alirezayazdani1 / HFMLinks
☆16Updated 4 years ago
Alternatives and similar repositories for HFM
Users that are interested in HFM are comparing it to the libraries listed below
Sorting:
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆88Updated 4 years ago
- POD-PINN code and manuscript☆55Updated last year
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆92Updated 2 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆84Updated 2 months ago
- Discontinuity Computing Using Physics-Informed Neural Network☆26Updated last year
- MIONet: Learning multiple-input operators via tensor product☆39Updated 3 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆57Updated 3 years ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- ☆115Updated 9 months ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆74Updated 2 years ago
- Modified Meshgraphnets with more features☆57Updated 9 months ago
- ☆54Updated 3 years ago
- Deep learning library for solving differential equations on top of PyTorch.☆62Updated 5 years ago
- ☆21Updated 5 years ago
- Deep Learning of Vortex Induced Vibrations☆99Updated 5 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆85Updated last year
- Turbulent flow network source code☆71Updated 8 months ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆28Updated 2 years ago
- ☆63Updated 6 years ago
- ☆70Updated last year
- ☆110Updated last year
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆69Updated 2 years ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆25Updated 2 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- ☆23Updated 3 years ago
- ☆60Updated 7 months ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆26Updated 10 months ago