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Promit Chakroborty
Promit Chakroborty
Ph.D. Student, Dept of Civil and Systems Engg., Johns Hopkins University
Verified email at jhu.edu
Title
Cited by
Cited by
Year
Active learning with multifidelity modeling for efficient rare event simulation
SLN Dhulipala, MD Shields, BW Spencer, C Bolisetti, AE Slaughter, ...
Journal of Computational Physics 468, 111506, 2022
242022
Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation
SLN Dhulipala, MD Shields, P Chakroborty, W Jiang, BW Spencer, ...
Reliability Engineering & System Safety 226, 108693, 2022
192022
Accelerated statistical failure analysis of multifidelity TRISO fuel models
SLN Dhulipala, W Jiang, BW Spencer, JD Hales, MD Shields, ...
Journal of Nuclear Materials 563, 153604, 2022
152022
Uqpy v4. 1: Uncertainty quantification with python
D Tsapetis, MD Shields, DG Giovanis, A Olivier, L Novak, P Chakroborty, ...
SoftwareX 24, 101561, 2023
72023
General Multifidelity Surrogate Models: Framework and Active-Learning Strategies for Efficient Rare Event Simulation
P Chakroborty, SLN Dhulipala, Y Che, W Jiang, BW Spencer, JD Hales, ...
Journal of Engineering Mechanics 149 (12), 04023096, 2023
22023
Multifidelity Active Learning for Failure Estimation of TRISO Nuclear Fuel
SLN Dhulipala, P Chakroborty, MD Shields, W Jiang, BW Spencer, ...
arXiv preprint arXiv:2211.11115, 2022
2022
Efficient Reliability Analysis using Generalized Multifidelity Modeling and Explainable Active Learning
P Chakroborty, SLN Dhulipala, MD Shields
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