Phase diagram from nonlinear interaction between superconducting order and density: toward data-based holographic superconductor
Abstract We address an inverse problem in modeling holographic superconductors. We focus our research on the critical temperature behavior depicted by experiments. We use a physics-informed neural network method to find a mass function M (F 2), which is necessary to understand phase transition behav...
| Published in: | Journal of High Energy Physics |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-02-01
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| Subjects: | |
| Online Access: | https://doi.org/10.1007/JHEP02(2025)077 |