kmanohar / SSPOR_pub
This repository contains Matlab code to reproduce results for the sparse sensor placement optimization for reconstruction (SSPOR) algorithm.
☆20Updated 8 years ago
Alternatives and similar repositories for SSPOR_pub:
Users that are interested in SSPOR_pub are comparing it to the libraries listed below
- Non-intrusive reduced order models using proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation for shallow …☆18Updated 3 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆65Updated last year
- ☆28Updated last year
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆24Updated last year
- POD-PINN code and manuscript☆51Updated 5 months ago
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 3 years ago
- ☆37Updated last year
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆17Updated 2 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆30Updated last year
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆34Updated 2 years ago
- Python tools for non-intrusive reduced order modeling☆19Updated 3 weeks ago
- This repository contains an Auto-encoder ConvLSTM network (Pytorch) which can be used to predict a large number of time steps (100+). The…☆22Updated 2 years ago
- Blood Flow Modeling with Physics-Informed Neural Networks☆15Updated 2 years ago
- codes for PINNs☆12Updated 4 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆58Updated 3 years ago
- A Self-Training Physics-Informed Neural Network for Partial Differential Equations☆21Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆25Updated last year
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆48Updated 4 years ago
- XPINN code written in TensorFlow 2☆27Updated 2 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 python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆25Updated 3 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆70Updated last year
- multi-fidelity neural network☆18Updated last year
- PINN for obtaining WSS from sparse data☆62Updated last year
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆79Updated last year
- Physics-encoded recurrent convolutional neural network☆46Updated 3 years ago
- Sparse Physics-based and Interpretable Neural Networks☆48Updated 3 years ago
- ☆37Updated 2 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆44Updated 11 months ago
- ODIL (Optimizing a Discrete Loss) is a Python framework for solving inverse and data assimilation problems for partial differential equat…☆103Updated last week