关注
Promit Chakroborty
Promit Chakroborty
Ph.D. Student, Dept of Civil and Systems Engg., Johns Hopkins University
在 jhu.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
262022
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
212022
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
92023
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
42023
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
Efficient Reliability Analysis using Generalized Multifidelity Modeling and Explainable Active Learning
P Chakroborty, M Shields, SLN Dhulipala
Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2023
2023
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
系统目前无法执行此操作,请稍后再试。
文章 1–8