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astro-ph.CO2025★ 1 cited
Towards a Machine Learning Solution for Hubble Tension: Physics-Informed Neural Network (PINN) Analysis of Tsallis Holographic Dark Energy in Presence of Neutrinos
Muhammad Yarahmadi, Amin Salehi
We present a Physics-Informed Neural Network (PINN) framework for reconstructing the redshift-dependent Hubble parameter \(H(z)\) within the Tsallis Holographic Dark Energy (THDE)…
hep-ph2025
Study of gravitational waves from phase transitions in three-component dark matter
Mohammad Hossein Rahimi Abkenar, Ahmad Mohamadnejad, Reza Sepahvand
This paper studies gravitational waves in a dark matter model composed of three types of particles with distinct spins, along with a scalar field that mediates interactions bet…