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