Jun Sur Richard Park

According to our database, Jun Sur Richard Park authored at least 10 papers between 2019 and 2026.

Collaborative distances:

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

2026

WGFINNs: Weak formulation-based GENERIC formalism informed neural networks.

Jun Sur Richard Park, Auroni Huque Hashim, Siu Wun Cheung, Youngsoo Choi, Yeonjong Shin

CoRR, April, 2026

2024

A non-intrusive bi-fidelity reduced basis method for time-independent problems.

Jun Sur Richard Park, Xueyu Zhu

J. Comput. Phys., 2024

A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling.

Christophe Bonneville, Xiaolong He, April Tran, Jun Sur Richard Park, William Fries, Daniel A. Messenger, Siu Wun Cheung, Yeonjong Shin, David M. Bortz, Debojyoti Ghosh, Jiun-Shyan Chen, Jonathan L. Belof, Youngsoo Choi

CoRR, 2024

tLaSDI: Thermodynamics-informed latent space dynamics identification.

Jun Sur Richard Park, Siu Wun Cheung, Youngsoo Choi, Yeonjong Shin

CoRR, 2024

2023

Constraint energy minimizing generalized multiscale finite element method for multi-continuum Richards equations.

Tina Mai, Siu Wun Cheung, Jun Sur Richard Park

J. Comput. Phys., March, 2023

2022

Physics-informed neural networks for learning the homogenized coefficients of multiscale elliptic equations.

Jun Sur Richard Park, Xueyu Zhu

J. Comput. Phys., 2022

2021

Multiscale simulations for multi-continuum Richards equations.

Jun Sur Richard Park, Siu Wun Cheung, Tina Mai

J. Comput. Appl. Math., 2021

2020

Hierarchical multiscale finite element method for multi-continuum media.

Jun Sur Richard Park, Viet Ha Hoang

J. Comput. Appl. Math., 2020

Multiscale simulations for upscaled multi-continuum flows.

Jun Sur Richard Park, Siu Wun Cheung, Tina Mai, Viet Ha Hoang

J. Comput. Appl. Math., 2020

2019

Homogenization of a multiscale multi-continuum system.

Jun Sur Richard Park, Viet Ha Hoang

CoRR, 2019