A physics-informed neural network reconstructs w_DE(z) from DESI BAO, cosmic chronometers and supernova data by enforcing cosmological constraints in the loss function, yielding a phantom-divide crossing at z=0.27-0.42 and a possible unified dark-energy scenario.
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The weak dissipative regime of warm inflation in a unified two-field model produces a gravitational wave spectrum with better prospects for detection by next-generation observatories than the strong regime.
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Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction
A physics-informed neural network reconstructs w_DE(z) from DESI BAO, cosmic chronometers and supernova data by enforcing cosmological constraints in the loss function, yielding a phantom-divide crossing at z=0.27-0.42 and a possible unified dark-energy scenario.
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Gravitational waves from warm inflation in the weak dissipative regime
The weak dissipative regime of warm inflation in a unified two-field model produces a gravitational wave spectrum with better prospects for detection by next-generation observatories than the strong regime.
- Breaking Free from the Swampland of Impossible Universes through the DESI Portal
- Continuous Bogoliubov formalism for gravitational-wave generation in a unified dark sector warm inflation