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Neural ODEs for holographic transport models without translation symmetry

Abstract We investigate the data-driven holographic transport models without translation symmetry, focusing on the real part of frequency-dependent shear viscosity, $$\eta _{\textrm{re}}(\omega )$$ η re ( ω ) . We develop a radial flow equation of the shear response and establish its relation to $$\...

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I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Zhuo-Fan Gu, Yu-Kun Yan, Shao-Feng Wu
Hōputu: Artigo
Reo:Inglês
I whakaputaina: SpringerOpen 2025-01-01
Rangatū:European Physical Journal C: Particles and Fields
Urunga tuihono:https://doi.org/10.1140/epjc/s10052-025-13759-0
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