geekyifei / randomized-PINNLinks
Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors
☆10Updated 5 months ago
Alternatives and similar repositories for randomized-PINN
Users that are interested in randomized-PINN are comparing it to the libraries listed below
Sorting:
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆12Updated 2 years ago
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆22Updated 5 months ago
- Data preprocess method on Physics-informed neural networks☆19Updated 7 months ago
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆12Updated last year
- ☆11Updated 9 months ago
- Multi-fidelity regression with neural networks☆15Updated 9 months ago
- ☆24Updated last year
- ☆22Updated last year
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆13Updated 9 months ago
- ☆16Updated last year
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)☆24Updated last year
- ☆12Updated 2 years ago
- Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.1…☆17Updated 3 years ago
- Official Implementation of "AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov…☆15Updated 4 months ago
- Neural integration for constitutive equations☆10Updated last year
- ☆25Updated 11 months ago
- Physics-informed deep learning for structural dynamics under moving load☆16Updated 11 months ago
- PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leverag…☆16Updated 5 months ago
- ☆13Updated 9 months ago
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆25Updated last month
- Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms☆11Updated 10 months ago
- Implementation of Physics-Informed PointNet (PIPN) for weakly-supervised learning of 2D linear elasticity (plane stress) on multiple sets…☆10Updated last year
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 4 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- Multi-fidelity Gaussian Process☆27Updated 4 years ago
- Multi-fidelity probability machine learning☆18Updated 8 months ago
- Deep finite volume method☆22Updated last year
- Research/development of physics-informed neural networks for dynamic systems☆29Updated 9 months ago
- ☆38Updated 2 years ago
- Data-guided physics-informed neural networks☆13Updated last year