X
Xiang Zhang
Researcher at Baylor College of Medicine
Publications - 3483
Citations - 144843
Xiang Zhang is an academic researcher from Baylor College of Medicine. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 154, co-authored 1733 publications receiving 117576 citations. Previous affiliations of Xiang Zhang include University of California, Berkeley & University of Texas MD Anderson Cancer Center.
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Observation of Rydberg exciton polaritons and their condensate in a perovskite cavity
Wei Bao,Xiaoze Liu,Fei Xue,Fei Xue,Fan Zheng,Renjie Tao,Siqi Wang,Yang Xia,Mervin Zhao,Jeongmin Kim,Sui Yang,Quanwei Li,Ying Wang,Yuan Wang,Lin-Wang Wang,Allan H. MacDonald,Xiang Zhang,Xiang Zhang +17 more
TL;DR: Light is shed on the importance of many-body physics in coherent polariton systems involving higher-order excited states and the way for exploring these coherent interactions for solid-state quantum optical information processing is paved.
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Investigation of H2 storage in a templated carbon derived from zeolite Y and PFA
TL;DR: In this article, an activated carbon sample was synthesized using poly furfuryl alcohol (PFA) as the carbon precursor and ammonium-form zeolite Y as the template.
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Magnetodielectric effect in Z-type hexaferrite
TL;DR: In this article, the magnetodielectric effect of Z-type hexaferrite Sr3Co2Fe24O41 at various temperatures and frequencies was investigated and a fairly large negative effect was observed with a peak near room temperature and a maximum at low frequencies.
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Carrier relaxation and recombination in an InGaN/GaN quantum well probed with time-resolved cathodoluminescence
TL;DR: A detailed time-resolved cathodoluminescence (CL) study showed that carriers generated in the boundary regions will diffuse toward and recombine at InN-rich centers, resulting in a strong lateral excitonic localization prior to radiative recombination as discussed by the authors.
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COE: a general approach for efficient genome-wide two-locus epistasis test in disease association study.
TL;DR: This article proposes a general approach, COE, for efficient large scale gene-gene interaction analysis, which supports a wide range of tests and shows that many commonly used statistics are convex functions.