11 papers
Learning Boson Star Solution Families with Physics-Informed Neural Networks
Ao Liu, Chen-Hao Hao, Cuihong Wen +2
Computing boson star families traditionally requires repeated solution of nonlinear eigenvalue boundary-value problems and careful numerical continuation through turning points. We…
HPSD: Hybrid-Policy Self-Distillation for Text-Image-to-Video Diffusion Models
Jiazi Bu, Pengyang Ling, Yujie Zhou +10
Text-Image-to-Video (TI2V) models are an emerging unified architecture, where a single model simultaneously supports text-to-video (T2V) and image-to-video (I2V) generation. Given…
Primordial black hole formation in bulk-viscous cosmology
Zi-Yan Yuwen, Cristian Joana, Shao-Jiang Wang +1
We investigate primordial black hole (PBH) formation in a cosmological background with bulk viscosity. Using numerical simulations, we determine the collapse threshold and the resu…
Cosmological intercept tension
Jia-Qi Wang, Shao-Jiang Wang
The long-standing tension in the Hubble constant has motivated extensive explorations of both new physics and observational systematics, for example, the late-time systematic…
Nonperturbative stochastic inflation in perturbative dynamical background
Xiao-Quan Ye, Shao-Jiang Wang
Inflationary models that contain a transient ultra-slow-roll phase can exhibit strong non-perturbative dynamics, making the usual perturbative treatment of cosmological fluctuation…
Relic gravitational waves from primordial gravitational collapses
Xiang-Xi Zeng, Zhuan Ning, Zi-Yan Yuwen +3
A large primordial density perturbation of the Hubble scale will gravitationally collapse, generating an outgoing sound shell, whether or not a primordial black hole (PBH) is forme…