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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-01-01
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| Series: | European Physical Journal C: Particles and Fields |
| Online Access: | https://doi.org/10.1140/epjc/s10052-025-13759-0 |
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