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An improved machine-learning model to infer the interior structure of exoplanets

Baumeister, Philipp and Tosi, Nicola and Grenfell, John Lee and MacKenzie, Jasmine (2021) An improved machine-learning model to infer the interior structure of exoplanets. 9th Joint Workshop on High Pressure, Planetary and Plasma Physics (HP4), 9.-10. Sept. 2021, Münster, Deutschland und virtuell.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/146525/
Document Type:Conference or Workshop Item (Speech)
Title:An improved machine-learning model to infer the interior structure of exoplanets
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Baumeister, PhilippPhilipp.Baumeister (at) dlr.dehttps://orcid.org/0000-0001-9284-0143
Tosi, Nicolanicola.tosi (at) dlr.deUNSPECIFIED
Grenfell, John LeeLee.Grenfell (at) dlr.deUNSPECIFIED
MacKenzie, JasmineTechnische Universität Berlin, Zentrum für Astronomie und Astrophysik, Hardenbergstraße 36, 10623 BerlinUNSPECIFIED
Date:9 September 2021
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:exoplanet, interior structure, machine learning
Event Title:9th Joint Workshop on High Pressure, Planetary and Plasma Physics (HP4)
Event Location:Münster, Deutschland und virtuell
Event Type:Workshop
Event Dates:9.-10. Sept. 2021
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Exploration
DLR - Research area:Raumfahrt
DLR - Program:R EW - Space Exploration
DLR - Research theme (Project):R - Exploration of the Solar System
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Planetary Research > Planetary Physics
Institute of Planetary Research > Extrasolar Planets and Atmospheres
Deposited By: Baumeister, Philipp
Deposited On:01 Dec 2021 08:17
Last Modified:04 Jan 2022 11:18

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