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For: Yang S, Navarathna P, Ghosh S, Bequette BW. Hybrid Modeling in the Era of Smart Manufacturing. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2020.106874] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Number Cited by Other Article(s)
1
Hee Kim J, Bae Rhim G, Choi N, Hye Youn M, Hyun Chun D, Heo S. A hybrid modeling framework for efficient development of Fischer-Tropsch kinetic models. J IND ENG CHEM 2022. [DOI: 10.1016/j.jiec.2022.11.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
2
Data Augmentation to Support Biopharmaceutical Process Development through Digital Models—A Proof of Concept. Processes (Basel) 2022. [DOI: 10.3390/pr10091796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]  Open
3
Process Model Inversion in the Data-Driven Engineering Context for Improved Parameter Sensitivities. Processes (Basel) 2022. [DOI: 10.3390/pr10091764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]  Open
4
Bradley W, Kim J, Kilwein Z, Blakely L, Eydenberg M, Jalvin J, Laird C, Boukouvala F. Perspectives on the Integration between First-Principles and Data-Driven Modeling. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.107898] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
5
Performance-oriented model learning for control via multi-objective Bayesian optimization. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.107770] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
6
Spectral Graph Theoretic analysis of process systems: an application to distillation columns. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.107748] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
7
HybridML: Open Source Platform for Hybrid Modeling. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.107736] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
8
Sharma N, Liu YA. A Hybrid Science‐Guided Machine Learning Approach for Modeling Chemical Processes: A Review. AIChE J 2022. [DOI: 10.1002/aic.17609] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
9
Mädler J, Richter B, Wolz DSJ, Behnisch T, Böhm R, Jäger H, Gude M, Urbas L. Hybride semi‐parametrische Modellierung der thermooxidativen Stabilisierung von PAN‐Precursorfasern. CHEM-ING-TECH 2022. [DOI: 10.1002/cite.202100072] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
10
Galvanin F, Hartman RL, Kulkarni AA, Nieves-Remacha MJ. Introduction to the themed collection on digitalization in reaction engineering. REACT CHEM ENG 2022. [DOI: 10.1039/d2re90011d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
11
Machalek D, Quah T, Powell KM. A novel implicit hybrid machine learning model and its application for reinforcement learning. Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2021.107496] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
12
Generic Design Methodology for Smart Manufacturing Systems from a Practical Perspective, Part I—Digital Triad Concept and Its Application as a System Reference Model. MACHINES 2021. [DOI: 10.3390/machines9100207] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
13
A roadmap to AI-driven in silico process development: bioprocessing 4.0 in practice. Curr Opin Chem Eng 2021. [DOI: 10.1016/j.coche.2021.100692] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
14
Predicting the behavior of granules of complex shapes using coarse-grained particles and artificial neural networks. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2021.01.029] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
15
Song W, Du W, Fan C, Yang M, Qian F. Adaptive Weighted Hybrid Modeling of Hydrocracking Process and Its Operational Optimization. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.0c05416] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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