the-rccg / hw2d
Reference implementation for the Hasegawa-Wakatani model of plasma turbulence inside nuclear fusion reactors in two dimensions
☆22Updated 5 months ago
Alternatives and similar repositories for hw2d:
Users that are interested in hw2d are comparing it to the libraries listed below
- Simple OOP Python Code to run some Pseudo-Spectral 2D Simulations of Turbulence☆63Updated last year
- Scientific Machine Learning Tutorials☆36Updated 3 years ago
- ☆48Updated last year
- ☆14Updated 3 weeks ago
- Automatic-Differentiation-Enabled Plasma Transport in JAX☆27Updated 2 weeks ago
- Pseudospectral Kolmogorov Flow Solver☆37Updated last year
- Using NVIDIA modulus for airfoil optimizations at different angles.☆23Updated last year
- A Python library for training neural ODEs.☆20Updated last month
- A library for dimensionality reduction on spatial-temporal PDE☆61Updated 9 months ago
- PyMGRIT is a package for the Multigrid-Reduction-in-Time (MGRIT) algorithm in Python.☆17Updated 2 years ago
- ☆21Updated 6 months ago
- A Python library for solving any system of hyperbolic or parabolic Partial Differential Equations. The PDEs can have stiff source terms a…☆55Updated 5 years ago
- ☆28Updated 11 months ago
- Model-Order Reduction Framework for Nek5000☆13Updated 2 months ago
- Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.☆17Updated last year
- Distributed Fourier Neural Operators☆29Updated 2 years ago
- Solvers for Implicit Runge Kutta methods☆20Updated this week
- Comparison of various numerical methods for computational fluid dynamics☆67Updated last year
- Python interface for libROM, library for reduced order models☆58Updated 2 weeks ago
- The algorithmic differentation tool pyadjoint and add-ons.☆92Updated last week
- 1D-1V Vlasov-Poisson(-Fokker-Planck), Plasma Physics PDE Simulation Tool in NumPy and experiment management in MLFlow☆33Updated last year
- Dimension reduced surrogate construction for parametric PDE maps☆38Updated last month
- A two-level sparse direct solver for elliptic PDEs.☆30Updated 7 months ago
- A scalable reinforcement learning framework for CFD on HPC systems☆28Updated 2 months ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆143Updated this week
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- A high-performance code for direct numerical simulations of turbulent Taylor-Couette flow☆26Updated 5 years ago
- Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.☆89Updated last month
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆82Updated 3 years ago