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For: Thebelt A, Wiebe J, Kronqvist J, Tsay C, Misener R. Maximizing information from chemical engineering data sets: Applications to machine learning. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2022.117469] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Number Cited by Other Article(s)
1
Aghayev Z, Szafran AT, Tran A, Ganesh HS, Stossi F, Zhou L, Mancini MA, Pistikopoulos EN, Beykal B. Machine Learning Methods for Endocrine Disrupting Potential Identification Based on Single-Cell Data. Chem Eng Sci 2023;281:119086. [PMID: 37637227 PMCID: PMC10448728 DOI: 10.1016/j.ces.2023.119086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/29/2023]
2
Koksal ES, Aydin E. Physics Informed Piecewise Linear Neural Networks for Process Optimization. Comput Chem Eng 2023. [DOI: 10.1016/j.compchemeng.2023.108244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
3
Galeazzi A, Prifti K, Cortellini C, Di Pretoro A, Gallo F, Manenti F. Development of a surrogate model of an amine scrubbing digital twin using machine learning methods. Comput Chem Eng 2023. [DOI: 10.1016/j.compchemeng.2023.108252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/09/2023]
4
Kappatou CD, Odgers J, García-Muñoz S, Misener R. An Optimization Approach Coupling Preprocessing with Model Regression for Enhanced Chemometrics. Ind Eng Chem Res 2023;62:6196-6213. [PMID: 37097815 PMCID: PMC10119938 DOI: 10.1021/acs.iecr.2c04583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 03/02/2023] [Accepted: 03/27/2023] [Indexed: 04/09/2023]
5
Folch JP, Lee RM, Shafei B, Walz D, Tsay C, van der Wilk M, Misener R. Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization. Comput Chem Eng 2023. [DOI: 10.1016/j.compchemeng.2023.108194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
6
Wang J, Tian K, Li D, Chen M, Feng X, Zhang Y, Wang Y, Van der Bruggen B. Machine learning in gas separation membrane developing: ready for prime time. Sep Purif Technol 2023. [DOI: 10.1016/j.seppur.2023.123493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2023]
7
Physics-Informed Recurrent Neural Networks and Hyper-parameter Optimization for Dynamic Process Systems. Comput Chem Eng 2023. [DOI: 10.1016/j.compchemeng.2023.108195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2023]
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