Somayajulu L. N. Dhulipala
机构: Computational Scientist, Idaho National Lab
每年引用次数
引用次数
引用: 299
H-指数: 11
I10-指数 : 12
出版物: 57
Intensity measure adequacy assessment for nonlinear site response using Information Theory
Somayajulu L.N. Dhulipala , Adrian Rodriguez-Marek , Mahdi Bahrampouri
Soil Dynamics and Earthquake Engineering 134 106144
1
2020
Series of semi-Markov processes to model infrastructure resilience under multihazards
Somayajulu L.N. Dhulipala , Madeleine M. Flint
Reliability Engineering & System Safety 193 106659
6
2020
Developing a decision framework for multi-hazard design of resilient, sustainable buildings
M Flint , L Dhulipala , Y Shahtaheri , H Tahir
1st international conference on natural hazards and infrastructure (ICONHIC)
17
2016
Monte Carlo variance reduction in MOOSE stochastic tools module: Accelerating the failure analysis of nuclear reactor technologies
SL Dhulipala , Zachary M Prince , Andrew E Slaughter , Lynn B Munday
Proc., Int. Conf. on Physics of Reactors 2470 -2479
2
2022
Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation
Somayajulu LN Dhulipala , Michael D Shields , Promit Chakroborty , Wen Jiang
Reliability Engineering \& System Safety 226 108693
3
2022
Active learning with multifidelity modeling for efficient rare event simulation
Somayajulu LN Dhulipala , Michael D Shields , Benjamin W Spencer , Chandrakanth Bolisetti
Journal of Computational Physics 468 111506
11
2022
Accelerated statistical failure analysis of multifidelity TRISO fuel models
Somayajulu LN Dhulipala , Wen Jiang , Benjamin W Spencer , Jason D Hales
Journal of Nuclear Materials 563 153604
7
2022
MOOSE Stochastic Tools: A module for performing parallel, memory-efficient in situ stochastic simulations
Andrew E Slaughter , Zachary M Prince , Peter German , Ian Halvic
SoftwareX 22 101345
1
2023
Development, verification, and validation of comprehensive acoustic fluid-structure interaction capabilities in an open-source computational platform
Somayajulu LN Dhulipala , Chandrakanth Bolisetti , Lynn B Munday , William M Hoffman
Earthquake Engineering \& Structural Dynamics 51 ( 10) 2188 -2219
1
2022
Enhanced hamiltonian monte carlo simulations using hamiltonian neural networks
Denny Thaler , Somayajulu LN Dhulipala , Franz Bamer , Bernd Markert
PAMM 22 ( 1) e202200188 -e202200188
3
2023
Reliability Analysis of Complex Systems using Subset Simulations with Hamiltonian Neural Networks
Denny Thaler , Somayajulu LN Dhulipala , Franz Bamer , Bernd Markert
arXiv preprint arXiv:2401.05244
1
2024
Efficient Subset Simulation using Hamiltonian Neural Network enhanced Markov Chain Monte Carlo Methods
Denny Thaler , Somayajulu LN Dhulipala , Franz Bamer , Bernd Markert
General Multifidelity Surrogate Models: Framework and Active-Learning Strategies for Efficient Rare Event Simulation
Promit Chakroborty , Somayajulu LN Dhulipala , Yifeng Che , Wen Jiang
Journal of Engineering Mechanics 149 ( 12) 04023096 -04023096
4
2023
Efficient Bayesian inference with latent Hamiltonian neural networks in No-U-Turn Sampling
Somayajulu LN Dhulipala , Yifeng Che , Michael D Shields
Journal of Computational Physics 492 112425 -112425
2
2023
Bayesian Inference with Latent Hamiltonian Neural Networks
Somayajulu LN Dhulipala , Yifeng Che , Michael D Shields
arXiv preprint arXiv:2208.06120
2
2022
Multifidelity Active Learning for Failure Estimation of TRISO Nuclear Fuel
Somayajulu LN Dhulipala , Promit Chakroborty , Michael D Shields , Wen Jiang
arXiv preprint arXiv:2211.11115
2022
Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian Inference
Somayajulu LN Dhulipala , Yifeng Che , Michael D Shields
arXiv preprint arXiv:2209.09349
2022
Efficient high-fidelity TRISO statistical failure analysis using Bison: Applications to AGR-2 irradiation testing
Wen Jiang , Gyanender Singh , Jason D Hales , Aysenur Toptan
Journal of Nuclear Materials 562 153585 -153585
15
2022
Bayesian uncertainty quantification of tristructural isotropic particle fuel silver release: Decomposing model inadequacy plus experimental noise and parametric uncertainties
Somayajulu LN Dhulipala , Aysenur Toptan , Yifeng Che , Daniel Schwen
Journal of Nuclear Materials 588 154790 -154790
2024
Efficient interdependent systems recovery modeling with DeepONets
Somayajulu LN Dhulipala , Ryan C Hruska
2022 Resilience Week (RWS) 1 -6
4
2022