Benchmarking Physics-Informed Neural Networks and Boundary Elements Methods for Wave Scattering
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Rincón-Cardeno, Oscar, Bernal, Gregorio Pérez, Noguera, Silvana Montoya, Guarín-Zapata, Nicolás |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Physics-informed neural networks to solve inverse problems in unbounded domains
par: Pérez-Bernal, Gregorio, et autres
Publié: (2025)
par: Pérez-Bernal, Gregorio, et autres
Publié: (2025)
jinns: a JAX Library for Physics-Informed Neural Networks
par: Gangloff, Hugo, et autres
Publié: (2024)
par: Gangloff, Hugo, et autres
Publié: (2024)
PIBNet: a Physics-Inspired Boundary Network for Multiple Scattering Simulations
par: Marsal, Rémi, et autres
Publié: (2025)
par: Marsal, Rémi, et autres
Publié: (2025)
A Physics Informed Neural Network (PINN) Methodology for Coupled Moving Boundary PDEs
par: Kathane, Shivprasad, et autres
Publié: (2024)
par: Kathane, Shivprasad, et autres
Publié: (2024)
Element-wise Multiplication Based Deeper Physics-Informed Neural Networks
par: Jiang, Feilong, et autres
Publié: (2024)
par: Jiang, Feilong, et autres
Publié: (2024)
On the Role of Consistency Between Physics and Data in Physics-Informed Neural Networks
par: Becerra-Zuniga, Nicolás, et autres
Publié: (2026)
par: Becerra-Zuniga, Nicolás, et autres
Publié: (2026)
A Comprehensive Evaluation of Graph Neural Networks and Physics Informed Learning for Surrogate Modelling of Finite Element Analysis
par: Singh, Nayan Kumar
Publié: (2025)
par: Singh, Nayan Kumar
Publié: (2025)
Physics-Informed Neural Networks with Architectural Physics Embedding for Large-Scale Wave Field Reconstruction
par: Zhang, Huiwen, et autres
Publié: (2026)
par: Zhang, Huiwen, et autres
Publié: (2026)
Conformalized Physics-Informed Neural Networks
par: Podina, Lena, et autres
Publié: (2024)
par: Podina, Lena, et autres
Publié: (2024)
A Physics-Informed Hierarchical Neural Network for Microwave Scattering Analysis of 3D PEC Targets
par: Zhu, Rui, et autres
Publié: (2025)
par: Zhu, Rui, et autres
Publié: (2025)
PINN-FEM: A Hybrid Approach for Enforcing Dirichlet Boundary Conditions in Physics-Informed Neural Networks
par: Sobh, Nahil, et autres
Publié: (2025)
par: Sobh, Nahil, et autres
Publié: (2025)
Improved Physics-Driven Neural Network to Solve Inverse Scattering Problems
par: Du, Yutong, et autres
Publié: (2025)
par: Du, Yutong, et autres
Publié: (2025)
Enhanced Vascular Flow Simulations in Aortic Aneurysm via Physics-Informed Neural Networks and Deep Operator Networks
par: Cruz-González, Oscar L., et autres
Publié: (2025)
par: Cruz-González, Oscar L., et autres
Publié: (2025)
eXtended Physics Informed Neural Network Method for Fracture Mechanics Problems
par: Lotfalian, Amin, et autres
Publié: (2025)
par: Lotfalian, Amin, et autres
Publié: (2025)
Enhancing Convergence Speed with Feature-Enforcing Physics-Informed Neural Networks: Utilizing Boundary Conditions as Prior Knowledge for Faster Convergence
par: Jahaninasab, Mahyar, et autres
Publié: (2023)
par: Jahaninasab, Mahyar, et autres
Publié: (2023)
A Model-Guided Neural Network Method for the Inverse Scattering Problem
par: Tsang, Olivia, et autres
Publié: (2025)
par: Tsang, Olivia, et autres
Publié: (2025)
Complex Physics-Informed Neural Network
par: Si, Chenhao, et autres
Publié: (2025)
par: Si, Chenhao, et autres
Publié: (2025)
Preconditioning for Physics-Informed Neural Networks
par: Liu, Songming, et autres
Publié: (2024)
par: Liu, Songming, et autres
Publié: (2024)
Physics-Informed Neural Networks and Extensions
par: Raissi, Maziar, et autres
Publié: (2024)
par: Raissi, Maziar, et autres
Publié: (2024)
Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks
par: Shi, Dai, et autres
Publié: (2024)
par: Shi, Dai, et autres
Publié: (2024)
Physical Informed Neural Networks for modeling ocean pollutant
par: Battina, Karishma, et autres
Publié: (2025)
