Please note: unless otherwise specified, the internships are only available for students with a nationality of an EU-member state and/or students from a Dutch university.
DIFFER (Dutch Institute for Fundamental Energy Research) is one of the Netherlands Organisation for Scientific Research (NWO) institutes and focuses on a multidisciplinary approach to energy research, combining physics, chemistry, engineering and materials science. The institute is based on two main strands, solar fuels for the conversion and storage of renewable energy and fusion-energy as clean and unlimited source of energy. DIFFER is developing and supporting a national network on fundamental energy research and is closely collaborating with academic institutions, research institutes and industry. As of 2015 the institute is located in a new building at the campus of Eindhoven University of Technology (TU/e).
In a previous Master Thesis project a neural network regression was performed of the warm plasma Ordinary mode dispersion relation. In order to extend this work to the eXtraordinary mode, first a thorough analysis of the different mode branches of the X-mode is required. In particular, around the second harmonic resonance the warm plasma dispersion is characterized by a complex interplay between the fast X-mode and the Bernstein mode, which needs to be documented before a neural network regression can be attempted.
The neural network regression can help to speed up existing ray and beam tracing codes. However, a further step in the quality of the regression is to be made before the actual implementation in a ray or beam tracing code.
Intended level: MSc
Expertise needed: plasma physics or computer science
Contact for further information or application: Egbert Westerhof, email@example.com
|Intitulé||MsC Project: Neural Network Regression of the Warm Plasma Dispersion Relation|
|Employer||Dutch Institute for Fundamental Energy Research (DIFFER)|
|Job location||De Zaale 20, 5612 AJ Eindhoven|
|Publié||mars 21, 2019|
|Date limite d'inscription||Non Spécifiée|
|Types d'emploi||Assistant de recherche,   Autre  |
|Domaines de recherche :||Réseau de neurones artificiels,   Physique numérique,   Physique des plasmas  |