li-group / KKThPINNLinks
☆14Updated last year
Alternatives and similar repositories for KKThPINN
Users that are interested in KKThPINN are comparing it to the libraries listed below
Sorting:
- Workshop tutorials for Pyomo.DoE☆13Updated 7 months ago
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆17Updated 2 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆60Updated 3 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆13Updated 4 years ago
- ☆32Updated last year
- GPTIPS2F: Symbolic Regression toolbox for MATLAB evolved☆11Updated 3 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- An integrated demo: Gaussian processes for PDEs and inverse problems☆16Updated 5 months ago
- Dasslc is a solver for differential-algebraic equations inspired by DASSL. A python module for dasslc is provided.☆18Updated last year
- Stochastic Optimization under Uncertainty in Python.☆36Updated 7 months ago
- Spectral Methods in Python☆60Updated 8 months ago
- ☆10Updated 2 years ago
- Learning Green's functions of partial differential equations with deep learning.☆71Updated 2 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 3 years ago
- An intuitive modeling interface for infinite dimensional optimization problems.☆11Updated this week
- ☆21Updated 5 years ago
- ☆16Updated last year
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆87Updated 4 years ago
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆53Updated 3 years ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆23Updated 4 years ago
- FOQUS: Framework for Optimization and Quantification of Uncertainty and Surrogates☆49Updated 2 weeks ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 3 years ago
- Constructing linearizing transformations for reduced-order modeling of nonlinear dynamical systems☆11Updated last year
- ☆13Updated 4 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Convolutional Solvers for Partial Differential Equations☆27Updated 5 years ago
- PINN-COVID analyzes a plurality of epidemiological models through the lens of physics-informed neural networks (PINNs).☆23Updated 4 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆77Updated 2 months ago
- Transfer learning on physics-informed neural networks for tracking the hemodynamics in the evolving false lumen of dissected aorta☆17Updated last year
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆41Updated last year