jdtoscano94 / Instant-AIVT
Official Implementation of "AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov-Arnold Networks"
☆10Updated last week
Alternatives and similar repositories for Instant-AIVT
Users that are interested in Instant-AIVT are comparing it to the libraries listed below
Sorting:
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆19Updated 9 months ago
- ☆15Updated 11 months ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆14Updated 8 months ago
- Data preprocess method on Physics-informed neural networks☆15Updated 2 months ago
- ☆14Updated last year
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆11Updated last year
- Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms☆11Updated 6 months ago
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆22Updated 2 months ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆11Updated 10 months ago
- ☆12Updated 2 years ago
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆11Updated 7 months ago
- ☆20Updated last year
- Transfer learning on PINNs for tracking hemodynamics☆13Updated 9 months ago
- ☆11Updated 3 years ago
- The public repository about our joint FINN research project☆36Updated 2 years ago
- ☆27Updated 2 months ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆15Updated 4 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆32Updated 10 months ago
- Sparse Identification of Truncation Errors (SITE) for Data-Driven Discovery of Modified Differential Equations☆10Updated 5 years ago
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)☆20Updated 11 months ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 2 years ago
- ☆16Updated 9 months ago
- Variational Physic-informed Neural Operator (VINO) for Learning Partial Differential Equations☆13Updated last week
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆15Updated last year
- ☆14Updated 3 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆28Updated last year
- ☆10Updated last year
- ☆10Updated 2 years ago
- Variational Neural Networks for the Solution of Partial Differential Equations☆8Updated 5 years ago
- Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors☆8Updated last month