C
Chao Zhang
Researcher at Beihang University
Publications - 4347
Citations - 118320
Chao Zhang is an academic researcher from Beihang University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 127, co-authored 3119 publications receiving 84711 citations. Previous affiliations of Chao Zhang include West Virginia University & University of Oklahoma.
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Molecular-engineered hybrid carbon nanofillers for thermoplastic polyurethane nanocomposites with high mechanical strength and toughness
TL;DR: In this article, a hybrid carbon nanofiller consisting of one-dimensional carbon nanotube (CNT) and two-dimensional graphene (G) was molecularly engineered, and the as-prepared G-CNT hybrid was then solution-casted with thermoplastic polyurethane (TPU) for the fabrication of TPU nanocomposite films.
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Coxsackievirus A16-like particles produced in Pichia pastoris elicit high-titer neutralizing antibodies and confer protection against lethal viral challenge in mice.
TL;DR: It is found that CA16-VLPs could be produced at relatively high levels in P. pastoris yeast transformed with a construct co-expressing the P1 and 3CD proteins of CA16 and their immunogenicity and protective efficacy in mice are found.
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Nonlinear optical response of graphene in terahertz and near-infrared frequency regime
TL;DR: In this article, the authors discussed the nonlinear optical response of bilayer graphene and its sister structure in terahertz (THz) and near-infrared frequency regime.
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Flexible and translucent PZT films enhanced by the compositionally graded heterostructure for human body monitoring
TL;DR: In this paper, the effect of the compositionally graded PZT heterostructure on the piezoelectric response and its performance on the device level has been investigated, and based on that, fabricate flexible PZTElectric nanogenerators (PENGs).
Posted Content
Detailed, accurate, human shape estimation from clothed 3D scan sequences
TL;DR: In this paper, the authors estimate body shape under clothing from a sequence of 3D scans and recover a personalized shape of the person by deviating from a parametric model to fit the 3D scan.