Neural Preconditioning Operator for Efficient PDE Solves
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Zhihao, Xiao, Di, Lai, Zhilu, Wang, Wei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A unified framework for equation discovery and dynamic prediction of hysteretic systems
by: Yang, Siyuan, et al.
Published: (2025)
by: Yang, Siyuan, et al.
Published: (2025)
KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks
by: Yang, Siyuan, et al.
Published: (2025)
by: Yang, Siyuan, et al.
Published: (2025)
LRQ-Solver: A Transformer-Based Neural Operator for Fast and Accurate Solving of Large-scale 3D PDEs
by: Zeng, Peijian, et al.
Published: (2025)
by: Zeng, Peijian, et al.
Published: (2025)
Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data
by: Zhou, Mingyuan, et al.
Published: (2024)
by: Zhou, Mingyuan, et al.
Published: (2024)
An Efficient Transient Nonlinear Circuit Simulator Using Exponential Integration and Block-Jacobi Precondition
by: Zhang, Zijian, et al.
Published: (2025)
by: Zhang, Zijian, et al.
Published: (2025)
Brain-Inspired Physics-Informed Neural Networks: Bare-Minimum Neural Architectures for PDE Solvers
by: Markidis, Stefano
Published: (2024)
by: Markidis, Stefano
Published: (2024)
Parameter estimation of structural dynamics with neural operators enabled surrogate modeling
by: Zhou, Mingyuan, et al.
Published: (2024)
by: Zhou, Mingyuan, et al.
Published: (2024)
Bridging Sequential Deep Operator Network and Video Diffusion: Residual Refinement of Spatio-Temporal PDE Solutions
by: Park, Jaewan, et al.
Published: (2025)
by: Park, Jaewan, et al.
Published: (2025)
Solving Electromagnetic Scattering Problems by Isogeometric Analysis with Deep Operator Learning
by: Backmeyer, Merle, et al.
Published: (2024)
by: Backmeyer, Merle, et al.
Published: (2024)
Adaptive Coordinate Transforms for Neural Operators
by: Liu, Chaoyu, et al.
Published: (2026)
by: Liu, Chaoyu, et al.
Published: (2026)
PINNsAgent: Automated PDE Surrogation with Large Language Models
by: Wuwu, Qingpo, et al.
Published: (2025)
by: Wuwu, Qingpo, et al.
Published: (2025)
Local Multiple Traces Formulation for Heterogeneous Electromagnetic Scattering: Implementation and Preconditioning
by: Escapil-Inchauspé, Paul, et al.
Published: (2025)
by: Escapil-Inchauspé, Paul, et al.
Published: (2025)
Transforming physics-informed machine learning to convex optimization
by: Yi, Letian, et al.
Published: (2025)
by: Yi, Letian, et al.
Published: (2025)
Physics-Informed Neural Networks for Solving Contact Problems in Three Dimensions
by: Sahin, Tarik, et al.
Published: (2024)
by: Sahin, Tarik, et al.
Published: (2024)
FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates
by: Lan, Zishuo, et al.
Published: (2026)
by: Lan, Zishuo, et al.
Published: (2026)
Deep Neural Operator Enabled Concurrent Multitask Design for Multifunctional Metamaterials under Heterogeneous Fields
by: Lee, Doksoo, et al.
Published: (2023)
by: Lee, Doksoo, et al.
Published: (2023)
Spectral-Prior Guided Multistage Physics-Informed Neural Networks for Highly Accurate PDE Solutions
by: Li, Yuzhen, et al.
Published: (2025)
by: Li, Yuzhen, et al.
Published: (2025)
Physics-Informed Holomorphic Neural Networks (PIHNNs): Solving Linear Elasticity Problems
by: Calafà, Matteo, et al.
Published: (2024)
by: Calafà, Matteo, et al.
Published: (2024)
On the Effectiveness of Neural Operators at Zero-Shot Weather Downscaling
by: Sinha, Saumya, et al.
Published: (2024)
by: Sinha, Saumya, et al.
Published: (2024)
Using Graph Neural Networks and Frequency Domain Data for Automated Operational Modal Analysis of Populations of Structures
by: Jian, Xudong, et al.
Published: (2024)
by: Jian, Xudong, et al.
Published: (2024)
Solving Stochastic Differential Equations with Jump-Diffusion Efficiently: Applications to FPT Problems in Credit Risk
by: Zhang, Di, et al.
Published: (2007)
by: Zhang, Di, et al.
