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Machine-learning inference of the interior structure of low-mass exoplanets

Baumeister, Philipp and Padovan, Sebastiano and Tosi, Nicola and Montavon, Grégoire and Nettelmann, Nadine and MacKenzie, Jasmine and Godolt, Mareike (2020) Machine-learning inference of the interior structure of low-mass exoplanets. EGU General Assembly, 2020-05-04 - 2020-05-08, Vienna, Austria.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/138588/
Document Type:Conference or Workshop Item (Lecture)
Title:Machine-learning inference of the interior structure of low-mass exoplanets
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Baumeister, PhilippUNSPECIFIEDhttps://orcid.org/0000-0001-9284-0143UNSPECIFIED
Padovan, SebastianoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Tosi, NicolaUNSPECIFIEDhttps://orcid.org/0000-0002-4912-2848UNSPECIFIED
Montavon, GrégoireInstitut für Softwaretechnik und Theoretische Informatik, Technische Universität BerlinUNSPECIFIEDUNSPECIFIED
Nettelmann, NadineUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
MacKenzie, JasmineTU BerlinUNSPECIFIEDUNSPECIFIED
Godolt, MareikeUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2020
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:exoplanets; machine learning; interior structure
Event Title:EGU General Assembly
Event Location:Vienna, Austria
Event Type:international Conference
Event Start Date:4 May 2020
Event End Date:8 May 2020
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: Tosi, Dr. Nicola
Deposited On:30 Nov 2020 13:51
Last Modified:24 Jun 2024 12:46

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