par: Battina, Karishma, et autres
Publié: (2025)
Fourier Feature Pyramids for Physics-Informed Neural Networks
par: Zhao, Brandon, et autres
Publié: (2026)
par: Zhao, Brandon, et autres
Publié: (2026)
Functional Tensor Decompositions for Physics-Informed Neural Networks
par: Vemuri, Sai Karthikeya, et autres
Publié: (2024)
par: Vemuri, Sai Karthikeya, et autres
Publié: (2024)
Architectural Strategies for the optimization of Physics-Informed Neural Networks
par: Saratchandran, Hemanth, et autres
Publié: (2024)
par: Saratchandran, Hemanth, et autres
Publié: (2024)
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks
par: Bonfanti, Andrea, et autres
Publié: (2024)
par: Bonfanti, Andrea, et autres
Publié: (2024)
Convergence of Stochastic Gradient Methods for Wide Two-Layer Physics-Informed Neural Networks
par: Jin, Bangti, et autres
Publié: (2025)
par: Jin, Bangti, et autres
Publié: (2025)
Perception-Informed Neural Networks: Beyond Physics-Informed Neural Networks
par: Mazandarani, Mehran, et autres
Publié: (2025)
par: Mazandarani, Mehran, et autres
Publié: (2025)
Direct Estimation of Porosity from Seismic Data using Rock and Wave Physics Informed Neural Networks (RW-PINN)
par: Vashisth, Divakar, et autres
Publié: (2022)
par: Vashisth, Divakar, et autres
Publié: (2022)
$PINN - a Domain Decomposition Method for Bayesian Physics-Informed Neural Networks
par: Figueres, Júlia Vicens, et autres
Publié: (2025)
par: Figueres, Júlia Vicens, et autres
Publié: (2025)
Dual-Balancing for Physics-Informed Neural Networks
par: Zhou, Chenhong, et autres
Publié: (2025)
par: Zhou, Chenhong, et autres
Publié: (2025)
Densely Multiplied Physics Informed Neural Networks
par: Jiang, Feilong, et autres
Publié: (2024)
par: Jiang, Feilong, et autres
Publié: (2024)
Challenges and Advancements in Modeling Shock Fronts with Physics-Informed Neural Networks: A Review and Benchmarking Study
par: Abbasi, Jassem, et autres
Publié: (2025)
par: Abbasi, Jassem, et autres
Publié: (2025)
Enhancing Physics-Informed Neural Networks Through Feature Engineering
par: Fazliani, Shaghayegh, et autres
Publié: (2025)
par: Fazliani, Shaghayegh, et autres
Publié: (2025)
Guaranteeing Conservation of Integrals with Projection in Physics-Informed Neural Networks
par: Baez, Anthony, et autres
Publié: (2025)
par: Baez, Anthony, et autres
Publié: (2025)
Coordinate Encoding on Linear Grids for Physics-Informed Neural Networks
par: Tsuchino, Tetsuro, et autres
Publié: (2026)
par: Tsuchino, Tetsuro, et autres
Publié: (2026)
Randomized Physics-Informed Neural Networks for Bayesian Data Assimilation
par: Zong, Yifei, et autres
Publié: (2024)
par: Zong, Yifei, et autres
Publié: (2024)
Physics-Informed Neural Network for Concrete Manufacturing Process Optimization
par: Varghese, Sam, et autres
Publié: (2024)
par: Varghese, Sam, et autres
Publié: (2024)
RoPINN: Region Optimized Physics-Informed Neural Networks
par: Wu, Haixu, et autres
Publié: (2024)
par: Wu, Haixu, et autres
Publié: (2024)
Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks
par: Baez, Anthony, et autres
Publié: (2024)
par: Baez, Anthony, et autres
Publié: (2024)
Physics-Informed Neural Networks and Neural Operators for Parametric PDEs
par: Zhang, Zhuo, et autres
Publié: (2025)
par: Zhang, Zhuo, et autres
Publié: (2025)
Documents similaires
-
Physics-informed neural networks to solve inverse problems in unbounded domains
par: Pérez-Bernal, Gregorio, et autres
Publié: (2025) -
jinns: a JAX Library for Physics-Informed Neural Networks
par: Gangloff, Hugo, et autres
Publié: (2024) -
PIBNet: a Physics-Inspired Boundary Network for Multiple Scattering Simulations
par: Marsal, Rémi, et autres
Publié: (2025) -
A Physics Informed Neural Network (PINN) Methodology for Coupled Moving Boundary PDEs
par: Kathane, Shivprasad, et autres
Publié: (2024) -
Element-wise Multiplication Based Deeper Physics-Informed Neural Networks
par: Jiang, Feilong, et autres
Publié: (2024)