Citing Articles For: Machine learning holographic black hole from lattice QCD equation of state

Neural ordinary differential equations for mapping the magnetic QCD phase diagram via holography

Rong-Gen Cai, Song He, Li Li, and Hong-An Zeng

Sci. China Phys. Mech. Astron. 69 240414 (2026)

Universal Supercritical Thermodynamics for Black Holes

Shoucheng Wang, Xinyang Li, Yuliang Jin, and Li Li

Research 9 1406 (2026)

Extraction of the color dipole amplitude with physics-informed neural networks

Wei Kou and Xurong Chen

Physics Letters B 877 140507 (2026)

Extracting transport properties from the heavy-quark potential with neural networks in a holographic model

Wen-Chao Dai, Ou-Yang Luo, Bing Chen, Xun Chen, Xiao-Yan Zhu, and Xiao-Hua Li

Physics Letters B 877 140511 (2026)

Lattice-based equation of state with a critical point from constant entropy contours and its comparison to effective QCD approaches

Hitansh Shah, Mauricio Hippert, Jorge Noronha, Claudia Ratti, and Volodymyr Vovchenko

Phys. Rev. D 114 034501 (2026)

Uncertainty quantification of holographic transport and energy loss for the hot and baryon-dense QGP

Musa R. Khan, Ayrton Nascimento, Yumu Yang, Joaquin Grefa, Mauricio Hippert, Jorge Noronha, Claudia Ratti, and Romulo Rougemont

Phys. Rev. D 114 074006 (2026)

Algebraic structure underlying pole-skipping points

Zhenkang Lu, Cheng Ran, and Shao-Feng Wu

Phys. Rev. D 113 046008 (2026)

Temperature derivative divergence of the electric conductivity and thermal photon emission rate at the critical end point from holography

Yi-Ping Si, Danning Li, and Mei Huang

Phys. Rev. D 113 056024 (2026)

Scaling functions in the soft-wall AdS/QCD models

Zhongzheng Zhang, Danning Li, Lang Yu, Zhibin Li, and Xinyang Wang

Phys. Rev. D 113 086010 (2026)

Data-driven refinement of an analytical holographic model for the QCD phase transition

Xun Chen, Floriana Giannuzzi, and Stefano Nicotri

Phys. Rev. D 113 106007 (2026)

Toward a unified Einstein-Maxwell-dilaton framework of QCD

Hong-An Zeng, Lingxiao Wang, and Mei Huang

Phys. Rev. D 113 126001 (2026)

Locating the QCD critical point with input from neutron-star observations

Christian Ecker, Niko Jokela, and Matti Järvinen

Phys. Rev. D 113 L041302 (2026)

The interaction of moving QQ¯ and QQq in the thermal plasma

Xuan Liu, Sheng Lin, and Xun Chen

Nuclear Physics A 1068 123329 (2026)

Transport properties of QGP within a Bayesian holographic QCD model

Bing Chen, Liqiang Zhu, Xun Chen, De-Fu Hou, and Xu-Rong Chen

NUCL SCI TECH 37 153 (2026)

Thermodynamics of heavy quarkonium in a Bayesian holographic QCD model

Li-Qiang Zhu, Ou-Yang Luo, Xun Chen, Kai Zhou, Han-Zhong Zhang, and De-Fu Hou

NUCL SCI TECH 37 68 (2026)

Physics-informed neural network solves minimal surfaces in curved spacetime

Koji Hashimoto, Koichi Kyo, Masaki Murata, Gakuto Ogiwara, and Norihiro Tanahashi

Mach. Learn.: Sci. Technol. 7 015013 (2026)

Gravity dual of networks

Yu Guo and Rong-Xin Miao

J. High Energ. Phys. 2026 112 (2026)

Holographic charged transport with higher derivatives

Alex Buchel, Sera Cremonini, Mohammad Moezzi, and George Tringas

J. High Energ. Phys. 2026 165 (2026)

Probing bulk geometry via pole skipping: from static to rotating spacetimes

Cheng Ran, Zhenkang Lu, and Shao-Feng Wu

J. High Energ. Phys. 2026 178 (2026)

Phase structure of 2+1-flavor QCD from an Einstein-dilaton-flavor holographic model

Jin-Yang Shen, Xin-Yi Liu, Jin-Rui Wu, Yue-Liang Wu, and Zhen Fang

J. High Energ. Phys. 2026 30 (2026)

Learning geometries beyond asymptotic AdS

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

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

Holographic complex potential of a quarkonium from deep learning

Mahdi Mansouri, Kazem Bitaghsir Fadafan, and Xun Chen

Eur. Phys. J. C 86 321 (2026)

Dissociation of heavy quarkonium from a data-driven holographic QCD model*

Zhou-Run 洲润 Zhu 朱, Manman 嫚嫚 Sun 孙, Wen-Juan 文娟 Mao 毛, Xiao-Li 晓莉 Li 李, Man-Li 曼丽 Tian 田, and Shan-Shan 闪闪 Lu 卢

Chinese Phys. C 50 043105 (2026)

Bayesian inference of the magnetic field and chemical potential on holographic jet quenching in heavy-ion collisions*

Liqiang 力强 Zhu 朱, Zhan 湛 Gao 高, Weiyao 伟尧 Ke 柯, and Hanzhong 汉中 Zhang 张

Chinese Phys. C 50 044108 (2026)

Schwinger effect in a twice anisotropic holographic model*

Wen-Bin 文彬 Chang 常 and Defu 德富 Hou 侯

Chinese Phys. C 50 053103 (2026)

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Articles Citing

Machine learning holographic black hole from lattice QCD equation of state

Neural ordinary differential equations for mapping the magnetic QCD phase diagram via holography

Universal Supercritical Thermodynamics for Black Holes

Extraction of the color dipole amplitude with physics-informed neural networks

Extracting transport properties from the heavy-quark potential with neural networks in a holographic model

Lattice-based equation of state with a critical point from constant entropy contours and its comparison to effective QCD approaches

Uncertainty quantification of holographic transport and energy loss for the hot and baryon-dense QGP

Algebraic structure underlying pole-skipping points

Temperature derivative divergence of the electric conductivity and thermal photon emission rate at the critical end point from holography

Scaling functions in the soft-wall AdS/QCD models

Data-driven refinement of an analytical holographic model for the QCD phase transition

Toward a unified Einstein-Maxwell-dilaton framework of QCD

Locating the QCD critical point with input from neutron-star observations

The interaction of moving QQ¯ and QQq in the thermal plasma

Transport properties of QGP within a Bayesian holographic QCD model

Thermodynamics of heavy quarkonium in a Bayesian holographic QCD model

Physics-informed neural network solves minimal surfaces in curved spacetime

Gravity dual of networks

Holographic charged transport with higher derivatives

Probing bulk geometry via pole skipping: from static to rotating spacetimes

Phase structure of 2+1-flavor QCD from an Einstein-dilaton-flavor holographic model

Learning geometries beyond asymptotic AdS

Holographic complex potential of a quarkonium from deep learning

Dissociation of heavy quarkonium from a data-driven holographic QCD model*

Bayesian inference of the magnetic field and chemical potential on holographic jet quenching in heavy-ion collisions*

Schwinger effect in a twice anisotropic holographic model*

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