Saved in:
| Main Author: | Reeger, Jonah A. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.19036 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Solving Partial Differential Equations Using Artificial Neural Networks
by: Uriarte, Carlos
Published: (2024)
by: Uriarte, Carlos
Published: (2024)
Quantum Recurrent Neural Networks with Encoder-Decoder for Time-Dependent Partial Differential Equations
by: Chen, Yuan, et al.
Published: (2025)
by: Chen, Yuan, et al.
Published: (2025)
First-order PDES for Graph Neural Networks: Advection And Burgers Equation Models
by: Qu, Yifan, et al.
Published: (2024)
by: Qu, Yifan, et al.
Published: (2024)
Generalized Transferable Neural Networks for Steady-State Partial Differential Equations
by: Cheng, Tao, et al.
Published: (2026)
by: Cheng, Tao, et al.
Published: (2026)
A Directional-ODE Framework for Discretization of Advection-Diffusion Equations
by: Jafarimoghaddam, Amin, et al.
Published: (2025)
by: Jafarimoghaddam, Amin, et al.
Published: (2025)
Encoded Forward Backward Stochastic Neural Network for High-Dimensional Backward Stochastic Differential Equations and Parabolic Partial Differential Equations
by: Zhang, Zhao, et al.
Published: (2026)
by: Zhang, Zhao, et al.
Published: (2026)
Physics-embedded Fourier Neural Network for Partial Differential Equations
by: Xu, Qingsong, et al.
Published: (2024)
by: Xu, Qingsong, et al.
Published: (2024)
Solution of Advection Equation with Discontinuous Initial and Boundary Conditions via Physics-Informed Neural Networks
by: Khosravi, Omid, et al.
Published: (2026)
by: Khosravi, Omid, et al.
Published: (2026)
Randomized Neural Networks for Partial Differential Equation on Static and Evolving Surfaces
by: Sun, Jingbo, et al.
Published: (2026)
by: Sun, Jingbo, et al.
Published: (2026)
Random Neural Network Expressivity for Non-Linear Partial Differential Equations
by: Mehmood, Muhammed Ali, et al.
Published: (2026)
by: Mehmood, Muhammed Ali, et al.
Published: (2026)
Physics-informed Multiresolution Wavelet Neural Network Method for Solving Partial Differential Equations
by: Han, Feng, et al.
Published: (2025)
by: Han, Feng, et al.
Published: (2025)
Least-Squares Neural Network (LSNN) Method for Scalar Hyperbolic Partial Differential Equations
by: Liu, Min, et al.
Published: (2026)
by: Liu, Min, et al.
Published: (2026)
Regularity-Conforming Neural Networks (ReCoNNs) for solving Partial Differential Equations
by: Taylor, Jamie M., et al.
Published: (2024)
by: Taylor, Jamie M., et al.
Published: (2024)
Chebyshev Spectral Neural Networks for Solving Partial Differential Equations
by: Yin, Pengsong, et al.
Published: (2024)
by: Yin, Pengsong, et al.
Published: (2024)
Domain Decomposition Subspace Neural Network Method for Solving Linear and Nonlinear Partial Differential Equations
by: Fu, Zhenxing, et al.
Published: (2025)
by: Fu, Zhenxing, et al.
Published: (2025)
Adaptive Basis-inspired Deep Neural Network for Solving Partial Differential Equations with Localized Features
by: Li, Ke, et al.
Published: (2024)
by: Li, Ke, et al.
Published: (2024)
An Unsupervised Network Architecture Search Method for Solving Partial Differential Equations
by: Li, Qing, et al.
Published: (2025)
by: Li, Qing, et al.
Published: (2025)
Fourier-Gegenbauer Integral-Galerkin Method for Solving the Advection-Diffusion Equation With Periodic Boundary Conditions
by: Elgindy, Kareem T.
Published: (2025)
by: Elgindy, Kareem T.
Published: (2025)
A Unified Benchmark of Physics-Informed Neural Networks and Kolmogorov-Arnold Networks for Ordinary and Partial Differential Equations
by: Dzimah, Salvador K., et al.
Published: (2026)
by: Dzimah, Salvador K., et al.
Published: (2026)
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
by: Bryutkin, Andrey, et al.
Published: (2024)
by: Bryutkin, Andrey, et al.
Published: (2024)
Energy-Equidistributed Moving Sampling Physics-informed Neural Networks for Solving Conservative Partial Differential Equations
by: Gao, Qinjiao, et al.
Published: (2025)
by: Gao, Qinjiao, et al.
