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Learning high-dimensional surrogates from mantle convection simulations

Agarwal, Siddhant and Tosi, Nicola and Kessel, Pan and Breuer, Doris and Padovan, Sebastiano and Montavon, Grégoire (2020) Learning high-dimensional surrogates from mantle convection simulations. APS Division of Fluid Dynamics 2020, Virtual conference.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/138594/
Document Type:Conference or Workshop Item (Lecture)
Title:Learning high-dimensional surrogates from mantle convection simulations
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Agarwal, SiddhantSiddhant.Agarwal (at) dlr.dehttps://orcid.org/0000-0002-0840-2114
Tosi, Nicolanicola.tosi (at) dlr.dehttps://orcid.org/0000-0002-4912-2848
Kessel, Panpan.kessel (at) campus.tu-berlin.deUNSPECIFIED
Breuer, DorisDoris.Breuer (at) dlr.dehttps://orcid.org/0000-0001-9019-5304
Padovan, SebastianoSebastiano.Padovan (at) dlr.dehttps://orcid.org/0000-0002-8652-3704
Montavon, GrégoireInstitut für Softwaretechnik und Theoretische Informatik, Technische Universität BerlinUNSPECIFIED
Date:2020
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Mars; thermal evolution; machine learning
Event Title:APS Division of Fluid Dynamics 2020
Event Location:Virtual conference
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
Deposited By: Tosi, Nicola
Deposited On:30 Nov 2020 13:54
Last Modified:30 Nov 2020 13:54

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