jaem-seo / AI_tokamak_controlLinks
AI design of tokamak operation for autonomous control of fusion plasma.
☆29Updated 3 years ago
Alternatives and similar repositories for AI_tokamak_control
Users that are interested in AI_tokamak_control are comparing it to the libraries listed below
Sorting:
- A tokamak (nuclear fusion reactor) simulator with LSTM-based neural network (KSTAR-NN)☆87Updated 2 years ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆88Updated 5 months ago
- Tokamak plasma operation control through multi-objective reinforcement learning in KSTAR☆24Updated 9 months ago
- Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.☆66Updated 4 years ago
- Variational Autoencoder (VAE)-like neural network to solve ideal MHD equilibrium in a tokamak☆11Updated 3 years ago
- reinforcement learning for active fluid control☆36Updated 5 years ago
- Transformers for modeling physical systems☆145Updated 2 years ago
- Lightweight and scalable framework for Reinforcement Learning☆128Updated 2 years ago
- Example problems in Physics informed neural network in JAX☆82Updated 2 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆62Updated 4 years ago
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆16Updated 2 years ago
- Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.☆21Updated 2 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 3 years ago
- ☆28Updated 4 years ago
- ☆15Updated last year
- Solve the advection diffusion equations looped into an optimization problem with JAX/autodiff☆14Updated 7 months ago
- Stellarator Equilibrium and Optimization Suite☆147Updated this week
- Efficient Differentiable n-d PDE solvers in JAX.☆52Updated 2 months ago
- PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.☆57Updated last year
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆22Updated 4 years ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆56Updated 2 years ago
- A multi-agent reinforcement learning environment to design and benchmark control strategies aimed at reducing drag in turbulent open chan…☆64Updated last year
- The code used, and a docker image to run it, of the paper `Exploiting locality and physical invariants to design effective Deep Reinforce…☆13Updated 6 years ago
- Introduction to JAX Workshop @ ETH Zurich, 25 June 2024☆39Updated 8 months ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆48Updated 2 years ago
- Python library to run and analyse gyrokinetics simulations☆40Updated last week
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆27Updated last month
- ☆55Updated 2 years ago
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 years ago
- Robust active flow control over a range of Reynolds numbers using artificial neural network trained through deep reinforcement learning☆33Updated 5 years ago