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For: Kimaev G, Ricardez‐Sandoval LA. Multilevel Monte Carlo applied to chemical engineering systems subject to uncertainty. AIChE J 2017. [DOI: 10.1002/aic.16045] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Number Cited by Other Article(s)
1
Hughes R, Kotamreddy G, Bhattacharyya D, Omell B, Matuszewski M. Modeling and Bayesian Uncertainty Quantification of a Membrane-Assisted Chilled Ammonia Process for CO2 Capture. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.1c04601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
2
Guan Y, Chaffart D, Liu G, Tan Z, Zhang D, Wang Y, Li J, Ricardez-Sandoval L. Machine learning in solid heterogeneous catalysis: Recent developments, challenges and perspectives. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2021.117224] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
3
Zheng H, Ricardez-Sandoval L, Budman H. Robust estimation and economic predictive control for dynamic metabolic flux systems under probabilistic uncertainty. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2020.106918] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
4
Kimaev G, Chaffart D, Ricardez‐Sandoval LA. Multilevel Monte Carlo applied for uncertainty quantification in stochastic multiscale systems. AIChE J 2020. [DOI: 10.1002/aic.16262] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
5
Ganesh A, Zhang B, Chalaturnyk RJ, Prasad V. Uncertainty quantification of the factor of safety in a steam-assisted gravity drainage process through polynomial chaos expansion. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2019.106663] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
6
Kimaev G, Ricardez-Sandoval LA. Multilevel Monte Carlo for noise estimation in stochastic multiscale systems. Chem Eng Res Des 2018. [DOI: 10.1016/j.cherd.2018.10.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
7
Luu Trung Duong P, Quang Minh L, Abdul Qyyum M, Lee M. Sparse Bayesian learning for data driven polynomial chaos expansion with application to chemical processes. Chem Eng Res Des 2018. [DOI: 10.1016/j.cherd.2018.08.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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