Teeratorn Kadeethum

22 papers Journal 21Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Partial Differential Equations in the Age of Machine Learning: A Critical Synthesis of Classical, Machine Learning, and Hybrid Methods. CoRR Mohammad Nooraiepour, Jakub Wiktor Both, Teeratorn Kadeethum, Saeid Sadeghnejad
2024	J	`jnl`	Harnessing Machine Learning and Data Fusion for Accurate Undocumented Well Identification in Satellite Images. Remote. Sens. Teeratorn Kadeethum, Christine Downs
2023	J	`jnl`	Data-scarce surrogate modeling of shock-induced pore collapse process. CoRR Siu Wun Cheung, Youngsoo Choi, H. Keo Springer, Teeratorn Kadeethum
2023	J	`jnl`	Efficient machine-learning surrogates for large-scale geological carbon and energy storage. CoRR Teeratorn Kadeethum, Stephen J. Verzi, Hongkyu Yoon
2023	J	`jnl`	Epistemic Uncertainty-Aware Barlow Twins Reduced Order Modeling for Nonlinear Contact Problems. IEEE Access Teeratorn Kadeethum, John D. Jakeman, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon
2023	J	`jnl`	Progressive reduced order modeling: empowering data-driven modeling with selective knowledge transfer. CoRR Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, Hari S. Viswanathan, Hongkyu Yoon
2022	J	`jnl`	Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties. Comput. Geosci. Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, Hari S. Viswanathan, Nikolaos Bouklas, Hongkyu Yoon
2022	J	`jnl`	Deep Convolutional Ritz Method: Parametric PDE surrogates without labeled data. CoRR Jan Niklas Fuhg, Arnav Karmarkar, Teeratorn Kadeethum, Hongkyu Yoon, Nikolaos Bouklas
2022	J	`jnl`	Reduced order modeling with Barlow Twins self-supervised learning: Navigating the space between linear and nonlinear solution manifolds. CoRR Teeratorn Kadeethum, Francesco Ballarin, Daniel O'Malley, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon
2021	J	`jnl`	A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks. CoRR Teeratorn Kadeethum, Daniel O'Malley, Jan Niklas Fuhg, Youngsoo Choi, Jonghyun Lee, Hari S. Viswanathan, Nikolaos Bouklas
2021	J	`jnl`	A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks. Nat. Comput. Sci. Teeratorn Kadeethum, Daniel O'Malley, Jan Niklas Fuhg, Youngsoo Choi, Jonghyun Lee, Hari S. Viswanathan, Nikolaos Bouklas
2021	J	`jnl`	A locally conservative mixed finite element framework for coupled hydro-mechanical-chemical processes in heterogeneous porous media. Comput. Geosci. Teeratorn Kadeethum, Sanghyun Lee, Francesco Ballarin, Jinhyun Choo, Hamidreza M. Nick
2021	J	`jnl`	Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties. CoRR Teeratorn Kadeethum, Dan O'Malley, Youngsoo Choi, Hari S. Viswanathan, Nikolaos Bouklas, Hongkyu Yoon
2021	J	`jnl`	Enriched Galerkin discretization for modeling poroelasticity and permeability alteration in heterogeneous porous media. J. Comput. Phys. Teeratorn Kadeethum, Hamidreza M. Nick, Sanghyun Lee, Francesco Ballarin
2021	J	`jnl`	Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques. CoRR Teeratorn Kadeethum, Francesco Ballarin, Youngsoo Choi, Daniel O'Malley, Hongkyu Yoon, Nikolaos Bouklas
2021	J	`jnl`	Non-intrusive reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation. CoRR Teeratorn Kadeethum, Francesco Ballarin, Nikolaos Bouklas
2021	—	`conf`	Physics-informed Neural Networks for Solving Coupled Flow and Transport System. AAAI Spring Symposium: MLPS Sanghyun Lee, Teeratorn Kadeethum
2020	J	`jnl`	A Locally Conservative Mixed Finite Element Framework for Coupled Hydro-Mechanical-Chemical Processes in Heterogeneous Porous Media. CoRR Teeratorn Kadeethum, Sanghyun Lee, Francesco Ballarin, Jinhyun Choo, Hamidreza M. Nick
2020	J	`jnl`	Choice of Interior Penalty Coefficient for Interior Penalty Discontinuous Galerkin Method for Biot's System by Employing Machine Learning. CoRR Sanghyun Lee, Teeratorn Kadeethum, Hamidreza M. Nick
2020	J	`jnl`	Enriched Galerkin Discretization for Modeling Poroelasticity and Permeability Alteration in Heterogeneous Porous Media. CoRR Teeratorn Kadeethum, Hamidreza M. Nick, Sanghyun Lee, Francesco Ballarin
2020	J	`jnl`	Physics-informed Neural Networks for Solving Inverse Problems of Nonlinear Biot's Equations: Batch Training. CoRR Teeratorn Kadeethum, Thomas M. Jørgensen, Hamidreza M. Nick
2020	J	`jnl`	Physics-informed Neural Networks for Solving Nonlinear Diffusivity and Biot's equations. CoRR Teeratorn Kadeethum, Thomas M. Jørgensen, Hamidreza M. Nick