Exploring Neural Network Surrogates for High-Order Mesh-Free Interpolants
Fuente:
arXiv
Saved in:
| Main Authors: | Starepravo, Lucas Gerken, Fourtakas, Georgios, Lind, Steven, Harish, Ajay, King, Jack R. C. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning Mesh-Free Discrete Differential Operators with Self-Supervised Graph Neural Networks
by: Starepravo, Lucas Gerken, et al.
Published: (2026)
by: Starepravo, Lucas Gerken, et al.
Published: (2026)
Divergence cleaning for weakly compressible smoothed particle hydrodynamics
by: Fourtakas, Georgios, et al.
Published: (2024)
by: Fourtakas, Georgios, et al.
Published: (2024)
Framework for uncertainty quantification of wave-structure interaction in a flume
by: Luo, Xiaoyuan, et al.
Published: (2024)
by: Luo, Xiaoyuan, et al.
Published: (2024)
Neural Network Surrogates for Free Energy Computation of Complex Chemical Systems
by: Pornpatcharapong, Wasut
Published: (2025)
by: Pornpatcharapong, Wasut
Published: (2025)
Second-Order Adjoint Method for Quantum Optimal Control
by: Bhat, Harish S.
Published: (2025)
by: Bhat, Harish S.
Published: (2025)
Reduced-Order Surrogates for Forced Flexible Mesh Coastal-Ocean Models
by: Petersen, Freja Høgholm, et al.
Published: (2026)
by: Petersen, Freja Høgholm, et al.
Published: (2026)
A mesh-free framework for high-order simulations of viscoelastic flows in complex geometries
by: King, Jack R. C., et al.
Published: (2023)
by: King, Jack R. C., et al.
Published: (2023)
Domain-Decomposed Graph Neural Network Surrogate Modeling for Ice Sheets
by: Propp, Adrienne M., et al.
Published: (2025)
by: Propp, Adrienne M., et al.
Published: (2025)
Neural Networks as Effective Surrogate Models of Radio-Frequency Quadrupole Particle Accelerator Simulations
by: Villarreal, Joshua, et al.
Published: (2022)
by: Villarreal, Joshua, et al.
Published: (2022)
H3PC: Hypersonic, High-Order, High-Performance Code with Adaptive Mesh Refinement and Real Chemistry
by: Peyvan, Ahmad, et al.
Published: (2025)
by: Peyvan, Ahmad, et al.
Published: (2025)
An Efficient and Accurate Surrogate Modeling of Flapping Dynamics in Inverted Elastic Foils using Hypergraph Neural Networks
by: Parekh, Aarshana R., et al.
Published: (2025)
by: Parekh, Aarshana R., et al.
Published: (2025)
Data-Driven Surrogate Modeling of DSMC Solutions Using Deep Neural Networks
by: Roohi, Ehsan, et al.
Published: (2025)
by: Roohi, Ehsan, et al.
Published: (2025)
Sequential Neural Operator Transformer for High-Fidelity Surrogates of Time-Dependent Non-linear Partial Differential Equations
by: Liu, Qibang, et al.
Published: (2025)
by: Liu, Qibang, et al.
Published: (2025)
A p-adaptive high-order mesh-free framework for fluid simulations in complex geometries
by: Feng, Ruofeng, et al.
Published: (2025)
by: Feng, Ruofeng, et al.
Published: (2025)
Interpretable A-posteriori Error Indication for Graph Neural Network Surrogate Models
by: Barwey, Shivam, et al.
Published: (2023)
by: Barwey, Shivam, et al.
Published: (2023)
Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling
by: Barwey, Shivam, et al.
Published: (2024)
by: Barwey, Shivam, et al.
Published: (2024)
AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks
by: Fan, Lushun, et al.
Published: (2025)
by: Fan, Lushun, et al.
Published: (2025)
Finite Element Neural Network Interpolation. Part II: Hybridisation with the Proper Generalised Decomposition for non-linear surrogate modelling
by: Daby-Seesaram, Alexandre, et al.
Published: (2024)
by: Daby-Seesaram, Alexandre, et al.
Published: (2024)
Hybrid Neural Interpolation of a Sequence of Wind Flows
by: Shaa, Ameir, et al.
Published: (2025)
by: Shaa, Ameir, et al.
Published: (2025)
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks
by: Barwey, Shivam, et al.
Published: (2024)
by: Barwey, Shivam, et al.
Published: (2024)
X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation
by: Nabian, Mohammad Amin, et al.
Published: (2024)
by: Nabian, Mohammad Amin, et al.
Published: (2024)
Minimizing Nature's Cost: Exploring Data-Free Physics-Informed Neural Network Solvers for Fluid Mechanics Applications
by: Elmaradny, Abdelrahman, et al.
