受强制性开放获取政策约束的文章 - Teeratorn Kadeethum了解详情
无法在其他位置公开访问的文章：1 篇
A Predictive DeepONet Model of CO2 Plume Propagation in Geological Formations Based on Sparse Well Data
CAS Ferreira, M Pianos, S Hosseinzadehsadati, J Tian, T Kadeethum, ...
The Fourth EAGE Global Energy Transition Conference and Exhibition 2023 (1), 1-5, 2023
强制性开放获取政策： US Department of Energy
可在其他位置公开访问的文章：36 篇
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
强制性开放获取政策： US Department of Energy
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
强制性开放获取政策： US Department of Energy, European Commission
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
强制性开放获取政策： European Commission
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
强制性开放获取政策： European Commission
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
强制性开放获取政策： US Department of Energy
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
强制性开放获取政策： European Commission
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
强制性开放获取政策： US National Science Foundation, European Commission, Research Grants Council …
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
强制性开放获取政策： US Department of Energy, European Commission
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
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
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
强制性开放获取政策： US National Science Foundation, European Commission
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
强制性开放获取政策： US Department of Energy
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
强制性开放获取政策： US Department of Energy
Finite element solvers for Biot’s poroelasticity equations in porous media
T Kadeethum, S Lee, HM Nick
Mathematical Geosciences 52, 977-1015, 2020
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： US Department of Energy
Deep learning-based data assimilation in the latent space for real-time forecasting of geologic carbon storage.
H Yoon, JH Lee, T Kadeethum
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
强制性开放获取政策： US Department of Energy
Reduced order modeling with Barlow Twins self-supervised learning: Navigating the space between linear and nonlinear solution manifolds.
T Kadeethum, H Yoon
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
强制性开放获取政策： US Department of Energy
Epistemic uncertainty-aware Barlow twins reduced order modeling for nonlinear contact problems
T Kadeethum, JD Jakeman, Y Choi, N Bouklas, H Yoon
IEEE Access 11, 62970-62985, 2023
强制性开放获取政策： US Department of Energy, US Department of Defense
Predicting the CO2 propagation in geological formations from sparsely available well data
CAS Ferreira, M Stepien, S Hosseinzadehsadati, T Kadeethum, HM Nick
16th International Conference on Greenhouse Gas Control Technologies, 2022
强制性开放获取政策： US Department of Energy
A surrogate model for predicting ground surface deformation gradient induced by pressurized fractures
S Salimzadeh, D Kasperczyk, T Kadeethum
Advances in Water Resources 181, 104556, 2023
强制性开放获取政策： US Department of Energy
出版信息和资助信息由计算机程序自动确定