Publications

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

AuthID
P-017-96C

Author(s)

Conceicao, M

Krone-Martins, A

da Silva, A

Document Type

Proceedings Paper

Year published

2024

Published

in 2024 IEEE 20TH INTERNATIONAL CONFERENCE ON E-SCIENCE, E-SCIENCE 2024 in Proceeding IEEE International Conference on e-Science (e-Science), ISSN: 2325-372X

Pages: 1-9 (9)

Conference

20Th Ieee International Conference on E-Science (E-Science), Date: SEP 16-20, 2024, Location: Osaka, JAPAN

Indexing

Wos^®

Scopus^®

Crossref^®

Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.1109/e-science62913.2024.10678690

Scopus: 2-s2.0-85205957873

Wos: WOS:001332817000031

Source Identifiers

ISSN: 2325-372X

Export Publication Metadata

Marked List

Add to Marked List

Info

At this moment we don't have any links to full text documens.

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

Useful Links

Get Help

Federated Authentication (Click on the image)

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

Useful Links

Get Help