apivich-h / pinnacleLinks
ποΈ PINNACLE: PINN Adaptive ColLocation and Experimental points selection
β24Updated last year
Alternatives and similar repositories for pinnacle
Users that are interested in pinnacle are comparing it to the libraries listed below
Sorting:
- β24Updated 5 months ago
- Official Implementation of "AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorovβ¦β16Updated last month
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.β27Updated 4 years ago
- β26Updated 3 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorchβ19Updated last year
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networksβ11Updated 2 months ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)β16Updated 4 years ago
- β12Updated 11 months ago
- β29Updated 3 years ago
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)β25Updated last year
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six aβ¦β13Updated 3 years ago
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differenβ¦β22Updated last year
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition mβ¦β15Updated 2 years ago
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neurβ¦β13Updated last year
- Data preprocess method on Physics-informed neural networksβ23Updated 8 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"β54Updated last year
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.β35Updated last year
- β22Updated last year
- β36Updated 4 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)β32Updated last year
- Domain Agnostic Fourier Neural Operators (DAFNO)β18Updated last year
- Physics-encoded recurrent convolutional neural networkβ46Updated 3 years ago
- β12Updated 2 years ago
- In this repository we give some basic intuitions of PINNS and how to implement it for heat equation.β16Updated 7 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."β75Updated 6 months ago
- β12Updated 11 months ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problemβ15Updated 11 months ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nβ¦β35Updated 2 years ago
- PROSE: Predicting Multiple Operators and Symbolic Expressionsβ30Updated last week
- Original implementation of fast PINN optimization with RBA weightsβ66Updated 2 months ago