activity
20192023
most citedA unique van Hove singularity in kagome superconductor CsVTaSb with enhanced superconductivity

82 citations · 173 across the 6 of their papers we have counts for

collaborators

6 papers

cond-mat.str-el2023★ 21 cited

Anomalous excitonic phase diagram in band-gap-tuned Ta2Ni(Se,S)5

Cheng Chen, Weichen Tang, Xiang Chen +17

During a band-gap-tuned semimetal-to-semiconductor transition, Coulomb attraction between electrons and holes can cause spontaneously formed excitons near the zero-band-gap point,…

cond-mat.supr-con2023★ 82 cited

A unique van Hove singularity in kagome superconductor CsVTaSb with enhanced superconductivity

Yang Luo, Yulei Han, Jinjin Liu +23

Van Hove singularity (VHS) has been considered as a driving source for unconventional superconductivity. A VHS in two-dimensional (2D) materials consists of a saddle point connecti…

cond-mat.supr-con2022★ 20 cited

Prevailing charge order in overdoped cuprates beyond the superconducting dome

Qizhi Li, Hsiao-Yu Huang, Tianshuang Ren +14

The extremely overdoped cuprates are generally considered to be Fermi liquid metals without exotic orders, whereas the underdoped cuprates harbor intertwined states. Contrary to th…

cond-mat.str-el2022★ 32 cited

Role of electron-phonon coupling in excitonic insulator candidate Ta2NiSe5

Cheng Chen, Xiang Chen, Weichen Tang +15

Electron-hole bound pairs, or excitons, are common excitations in semiconductors. They can spontaneously form and ``condense'' into a new insulating ground state -- the so-called e…

cond-mat.str-el2021★ 13 cited

Higher-Order Spin-Hole Correlations around a Localized Charge Impurity

Yao Wang, Annabelle Bohrdt, Joannis Koepsell +2

Analysis of higher-order correlation functions has become a powerful tool for investigating interacting many-body systems in quantum simulators, such as quantum gas microscopes. Ex…

cs.SE2019★ 5 cited

Sionnx: Automatic Unit Test Generator for ONNX Conformance

Xinli Cai, Peng Zhou, Shuhan Ding +2

Open Neural Network Exchange (ONNX) is an open format to represent AI models and is supported by many machine learning frameworks. While ONNX defines unified and portable computati…