A Discrete Neural Operator with Adaptive Sampling for Surrogate Modeling of Parametric Transient Darcy Flows in Porous Media
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Zhenglong, Zhang, Zhao, Yan, Xia, Zhai, Jiayu, Liu, Piyang, Zhang, Kai |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Nonlinear Expectation Inference for Efficient Uncertainty Quantification and History Matching of Transient Darcy Flows in Porous Media with Random Parameters Under Distribution Uncertainty
by: Zhang, Zhao, et al.
Published: (2023)
by: Zhang, Zhao, et al.
Published: (2023)
An Adaptive Subdomain Coupling Approach in Domain Decomposition for Multiphase Porous Media Flow
by: Li, Shizhe, et al.
Published: (2024)
by: Li, Shizhe, et al.
Published: (2024)
Predictive Moving Sample Method for Physics-Informed Neural Solvers of Time-Dependent PDEs
by: Xu, Beining, et al.
Published: (2026)
by: Xu, Beining, et al.
Published: (2026)
Deep Global Model Reduction Learning in Porous Media Flow Simulation
by: Cheung, Siu Wun, et al.
Published: (2018)
by: Cheung, Siu Wun, et al.
Published: (2018)
An Incremental SVD Method for Non-Fickian Flows in Porous Media: Addressing Storage and Computational Challenges
by: Chen, Gang, et al.
Published: (2023)
by: Chen, Gang, et al.
Published: (2023)
Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs
by: Tang, Kejun, et al.
Published: (2023)
by: Tang, Kejun, et al.
Published: (2023)
Variational Matrix-Learning Fourier Networks for Parametric Multiphysics Surrogates
by: Li, Xinyu, et al.
Published: (2026)
by: Li, Xinyu, et al.
Published: (2026)
Point Cloud Neural Operator for Parametric PDEs on Complex and Variable Geometries
by: Zeng, Chenyu, et al.
Published: (2025)
by: Zeng, Chenyu, et al.
Published: (2025)
Ensemble Score Filter for Data Assimilation of Two-Phase Flow Models in Porous Media
by: Hu, Ruoyu, et al.
Published: (2025)
by: Hu, Ruoyu, et al.
Published: (2025)
An Interior Penalty Discontinuous Galerkin Method for an Interface Model of Flow in Fractured Porous Media
by: Liu, Yong, et al.
Published: (2024)
by: Liu, Yong, et al.
Published: (2024)
Multiscale finite element method for Stokes-Darcy model
by: Hong, Yachen, et al.
Published: (2024)
by: Hong, Yachen, et al.
Published: (2024)
Adaptive Nonlinear Elimination Preconditioning for Transport in Fractured Porous Media
by: Chaabi, Omar, et al.
Published: (2025)
by: Chaabi, Omar, et al.
Published: (2025)
The pressure-robust weak Galerkin finite element method for Stokes-Darcy problem
by: Jia, Jiwei, et al.
Published: (2024)
by: Jia, Jiwei, et al.
Published: (2024)
Application of Deep Learning Reduced-Order Modeling for Single-Phase Flow in Faulted Porous Media
by: Ballini, Enrico, et al.
Published: (2024)
by: Ballini, Enrico, et al.
Published: (2024)
Parameter-robust Preconditioners for the Stokes-Darcy Coupled Problem without Fractional Operators
by: Boon, Wietse M., et al.
Published: (2025)
by: Boon, Wietse M., et al.
Published: (2025)
An Adaptive Machine Learning Framework for Fluid Flow in Dual-Network Porous Media
by: Maduri, V. S., et al.
Published: (2026)
by: Maduri, V. S., et al.
Published: (2026)
Pressure-robustness in Stokes-Darcy Optimal Control Problem with reconstruction operator
by: Li, Jingshi, et al.
Published: (2025)
by: Li, Jingshi, et al.
Published: (2025)
Analysis and Elimination of Numerical Pressure Dependency in Coupled Stokes-Darcy Problem
by: Zhang, Jiachuan
Published: (2025)
by: Zhang, Jiachuan
Published: (2025)
Energetic Variational Neural Network Discretizations of Gradient Flows
by: Hu, Ziqing, et al.
Published: (2022)
by: Hu, Ziqing, et al.
Published: (2022)
Quadrature Sampling of Parametric Models with Bi-fidelity Boosting
by: Cheng, Nuojin, et al.
Published: (2022)
by: Cheng, Nuojin, et al.
Published: (2022)
A Parallel and Adaptive Mesh-Free Method for Discontinuous Coefficient Fields in Heterogeneous Porous Media
by: Chawla, Kapil, et al.
Published: (2026)
by: Chawla, Kapil, et al.
Published: (2026)
Finite element method coupled with multiscale finite element method for the non-stationary Stokes-Darcy model
by: Hong, Yachen, et al.
