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Deep learning for surrogate modelling of 2D mantle convection

Agarwal, Siddhant and Tosi, Nicola and Kessel, P and Breuer, Doris and Montavon, Grégoire (2021) Deep learning for surrogate modelling of 2D mantle convection. European Planetary Science Congress 2021, 13–24 Sep 2021, Online. doi: 10.5194/epsc2021-218.

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Official URL: https://meetingorganizer.copernicus.org/EPSC2021/EPSC2021-218.html

Item URL in elib:https://elib.dlr.de/146293/
Document Type:Conference or Workshop Item (Speech)
Title:Deep learning for surrogate modelling of 2D mantle convection
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, PTechnical University BerlinUNSPECIFIED
Breuer, DorisDoris.Breuer (at) dlr.dehttps://orcid.org/0000-0001-9019-5304
Montavon, GrégoireInstitut für Softwaretechnik und Theoretische Informatik, Technische Universität BerlinUNSPECIFIED
Date:September 2021
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
DOI :10.5194/epsc2021-218
Page Range:EPSC2021-218
Series Name:EPSC Abstracts
Keywords:Mantle Convection, Machine Learning, Fluid Dynamics, Surrogate Modelling, Neural Networks
Event Title:European Planetary Science Congress 2021
Event Location:Online
Event Type:international Conference
Event Dates:13–24 Sep 2021
Organizer:European Planetary Science Congress
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: Agarwal, Siddhant
Deposited On:26 Nov 2021 12:57
Last Modified:26 Nov 2021 12:57

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