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Nguyen Hong Quang
Researcher at Vietnam Academy of Science and Technology
Publications - 29
Citations - 341
Nguyen Hong Quang is an academic researcher from Vietnam Academy of Science and Technology. The author has contributed to research in topics: Exciton & Quantum dot. The author has an hindex of 6, co-authored 22 publications receiving 296 citations. Previous affiliations of Nguyen Hong Quang include International Centre for Theoretical Physics & University of Electro-Communications.
Papers
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Journal ArticleDOI
Electronic structure of semiconductor nanowires
Yann-Michel Niquet,Aurélien Lherbier,Nguyen Hong Quang,Marivi Fernandez-Serra,Xavier Blase,Christophe Delerue +5 more
TL;DR: In this article, the authors compute the subband structure of several group IV and III-V 001-, 110-, and 111-oriented nanowires using sp 3 and sp 3 d 5 s * tight-binding models.
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Spontaneous emission from an atom inside a dielectric sphere
TL;DR: In this paper, a quantum treatment for the spontaneous emission from a two-level atom inside a dielectric sphere with a continuum of electric field modes is presented, and the analytical expressions for spontaneous emission rates obtained by Chew [J. Chem. Phys. 87 (1987) 1355] in a classical treatment for an oscillating dipole are shown in their theory.
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Hydrological/Hydraulic Modeling-Based Thresholding of Multi SAR Remote Sensing Data for Flood Monitoring in Regions of the Vietnamese Lower Mekong River Basin
Nguyen Hong Quang,Vu Anh Tuan,Le Thi Thu Hang,Nguyen Manh Hung,Dinh Thi Dieu,Ngo Duc Anh,Christopher Hackney +6 more
TL;DR: In this article, the Hammock Swing Thresholding (HST) approach was applied to four SAR remote sensing datasets, namely, Sentinel-1, ALOS-2, TerraSAR-X, and RadarSAT-2 for flood inundation mapping for a case study focusing on the Tam Nong district in the Vietnam Mekong delta.
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Tight-binding versus effective mass approximation calculation of electronic structures of semiconductor nanocrystals and nanowires
TL;DR: In this paper, the authors studied the electronic structure of semiconductor nanocrystals and nanowires using the tight-binding sp3d5s∗ model with all semiconductor atoms dangling bonds passivated by hydrogen atoms.
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Multi-decadal changes in mangrove extent, age and species in the Red River Estuaries of Viet Nam
Nguyen Hong Quang,Claire H. Quinn,Lindsay C. Stringer,Rachael Carrie,Christopher Hackney,Le Thi Van Hue,Dao Van Tan,Pham Thi Thanh Nga +7 more
TL;DR: This research investigated the performance of four different machine learning supervised image classifiers using SPOT-7 and Sentinel-1 images to classify mangrove age and species in 2019 in a Red River estuary, typical of others found in northern Viet Nam, and showed that SVM was the most accurate, followed by DT, ANN, and RF in this case study.