elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Accessibility | Contact | Deutsch
Fontsize: [-] Text [+]

Atomic scale simulations for liquid metals and alloys: Machine learning potentials and feature selection

Sandberg, Johannes Erik (2024) Atomic scale simulations for liquid metals and alloys: Machine learning potentials and feature selection. Dissertation, University of Grenoble.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/214726/
Document Type:Thesis (Dissertation)
Title:Atomic scale simulations for liquid metals and alloys: Machine learning potentials and feature selection
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Sandberg, Johannes ErikUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
DLR Supervisors:
ContributionDLR SupervisorInstitution or E-MailDLR Supervisor's ORCID iD
Thesis advisorVoigtmann, ThomasThomas.Voigtmann (at) dlr.deUNSPECIFIED
Date:December 2024
Open Access:No
Number of Pages:140
Status:Published
Keywords:machine learning, computer simulation, metallic alloys
Institution:University of Grenoble
Department:School of Physics
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Research under Space Conditions
DLR - Research area:Raumfahrt
DLR - Program:R FR - Research under Space Conditions
DLR - Research theme (Project):R - Material Design and New Materials
Location: Köln-Porz
Institutes and Institutions:Institute of Materials Physics in Space
Deposited By: Voigtmann, Dr.rer.nat. Thomas
Deposited On:25 Jun 2025 09:41
Last Modified:07 Jul 2025 08:59

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
OpenAIRE Validator logo electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.