Published: (2025)
Fine-Tuning DeepONets to Enhance Physics-informed Neural Networks for solving Partial Differential Equations
by: Wu, Sidi
Published: (2024)
by: Wu, Sidi
Published: (2024)
The Neural Network Approach to Inverse Problems in Differential Equations
by: Xu, Kailai, et al.
Published: (2019)
by: Xu, Kailai, et al.
Published: (2019)
Deep Finite Volume Method for Partial Differential Equations
by: Cen, Jianhuan, et al.
Published: (2023)
by: Cen, Jianhuan, et al.
Published: (2023)
Solving Partial Differential Equations with Random Feature Models
by: Liao, Chunyang
Published: (2024)
by: Liao, Chunyang
Published: (2024)
PDEformer: Towards a Foundation Model for One-Dimensional Partial Differential Equations
by: Ye, Zhanhong, et al.
Published: (2024)
by: Ye, Zhanhong, et al.
Published: (2024)
A Kolmogorov High Order Deep Neural Network for High Frequency Partial Differential Equations in High Dimensions
by: Zhang, Yaqin, et al.
Published: (2025)
by: Zhang, Yaqin, et al.
Published: (2025)
PhysicsSolver: Transformer-Enhanced Physics-Informed Neural Networks for Forward and Forecasting Problems in Partial Differential Equations
by: Zhu, Zhenyi, et al.
Published: (2025)
by: Zhu, Zhenyi, et al.
Published: (2025)
A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations
by: Xu, Xianliang, et al.
Published: (2024)
by: Xu, Xianliang, et al.
Published: (2024)
Causal Operator Discovery in Partial Differential Equations via Counterfactual Physics-Informed Neural Networks
by: Katende, Ronald
Published: (2025)
by: Katende, Ronald
Published: (2025)
Data-Guided Physics-Informed Neural Networks for Solving Inverse Problems in Partial Differential Equations
by: Zhou, Wei, et al.
Published: (2024)
by: Zhou, Wei, et al.
Published: (2024)
Scale-Consistent Learning for Partial Differential Equations
by: Li, Zongyi, et al.
Published: (2025)
by: Li, Zongyi, et al.
Published: (2025)
Analysis for Implicit and Implicit-Explicit ADER and DeC Methods for Ordinary Differential Equations, Advection-Diffusion and Advection-Dispersion Equations
by: Öffner, Philipp, et al.
Published: (2024)
by: Öffner, Philipp, et al.
Published: (2024)
Weak Random Feature Method for Solving Partial Differential Equations
by: Kuvakin, Mikhail, et al.
Published: (2025)
by: Kuvakin, Mikhail, et al.
Published: (2025)
Reduced Krylov Basis Methods for Parametric Partial Differential Equations
by: Li, Yuwen, et al.
Published: (2024)
by: Li, Yuwen, et al.
Published: (2024)
PDEformer-1: A Foundation Model for One-Dimensional Partial Differential Equations
by: Ye, Zhanhong, et al.
Published: (2024)
by: Ye, Zhanhong, et al.
Published: (2024)
Strong Stability Preservation for Stochastic Partial Differential Equations
by: Woodfield, James
Published: (2024)
by: Woodfield, James
Published: (2024)
Sylvester-Preconditioned Adaptive-Rank Implicit Time Integrators for Advection-Diffusion Equations with Variable Coefficients
by: Kahza, Hamad El, et al.
Published: (2024)
by: Kahza, Hamad El, et al.
Published: (2024)
Solving the 2D Advection-Diffusion Equation using Fixed-Depth Symbolic Regression and Symbolic Differentiation without Expression Trees
by: Finkelstein, Edward
Published: (2024)
by: Finkelstein, Edward
Published: (2024)
Structure-informed operator learning for parabolic Partial Differential Equations
by: Benth, Fred Espen, et al.
Published: (2024)
by: Benth, Fred Espen, et al.
Published: (2024)
Similar Items
-
Solving Partial Differential Equations Using Artificial Neural Networks
by: Uriarte, Carlos
Published: (2024) -
Quantum Recurrent Neural Networks with Encoder-Decoder for Time-Dependent Partial Differential Equations
by: Chen, Yuan, et al.
Published: (2025) -
First-order PDES for Graph Neural Networks: Advection And Burgers Equation Models
by: Qu, Yifan, et al.
Published: (2024) -
Generalized Transferable Neural Networks for Steady-State Partial Differential Equations
by: Cheng, Tao, et al.
Published: (2026) -
A Directional-ODE Framework for Discretization of Advection-Diffusion Equations
by: Jafarimoghaddam, Amin, et al.
Published: (2025)