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Teeratorn Kadeethum

Physics-informed neural networks for solving nonlinear diffusivity and Biot’s equations
2020 · Teeratorn Kadeethum, Thomas M. Jørgensen, et al. · PLoS ONE · 133
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A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks
2021 · Teeratorn Kadeethum, Daniel O’Malley, et al. · Nature Computational Science · 89
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Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: Comparison with linear subspace techniques
2022 · T. Kadeethum, F. Ballarin, et al. · Advances in Water Resources · 70
The effect of stress distribution on the shape and direction of hydraulic fractures in layered media
2019 · Saeed Salimzadeh, Eirik D. Hagerup, et al. · Engineering Fracture Mechanics · 38
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Continuous conditional generative adversarial networks for data-driven modelling of geologic CO 2 storage and plume evolution
2023 · Michal Stepien, Carlos A.S. Ferreira, et al. · Gas Science and Engineering · 37
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A locally conservative mixed finite element framework for coupled hydro-mechanical–chemical processes in heterogeneous porous media
2021 · T. Kadeethum, S. Lee, et al. · Computers & Geosciences · 34
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Flow in porous media with low dimensional fractures by employing enriched Galerkin method
2020 · T. Kadeethum, H.M. Nick, et al. · Advances in Water Resources · 34
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Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties
2022 · T. Kadeethum, D. O’Malley, et al. · Computers & Geosciences · 28
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An investigation of hydromechanical effect on well productivity in fractured porous media using full factorial experimental design
2019 · T. Kadeethum, S. Salimzadeh, et al. · Journal of Petroleum Science and Engineering · 27
Reduced order modeling for flow and transport problems with Barlow Twins self-supervised learning
2022 · Teeratorn Kadeethum, Francesco Ballarin, et al. · Scientific Reports · 24
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Data-driven reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation
2021 · Teeratorn Kadeethum, Francesco Ballarin, et al. · GEM - International Journal on Geomathematics · 24
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Deep convolutional Ritz method: parametric PDE surrogates without labeled data
2023 · J. N. Fuhg, A. Karmarkar, et al. · Applied Mathematics and Mechanics · 23
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Well productivity evaluation in deformable single-fracture media
2020 · T. Kadeethum, S. Salimzadeh, et al. · Geothermics · 23
Finite Element Solvers for Biot’s Poroelasticity Equations in Porous Media
2020 · T. Kadeethum, S. Lee, et al. · Mathematical Geosciences · 22
Unlocking Solutions: Innovative Approaches to Identifying and Mitigating the Environmental Impacts of Undocumented Orphan Wells in the United States
2024 · Daniel O’Malley, Andrew A. Delorey, et al. · Environmental Science & Technology · 21
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Enriched Galerkin discretization for modeling poroelasticity and permeability alteration in heterogeneous porous media
2020 · T. Kadeethum, H.M. Nick, et al. · Journal of Computational Physics · 20
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Physics-informed Neural Networks for Solving Inverse Problems of Nonlinear Biot's Equations: Batch Training
2020 · Kadeethum, Teeratorn, Jørgensen, Thomas M, et al. · arXiv (Cornell University) · 20
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Enhancing high-fidelity nonlinear solver with reduced order model
2022 · Teeratorn Kadeethum, Daniel O’Malley, et al. · Scientific Reports · 19
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Progressive transfer learning for advancing machine learning-based reduced-order modeling
2024 · Teeratorn Kadeethum, Daniel O’Malley, et al. · Scientific Reports · 15
An improved neural operator framework for large-scale CO2 storage operations
2024 · T. Kadeethum, S.J. Verzi, et al. · Geoenergy Science and Engineering · 15
A framework for upscaling and modelling fluid flow for discrete fractures using conditional generative adversarial networks
2022 · Carlos A.S. Ferreira, Teeratorn Kadeethum, et al. · Advances in Water Resources · 15
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Inferring fracture dilation and shear slip from surface deformation utilising trained surrogate models
2025 · Saeed Salimzadeh, Dane Kasperczyk, et al. · International Journal of Rock Mechanics and Mining Sciences · 9
A surrogate model for predicting ground surface deformation gradient induced by pressurized fractures
2023 · Saeed Salimzadeh, Dane Kasperczyk, et al. · Advances in Water Resources · 9
Aerial imagery dataset of lost oil wells
2024 · Anastasiia Kim, Teeratorn Kadeethum, et al. · Scientific Data · 8
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Data-scarce surrogate modeling of shock-induced pore collapse process
2024 · S. W. Cheung, Y. Choi, et al. · Shock Waves · 8
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Works count: 119
Citation count: 858
H-index: 18
I10-index: 21
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