Publikation: Dissertationsschrift

Computational challenges in many-particle simulations of extreme matter

Grunddaten
Abstract
Autoren
Einrichtung

Grunddaten

Titel	Computational challenges in many-particle simulations of extreme matter
Erscheinungsjahr	2023
Verlag	Universität Rostock
Verlagsort	Rostock
Publikationsform	Elektronische Ressource
Publikationsart	Dissertationsschrift
Sprache	Englisch
DOI	10.18453/rosdok_id00004533
Letzte Änderung	09.02.2024 06:02:03
Bearbeitungsstatus	durch UB Rostock abschließend validiert
Dauerhafte URL	http://purl.uni-rostock.de/fodb/pub/71003
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Abstract

A profound understanding of warm dense matter properties is essential to unraveling the mysteries of planetary and stellar formation, evolution, and interior structure, as well as establishing inertial confinement fusion as a potential energy source. This thesis employs modern machine-learning approaches to leverage the capabilities of new laser and X-ray facilities. In the context of scattering experiments, the dynamic structure factor of the ions and electrons is employed to connect density functional theory simulations with scattering experiments on different energy scales.

Autor

Schörner, Maximilian Tobias

Einrichtung

MNF/Institut für Physik (IfPH)