Published: (2024)
by: Hong, Yachen, et al.
Published: (2024)
Conditional Pseudo-Reversible Normalizing Flow for Surrogate Modeling in Quantifying Uncertainty Propagation
by: Yang, Minglei, et al.
Published: (2024)
by: Yang, Minglei, et al.
Published: (2024)
Flow Through Porous Media: A Hopf-Cole Transformation Approach for Modeling Pressure-Dependent Viscosity
by: Maduri, V. S., et al.
Published: (2025)
by: Maduri, V. S., et al.
Published: (2025)
Nodal Hybrid Neural Solvers for Parametric PDE Systems
by: Liu, Yun, et al.
Published: (2025)
by: Liu, Yun, et al.
Published: (2025)
Parametric Shape Holomorphy of Boundary Integral Operators with Applications
by: Dölz, Jürgen, et al.
Published: (2023)
by: Dölz, Jürgen, et al.
Published: (2023)
A mortar method for the coupled Stokes-Darcy problem using the MAC scheme for Stokes and mixed finite elements for Darcy
by: Boon, Wietse M., et al.
Published: (2024)
by: Boon, Wietse M., et al.
Published: (2024)
The Parametric Complexity of Operator Learning
by: Lanthaler, Samuel, et al.
Published: (2023)
by: Lanthaler, Samuel, et al.
Published: (2023)
On a Modified Random Genetic Drift Model: Derivation and a Structure-Preserving Operator-Splitting Discretization
by: Chen, Chi-An, et al.
Published: (2025)
by: Chen, Chi-An, et al.
Published: (2025)
Data-driven Closure Strategies for Parametrized Reduced Order Models via Deep Operator Networks
by: Ivagnes, Anna, et al.
Published: (2025)
by: Ivagnes, Anna, et al.
Published: (2025)
Extended Physics Informed Neural Network for Hyperbolic Two-Phase Flow in Porous Media
by: Rehman, Saif Ur, et al.
Published: (2025)
by: Rehman, Saif Ur, et al.
Published: (2025)
MODNO: Multi Operator Learning With Distributed Neural Operators
by: Zhang, Zecheng
Published: (2024)
by: Zhang, Zecheng
Published: (2024)
$\bf H(\mathrm{curl}^2)$ conforming element for Maxwell's transmission eigenvalue problem using fixed-point approach
by: Han, Jiayu, et al.
Published: (2022)
by: Han, Jiayu, et al.
Published: (2022)
ReBaNO: Reduced Basis Neural Operator Mitigating Generalization Gaps and Achieving Discretization Invariance
by: Zheng, Haolan, et al.
Published: (2025)
by: Zheng, Haolan, et al.
Published: (2025)
Physics-Informed Tailored Finite Point Operator Network for Parametric Interface Problems
by: Du, Ting, et al.
Published: (2024)
by: Du, Ting, et al.
Published: (2024)
Convolutional Surrogate for 3D Discrete Fracture-Matrix Tensor Upscaling
by: Špetlík, Martin, et al.
Published: (2026)
by: Špetlík, Martin, et al.
Published: (2026)
Discretization in Multilayered Media with High Contrasts: Is It All About the Boundaries?
by: Carvalho, Camille, et al.
Published: (2026)
by: Carvalho, Camille, et al.
Published: (2026)
ZNO: Stable Rational Neural Operators in the Z-Domain for Discrete-Time Dynamics
by: Zhu, Xianli, et al.
Published: (2026)
by: Zhu, Xianli, et al.
Published: (2026)
Parameter-robust preconditioner for Stokes-Darcy coupled problem with Lagrange multiplier
by: Hu, Xiaozhe, et al.
Published: (2025)
by: Hu, Xiaozhe, et al.
Published: (2025)
An efficient multiscale multigrid preconditioner for Darcy flow in high-contrast media
by: Ye, Changqing, et al.
Published: (2024)
by: Ye, Changqing, et al.
Published: (2024)
Similar Items
-
Nonlinear Expectation Inference for Efficient Uncertainty Quantification and History Matching of Transient Darcy Flows in Porous Media with Random Parameters Under Distribution Uncertainty
by: Zhang, Zhao, et al.
Published: (2023) -
An Adaptive Subdomain Coupling Approach in Domain Decomposition for Multiphase Porous Media Flow
by: Li, Shizhe, et al.
Published: (2024) -
Predictive Moving Sample Method for Physics-Informed Neural Solvers of Time-Dependent PDEs
by: Xu, Beining, et al.
Published: (2026) -
Deep Global Model Reduction Learning in Porous Media Flow Simulation
by: Cheung, Siu Wun, et al.
Published: (2018) -
An Incremental SVD Method for Non-Fickian Flows in Porous Media: Addressing Storage and Computational Challenges
by: Chen, Gang, et al.
Published: (2023)