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Qing-Hua Qin

Researcher at Xi'an Jiaotong University

Publications -  551
Citations -  11816

Qing-Hua Qin is an academic researcher from Xi'an Jiaotong University. The author has contributed to research in topics: Finite element method & Fundamental solution. The author has an hindex of 52, co-authored 505 publications receiving 9939 citations. Previous affiliations of Qing-Hua Qin include Beijing Institute of Technology & Tsinghua University.

Papers
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Journal ArticleDOI

Extraordinary Photoluminescence and Strong Temperature/Angle-Dependent Raman Responses in Few-Layer Phosphorene

TL;DR: The anisotropic Raman response in few-layer phosphorene has enabled us to use an optical method to quickly determine the crystalline orientation without tunneling electron microscopy or scanning tunneling microscopy.
Book

The Trefftz Finite and Boundary Element Method

TL;DR: In this paper, the concept of T-complete solution is used to compare T-elements with conventional finite elements with boundary elements, and a variational formulation for thin plate bending is proposed.
Book

Fracture mechanics of piezoelectric materials

TL;DR: In this article, the authors present an analysis of crack problems in homogeneous piezoelectrics or on the interfaces between two dissimilar bimaterial materials based on the continuity of normal electric displacement and electric potential across the crack faces.
Journal ArticleDOI

Atomically thin optical lenses and gratings

TL;DR: The unique and large tunability of the refractive index by electric field in layered MoS2 will enable various applications in electrically tunable atomically thin optical components, such as micro-lenses with electrically Tunable focal lengths, electrical tunable phase shifters with ultra-high accuracy, which cannot be realized by conventional bulk solids.
Journal ArticleDOI

Topology optimization for concurrent design of structures with multi-patch microstructures by level sets

TL;DR: The novel concurrent design for cellular structures consisting of multiple patches of material microstructures using a level set-based topological shape optimization method is focused on.