Hongkyu Yoon

According to our database, Hongkyu Yoon authored at least 15 papers between 2020 and 2023.

Collaborative distances:

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

2023

Efficient machine-learning surrogates for large-scale geological carbon and energy storage.

Teeratorn Kadeethum, Stephen J. Verzi, Hongkyu Yoon

CoRR, 2023

Progressive reduced order modeling: empowering data-driven modeling with selective knowledge transfer.

Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, Hari S. Viswanathan, Hongkyu Yoon

CoRR, 2023

Subsurface Characterization using Ensemble-based Approaches with Deep Generative Models.

Jichao Bao, Hongkyu Yoon, Jonghyun Lee

CoRR, 2023

Epistemic Uncertainty-Aware Barlow Twins Reduced Order Modeling for Nonlinear Contact Problems.

Teeratorn Kadeethum, John D. Jakeman, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon

IEEE Access, 2023

2022

Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties.

Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, Hari S. Viswanathan, Nikolaos Bouklas, Hongkyu Yoon

Comput. Geosci., 2022

Deep Convolutional Ritz Method: Parametric PDE surrogates without labeled data.

Jan Niklas Fuhg, Arnav Karmarkar, Teeratorn Kadeethum, Hongkyu Yoon, Nikolaos Bouklas

CoRR, 2022

Reduced order modeling with Barlow Twins self-supervised learning: Navigating the space between linear and nonlinear solution manifolds.

Teeratorn Kadeethum, Francesco Ballarin, Daniel O'Malley, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon

CoRR, 2022

Machine Learning in Heterogeneous Porous Materials.

Marta D'Elia, Hang Deng, Cedric G. Fraces, Krishna C. Garikipati, Lori Graham-Brady, Amanda A. Howard, George Em Karniadakis, Vahid Keshavarzzadeh, Robert M. Kirby, J. Nathan Kutz, Chunhui Li, Xing Liu, Hannah Lu, Pania Newell, Daniel O'Malley, Masa Prodanovic, Gowri Srinivasan, Alexandre M. Tartakovsky, Daniel M. Tartakovsky, Hamdi A. Tchelepi, Bozo Vazic, Hari S. Viswanathan, Hongkyu Yoon, Piotr Zarzycki

CoRR, 2022

2021

Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques.

Teeratorn Kadeethum, Francesco Ballarin, Youngsoo Choi, Daniel O'Malley, Hongkyu Yoon, Nikolaos Bouklas

CoRR, 2021

Neurodynamical Role of STDP in Storage and Retrieval of Associative Information.

Hongkyu Yoon, Pilwon Kim

CoRR, 2021

Applications of physics-informed scientific machine learning in subsurface science: A survey.

Alexander Y. Sun, Hongkyu Yoon, Chung-Yan Shih, Zhi Zhong

CoRR, 2021

Machine Learning Application for Permeability Estimation of Three-Dimensional Rock Images.

Hongkyu Yoon, Darryl J. Melander, Stephen J. Verzi

Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

2020

Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks.

Sung Eun Kim, Hongkyu Yoon, Jonghyun Lee

CoRR, 2020

Connectivity-informed Drainage Network Generation using Deep Convolution Generative Adversarial Networks.

Sung Eun Kim, Yongwon Seo, Junshik Hwang, Hongkyu Yoon, Jonghyun Lee

CoRR, 2020

Permeability Prediction of Porous Media using Convolutional Neural Networks with Physical Properties.

Hongkyu Yoon, Darryl J. Melander, Stephen J. Verzi

Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 23rd - to, 2020