Cover Image

Active Disruption Avoidance and Trajectory Design for Tokamak Ramp-downs with Neural Differential Equations and Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Allen M., So, Oswin, Dawson, Charles, Garnier, Darren T., Rea, Cristina, Fan, Chuchu
Format:	Preprint
Published:	2024
Subjects:	Plasma Physics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Plasma Dynamics and Robust Rampdown Trajectories with Predict-First Experiments at TCV
by: Wang, Allen M., et al.
Published: (2025)

A Simple Model of Current Ramp-Up and Ramp-Down in Tokamaks
by: Fitzpatrick, R.
Published: (2025)

Comment on Nuclear Fusion 66, 016012 (2026) and arXiv:2508.03561 by Richard Fitzpatrick, A Simple Model of Current Ramp-Up and Ramp-Down in Tokamaks
by: Boozer, Allen H
Published: (2026)

Eliminating Tokamak Disruptions with Feedback
by: Strauss, H. R.
Published: (2025)

Application of Neural Ordinary Differential Equations for Tokamak Plasma Dynamics Analysis
by: Liu, Zefang, et al.
Published: (2024)

Optimizing External Sources for Controlled Burning Plasma in Tokamaks with Neural Ordinary Differential Equations
by: Liu, Zefang, et al.
Published: (2025)

Reply to "Comment on Nuclear Fusion 66, 016012 (2026) by Richard Fitzpatrick, A Simple Model of Current Ramp-Up and Ramp-Down in Tokamaks" by A.H. Boozer
by: Fitzpatrick, Richard
Published: (2026)

Identification and Characterization of a New Disruption Regime in ADITYA-U Tokamak
by: Banerjee, Soumitra, et al.
Published: (2025)

The Impact of Collisionality on the Runaway Electron Avalanche during a Tokamak Disruption
by: Arnaud, Jonathan, et al.
Published: (2024)

Implications of Vertical Stability Control on the SPARC Tokamak
by: Nelson, A. O., et al.
Published: (2024)

Evaluation of the Transfer Matrix of a Plasma Ramp with Squared Cosine Shape via an Approximate Solution of the Mathieu Differential Equation
by: Romeo, Stefano, et al.
Published: (2025)

Adaptive Anomaly Detection Disruption Prediction Starting from First Discharge on Tokamak
by: Ai, Xinkun
Published: (2024)

Cross-Tokamak Deployment Study of Plasma Disruption Predictors Based on Convolutional Autoencoder
by: Ai, Xinkun, et al.
Published: (2023)

Disruption Modelling for Engineering and Physics Design of Tokamak Energy ST-E1 Fusion Power Plant
by: Scarpari, M., et al.
Published: (2025)

T3ST code: Turbulent Transport in Tokamaks via Stochastic Trajectories
by: Palade, D. I., et al.
Published: (2025)

Autoregressive Transformers for Disruption Prediction in Nuclear Fusion Plasmas
by: Spangher, Lucas, et al.
Published: (2023)

TORAX: A Fast and Differentiable Tokamak Transport Simulator in JAX
by: Citrin, Jonathan, et al.
Published: (2024)

Electromagnetic System Conceptual Design for a Negative Triangularity Tokamak
by: Guizzo, Sophia, et al.
Published: (2025)

Emulation Techniques for Scenario and Classical Control Design of Tokamak Plasmas
by: Agnello, A., et al.
Published: (2024)

High-Fidelity Data-Driven Dynamics Model for Reinforcement Learning-based Control in HL-3 Tokamak
by: Wu, Niannian, et al.
Published: (2024)

Solving Minimum-Cost Reach Avoid using Reinforcement Learning
by: So, Oswin, et al.
Published: (2024)

Discovery of Density Limit Disruption Induced by Core-localized Alfv${é}$nic Ion Temperature Gradient Instabilities in a Tokamak Plasma
by: Chen, Wei, et al.
Published: (2026)

SPARC Tokamak Error Field Expectations and Physics-Based Correction Coil Design
by: Logan, N. C., et al.
Published: (2026)

Physics-Informed Visual MARFE Prediction on the HL-3 Tokamak
by: Dong, Qianyun, et al.
Published: (2025)

Prediction of Fishbone Linear Instability in Tokamaks with Machine Learning Methods
by: Liu, Z. Y., et al.
Published: (2024)

Turbulent Transport-Limited Pedestals in Tokamaks
by: Parisi, J. F., et al.
Published: (2025)

HIPED: Machine Learning Framework for Spherical Tokamak Pedestal Prediction and Optimization
by: Parisi, J. F., et al.
Published: (2025)

Computing Flux-Surface Shapes in Tokamaks and Stellarators
by: Gerard, M. J., et al.
Published: (2025)

Analysis of M=1 Modes in The EAST Tokamak
by: Hu, Qingyun, et al.
Published: (2021)

Infrared Thermography in the Tokamak à Configuration Variable
by: Zurita, M., et al.
Published: (2026)

Feasibility of Negative Triangularity Equilibria in the SPARC Tokamak
by: Yüksek, Narin, et al.
Published: (2026)

Tokamak to Stellarator Conversion using Permanent Magnets
by: Madeira, M., et al.
Published: (2024)

Conceptual Design of a Doppler Spectrometer for 10$^2$ m/s Cross-Field Flows in Tokamak Divertors
by: Fujii, Keisuke, et al.
Published: (2024)

Design and Testing of Dimes Carbon Ablation Rods in the DIII-D Tokamak
by: Orlov, Dmitri M., et al.
Published: (2021)

AI-Machine Learning-Enabled Tokamak Digital Twin
by: Tang, William, et al.
Published: (2024)

Kinetic-Ballooning-Limited Pedestals in Spherical Tokamak Plasmas
by: Parisi, J. F., et al.
Published: (2023)

Electrothermal Dynamics of Cold Front in Impure Tokamak Plasmas
by: Oshiro, S., et al.
Published: (2026)

Neural Differential Equations for the Solar Dynamo
by: Illarionov, E., et al.
Published: (2026)

A Data-Free, Physics-Informed Surrogate Solver for Drift Kinetic Equation: Enabling Fast Neoclassical Toroidal Viscosity Torque Modeling in Tokamaks
by: Yan, Xingting, et al.
Published: (2026)

Fast solvers for Tokamak fluid models with PETSC
by: Adams, Mark F., et al.
Published: (2025)