dtu-act / deeponet-acoustic-wave-propLinks
Code for training and inferring acoustic wave propagation in 3D
☆39Updated 8 months ago
Alternatives and similar repositories for deeponet-acoustic-wave-prop
Users that are interested in deeponet-acoustic-wave-prop are comparing it to the libraries listed below
Sorting:
- Code for sound field predictions in domains with impedance boundaries. Used for generating results from the paper "Physics-informed neura…☆29Updated last year
- PINN for solving wave equation☆20Updated 2 years ago
- Deep-learning iterative solver for the heterogeneous 2D Helmholtz equation☆32Updated 2 years ago
- ☆103Updated last year
- ☆12Updated last year
- Physics-Informed Neural Networks designed to solve the Two-Dimensional Wave Equation in both TensorFlow and PyTorch. Code is designed to …☆18Updated 2 years ago
- Applications of PINOs☆132Updated 2 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆183Updated 5 years ago
- An implementation of Physics-Informed Neural Networks (PINNs) to solve various forward and inverse problems for the 1 dimensional wave eq…☆40Updated 2 years ago
- ☆42Updated 2 years ago
- ODIL (Optimizing a Discrete Loss) is a Python framework for solving inverse and data assimilation problems for partial differential equat…☆113Updated 3 weeks ago
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- ☆108Updated last week
- Example problems in Physics informed neural network in JAX☆80Updated 2 years ago
- Repository for sharing code and data assocaited with En-DeepONet architecture☆35Updated last year
- Discontinuous Galerkin finite element method (DGFEM) for Acoustic Wave Propagation☆88Updated 2 years ago
- ☆99Updated 3 years ago
- ☆147Updated 3 years ago
- physics-informed neural network for elastodynamics problem☆146Updated 3 years ago
- Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robus…☆26Updated last year
- Code to run 3D simulations of the elastic wave equation and predict outputs with 3D neural operators☆35Updated 2 months ago
- Solving PDEs with NNs☆55Updated 2 years ago
- Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"☆46Updated last year
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆50Updated 2 months ago
- Generator of 2D gaussian random fields☆50Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆81Updated this week
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆22Updated last year
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆145Updated 11 months ago
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆27Updated 3 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆67Updated 4 months ago