| 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 | 25 | 2022 |
| 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 | 19 | 2022 |
| 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 | 15 | 2022 |
| Uqpy v4. 1: Uncertainty quantification with python D Tsapetis, MD Shields, DG Giovanis, A Olivier, L Novak, P Chakroborty, ... SoftwareX 24, 101561, 2023 | 7 | 2023 |
| 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 | 3 | 2023 |
| Covariance-free Multifidelity Control Variates Importance Sampling for Reliability Analysis of Rare Events P Chakroborty, SLN Dhulipala, MD Shields arXiv preprint arXiv:2405.03834, 2024 | | 2024 |
| 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 | | |
