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Benjamin W. Spencer
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2020 – today
- 2024
- [j5]Guillaume L. Giudicelli
, Alexander D. Lindsay, Logan H. Harbour, Casey Icenhour
3.0 - MOOSE: Enabling massively parallel multiphysics simulations. SoftwareX 26: 101690 (2024) - 2023
- [j4]Andrew E. Slaughter, Zachary M. Prince
MOOSE Stochastic Tools: A module for performing parallel, memory-efficient in situ stochastic simulations. SoftwareX 22: 101345 (2023) - 2022
- [j3]Somayajulu L. N. Dhulipala
Active learning with multifidelity modeling for efficient rare event simulation. J. Comput. Phys. 468: 111506 (2022) - [j2]Somayajulu L. N. Dhulipala
Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation. Reliab. Eng. Syst. Saf. 226: 108693 (2022) - [j1]Alexander D. Lindsay, Derek R. Gaston, Cody J. Permann, Jason M. Miller, David Andrs, Andrew E. Slaughter, Fande Kong, Joshua Hansel, Robert W. Carlsen, Casey Icenhour
2.0 - MOOSE: Enabling massively parallel multiphysics simulation. SoftwareX 20: 101202 (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)
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