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Citation(s) in
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For:
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
]
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[Indexed: 01/06/2023]
Number
Cited by Other Article(s)
1
Kimaev G
, Ricardez-Sandoval LA. Artificial Neural Networks for dynamic optimization of stochastic multiscale systems subject to uncertainty.
Chem Eng Res Des
2020. [DOI:
10.1016/j.cherd.2020.06.017
]
[
Citation(s) in
RCA
: 7
]
[
Impact Index Per Article: 1.8
]
[
Reference Citation Analysis
]
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[Indexed: 11/16/2022]
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2
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
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[Indexed: 01/21/2023]
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Affiliation(s)
Grigoriy Kimaev
Deparment of Chemical EngineeringUniversity of Waterloo Waterloo Ontario Canada
Donovan Chaffart
Deparment of Chemical EngineeringUniversity of Waterloo Waterloo Ontario Canada
Luis A. Ricardez‐Sandoval
Deparment of Chemical EngineeringUniversity of Waterloo Waterloo Ontario Canada
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3
Kimaev G
, Ricardez-Sandoval LA. Nonlinear model predictive control of a multiscale thin film deposition process using artificial neural networks.
Chem Eng Sci
2019. [DOI:
10.1016/j.ces.2019.07.044
]
[
Citation(s) in
RCA
: 27
]
[
Impact Index Per Article: 5.4
]
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[Indexed: 02/07/2023]
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