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pro vyhledávání: '"Horuz, Coşku Can"'
Autor:
Horuz, Coşku Can, Karlbauer, Matthias, Praditia, Timothy, Oladyshkin, Sergey, Nowak, Wolfgang, Otte, Sebastian
Spatiotemporal partial differential equations (PDEs) find extensive application across various scientific and engineering fields. While numerous models have emerged from both physics and machine learning (ML) communities, there is a growing trend tow
Externí odkaz:
http://arxiv.org/abs/2408.10649
Autor:
Horuz, Coşku Can1 (AUTHOR), Karlbauer, Matthias1 (AUTHOR), Praditia, Timothy2 (AUTHOR), Butz, Martin V.1 (AUTHOR), Oladyshkin, Sergey2 (AUTHOR), Nowak, Wolfgang2 (AUTHOR), Otte, Sebastian1 (AUTHOR) sebastian.otte@uni-tuebingen.de
Publikováno v:
Applied Artificial Intelligence. 2023, Vol. 37 Issue 1, p1-20. 20p.
