| Physics-informed neural networks for solving nonlinear diffusivity and Biot’s equations T Kadeethum, TM Jørgensen, HM Nick PloS one 15 (5), e0232683, 2020 | 94 | 2020 |
| A framework for data-driven solution and parameter estimation of pdes using conditional generative adversarial networks T Kadeethum, D O’Malley, JN Fuhg, Y Choi, J Lee, HS Viswanathan, ... Nature Computational Science 1 (12), 819-829, 2021 | 71 | 2021 |
| Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques T Kadeethum, F Ballarin, Y Choi, D O’Malley, H Yoon, N Bouklas Advances in Water Resources 160, 104098, 2022 | 57 | 2022 |
| The effect of stress distribution on the shape and direction of hydraulic fractures in layered media S Salimzadeh, ED Hagerup, T Kadeethum, HM Nick Engineering Fracture Mechanics 215, 151-163, 2019 | 38 | 2019 |
| Flow in porous media with low dimensional fractures by employing enriched Galerkin method T Kadeethum, HM Nick, S Lee, F Ballarin Advances in Water Resources 142, 103620, 2020 | 30 | 2020 |
| Physics-Informed Neural Networks for Solving Inverse Problems of Nonlinear Biot's Equations: Batch Training T Kadeethum, TM Jørgensen, HM Nick 54th U.S. Rock Mechanics/Geomechanics Symposium, 2020 | 28 | 2020 |
| An investigation of hydromechanical effect on well productivity in fractured porous media using full factorial experimental design T Kadeethum, S Salimzadeh, HM Nick Journal of Petroleum Science and Engineering 181, 106233, 2019 | 26 | 2019 |
| Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties T Kadeethum, D O’Malley, Y Choi, HS Viswanathan, N Bouklas, H Yoon Computers & Geosciences 167, 105212, 2022 | 25 | 2022 |
| Data-driven reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation T Kadeethum, F Ballarin, N Bouklas GEM-International Journal on Geomathematics 12 (1), 12, 2021 | 24 | 2021 |
| A locally conservative mixed finite element framework for coupled hydro-mechanical–chemical processes in heterogeneous porous media T Kadeethum, S Lee, F Ballarin, J Choo, HM Nick Computers & Geosciences 152, 104774, 2021 | 24 | 2021 |
| Well productivity evaluation in deformable single-fracture media T Kadeethum, S Salimzadeh, HM Nick Geothermics 87, 101839, 2020 | 22 | 2020 |
| A novel enriched galerkin method for modelling coupled mechanical deformation in heterogeneous porous media T Kadeethum, HM Nick, S Lee, CN Richardson, S Salimzadeh, F Ballarin ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2019-0228, 2019 | 19 | 2019 |
| Reduced order modeling for flow and transport problems with Barlow Twins self-supervised learning T Kadeethum, F Ballarin, D O’malley, Y Choi, N Bouklas, H Yoon Scientific Reports 12 (1), 20654, 2022 | 17 | 2022 |
| Enhancing high-fidelity nonlinear solver with reduced order model T Kadeethum, D O’malley, F Ballarin, I Ang, JN Fuhg, N Bouklas, ... Scientific Reports 12 (1), 20229, 2022 | 15 | 2022 |
| Enriched Galerkin discretization for modeling poroelasticity and permeability alteration in heterogeneous porous media T Kadeethum, HM Nick, S Lee, F Ballarin Journal of Computational Physics 427, 110030, 2021 | 14 | 2021 |
| Continuous conditional generative adversarial networks for data-driven modelling of geologic CO2 storage and plume evolution M Stepien, CAS Ferreira, S Hosseinzadehsadati, T Kadeethum, HM Nick Gas Science and Engineering 115, 204982, 2023 | 11 | 2023 |
| Finite element solvers for Biot’s poroelasticity equations in porous media T Kadeethum, S Lee, HM Nick Mathematical Geosciences 52, 977-1015, 2020 | 11 | 2020 |
| Deep convolutional Ritz method: parametric PDE surrogates without labeled data JN Fuhg, A Karmarkar, T Kadeethum, H Yoon, N Bouklas Applied Mathematics and Mechanics 44 (7), 1151-1174, 2023 | 10 | 2023 |
| Overcome viscous fingering effect in heavy oil reservoirs by an optimized smart water injection scheme T Kadeethum, HK Sarma, BB Maini SPE Canada Heavy Oil Conference, D021S006R001, 2017 | 10 | 2017 |
| A framework for upscaling and modelling fluid flow for discrete fractures using conditional generative adversarial networks CAS Ferreira, T Kadeethum, N Bouklas, HM Nick Advances in Water Resources 166, 104264, 2022 | 9 | 2022 |
Hamid NickTechnical University of Denmark在 dtu.dk 的电子邮件经过验证
