Physics-Informed Deep Learning for Three Dimensional Black Holes

In this paper, we have designed an artificial neural network architecture to produce metric field of planar BTZ and quintessence black holes applying a data-driven approach andleveraging holography principle (according to AdS/DL (Anti de Sitter/ Deep Learning) correspondence given by [1]). Data has...

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Bibliographic Details
Main Authors: Emad Yaraie, Hossein Ghaffarnejad, Mohammad Farsam
Format: Article
Language:English
Published: Damghan university 2023-12-01
Series:Iranian Journal of Astronomy and Astrophysics
Subjects:
Online Access:https://ijaa.du.ac.ir/article_387_f3bef28fe0a5faab9271b484e81e4235.pdf
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