Accelerating wave simulations with neural dispersion correctors
Fuente:
arXiv
Saved in:
| Main Authors: | Rincón, Felipe, Fichtner, Andreas, Aleardi, Mattia, Tognarelli, Andrea, Stucchi, Eusebio |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Inverse analysis of granular flows using differentiable graph neural network simulator
by: Choi, Yongjin, et al.
Published: (2024)
by: Choi, Yongjin, et al.
Published: (2024)
PDE-DKL: PDE-constrained deep kernel learning in high dimensionality
by: Yan, Weihao, et al.
Published: (2025)
by: Yan, Weihao, et al.
Published: (2025)
Total Generalized Variation regularization closes the gap between neural-eld and classical methods in seismic travel-time tomography
by: Kurosawa, Isao
Published: (2026)
by: Kurosawa, Isao
Published: (2026)
A Classical-Quantum Hybrid Architecture for Physics-Informed Neural Networks
by: Lantigua, Said, et al.
Published: (2025)
by: Lantigua, Said, et al.
Published: (2025)
AI Model for Predicting Binding Affinity of Antidiabetic Compounds Targeting PPAR
by: Aman, La Ode, et al.
Published: (2024)
by: Aman, La Ode, et al.
Published: (2024)
An adaptive Deep Ritz framework for second-order fully nonlinear partial differential equations
by: Caboussat, Alexandre, et al.
Published: (2026)
by: Caboussat, Alexandre, et al.
Published: (2026)
GPR Full-Waveform Inversion through Adaptive Filtering of Model Parameters and Gradients Using CNN
by: Jiang, Peng, et al.
Published: (2024)
by: Jiang, Peng, et al.
Published: (2024)
Convex Physics Informed Neural Networks for the Monge-Ampère Optimal Transport Problem
by: Caboussat, Alexandre, et al.
Published: (2025)
by: Caboussat, Alexandre, et al.
Published: (2025)
Adaptive Mixture Importance Sampling for Automated Ads Auction Tuning
by: Jia, Yimeng, et al.
Published: (2024)
by: Jia, Yimeng, et al.
Published: (2024)
Artificial intelligence and downscaling global climate model future projections
by: Benestad, Rasmus E.
Published: (2026)
by: Benestad, Rasmus E.
Published: (2026)
Stratified Sampling Algorithms for Machine Learning Methods in Solving Two-scale Partial Differential Equations
by: Avilés, Eddel Elí Ojeda, et al.
Published: (2024)
by: Avilés, Eddel Elí Ojeda, et al.
Published: (2024)
Neural network Approximations for Reaction-Diffusion Equations -- Homogeneous Neumann Boundary Conditions and Long-time Integrations
by: Avilés, Eddel Elí Ojeda, et al.
Published: (2024)
by: Avilés, Eddel Elí Ojeda, et al.
Published: (2024)
A Structure-Preserving PML-Domain-Embedding Method for Acoustic Wave Scattering by Moving Objects
by: Gu, Xuelong, et al.
Published: (2026)
by: Gu, Xuelong, et al.
Published: (2026)
IGA-ODIL: Optimizing DIscretre robust Loss with Isogeometric Analysis to solve forward and inverse problems faster using machine learning tools
by: Paszyński, Maciej, et al.
Published: (2026)
by: Paszyński, Maciej, et al.
Published: (2026)
On the Structural Failure of Chamfer Distance in 3D Shape Optimization
by: Song, Chang-Yong, et al.
Published: (2026)
by: Song, Chang-Yong, et al.
Published: (2026)
Physics-Informed Learning of Microvascular Flow Models using Graph Neural Networks
by: Botta, Paolo, et al.
Published: (2025)
by: Botta, Paolo, et al.
Published: (2025)
When can forward stable algorithms be composed stably?
by: Beltrán, Carlos, et al.
Published: (2021)
by: Beltrán, Carlos, et al.
Published: (2021)
On the maximum bound principle and energy dissipation of exponential time differencing methods for the chiral liquid crystal blue phases
by: Hu, Wenshuai, et al.
Published: (2025)
by: Hu, Wenshuai, et al.
Published: (2025)
Generalized Scalar Auxiliary Variable Exponential Integrator for A Modified Landau-de Gennes Theory for Smectic Liquid Crystals
by: Hu, Wenshuai, et al.
Published: (2026)
by: Hu, Wenshuai, et al.
Published: (2026)
Enhancing PINN Accuracy for the RLW Equation: Adaptive and Conservative Approaches
by: Shehzad, Aamir
Published: (2025)
by: Shehzad, Aamir
Published: (2025)
Predictive Digital Twins for Thermal Management Using Machine Learning and Reduced-Order Models
by: Subramani, Tamilselvan, et al.
Published: (2025)
by: Subramani, Tamilselvan, et al.
