apivich-h / pinnacleLinks
🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection
☆26Updated 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 3 months ago
- ☆24Updated 5 months ago
- ☆26Updated 3 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆15Updated 2 years ago
- Deep finite volume method☆21Updated last year
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆26Updated last month
- ☆13Updated last year
- Data preprocess method on Physics-informed neural networks☆24Updated 9 months ago
- ☆29Updated 3 years ago
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆14Updated last year
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- ☆22Updated last year
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)☆25Updated last year
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆28Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Updated last year
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆12Updated 5 months ago
- Physics Informed Fourier Neural Operator☆23Updated last year
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆15Updated last year
- Data-guided physics-informed neural networks☆15Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆30Updated 3 years ago
- ☆12Updated 3 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Updated 4 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆54Updated last year
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Updated 3 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆75Updated 2 years ago
- Code for orthogonal neural operator☆17Updated 2 years ago
- Original implementation of fast PINN optimization with RBA weights☆68Updated 2 months ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆35Updated last year