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SOSA Raul Ian

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

Main Referenced Co-authors
BORDAS, Stéphane  (2)
DESHPANDE, Saurabh  (2)
LENGIEWICZ, Jakub  (2)
Main Referenced Keywords
CNN U-NET (1); Deep Learning (1); Deep learning (1); Finite Element Method (1); Graph U-Net (1);
Main Referenced Unit & Research Centers
ULHPC - University of Luxembourg: High Performance Computing (1)
Main Referenced Disciplines
Engineering, computing & technology: Multidisciplinary, general & others (2)

Publications (total 2)

The most downloaded
44 downloads
Deshpande, S., Sosa, R. I., Bordas, S., & Lengiewicz, J. (2023). Convolution, aggregation and attention based deep neural networks for accelerating simulations in mechanics. Frontiers in Materials. doi:10.3389/fmats.2023.1128954 https://hdl.handle.net/10993/52915

The most cited

5 citations (WOS)

Deshpande, S., Sosa, R. I., Bordas, S., & Lengiewicz, J. (2023). Convolution, aggregation and attention based deep neural networks for accelerating simulations in mechanics. Frontiers in Materials. doi:10.3389/fmats.2023.1128954 https://hdl.handle.net/10993/52915

Deshpande, S., Sosa, R. I., Bordas, S., & Lengiewicz, J. (August 2023). Novel deep learning approaches for learning scientific simulations [Paper presentation]. The 14th International Conference of Computational Methods (ICCM2023), Ho Chi Minh, Vietnam.
Peer reviewed

Deshpande, S., Sosa, R. I., Bordas, S., & Lengiewicz, J. (2023). Convolution, aggregation and attention based deep neural networks for accelerating simulations in mechanics. Frontiers in Materials. doi:10.3389/fmats.2023.1128954
Peer Reviewed verified by ORBi

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