scispace - formally typeset
H

Huiqi Ye

Researcher at Chinese Academy of Sciences

Publications -  6
Citations -  2319

Huiqi Ye is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Dislocation & Quantum well. The author has an hindex of 4, co-authored 5 publications receiving 1972 citations.

Papers
More filters
Journal ArticleDOI

Valley-selective circular dichroism of monolayer molybdenum disulphide

TL;DR: It is shown, using first principles calculations, that monolayer molybdenum disulphide is an ideal material for valleytronics, for which valley polarization is achievable via valley-selective circular dichroism arising from its unique symmetry.
Journal ArticleDOI

Transition of dislocation nucleation induced by local stress concentration in nanotwinned copper

TL;DR: It is demonstrated that by quantitatively analysing local stress concentrations, a direct relationship can be resolved between the microscopic dislocation activities and macroscopic mechanical properties of nanotwinned metals.
Journal ArticleDOI

Motion of 1/3⟨111⟩ dislocations on Σ3 {112} twin boundaries in nanotwinned copper

TL;DR: In this paper, the atomic structure of Σ3 {112} ITBs in nanotwinned Cu was investigated by using aberration-corrected high resolution transmission electron microscopy (HRTEM) and in situ HRTEM observations.
Journal ArticleDOI

Room temperature spin diffusion in (110) GaAs/AlGaAs quantum wells

TL;DR: Transient spin grating experiments are used to investigate the electron spin diffusion in intrinsic GaAs/AlGaAs multiple quantum well at room temperature and increasing the carrier density yields both a decrease of the spin relaxation time and the spin diffusion coefficient Ds.
Journal ArticleDOI

Anisotropic in-plane spin splitting in an asymmetric (001) GaAs/AlGaAs quantum well

TL;DR: Both the anisotropy of spin and the in-plane effective g-factor decrease with increasing temperature, and the combined effect of Dresselhaus spin-orbit coupling plus asymmetric potential gradients is exploited.