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Institution

Capital Normal University

EducationBeijing, China
About: Capital Normal University is a education organization based out in Beijing, China. It is known for research contribution in the topics: Terahertz radiation & Quantum entanglement. The organization has 11441 authors who have published 11988 publications receiving 159071 citations. The organization is also known as: Shǒudū Shīfàn Dàxué.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a self-similar solution for the polytropic Euler equations in two-dimensional space is presented. But the method employed here involves the phase space analysis of a second-order equation and the inversion back to (or development onto) the physical space.
Abstract: We construct classical self-similar solutions to the interaction of two arbitrary planar rarefaction waves for the polytropic Euler equations in two space dimensions. The binary interaction represents a major type of interaction in the two-dimensional Riemann problems, and includes in particular the classical problem of the expansion of a wedge of gas into vacuum. Based on the hodograph transformation, the method employed here involves the phase space analysis of a second-order equation and the inversion back to (or development onto) the physical space.

118 citations

Journal ArticleDOI
TL;DR: It is shown that disorder, when sufficiently strong, can transform an ordinary metal with strong spin-orbit coupling into a strong topological "Anderson" insulator, a new topological phase of quantum matter in three dimensions characterized by disordered insulating bulk and topologically protected conducting surface states.
Abstract: We show that disorder, when sufficiently strong, can transform an ordinary metal with strong spin-orbit coupling into a strong topological "Anderson" insulator, a new topological phase of quantum matter in three dimensions characterized by disordered insulating bulk and topologically protected conducting surface states.

118 citations

Journal ArticleDOI
TL;DR: In this article, the inhibition performance of nineteen amino acids was studied by theoretical methods and a nonlinear quantitative structure-activity relationship (QSAR) model was built by the support vector machine.

118 citations

Journal ArticleDOI
TL;DR: Using proxy-based reconstructions and simulations, the authors show that changes in the orientation and position of the westerly jet stream resulted in regionally asynchronous Holocene precipitation maxima.
Abstract: Proxy-based reconstructions and modeling of Holocene spatiotemporal precipitation patterns for China and Mongolia have hitherto yielded contradictory results indicating that the basic mechanisms behind the East Asian Summer Monsoon and its interaction with the westerly jet stream remain poorly understood. We present quantitative reconstructions of Holocene precipitation derived from 101 fossil pollen records and analyse them with the help of a minimal empirical model. We show that the westerly jet-stream axis shifted gradually southward and became less tilted since the middle Holocene. This was tracked by the summer monsoon rain band resulting in an early-Holocene precipitation maximum over most of western China, a mid-Holocene maximum in north-central and northeastern China, and a late-Holocene maximum in southeastern China. Our results suggest that a correct simulation of the orientation and position of the westerly jet stream is crucial to the reliable prediction of precipitation patterns in China and Mongolia.

118 citations

Journal ArticleDOI
TL;DR: This comprehensive review focuses on the development and state of the art of AuNPs-based colorimetric sensor arrays and describes the principle of a sensor array and discusses the design of the cross-reactive sensing elements.
Abstract: A sensor array based on the pattern recognition strategy is good at distinguishing subtle changes of extremely similar mixtures over a wide range of analyte types. Particularly, colorimetric sensor arrays based on gold nanoparticles (AuNPs) have been applied widely in many fields for its simplicity, rapidity, cost-effective production, multi-information output, easy visualization of the color change, and even assay by naked eyes. This comprehensive review focuses on the development and state of the art of AuNPs-based colorimetric sensor arrays. Firstly, this review briefly describes the principle of a sensor array and discusses the design of the cross-reactive sensing elements. Secondly, the popular chemometric and statistical techniques (including hierarchical cluster analysis (HCA), principal component analysis (PCA), and linear discriminant analysis (LDA)) for analyzing the data from a sensor array have also been presented. Thirdly, a variety of applications of AuNPs-based colorimetric sensor arrays published throughout the literature have been reviewed in detail according to different sensing mechanisms (surface plasmon resonance, catalytic activity of mimetic enzyme, and multidimensional information) between AuNPs and target analytes. Finally, the remaining challenges and future trends in the development of colorimetric sensor array based on AuNPs have also been discussed.

118 citations


Authors

Showing all 11499 results

NameH-indexPapersCitations
Lei Zhang135224099365
Chao Zhang127311984711
Tao Zhang123277283866
Bo Wang119290584863
Marinus H. van IJzendoorn11357756627
Jing Li9881143430
Lei Liu98204151163
Peng Zhang88157833705
Di Wu8796548697
Xi-Cheng Zhang7950225442
Wei Li78159231728
Gonzalo Giribet7539821000
Xiaoli Li6987720690
Mark T. Swihart6833016819
Kelin Wang6832816549
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202322
2022107
2021997
2020967
2019977
2018941