Published: (2025)
Deep Learning Alternatives of the Kolmogorov Superposition Theorem
by: Guilhoto, Leonardo Ferreira, et al.
Published: (2024)
by: Guilhoto, Leonardo Ferreira, et al.
Published: (2024)
The Current and Future Perspectives of Zinc Oxide Nanoparticles in the Treatment of Diabetes Mellitus
by: Yousaf, Iqra
Published: (2024)
by: Yousaf, Iqra
Published: (2024)
LRCP: Low-Rank Compressibility Guided Visual Token Pruning for Efficient LVLMs
by: Lu, Hongyu, et al.
Published: (2026)
by: Lu, Hongyu, et al.
Published: (2026)
Python library supporting Discrete Variational Formulations and training solutions with Collocation-based Robust Variational Physics Informed Neural Networks (DVF-CRVPINN)
by: Służalec, Tomasz, et al.
Published: (2026)
by: Służalec, Tomasz, et al.
Published: (2026)
Collocation-based Robust Variational Physics-Informed Neural Networks (CRVPINN)
by: Łoś, Marcin, et al.
Published: (2024)
by: Łoś, Marcin, et al.
Published: (2024)
Anisotropic mesh spacing prediction using neural networks
by: Lock, Callum, et al.
Published: (2025)
by: Lock, Callum, et al.
Published: (2025)
Physics-informed Temporal Alignment for Auto-regressive PDE Foundation Models
by: Zhu, Congcong, et al.
Published: (2025)
by: Zhu, Congcong, et al.
Published: (2025)
Towards Coordinate- and Dimension-Agnostic Machine Learning for Partial Differential Equations
by: Phan, Trung V., et al.
Published: (2025)
by: Phan, Trung V., et al.
Published: (2025)
Alternately-optimized SNN method for acoustic scattering problem in unbounded domain
by: Song, Haoming, et al.
Published: (2025)
by: Song, Haoming, et al.
Published: (2025)
Error Analysis of the Deep Mixed Residual Method for High-order Elliptic Equations
by: Bai, Mengjia, et al.
Published: (2024)
by: Bai, Mengjia, et al.
Published: (2024)
Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems
by: Cho, Sung Woong, et al.
Published: (2024)
by: Cho, Sung Woong, et al.
Published: (2024)
FGGS-LiDAR: Ultra-Fast, GPU-Accelerated Simulation from General 3DGS Models to LiDAR
by: Wu, Junzhe, et al.
Published: (2025)
by: Wu, Junzhe, et al.
Published: (2025)
Three-dimensional inversion of gravity data using implicit neural representations and scientific machine learning
by: Mishra, Pankaj K, et al.
Published: (2025)
by: Mishra, Pankaj K, et al.
Published: (2025)
On the Value of Tokeniser Pretraining in Physics Foundation Models
by: Sotoudeh, Hadi, et al.
Published: (2026)
by: Sotoudeh, Hadi, et al.
Published: (2026)
S3Simulator: A benchmarking Side Scan Sonar Simulator dataset for Underwater Image Analysis
by: S, Kamal Basha, et al.
Published: (2024)
by: S, Kamal Basha, et al.
Published: (2024)
Mitigating Catastrophic Forgetting in Streaming Generative and Predictive Learning via Stateful Replay
by: Du, Wenzhang
Published: (2025)
by: Du, Wenzhang
Published: (2025)
FastGS: Training 3D Gaussian Splatting in 100 Seconds
by: Ren, Shiwei, et al.
Published: (2025)
by: Ren, Shiwei, et al.
Published: (2025)
SEGS-SLAM: Structure-enhanced 3D Gaussian Splatting SLAM with Appearance Embedding
by: Wen, Tianci, et al.
Published: (2025)
by: Wen, Tianci, et al.
Published: (2025)
Adaptive Domain Decomposition Physics-Informed Neural Networks for Traffic State Estimation with Sparse Sensor Data
by: Ka, Eunhan, et al.
Published: (2026)
by: Ka, Eunhan, et al.
Published: (2026)
Similar Items
-
Inverse analysis of granular flows using differentiable graph neural network simulator
by: Choi, Yongjin, et al.
Published: (2024) -
PDE-DKL: PDE-constrained deep kernel learning in high dimensionality
by: Yan, Weihao, et al.
Published: (2025) -
Total Generalized Variation regularization closes the gap between neural-eld and classical methods in seismic travel-time tomography
by: Kurosawa, Isao
Published: (2026) -
A Classical-Quantum Hybrid Architecture for Physics-Informed Neural Networks
by: Lantigua, Said, et al.
Published: (2025) -
AI Model for Predicting Binding Affinity of Antidiabetic Compounds Targeting PPAR
by: Aman, La Ode, et al.
Published: (2024)