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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, Vienna, Austria.

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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
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Baumeister, PhilippPhilipp.Baumeister (at) dlr.dehttps://orcid.org/0000-0001-9284-0143
Padovan, SebastianoSebastiano.Padovan (at) dlr.deUNSPECIFIED
Tosi, Nicolanicola.tosi (at) dlr.deUNSPECIFIED
Montavon, GrégoireInstitut für Softwaretechnik und Theoretische Informatik, Technische Universität BerlinUNSPECIFIED
Nettelmann, NadineNadine.Nettelmann (at) dlr.deUNSPECIFIED
MacKenzie, JasmineTU BerlinUNSPECIFIED
Godolt, MareikeMareike.Godolt (at) dlr.deUNSPECIFIED
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:exoplanets; machine learning; interior structure
Event Title:EGU General Assembly
Event Location:Vienna, Austria
Event Type:international Conference
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, Nicola
Deposited On:30 Nov 2020 13:51
Last Modified:30 Nov 2020 13:51

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