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Publication details

Document type
Conference papers

Document subtype
Full paper

Title
Predicting Gas in 3D Dark Matter N-body Simulations with Convolutional Neural Networks

Participants in the publication
Miguel Conceição (Author)
Alberto Krone-Martins (Author)
Antonio da Silva (Author)
Dep. Física

Date of Publication
2024-09-16

Event
2024 IEEE 20th International Conference on e-Science (e-Science)

Publication Identifiers
ISSN - 0018-9219
ISBN - 9798350365610

Address
Osaka, Japan

Publisher
IEEE

Number of pages
9
Starting page
1
Last page
9

Document Identifiers
DOI - https://doi.org/10.1109/e-science62913.2024.10678690
URL - https://doi.org/10.1109/e-science62913.2024.10678690

Rankings
SCIMAGO Q1 (2023) - 6.085 - Computer Science (miscellaneous)
SCIMAGO Q1 (2023) - 6.085 - Computer Science (miscellaneous)


Export

APA
Miguel Conceição, Alberto Krone-Martins, Antonio da Silva, (2024). Predicting Gas in 3D Dark Matter N-body Simulations with Convolutional Neural Networks. 2024 IEEE 20th International Conference on e-Science (e-Science), 1-9

IEEE
Miguel Conceição, Alberto Krone-Martins, Antonio da Silva, "Predicting Gas in 3D Dark Matter N-body Simulations with Convolutional Neural Networks" in 2024 IEEE 20th International Conference on e-Science (e-Science), Osaka, Japan, 2024, pp. 1-9, doi: 10.1109/e-science62913.2024.10678690

BIBTEX
@InProceedings{65157, author = {Miguel Conceição and Alberto Krone-Martins and Antonio da Silva}, title = {Predicting Gas in 3D Dark Matter N-body Simulations with Convolutional Neural Networks}, booktitle = {2024 IEEE 20th International Conference on e-Science (e-Science)}, year = 2024, pages = {1-9}, address = {Osaka, Japan}, publisher = {IEEE} }