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Physical Review D

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J. High Energ. Phys. (2)Phys. Rev. D (2)

Articles Citing

Deep learning-based holography for $T$ -linear resistivity

Byoungjoon Ahn^1,*, Hyun-Sik Jeong ^2,4,5,†, Chang-Woo Ji ^1,‡, Keun-Young Kim ^1,3,§, and Kwan Yun^1,∥

¹Department of Physics and Photon Science, Gwangju Institute of Science and Technology, 123 Cheomdan-gwagiro, Gwangju 61005, Korea
²Instituto de Física Teórica UAM/CSIC, Calle Nicolás Cabrera 13-15, 28049 Madrid, Spain
³Research Center for Photon Science Technology, Gwangju Institute of Science and Technology, 123 Cheomdan-gwagiro, Gwangju 61005, Korea
⁴Asia Pacific Center for Theoretical Physics, Pohang 37673, Korea
⁵Department of Physics, Pohang University of Science and Technology, Pohang 37673, Korea

^*Contact author: bjahn123@gist.ac.kr
^†Contact author: hyunsik.jeong@csic.es
^‡Contact author: physianoji@gm.gist.ac.kr
^§Contact author: fortoe@gist.ac.kr
^∥Contact author: ludibriphy70@gm.gist.ac.kr

Algebraic structure underlying pole-skipping points

Zhenkang Lu, Cheng Ran, and Shao-Feng Wu

Phys. Rev. D 113 046008 (2026)

Toward a unified Einstein-Maxwell-dilaton framework of QCD

Hong-An Zeng, Lingxiao Wang, and Mei Huang

Phys. Rev. D 113 126001 (2026)

Learning the inverse Ryu-Takayanagi formula with transformers

Sejin Kim

J. High Energ. Phys. 2026 128 (2026)

Learning geometries beyond asymptotic AdS

Cheng Ran, Shao-Feng Wu, and Zhuo-Yu Xian

J. High Energ. Phys. 2026 31 (2026)

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ISSN 2470-0029 (online), 2470-0010 (print).

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