output
20052026
most citedTowards high-throughput superconductor discovery via machine learning

223 citations

285 papers

nucl-th2026

Microscopic Statistical Calculation of Nuclear Level Density Based on Relativistic Density Functional Theory

Zi-Cheng Wang, Peng-Xiang Du, Jian Li +2

A microscopic statistical model based on the relativistic density functional theory (RDFT) is developed to calculate the nuclear level density (NLD). The approach employs self-cons…

nucl-th2026

Microscopic Study of Charge Properties in Halo Nuclei

Yun Dong Wang, Hui Hui Xie, Tian Shuai Shang +3

Employing the relativistic continuum Hartree-Bogoliubov (RCHB) theory with intrinsic electromagnetic structure corrections, this work primarily investigates the charge properties o…

hep-th2026

Lubkin-Page typicality bounds for Type~II von~Neumann factors

Zhi-Wei Wang, Samuel L. Braunstein

Typicality arguments for emergent spacetime rely on the Lubkin-Page bounds, which show that generic quantum states have vanishing correlations between subsystems. These bounds assu…

cond-mat.mes-hall2026

Room-temperature tuning and probing of Fermi polarons in atomically thin semiconductors on a plasmonic metasurface

Tingting Wu, Francesca Maria Marchetti, Antonio Tiene +9

The Fermi polaron, arising from interactions between a mobile impurity and a degenerate Fermi sea, is a many-body quasiparticle that provides a sensitive probe of strongly correlat…

astro-ph.CO2026

Comprehensive Analysis of Optical brightness and Color Variability of Blazars in the ZTF Survey DR22

Qi Yuan, Xin Wang, Meng Zhang +6

This study conducts a comprehensive analysis of brightness and color variability in blazars, utilizing over six years of quasi-simultaneous g-band and r-band data from 1149 sources…

cs.AI2026

Perceive Before Reasoning: A Pre-Reasoning Perception Framework for Efficient and Reliable Proactive Mobile Agents

Zhijie Ding, Weinan Hong, Zicheng Zhu +6

Multimodal large language models (MLLMs) have substantially advanced mobile agents, yet proactive mobile assistance remains challenging because agents must decide when to intervene…