Computational challenges in magnetic-confinement fusion physics
Magnetic-fusion plasmas are complex self-organized systems with an extremely wide range
of spatial and temporal scales, from the electron-orbit scales (∼ 10− 11 s,∼ 10− 5 m) to the …
of spatial and temporal scales, from the electron-orbit scales (∼ 10− 11 s,∼ 10− 5 m) to the …
[HTML][HTML] Development of a concept and basis for the DEMO diagnostic and control system
An initial concept for the plasma diagnostic and control (D&C) system has been developed
as part of European studies towards the development of a demonstration tokamak fusion …
as part of European studies towards the development of a demonstration tokamak fusion …
Progress in disruption prevention for ITER
EJ Strait, JL Barr, M Baruzzo, JW Berkery… - Nuclear …, 2019 - iopscience.iop.org
Key plasma physics and real-time control elements needed for robustly stable operation of
high fusion power discharges in ITER have been demonstrated in recent research …
high fusion power discharges in ITER have been demonstrated in recent research …
Offline model-based reinforcement learning for tokamak control
Control for tokamaks, the leading candidate technology for nuclear fusion, is an important
pursuit since the realization of nuclear fusion as an energy source would result in virtually …
pursuit since the realization of nuclear fusion as an energy source would result in virtually …
Exploration via planning for information about the optimal trajectory
Many potential applications of reinforcement learning (RL) are stymied by the large numbers
of samples required to learn an effective policy. This is especially true when applying RL to …
of samples required to learn an effective policy. This is especially true when applying RL to …
ITER breakdown and plasma initiation revisited
PC De Vries, Y Gribov - Nuclear Fusion, 2019 - iopscience.iop.org
This paper revisits a number of key aspects of plasma initiation, aiming to clarify concepts,
provide definitions and improve understanding, in view of ITER First Plasma operation. It …
provide definitions and improve understanding, in view of ITER First Plasma operation. It …
Advancing fusion with machine learning research needs workshop report
Abstract Machine learning and artificial intelligence (ML/AI) methods have been used
successfully in recent years to solve problems in many areas, including image recognition …
successfully in recent years to solve problems in many areas, including image recognition …
Path-oriented early reaction to approaching disruptions in ASDEX Upgrade and TCV in view of the future needs for ITER and DEMO
M Maraschek, A Gude, V Igochine… - Plasma Physics and …, 2017 - iopscience.iop.org
Routine reaction to approaching disruptions in tokamaks is currently largely limited to
machine protection by mitigating an ongoing disruption, which remains a basic requirement …
machine protection by mitigating an ongoing disruption, which remains a basic requirement …
Real-time-capable prediction of temperature and density profiles in a tokamak using RAPTOR and a first-principle-based transport model
F Felici, J Citrin, AA Teplukhina, J Redondo… - Nuclear …, 2018 - iopscience.iop.org
The RAPTOR code is a control-oriented core plasma profile simulator with various
applications in control design and verification, discharge optimization and real-time plasma …
applications in control design and verification, discharge optimization and real-time plasma …
Demonstration of tokamak discharge shutdown with shell pellet payload impurity dispersal
The first rapid tokamak discharge shutdown using dispersive core payload deposition with
shell pellets has been achieved in the DIII-D tokamak. Shell pellets are being investigated …
shell pellets has been achieved in the DIII-D tokamak. Shell pellets are being investigated …