Promit Chakroborty

According to our database, Promit Chakroborty authored at least 5 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Covariance-Free Bifidelity Control Variates Importance Sampling for Rare Event Reliability Analysis.

Promit Chakroborty, Somayajulu L. N. Dhulipala, Michael D. Shields

SIAM/ASA J. Uncertain. Quantification, 2025

2023

UQpy v4.1: Uncertainty quantification with Python.

Dimitrios Tsapetis, Michael D. Shields, Dimitris G. Giovanis, Audrey Olivier, Lukás Novák, Promit Chakroborty, Himanshu Sharma, Mohit Singh Chauhan, Katiana Kontolati, Lohit Vandanapu, Dimitrios Loukrezis, Michael Gardner

SoftwareX, December, 2023

2022

Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation.

Somayajulu L. N. Dhulipala, Michael D. Shields, Promit Chakroborty, Wen Jiang, Benjamin W. Spencer, Jason D. Hales, Vincent M. Laboure, Zachary M. Prince, Chandrakanth Bolisetti, Yifeng Che

Reliab. Eng. Syst. Saf., 2022

Active learning with multifidelity modeling for efficient rare event simulation.

Somayajulu L. N. Dhulipala, Michael D. Shields, Benjamin W. Spencer, Chandrakanth Bolisetti, Andrew E. Slaughter, Vincent M. Laboure, Promit Chakroborty

J. Comput. Phys., 2022

General multi-fidelity surrogate models: Framework and active learning strategies for efficient rare event simulation.

Promit Chakroborty, Somayajulu L. N. Dhulipala, Yifeng Che, Wen Jiang, Benjamin W. Spencer, Jason D. Hales, Michael D. Shields

CoRR, 2022