Published: (2024)
by: Elmaradny, Abdelrahman, et al.
Published: (2024)
Criticality and Saturation in Orthogonal Neural Networks
by: Guillen, Max, et al.
Published: (2026)
by: Guillen, Max, et al.
Published: (2026)
Quantum Algorithm for Smoothed Particle Hydrodynamics
by: Au-Yeung, Rhonda, et al.
Published: (2020)
by: Au-Yeung, Rhonda, et al.
Published: (2020)
Physical Constraint Preserving Higher Order Finite Volume Schemes for Divergence-Free Astrophysical MHD and RMHD
by: Balsara, Dinshaw S., et al.
Published: (2025)
by: Balsara, Dinshaw S., et al.
Published: (2025)
The Free Resource Computer and the Junior College
by: King, Jack H.
Published: (1970)
by: King, Jack H.
Published: (1970)
Finite Element Neural Network Interpolation. Part I: Interpretable and Adaptive Discretization for Solving PDEs
by: Škardová, Kateřina, et al.
Published: (2024)
by: Škardová, Kateřina, et al.
Published: (2024)
Semi-Supervised Neural Super-Resolution for Mesh-Based Simulations
by: Kim, Jiyeon, et al.
Published: (2026)
by: Kim, Jiyeon, et al.
Published: (2026)
High-Order Harmonic Generation in Helium: A Comparison Study
by: Bondy, A. T., et al.
Published: (2023)
by: Bondy, A. T., et al.
Published: (2023)
Graph Convolutional Neural Networks as Surrogate Models for Climate Simulation
by: Potter, Kevin, et al.
Published: (2024)
by: Potter, Kevin, et al.
Published: (2024)
Compact LABFM: a framework for meshless methods with spectral-like resolving power
by: Broadley, Henry M., et al.
Published: (2026)
by: Broadley, Henry M., et al.
Published: (2026)
SIMSHIFT: A Benchmark for Adapting Neural Surrogates to Distribution Shifts
by: Setinek, Paul, et al.
Published: (2025)
by: Setinek, Paul, et al.
Published: (2025)
Physics Informed Neural Networks for Free Shear Flows
by: Raghu, Siddharth, et al.
Published: (2024)
by: Raghu, Siddharth, et al.
Published: (2024)
A Message Passing Neural Network Surrogate Model for Bond-Associated Peridynamic Material Correspondence Formulation
by: Hu, Xuan, et al.
Published: (2024)
by: Hu, Xuan, et al.
Published: (2024)
UQ of 2D Slab Burner DNS: Surrogates, Uncertainty Propagation, and Parameter Calibration
by: Georgalis, Georgios, et al.
Published: (2024)
by: Georgalis, Georgios, et al.
Published: (2024)
High Resolution Optimized High-Order Schemes for Discretization of Non-Linear Straight and Mixed Second Derivative Terms
by: Chandravamsi, Hemanth, et al.
Published: (2023)
by: Chandravamsi, Hemanth, et al.
Published: (2023)
Kolmogorov-Arnold Representation for Symplectic Learning: Advancing Hamiltonian Neural Networks
by: Wu, Zongyu, et al.
Published: (2025)
by: Wu, Zongyu, et al.
Published: (2025)
Physics-Informed Neural Networks for the Numerical Modeling of Steady-State and Transient Electromagnetic Problems with Discontinuous Media
by: Nohra, Michel, et al.
Published: (2024)
by: Nohra, Michel, et al.
Published: (2024)
Modeling of Zircaloy Oxidation Through Dynamic Mesh Deformation
by: Scolaro, A., et al.
Published: (2024)
by: Scolaro, A., et al.
Published: (2024)
Hybrid Fourier Neural Operator for Surrogate Modeling of Laser Processing with a Quantum-Circuit Mixer
by: Papierz, Mateusz, et al.
Published: (2026)
by: Papierz, Mateusz, et al.
Published: (2026)
Similar Items
-
Learning Mesh-Free Discrete Differential Operators with Self-Supervised Graph Neural Networks
by: Starepravo, Lucas Gerken, et al.
Published: (2026) -
Divergence cleaning for weakly compressible smoothed particle hydrodynamics
by: Fourtakas, Georgios, et al.
Published: (2024) -
Framework for uncertainty quantification of wave-structure interaction in a flume
by: Luo, Xiaoyuan, et al.
Published: (2024) -
Neural Network Surrogates for Free Energy Computation of Complex Chemical Systems
by: Pornpatcharapong, Wasut
Published: (2025) -
Second-Order Adjoint Method for Quantum Optimal Control
by: Bhat, Harish S.
Published: (2025)