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Promit Chakroborty · Study
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Promit Chakroborty
4 works
· latest 2023
· 1 institutions
cluster: provisional
ORCID 0000-0003-4752-3813
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Most cited in this library
Active learning with multifidelity modeling for efficient rare event simulation
2022 · 39 citations
Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation
2022 · 33 citations
UQpy v4.1: Uncertainty quantification with Python
2023 · 19 citations
General Multifidelity Surrogate Models: Framework and Active-Learning Strategies for Efficient Rare Event Simulation
2023 · 11 citations
Works
4 shown
UQpy v4.1: Uncertainty quantification with Python
SoftwareX
·
2023
·
11 authors
·
other
·
Open access
19
citations
General Multifidelity Surrogate Models: Framework and Active-Learning Strategies for Efficient Rare Event Simulation
Journal of Engineering Mechanics
·
2023
·
7 authors
·
Open access
11
citations
Active learning with multifidelity modeling for efficient rare event simulation
Journal of Computational Physics
·
2022
·
7 authors
·
Open access
39
citations
Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation
Reliability Engineering & System Safety
·
2022
·
10 authors
·
Open access
33
citations