Plasma confinement mode classification using a sequence-to-sequence neural network with attention

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

On the basis of several recent breakthroughs in fusion research, many activities have been launched around the world to develop fusion power plants on the fastest possible time scale. In this context, high-fidelity simulations of the plasma behavior on lar ...

In recent years a strong effort has been made to investigate disruption avoidance schemes in order to aid the development of integrated operational scenarios for ITER. Within the EUROfusion programme the disruptive H-mode density limit (HDL) has been studi ...

Plasma confinement mode classification using a sequence-to-sequence neural network with attention

Chat with Graph Search

Milestone in predicting core plasma turbulence: successful multi-channel validation of the gyrokinetic code GENE

Disruption avoidance and investigation of the H-Mode density limit in ASDEX Upgrade