youngkyu-kim / Gappy-AELinks
☆13Updated last year
Alternatives and similar repositories for Gappy-AE
Users that are interested in Gappy-AE are comparing it to the libraries listed below
Sorting:
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 6 years ago
- Physics-informed radial basis network☆31Updated last year
- ☆30Updated 2 years ago
- ☆33Updated 3 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆35Updated 3 weeks ago
- Physics-informed neural networks for identifying material properties in solid mechanics☆21Updated 2 years ago
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆13Updated 10 months ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆39Updated 11 months ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Multifidelity DeepONet☆34Updated 2 years ago
- ☆39Updated 3 years ago
- PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leverag…☆14Updated 3 months ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆27Updated 2 years ago
- ☆11Updated last week
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- Multi-fidelity reduced-order surrogate modeling☆24Updated last month
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆32Updated last year
- Physics-guided neural network framework for elastic plates☆42Updated 3 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆29Updated last year
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆25Updated last year
- ☆10Updated 7 months ago
- Physics-Informed Super-Resolution☆10Updated 2 years ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆11Updated 3 years ago
- This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how…☆16Updated 2 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆65Updated last month
- Soving heat transfer problems using PINN with tf2.0☆19Updated 4 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆21Updated 2 years ago
- Multi-head attention network for airfoil flow field prediction☆13Updated 2 years ago
- ☆20Updated 8 months ago