cselab / odilLinks
ODIL (Optimizing a Discrete Loss) is a Python framework for solving inverse and data assimilation problems for partial differential equations.
☆105Updated last month
Alternatives and similar repositories for odil
Users that are interested in odil are comparing it to the libraries listed below
Sorting:
- hPINN: Physics-informed neural networks with hard constraints☆133Updated 3 years ago
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆78Updated 2 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆88Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆85Updated 4 years ago
- ☆97Updated 3 years ago
- ☆103Updated last year
- B-PINN - Jax - HMC tutorial☆18Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆70Updated 2 years ago
- ☆17Updated 3 months ago
- ☆108Updated 4 months ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆47Updated last year
- physics-informed neural network for elastodynamics problem☆140Updated 3 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆92Updated 3 years ago
- PINN program for computational mechanics☆111Updated last year
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆18Updated 2 years ago
- POD-PINN code and manuscript☆51Updated 6 months ago
- ☆210Updated 3 years ago
- ☆50Updated 5 months ago
- ☆55Updated 4 months ago
- gPINN: Gradient-enhanced physics-informed neural networks☆91Updated 3 years ago
- PINN in solving Navier–Stokes equation☆102Updated 4 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆78Updated 2 years ago
- ☆62Updated 2 years ago
- Implementation of PINNs in TensorFlow 2☆78Updated last year
- Original implementation of fast PINN optimization with RBA weights☆54Updated last month
- An implementation of Physics-Informed Neural Networks (PINNs) to solve various forward and inverse problems for the 1 dimensional wave eq…☆33Updated 2 years ago
- ☆25Updated 4 months ago
- ☆53Updated 2 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year