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ORCIDSomayajulu L. N. Dhulipala
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Journal Articles
- 2023
[j5]Somayajulu L. N. Dhulipala
, Yifeng Che, Michael D. Shields:
Efficient Bayesian inference with latent Hamiltonian neural networks in No-U-Turn Sampling. J. Comput. Phys. 492: 112425 (2023)- [j4]Andrew E. Slaughter, Zachary M. Prince, Peter German, Ian Halvic, Wen Jiang, Benjamin W. Spencer, Somayajulu L. N. Dhulipala, Derek R. Gaston:
MOOSE Stochastic Tools: A module for performing parallel, memory-efficient in situ stochastic simulations. SoftwareX 22: 101345 (2023) - 2022
- [j3]Somayajulu L. N. Dhulipala, Michael D. Shields, Benjamin W. Spencer, Chandrakanth Bolisetti, Andrew E. Slaughter, Vincent M. Laboure, Promit Chakroborty:
Active learning with multifidelity modeling for efficient rare event simulation. J. Comput. Phys. 468: 111506 (2022) - [j2]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:
Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation. Reliab. Eng. Syst. Saf. 226: 108693 (2022) - 2020
- [j1]Somayajulu L. N. Dhulipala, Madeleine M. Flint:
Series of semi-Markov processes to model infrastructure resilience under multihazards. Reliab. Eng. Syst. Saf. 193: 106659 (2020)
Informal and Other Publications
- 2024
- [i6]Denny Thaler, Somayajulu L. N. Dhulipala, Franz Bamer, Bernd Markert, Michael D. Shields:
Reliability Analysis of Complex Systems using Subset Simulations with Hamiltonian Neural Networks. CoRR abs/2401.05244 (2024) - 2022
- [i5]Somayajulu L. N. Dhulipala, Ryan C. Hruska:
Efficient Interdependent Systems Recovery Modeling with DeepONets. CoRR abs/2206.10829 (2022) - [i4]Somayajulu L. N. Dhulipala, Yifeng Che, Michael D. Shields:
Bayesian Inference with Latent Hamiltonian Neural Networks. CoRR abs/2208.06120 (2022) - [i3]Somayajulu L. N. Dhulipala, Yifeng Che, Michael D. Shields:
Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian Inference. CoRR abs/2209.09349 (2022) - [i2]Promit Chakroborty, Somayajulu L. N. Dhulipala, Yifeng Che, Wen Jiang, Benjamin W. Spencer, Jason D. Hales, Michael D. Shields:
General multi-fidelity surrogate models: Framework and active learning strategies for efficient rare event simulation. CoRR abs/2212.03375 (2022) - 2021
- [i1]Somayajulu L. N. Dhulipala, Michael D. Shields, Benjamin W. Spencer, Chandrakanth Bolisetti, Andrew E. Slaughter, Vincent M. Laboure, Promit Chakroborty:
Active Learning with Multifidelity Modeling for Efficient Rare Event Simulation. CoRR abs/2106.13790 (2021)
Coauthor Index
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