PredictiveIntelligenceLab / 1DBloodFlowPINNsLinks
☆60Updated 2 years ago
Alternatives and similar repositories for 1DBloodFlowPINNs
Users that are interested in 1DBloodFlowPINNs are comparing it to the libraries listed below
Sorting:
- PINN for obtaining WSS from sparse data☆64Updated last year
- ☆33Updated 3 years ago
- ☆28Updated 2 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆47Updated last year
- ODIL (Optimizing a Discrete Loss) is a Python framework for solving inverse and data assimilation problems for partial differential equat…☆105Updated 2 months ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆88Updated last year
- Blood Flow Modeling with Physics-Informed Neural Networks☆16Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆85Updated 4 years ago
- Physics Informed Neural Networks☆20Updated 4 years ago
- EP-PINNs implementation for 1D and 2D forward and inverse solvers for the Aliev-Panfilov cardiac electrophysiology model. Also includes M…☆24Updated 2 years ago
- ☆109Updated 4 months ago
- B-PINN - Jax - HMC tutorial☆18Updated 2 years ago
- POD-PINN code and manuscript☆51Updated 7 months ago
- Physics-informed graph neural network (GNN) emulation of soft-tissue mechanics☆33Updated 3 months ago
- Point-cloud deep learning for prediction of fluid flow fields on irregular geometries (supervised learning)☆30Updated 2 weeks ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆55Updated 3 years ago
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- FEniCSx-based cardiovascular multi-physics solver☆46Updated last month
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆79Updated 3 years ago
- physics-informed neural network for elastodynamics problem☆142Updated 3 years ago
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- A multi-physics finite element solver for patient-specific blood flow simulation including fluid-structure interaction and cardiac electr…☆41Updated last year
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆64Updated last month
- gPINN: Gradient-enhanced physics-informed neural networks☆92Updated 3 years ago
- Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357☆10Updated 4 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 4 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆71Updated 2 years ago
- ☆12Updated 3 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆25Updated 3 years ago