5 papers
Machine learning-accelerated search of superconductors in B-C-N based compounds and R3Ni2O7-type nickelates
Xiaoying Li, Wenqian Tu, Run Lv +4
Superconductor research has traditionally depended on experiments and theoretical approaches. However, the rapid advancement of data-driven methods and machine learning (ML) has op…
Orbital-selective two-gap superconductivity in kagome metal CsV3Sb5
Run Lv, Wenqian Tu, Dingfu Shao +2
Recent experiments have revealed anisotropic multi-gap superconductivity in the kagome metal CsV3Sb5. However, the impact of multi-orbital character and electron-phonon coupling (E…
Phonon anharmonicity-driven charge density wave transition and ultrafast dynamics in 1T-TaS2/TaSe2
Wenqian Tu, Run Lv, Dingfu Shao +2
Charge density wave (CDW), a symmetry-breaking collective phenomenon in condensed matter systems, exhibits periodic modulations of electron density coupled with lattice distortions…
Strain tuning of charge density wave and Mott-insulating states in monolayer VTe2
Wenqian Tu, Run Lv, Dingfu Shao +2
Monolayer vanadium ditelluride (VTe2) exhibits a 2\sqrt{3}*2\sqrt{3} charge density wave (CDW) order intertwined with a Mott-insulating state. However, the physical mechanisms driv…
Symmetry-Broken Kondo Screening and Zero-Energy Mode in the Kagome Superconductor CsV3Sb5
Yubing Tu, Zongyuan Zhang, Wenjian Lu +9
The quantum states of matter reorganize themselves in response to defects, giving rise to emergent local excitations that imprint unique characteristics of the host states. While m…