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.

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:

Authors	Institution or Email of Authors	Author's ORCID iD
Baumeister, Philipp	UNSPECIFIED	https://orcid.org/0000-0001-9284-0143
Padovan, Sebastiano	UNSPECIFIED	UNSPECIFIED
Tosi, Nicola	UNSPECIFIED	https://orcid.org/0000-0002-4912-2848
Montavon, Grégoire	Institut für Softwaretechnik und Theoretische Informatik, Technische Universität Berlin	UNSPECIFIED
Nettelmann, Nadine	UNSPECIFIED	UNSPECIFIED
MacKenzie, Jasmine	TU Berlin	UNSPECIFIED
Godolt, Mareike	UNSPECIFIED	UNSPECIFIED

Date:

2020

Refereed publication:

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

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, Dr. Nicola

Deposited On:

30 Nov 2020 13:51

Last Modified:

29 Mar 2023 00:47

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