Jason D. Hales

According to our database, Jason D. Hales authored at least 3 papers in 2022.

Collaborative distances:

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

2022

2.0 - MOOSE: Enabling massively parallel multiphysics simulation.

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, Logan H. Harbour, Guillaume L. Giudicelli, Roy H. Stogner, Peter German, Jacob C. Badger, Sudipta Biswas, Leora Chapuis, Christopher Green, Jason D. Hales, Tianchen Hu, Wen Jiang, Yeon Sang Jung, Christopher Matthews, Yinbin Miao, April Novak, John W. Peterson, Zachary M. Prince, Andrea Rovinelli, Sebastian Schunert, Daniel Schwen, Benjamin W. Spencer, Swetha Veeraraghavan, Antonio M. Recuero, Dewen Yushu, Yaqi Wang, Andy H. Wilkins, Christopher Wong

SoftwareX, December, 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

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