jaem-seo / KSTAR_tokamak_simulatorLinks
A tokamak (nuclear fusion reactor) simulator with LSTM-based neural network (KSTAR-NN)
☆79Updated last year
Alternatives and similar repositories for KSTAR_tokamak_simulator
Users that are interested in KSTAR_tokamak_simulator are comparing it to the libraries listed below
Sorting:
- AI design of tokamak operation for autonomous control of fusion plasma.☆25Updated 3 years ago
- Stellarator Equilibrium and Optimization Suite☆138Updated this week
- Bluemira is an integrated inter-disciplinary design tool for future fusion reactors. It incorporates several modules, some of which rely …☆86Updated this week
- Free boundary Grad-Shafranov solver☆114Updated last month
- Python library to run and analyse gyrokinetics simulations☆38Updated this week
- Fast and differentiable particle accelerator optics simulation for reinforcement learning and optimisation applications.☆57Updated this week
- FreeGSNKE: A Python code for evolutive free-boundary tokamak plasma equilibrium simulations☆47Updated last week
- Simons Stellarator Optimizer Code☆121Updated last week
- Routines for tokamak analysis☆22Updated 7 years ago
- Modern toolbox for impurity transport, neutrals and radiation modeling in magnetically-confined plasmas☆48Updated last month
- Additive manufacturing simulation with JAX.☆322Updated 2 months ago
- This is the GitHub repository for STELLOPT, the state-of-the-art stellarator optimization code.☆98Updated last week
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆77Updated 2 months ago
- Variational Autoencoder (VAE)-like neural network to solve ideal MHD equilibrium in a tokamak☆11Updated 3 years ago
- Deep reinforcement learning to perform shape optimization☆67Updated 3 years ago
- Optimization at scale, powered by libEnsemble☆31Updated this week
- Vectorized Plasma PIC code (Python)☆77Updated 4 months ago
- A collection of files that can be used as inputs in the codes commonly used in the Plasma Physics community.☆45Updated 11 months ago
- code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning☆171Updated 2 years ago
- Reference implementation for the Hasegawa-Wakatani model of plasma turbulence inside nuclear fusion reactors in two dimensions☆25Updated last year
- Example problems in Physics informed neural network in JAX☆81Updated 2 years ago
- List of awesome university courses to learn Plasma Physics and Fusion!☆60Updated 2 years ago
- Tokamak plasma operation control through multi-objective reinforcement learning in KSTAR☆22Updated 6 months ago
- PPPL deep learning disruption prediction package☆85Updated 2 years ago
- The Open FUSION Toolkit (OFT) is a suite of modeling tools, and their underlying finite element framework, for problems in plasma and fus…☆45Updated this week
- Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.☆66Updated 4 years ago
- Automatic-Differentiation-Enabled Plasma Transport in JAX☆33Updated this week
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆116Updated 3 years ago
- A multi-agent reinforcement learning environment to design and benchmark control strategies aimed at reducing drag in turbulent open chan…☆59Updated last year
- The Stepped-Pressure Equilibrium Code, an advanced MRxMHD equilibrium solver.☆29Updated last month