Dewen Yushu

According to our database, Dewen Yushu authored at least 5 papers between 2020 and 2023.

Collaborative distances:

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

2023

Enabling scientific machine learning in MOOSE using Libtorch.

Peter German, Dewen Yushu

SoftwareX, July, 2023

Reduced Order Modeling of a MOOSE-based Advanced Manufacturing Model with Operator Learning.

Mahmoud Yaseen, Dewen Yushu, Peter German, Xu Wu

CoRR, 2023

Fast and Accurate Reduced-Order Modeling of a MOOSE-based Additive Manufacturing Model with Operator Learning.

Mahmoud Yaseen, Dewen Yushu, Peter German, Xu Wu

CoRR, 2023

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 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

2020

The image-based multiscale multigrid solver, preconditioner, and reduced order model.

Dewen Yushu, Karel Matous

J. Comput. Phys., 2020