Teeratorn Kadeethum

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Supervised Classifiers

Top Venues

Comput. Geosci.

J. Comput. Phys.

Publications

Teeratorn Kadeethum, Christine Downs
Harnessing Machine Learning and Data Fusion for Accurate Undocumented Well Identification in Satellite Images. Remote. Sens. 16 (12) (2024)
Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, Hari S. Viswanathan, Hongkyu Yoon
Progressive reduced order modeling: empowering data-driven modeling with selective knowledge transfer. CoRR (2023)
Teeratorn Kadeethum, Stephen J. Verzi, Hongkyu Yoon
Efficient machine-learning surrogates for large-scale geological carbon and energy storage. CoRR (2023)
Siu Wun Cheung, Youngsoo Choi, H. Keo Springer, Teeratorn Kadeethum
Data-scarce surrogate modeling of shock-induced pore collapse process. CoRR (2023)
Teeratorn Kadeethum, John D. Jakeman, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon
Epistemic Uncertainty-Aware Barlow Twins Reduced Order Modeling for Nonlinear Contact Problems. IEEE Access 11 (2023)
Jan Niklas Fuhg, Arnav Karmarkar, Teeratorn Kadeethum, Hongkyu Yoon, Nikolaos Bouklas
Deep Convolutional Ritz Method: Parametric PDE surrogates without labeled data. CoRR (2022)
Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, Hari S. Viswanathan, Nikolaos Bouklas, Hongkyu Yoon
Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties. Comput. Geosci. 167 (2022)
Teeratorn Kadeethum, Francesco Ballarin, Daniel O'Malley, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon
Reduced order modeling with Barlow Twins self-supervised learning: Navigating the space between linear and nonlinear solution manifolds. CoRR (2022)
Teeratorn Kadeethum, Sanghyun Lee, Francesco Ballarin, J. Choo, Hamidreza M. Nick
A locally conservative mixed finite element framework for coupled hydro-mechanical-chemical processes in heterogeneous porous media. Comput. Geosci. 152 (2021)
Teeratorn Kadeethum, Daniel O'Malley, Jan Niklas Fuhg, Youngsoo Choi, Jonghyun Lee, Hari S. Viswanathan, Nikolaos Bouklas
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks. Nat. Comput. Sci. 1 (12) (2021)
Teeratorn Kadeethum, Francesco Ballarin, Y. Choi, Daniel O'Malley, H. Yoon, Nikolaos Bouklas
Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques. CoRR (2021)
Sanghyun Lee, Teeratorn Kadeethum
Physics-informed Neural Networks for Solving Coupled Flow and Transport System. AAAI Spring Symposium: MLPS (2021)
Teeratorn Kadeethum, Hamidreza M. Nick, Sanghyun Lee, Francesco Ballarin
Enriched Galerkin discretization for modeling poroelasticity and permeability alteration in heterogeneous porous media. J. Comput. Phys. 427 (2021)
Teeratorn Kadeethum, Daniel O'Malley, Jan Niklas Fuhg, Youngsoo Choi, Jonghyun Lee, Hari S. Viswanathan, Nikolaos Bouklas
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks. CoRR (2021)
Teeratorn Kadeethum, Dan O'Malley, Y. Choi, Hari S. Viswanathan, Nikolaos Bouklas, Hongkyu Yoon
Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties. CoRR (2021)
Teeratorn Kadeethum, Francesco Ballarin, Nikolaos Bouklas
Non-intrusive reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation. CoRR (2021)
Sanghyun Lee, Teeratorn Kadeethum, Hamidreza M. Nick
Choice of Interior Penalty Coefficient for Interior Penalty Discontinuous Galerkin Method for Biot's System by Employing Machine Learning. CoRR (2020)
Teeratorn Kadeethum, Thomas M. Jørgensen, Hamidreza M. Nick
Physics-informed Neural Networks for Solving Nonlinear Diffusivity and Biot's equations. CoRR (2020)
Teeratorn Kadeethum, Hamidreza M. Nick, Sanghyun Lee, Francesco Ballarin
Enriched Galerkin Discretization for Modeling Poroelasticity and Permeability Alteration in Heterogeneous Porous Media. CoRR (2020)
Teeratorn Kadeethum, Thomas M. Jørgensen, Hamidreza M. Nick
Physics-informed Neural Networks for Solving Inverse Problems of Nonlinear Biot's Equations: Batch Training. CoRR (2020)
Teeratorn Kadeethum, Sanghyun Lee, Francesco Ballarin, J. Choo, Hamidreza M. Nick
A Locally Conservative Mixed Finite Element Framework for Coupled Hydro-Mechanical-Chemical Processes in Heterogeneous Porous Media. CoRR (2020)