Novel deep learning approaches for learning scientific simulations

DESHPANDE, Saurabh; SOSA, Raul Ian; BORDAS, Stéphane; LENGIEWICZ, Jakub

Download

Unpublished conference/Abstract (Scientific congresses, symposiums and conference proceedings)

Novel deep learning approaches for learning scientific simulations

DESHPANDE, Saurabh; SOSA, Raul Ian; BORDAS, Stéphane et al.

2023 • The 14th International Conference of Computational Methods (ICCM2023)

Peer reviewed

Permalink
https://hdl.handle.net/10993/55478

Files (1)Send to Details Statistics Bibliography Similar publications

Files

Full Text

Abstract_ICCM.pdf

Author postprint (48.1 kB)

Download

All documents in ORBilu are protected by a user license.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Keywords :

Non-linear FEM; Deep learning; Surrogate modeling

Research center :

ULHPC - University of Luxembourg: High Performance Computing

Disciplines :

Engineering, computing & technology: Multidisciplinary, general & others

Author, co-author :

DESHPANDE, Saurabh ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)

SOSA, Raul Ian ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Physics and Materials Science (DPHYMS)

BORDAS, Stéphane ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)

LENGIEWICZ, Jakub ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)

External co-authors :

yes

Language :

English

Title :

Novel deep learning approaches for learning scientific simulations

Publication date :

August 2023

Event name :

The 14th International Conference of Computational Methods (ICCM2023)

Event place :

Ho Chi Minh, Vietnam

Event date :

06-08-2023 to 10-08-2023

Audience :

International

Peer reviewed :

Peer reviewed

Focus Area :

Computational Sciences

European Projects :

H2020 - 764644 - RAINBOW - Rapid Biomechanics Simulation for Personalized Clinical Design

Name of the research project :

R-AGR-3325 - H2020-MSCA-ITN-2017-764644-RAINBOW (01/04/2018 - 31/03/2023) - BORDAS Stéphane

Funders :

CE - Commission Européenne
Union Européenne

Available on ORBilu :

since 02 July 2023

Statistics

Number of views

276 (12 by Unilu)

Number of downloads

117 (4 by Unilu)

More statistics