Institution
Chung-Ang University
Education•Seoul, South Korea•
About: Chung-Ang University is a education organization based out in Seoul, South Korea. It is known for research contribution in the topics: Population & Thin film. The organization has 13381 authors who have published 26978 publications receiving 416735 citations. The organization is also known as: CAU & Chung.
Topics: Population, Thin film, Medicine, Cancer, Apoptosis
Papers published on a yearly basis
Papers
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TL;DR: In this article, the performance of the H-RGO/MnO2 composites was investigated using cyclic voltammetry and galvanostatic charge/discharge tests and electrochemical impedance spectroscopy in a three-electrode experimental setup.
145 citations
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TL;DR: The present study strongly suggests interspecific cross-hybridization between the two species coexisting in Korea, and indicates an existence of different alleles at the loci.
145 citations
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TL;DR: In this article, a review of the challenges of low-dimensional halide perovskites as candidates for future optoelectronics and electronic devices is provided, highlighting the limitations of polycrystalline H-Perovskite thin films and the unique characteristics of lowdimensional H-PERO nanostructures including electrical, optical, and chemical properties.
Abstract: Halide perovskites are emerging materials for future optoelectronics and electronics due to their remarkable advantages such as a high light absorption coefficient, long charge carrier diffusion length, facile synthesis method, and low cost. As polycrystalline halide perovskite thin films, which have been studied so far, have crucial limitations, low-dimensional halide perovskites have attracted attention due to their unique optical properties and charge transport properties, which have not been observed before. This review highlights the limitations of polycrystalline halide perovskites thin films and the unique characteristics of low-dimensional halide perovskite nanostructures including their electrical, optical, and chemical properties. After introducing the recent developments of various low-dimensional halide perovskite nanostructures including the synthesis methods, their properties, and applications, a brief overview of the challenges of low-dimensional halide perovskites as candidates for future optoelectronics and electronic devices is provided.
145 citations
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TL;DR: A deep-machine-learning technique based on a convolutional neural network (CNN) is introduced for the classification of crystal system, extinction group and space group for given powder X-ray diffraction patterns of inorganic materials.
145 citations
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TL;DR: In this article, the authors conducted an on-site survey of existing university buildings to determine their current energy consumption patterns, and determined energy saving strategies by analyzing the buildings' potential for energy conservation by implementing strategies for improving their energy efficiencies.
145 citations
Authors
Showing all 13500 results
Name | H-index | Papers | Citations |
---|---|---|---|
Carl Nathan | 135 | 430 | 91535 |
Scheffer C.G. Tseng | 93 | 333 | 29213 |
Richard L. Sidman | 93 | 297 | 32009 |
H. Yamaguchi | 90 | 375 | 33135 |
Ajith Abraham | 86 | 1113 | 31834 |
Byung Ihn Choi | 78 | 609 | 24925 |
Stefano Soatto | 78 | 499 | 23597 |
J. H. Kim | 73 | 566 | 23052 |
Daehee Kang | 72 | 422 | 23959 |
Lance M. McCracken | 72 | 281 | 18897 |
Masanobu Shinozuka | 69 | 456 | 21961 |
Seung U. Kim | 64 | 355 | 14269 |
Sug Hyung Lee | 64 | 454 | 21552 |
Seung U. Kim | 63 | 129 | 11983 |
Nam Jin Yoo | 63 | 403 | 12692 |