed neural network-based multi-horizon model predictive control of chemical plants with renewable supply
Journal of Process Control · 2026
Javad Tousi, Daniel Görges
Read original paper ↗ ·Dictionary‐based weak‐form training for noise‐robust series hybrid models with multiplicative unknowns
AIChE Journal · 2026
Hangjun Cho, Akshay Kudva, Parth Shah, Dongheon Lee, Joseph Sang‐Il Kwon
Read original paper ↗ ·