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YuanTong Gu

Researcher at Queensland University of Technology

Publications -  597
Citations -  15277

YuanTong Gu is an academic researcher from Queensland University of Technology. The author has contributed to research in topics: Finite element method & Meshfree methods. The author has an hindex of 52, co-authored 550 publications receiving 12583 citations. Previous affiliations of YuanTong Gu include Nanjing Medical University & National University of Singapore.

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Journal Article

Substantial bandgap tuning and strain controlled semiconductor to gapless/band-inverted semi-metal transition in rutile lead/stannic dioxide

TL;DR: In this paper, the effect of strain/pressure on the electronic structure of rutile lead/stannic dioxide (PbO 2 /SnO 2 ) was systematically studied and a practical approach to realize strain in SnO 2 was then proposed by substituting tin (Sn) with lead(Pb), which also can trigger the transition from a large band-gap to a moderate-gap semiconductor with enhanced electron mobility.
Journal ArticleDOI

Graphene and Carbon Nanotube Hybrid Structure: A Review

TL;DR: In this article, the authors summarized the recent progress of the highly ordered GNHS synthesis/assembly, and discussed the mechanical properties of GNHS under various conditions as obtained from molecular dynamics simulations.
Book ChapterDOI

Study of Acoustic Emission Response to Vortex Shedding of a Bluff Body

TL;DR: In this paper, the authors investigated the relationship between fluid dynamic force (lift force) at a circular bluff body inside a pipe, and the acoustic emissions response to this force, and they found that the generated lift force was weak and the pipe wall response in terms of deformation, velocity, and acceleration was small.

A Web service prototype of mineralogical data presentation using MineML (Mineral Markup Language)

Henry Xu, +1 more
TL;DR: A proof-of-conccpt prOLOtype of Web Service is developed here to validate and demonstrate the MineML specification, a XML-based uniform encoding for generic mineral and mining data handling.
Book ChapterDOI

An Improved Coarse-Grained Model to Accurately Predict Red Blood Cell Morphology and Deformability

TL;DR: In this article, a coarse-grained RBC membrane model was proposed to predict the minimum energy configuration of the RBC from the competition between the in-plane stretching energy of the cytoskeleton and the out-of-plane bending energy of lipid-bilayer under the given reference states of the cell surface area and volume.