Publications associées à Fast modeling of turbulent transport in fusion plasmas using neural networks

, , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

Plasma tomography consists of reconstructing a two-dimensional radiation profile of a poloidal cross section of a fusion device based on line-integrated measurements along several lines of sight. The reconstruction process is computationally intensive, and ...

2018

Learning Continuous Muscle Control for a Multi-joint Arm by Extending Proximal Policy Optimization with a Liquid State Machine

Marc-Oliver Gewaltig

There have been many advances in the field of reinforcement learning in continuous control problems. Usually, these approaches use deep learning with artificial neural networks for approximation of policies and value functions. In addition, there have been ...

SPRINGER INTERNATIONAL PUBLISHING AG2018

Pedestal Structure and Energy Confinement Studies on TCV

Olivier Sauter, Basil Duval, Patrick Blanchard, Benoît Labit, Christian Gabriel Theiler, Antoine Pierre Emmanuel Alexis Merle, Umar Sheikh, Cedric Kar-Wai Tsui

High external gas injection rates are foreseen for future devices to reduce divertor heat loads and this can influence pedestal stability. Fusion yield has been estimated to vary as strongly as

{T}_{e,{\rm{ped}}}^{2}

so an understanding of the underlying ...

2018

Heavy Impurity Confinement in Hybrid Operation Scenario Plasmas with a Rotating 1/1 Continuous Mode

Jonathan Graves, Wilfred Anthony Cooper, David Pfefferlé, Madhusudan Raghunathan

In future tokamaks like ITER with tungsten walls, it is imperative to control tungsten accumulation in the core of operational plasmas, especially since tungsten accumulation can lead to radiative collapse and disruption. We investigate the behaviour of tu ...

IOP Science2017

Self-consistent interaction of fast particles and ICRF waves in 3D applications of fusion plasma devices

Jonathan Marc Philippe Faustin

Tokamaks and stellarators are the most promising reactor concepts using the magnetic confinement to contain the plasma fuel. Reactors capable of sustaining deuterium-tritium (D-T) fusion reactions requires the confinement of a very high temperature plasma ...

EPFL2017

Hierarchical Model Predictive Control in Fusion Reactors

Stefano Coda, Jean-Marc Moret, Hoang Bao Le

Nuclear fusion still has to pass several milestones on its way to successful energy production, one of them being successful plasma stabilization. The present article presents an innovative control implementation related to plasma control for the generatio ...

Ieee2016

Prediction of Asynchronous Dimensional Emotion Ratings from Audiovisual and Physiological Data

Jean-Philippe Thiran, Touradj Ebrahimi, Eleni Kroupi, Anil Yuce

Automatic emotion recognition systems based on supervised machine learning require reliable annotation of affective behaviours to build useful models. Whereas the dimensional approach is getting more and more popular for rating: affective behaviours in con ...

Elsevier2015

Experimental Validation of a Filament Transport Model in Turbulent Magnetized Plasmas

Nicola Vianello, Heinz Mueller

In a wide variety of natural and laboratory magnetized plasmas, filaments appear as a result of interchange instability. These convective structures substantially enhance transport in the direction perpendicular to the magnetic field. According to filament ...

Amer Physical Soc2015

Digital Control System for Vertical Stability of the TCV Plasma

In advanced mode operation of fusion devices, real time control plays a central role in achieving the desired plasma performance and minimizing the risk of disruptions. With the advances in digital technologies like Digital Signal Processors (DSPs), Field ...

Universidade de Lisboa, Instituto Superior Técnico2014

Free-Boundary Simulations of ITER Advanced Scenarios

Karim Besseghir

The successful operation of ITER advanced scenarios is likely to be a major step forward in the development of controlled fusion as a power production source. ITER advanced scenarios raise specific challenges that are not encountered in presently-operated ...

EPFL2013

Fast modeling of turbulent transport in fusion plasmas using neural networks

Graph Chatbot

Chattez avec Graph Search

Learning Continuous Muscle Control for a Multi-joint Arm by Extending Proximal Policy Optimization with a Liquid State Machine

Pedestal Structure and Energy Confinement Studies on TCV

Heavy Impurity Confinement in Hybrid Operation Scenario Plasmas with a Rotating 1/1 Continuous Mode

Self-consistent interaction of fast particles and ICRF waves in 3D applications of fusion plasma devices

Hierarchical Model Predictive Control in Fusion Reactors

Prediction of Asynchronous Dimensional Emotion Ratings from Audiovisual and Physiological Data

Experimental Validation of a Filament Transport Model in Turbulent Magnetized Plasmas

Digital Control System for Vertical Stability of the TCV Plasma

Free-Boundary Simulations of ITER Advanced Scenarios

Heavy Impurity Confinement in Hybrid Operation Scenario Plasmas with a Rotating 1/1 Continuous Mode

Self-consistent interaction of fast particles and ICRF waves in 3D applications of fusion plasma devices

Digital Control System for Vertical Stability of the TCV Plasma

Prediction of Asynchronous Dimensional Emotion Ratings from Audiovisual and Physiological Data

Free-Boundary Simulations of ITER Advanced Scenarios

Hierarchical Model Predictive Control in Fusion Reactors

Experimental Validation of a Filament Transport Model in Turbulent Magnetized Plasmas

Learning Continuous Muscle Control for a Multi-joint Arm by Extending Proximal Policy Optimization with a Liquid State Machine

Pedestal Structure and Energy Confinement Studies on TCV