SINTEF / pseudo-hamiltonian-neural-networksView external linksLinks
The package phlearn for modelling pseudo-Hamiltonian systems by pseudo-Hamiltonian neural networks (PHNN), for ODEs and PDEs
☆18Mar 12, 2025Updated 11 months ago
Alternatives and similar repositories for pseudo-hamiltonian-neural-networks
Users that are interested in pseudo-hamiltonian-neural-networks are comparing it to the libraries listed below
Sorting:
- Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems☆13Nov 11, 2021Updated 4 years ago
- This repository contains code for data-driven LES of two-dimensional turbulence.☆11Dec 11, 2021Updated 4 years ago
- PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leverag…☆20Apr 11, 2025Updated 10 months ago
- ☆12Aug 22, 2025Updated 5 months ago
- ☆19Oct 17, 2021Updated 4 years ago
- PINN-COVID analyzes a plurality of epidemiological models through the lens of physics-informed neural networks (PINNs).☆23Oct 12, 2021Updated 4 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆25May 30, 2023Updated 2 years ago
- Port-Hamiltonian Approach to Neural Network Training☆27Dec 11, 2019Updated 6 years ago
- Hamiltonian Neural Networks for solving Differential Equations☆23Mar 24, 2022Updated 3 years ago
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆32Aug 2, 2022Updated 3 years ago
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Nov 17, 2022Updated 3 years ago
- Matlab codes: Comparative study of truss sizing optimisation problem 2020☆10Apr 26, 2020Updated 5 years ago
- ☆16Nov 2, 2025Updated 3 months ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- ☆17Apr 18, 2024Updated last year
- POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for F…☆34Oct 20, 2020Updated 5 years ago
- Physics-Informed Neural Network☆94May 10, 2024Updated last year
- ☆11Jan 7, 2025Updated last year
- Bees CNN Algorithm (A Fuzzy Evolutionary Deep Learning)☆10Dec 20, 2024Updated last year
- Neural Operators with Applications to the Helmholtz Equation☆11Sep 19, 2024Updated last year
- This repository is a guided tutorial on Pseudo-Spectral method that in long run can help as a basis for study material on Direct Numerica…☆12Sep 23, 2021Updated 4 years ago
- Matlab implementation to solve three-dimensional structural topology optimization problems☆12Feb 28, 2024Updated last year
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆18Nov 18, 2024Updated last year
- 深度学习之神经网络核心原理与算法-课程学习相关代码☆12Aug 18, 2018Updated 7 years ago
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆11Apr 5, 2023Updated 2 years ago
- Discovering Differential Equations with Physics-Informed Neural Networks and Symbolic Regression☆11Jul 28, 2023Updated 2 years ago
- The code is for two phase demonstration as example 1 shown in the paper - Gao, Yi, and Yongming Liu. "Reliability-based topology optimiza…☆11Dec 27, 2021Updated 4 years ago
- This repository consists of two-step training DeepONet code.☆14May 22, 2024Updated last year
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆14Dec 24, 2025Updated last month
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago
- ☆14Nov 10, 2021Updated 4 years ago
- Physics Informed Sparse Identification of Nonlinear Dynamics☆12Jan 3, 2025Updated last year
- ☆10Mar 8, 2023Updated 2 years ago
- Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks☆12Jul 29, 2023Updated 2 years ago
- Source code for the paper "Sample-efficient inverse design of freeform nanophotonic devices with physics-informed reinforcement learning"☆12Apr 12, 2024Updated last year
- Generalized sparse regression for continuous and discrete data☆12Dec 12, 2025Updated 2 months ago
- This project discovers equations from data using SINDy (sparse identification on nonlinear dynamics).☆11Mar 22, 2022Updated 3 years ago
- ☆11Mar 31, 2021Updated 4 years ago
- ☆15Updated this week