Published: (2007)
An Efficient Graph-Transformer Operator for Learning Physical Dynamics with Manifolds Embedding
by: Liu, Pengwei, et al.
Published: (2025)
by: Liu, Pengwei, et al.
Published: (2025)
BDDC Preconditioning on GPUs for Cardiac Simulations
by: Goebel, Fritz, et al.
Published: (2024)
by: Goebel, Fritz, et al.
Published: (2024)
Multiscale Neural PDE Surrogates for Prediction and Downscaling: Application to Ocean Currents
by: El-Kabid, Abdessamad, et al.
Published: (2025)
by: El-Kabid, Abdessamad, et al.
Published: (2025)
MNO : A Multi-modal Neural Operator for Parametric Nonlinear BVPs
by: Madala, Vamshi C., et al.
Published: (2025)
by: Madala, Vamshi C., et al.
Published: (2025)
Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEs
by: Rezaei, Shahed, et al.
Published: (2024)
by: Rezaei, Shahed, et al.
Published: (2024)
Solving contact problems using Fiber Monte Carlo
by: Wang, Xinyu, et al.
Published: (2025)
by: Wang, Xinyu, et al.
Published: (2025)
Learning to Control PDEs with Differentiable Predictive Control and Time-Integrated Neural Operators
by: Sarkar, Dibakar Roy, et al.
Published: (2025)
by: Sarkar, Dibakar Roy, et al.
Published: (2025)
Neural-operator element method: Efficient and scalable finite element method enabled by reusable neural operators
by: Ouyang, Weihang, et al.
Published: (2025)
by: Ouyang, Weihang, et al.
Published: (2025)
Text-to-Code Generation for Modular Building Layouts in Building Information Modeling
by: Wei, Yinyi, et al.
Published: (2025)
by: Wei, Yinyi, et al.
Published: (2025)
VW-PINNs: A volume weighting method for PDE residuals in physics-informed neural networks
by: Song, Jiahao, et al.
Published: (2024)
by: Song, Jiahao, et al.
Published: (2024)
Landscape-Aware Bandit Hyper-Heuristics for Online Operator Selection in UAV Inspection Routing
by: Wei, Junhao, et al.
Published: (2026)
by: Wei, Junhao, et al.
Published: (2026)
Preconditioning Techniques for Hybridizable Discontinuous Galerkin Discretizations on GPU Architectures
by: Welter, Andrew, et al.
Published: (2025)
by: Welter, Andrew, et al.
Published: (2025)
An Attention-based Spatio-Temporal Neural Operator for Evolving Physics
by: Karkaria, Vispi, et al.
Published: (2025)
by: Karkaria, Vispi, et al.
Published: (2025)
Fourier Neural Operators for Structural Dynamics Models: Challenges, Limitations and Advantages of Using a Spectrogram Loss
by: Haghi, Rad, et al.
Published: (2025)
by: Haghi, Rad, et al.
Published: (2025)
Minimizing the Value-at-Risk of Loan Portfolio via Deep Neural Networks
by: Di Wang, Albert, et al.
Published: (2025)
by: Di Wang, Albert, et al.
Published: (2025)
A Unified Data-Driven Framework for Efficient Scientific Discovery
by: Xiao, Tingxiong, et al.
Published: (2025)
by: Xiao, Tingxiong, et al.
Published: (2025)
Neural Operators Can Discover Functional Clusters
by: Li, Yicen, et al.
Published: (2026)
by: Li, Yicen, et al.
Published: (2026)
Using Large Language Models for Solving Thermodynamic Problems
by: Loubet, Rebecca, et al.
Published: (2025)
by: Loubet, Rebecca, et al.
Published: (2025)
A Concept for Autonomous Problem-Solving in Intralogistics Scenarios
by: Sigel, Johannes, et al.
Published: (2025)
by: Sigel, Johannes, et al.
Published: (2025)
Similar Items
-
A unified framework for equation discovery and dynamic prediction of hysteretic systems
by: Yang, Siyuan, et al.
Published: (2025) -
KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks
by: Yang, Siyuan, et al.
Published: (2025) -
LRQ-Solver: A Transformer-Based Neural Operator for Fast and Accurate Solving of Large-scale 3D PDEs
by: Zeng, Peijian, et al.
Published: (2025) -
Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data
by: Zhou, Mingyuan, et al.
Published: (2024) -
An Efficient Transient Nonlinear Circuit Simulator Using Exponential Integration and Block-Jacobi Precondition
by: Zhang, Zijian, et al.
Published: (2025)