no code implementations • 19 Feb 2024 • Phong C. H. Nguyen, Xinlun Cheng, Shahab Azarfar, Pradeep Seshadri, Yen T. Nguyen, Munho Kim, Sanghun Choi, H. S. Udaykumar, Stephen Baek
We extend the capabilities of PARC to simulate unsteady, transient, and advection-dominant systems.
no code implementations • 22 Mar 2023 • Phong C. H. Nguyen, Joseph B. Choi, H. S. Udaykumar, Stephen Baek
Recently, machine learning (ML) has emerged as a promising solution that can either serve as a surrogate for, accelerate or augment traditional numerical methods.
no code implementations • 15 Nov 2022 • Joseph B. Choi, Phong C. H. Nguyen, Oishik Sen, H. S. Udaykumar, Stephen Baek
Specifically, methods in the literature are evaluated in terms of their capacity to learn from a small/limited number of data, computational complexity, generalizability/scalability to other material species and operating conditions, interpretability of the model predictions, and the burden of supervision/data annotation.
1 code implementation • 8 Nov 2022 • Phong C. H. Nguyen, Yen-Thi Nguyen, Pradeep K. Seshadri, Joseph B. Choi, H. S. Udaykumar, Stephen Baek
We introduce a new approach for SDT simulation by using deep learning to model the mesoscale energy localization of shock-initiated EM microstructures.
1 code implementation • 4 Apr 2022 • Phong C. H. Nguyen, Yen-Thi Nguyen, Joseph B. Choi, Pradeep K. Seshadri, H. S. Udaykumar, Stephen Baek
The thermo-mechanical response of shock-initiated energetic materials (EM) is highly influenced by their microstructures, presenting an opportunity to engineer EM microstructure in a "materials-by-design" framework.