apivich-h / pinnacleLinks
🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection
☆24Updated last year
Alternatives and similar repositories for pinnacle
Users that are interested in pinnacle are comparing it to the libraries listed below
Sorting:
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆11Updated last month
- ☆23Updated 4 months ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- ☆26Updated 3 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Updated 4 years ago
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆13Updated last year
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)☆25Updated last year
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆35Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Updated last year
- ☆12Updated 2 years ago
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆15Updated 2 years ago
- In this repository we give some basic intuitions of PINNS and how to implement it for heat equation.☆16Updated 7 months ago
- ☆12Updated 11 months ago
- Official Implementation of "AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov…☆16Updated 2 weeks ago
- ☆29Updated 3 years ago
- About Code release for “RoPINN: Region Optimized Physics-Informed Neural Networks” (NeurIPS 2024), https://arxiv.org/abs/2405.14369☆58Updated 3 months ago
- Paper List of Physics-Informed Neural Network (PINN)☆40Updated 3 months ago
- Original implementation of fast PINN optimization with RBA weights☆62Updated last month
- ☆22Updated last year
- ☆33Updated 3 months ago
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆21Updated last year
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆32Updated last year
- Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors☆11Updated 6 months ago
- Data preprocess method on Physics-informed neural networks☆22Updated 8 months ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆15Updated 10 months ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆37Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆27Updated 2 years ago
- ☆33Updated 3 years ago
- ☆12Updated 10 months ago