Magnetic control of tokamak plasmas through deep reinforcement learning

Ion temperature gradient control using reinforcement learning technique

(2021) Takuma Wakatsuki et al.   NUCLEAR FUSION

Data-driven profile prediction for DIII-D

(2021) Joseph Abbate et al.   NUCLEAR FUSION

Feedforward beta control in the KSTAR tokamak by deep reinforcement learning

(2021) Jaemin Seo et al.   NUCLEAR FUSION

Probabilistic Model Predictive Safety Certification for Learning-Based Control

(2021) Henk J. Wabersich et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Research on Students’ Adaptive Learning System Based on Deep Learning Model

(2021) Xi Yang et al.   Scientific Programming

Fast modeling of turbulent transport in fusion plasmas using neural networks

(2020) K. L. van de Plassche et al.   PHYSICS OF PLASMAS

Advancing Fusion with Machine Learning Research Needs Workshop Report

(2020) David Humphreys et al.   JOURNAL OF FUSION ENERGY

Plasma flux expansion control on the DIII-D tokamak

(2020) Himank Anand et al.   PLASMA PHYSICS AND CONTROLLED FUSION

Autonomous navigation of stratospheric balloons using reinforcement learning

(2020) Marc G. Bellemare et al.   NATURE

Achievement of Reactor-Relevant Performance in Negative Triangularity Shape in the DIII-D Tokamak

(2019) M. E. Austin et al.   PHYSICAL REVIEW LETTERS

MIMO shape control at the EAST tokamak: Simulations and experiments

(2019) A. Mele et al.   FUSION ENGINEERING AND DESIGN

Predicting disruptive instabilities in controlled fusion plasmas through deep learning

(2019) Julian Kates-Harbeck et al.   NATURE

Safety factor profile control with reduced central solenoid flux consumption during plasma current ramp-up phase using a reinforcement learning technique

(2019) T. Wakatsuki et al.   NUCLEAR FUSION

PHYSICS RESEARCH ON THE TCV TOKAMAK FACILITY: FROM CONVENTIONAL TO ALTERNATIVE SCENARIOS AND BEYOND

(2019) Stefano Coda et al.   NUCLEAR FUSION

Real time magnetic control of the snowflake plasma configuration in the TCV tokamak

(2019) Himank Anand et al.   NUCLEAR FUSION

Automating the design of tokamak experiment scenarios

(2019) Jacques Blum et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Deep neural network Grad–Shafranov solver constrained with measured magnetic signals

(2019) Semin Joung et al.   NUCLEAR FUSION

Model-based plasma vertical stabilization and position control at EAST

(2018) G. De Tommasi et al.   FUSION ENGINEERING AND DESIGN

Plasma Magnetic Control in Tokamak Devices

(2018) Gianmaria De Tommasi   JOURNAL OF FUSION ENERGY

Initial development of the DIII–D snowflake divertor control

(2018) E. Kolemen et al.   NUCLEAR FUSION

Neutral beam heating on the TCV tokamak

(2017) Alexander N. Karpushov et al.   FUSION ENGINEERING AND DESIGN

Overview of the TCV tokamak program: scientific progress and facility upgrades

(2017) S. Coda et al.   NUCLEAR FUSION

A novel plasma position and shape controller for advanced configuration development on the TCV tokamak

(2017) H. Anand et al.   NUCLEAR FUSION

Tokamak equilibrium reconstruction code LIUQE and its real time implementation

(2015) J.-M. Moret et al.   FUSION ENGINEERING AND DESIGN

Real-time optical plasma boundary reconstruction for plasma position control at the TCV Tokamak

(2014) G. Hommen et al.   NUCLEAR FUSION