A simple Physics Informed Neural Network (PINN) implementation in TensorFlow 2 for magnetic field mapping using finite amount of magnetic field measurements.
☆11Jun 7, 2022Updated 3 years ago
Alternatives and similar repositories for bmapping-pinn
Users that are interested in bmapping-pinn are comparing it to the libraries listed below
Sorting:
- User friendly magnetic field calculations in python☆10Jan 12, 2026Updated last month
- ☆31Sep 13, 2025Updated 5 months ago
- ☆12Aug 22, 2025Updated 6 months ago
- ☆26Jun 12, 2025Updated 8 months ago
- An external library for OpenFOAM, containing a custom boundary condition for a velocity field behind cylinder.☆26Aug 16, 2023Updated 2 years ago
- ☆30Feb 17, 2024Updated 2 years ago
- ☆16Nov 2, 2025Updated 3 months 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
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆33Nov 23, 2023Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆32Dec 24, 2021Updated 4 years ago
- [ICLR 2025] PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations☆44Nov 4, 2025Updated 3 months ago
- ☆35Jan 5, 2024Updated 2 years ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆38Jun 21, 2023Updated 2 years ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- These are simulations meant to depict the working principles behind Magnetic Particle Imaging as teaching tools☆11Oct 7, 2023Updated 2 years ago
- ☆30Apr 14, 2025Updated 10 months ago
- ☆17Apr 18, 2024Updated last year
- Gaussian process-based interpretable latent space dynamics identification through deep autoencoder☆38Feb 14, 2026Updated last week
- ☆14Nov 10, 2021Updated 4 years ago
- A gui for evaluating estimated trajctory☆10Oct 7, 2021Updated 4 years ago
- This repository consists of two-step training DeepONet code.☆14May 22, 2024Updated last year
- This project discovers equations from data using SINDy (sparse identification on nonlinear dynamics).☆11Mar 22, 2022Updated 3 years ago
- 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☆12Apr 5, 2023Updated 2 years ago
- Discovering Differential Equations with Physics-Informed Neural Networks and Symbolic Regression☆11Jul 28, 2023Updated 2 years ago
- Parrot robot Jumping Sumo☆10Jan 8, 2016Updated 10 years ago
- Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks☆12Jul 29, 2023Updated 2 years ago
- Calculations of dipole axis, dipole poles, and dipole tilt angle☆10Oct 28, 2024Updated last year
- ☆10Mar 8, 2023Updated 2 years ago
- Learn Diffusion Models☆18Sep 1, 2025Updated 5 months ago
- 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
- Source code for the paper "Sample-efficient inverse design of freeform nanophotonic devices with physics-informed reinforcement learning"☆12Apr 12, 2024Updated last year
- ☆11Feb 24, 2022Updated 4 years ago
- Neural Operators with Applications to the Helmholtz Equation☆11Sep 19, 2024Updated last year
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago
- Jupyter Notebooks with PyQGIS Tutorials☆11Jun 24, 2022Updated 3 years ago
- Physics Informed Sparse Identification of Nonlinear Dynamics☆12Jan 3, 2025Updated last year
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆14Dec 24, 2025Updated 2 months ago
- ☆11Mar 31, 2021Updated 4 years ago