Institution
Chinese Academy of Sciences
Government•Beijing, Beijing, China•
About: Chinese Academy of Sciences is a government organization based out in Beijing, Beijing, China. It is known for research contribution in the topics: Catalysis & Population. The organization has 421602 authors who have published 634849 publications receiving 14894293 citations. The organization is also known as: CAS.
Topics: Catalysis, Population, Laser, Adsorption, Graphene
Papers published on a yearly basis
Papers
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Chinese Academy of Sciences1, Shanghai Jiao Tong University2, Fudan University3, Kunming Institute of Zoology4, Shenzhen University5, Chengdu Research Base of Giant Panda Breeding6, Wellcome Trust7, University of Toronto8, University of California, Berkeley9, Southeast University10, University of Hong Kong11, Sun Yat-sen University12, University of Vienna13, Cardiff University14, Comenius University in Bratislava15, Sichuan University16, South China University of Technology17, University of Copenhagen18, University of Alberta19, University of Washington20
TL;DR: Using next-generation sequencing technology alone, a draft sequence of the giant panda genome is generated and assembled, indicating that its bamboo diet might be more dependent on its gut microbiome than its own genetic composition.
Abstract: Using next-generation sequencing technology alone, we have successfully generated and assembled a draft sequence of the giant panda genome. The assembled contigs (2.25 gigabases (Gb)) cover approximately 94% of the whole genome, and the remaining gaps (0.05 Gb) seem to contain carnivore-specific repeats and tandem repeats. Comparisons with the dog and human showed that the panda genome has a lower divergence rate. The assessment of panda genes potentially underlying some of its unique traits indicated that its bamboo diet might be more dependent on its gut microbiome than its own genetic composition. We also identified more than 2.7 million heterozygous single nucleotide polymorphisms in the diploid genome. Our data and analyses provide a foundation for promoting mammalian genetic research, and demonstrate the feasibility for using next-generation sequencing technologies for accurate, cost-effective and rapid de novo assembly of large eukaryotic genomes.
1,109 citations
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TL;DR: This poster presents a probabilistic procedure to evaluate the response of the H2O/O2 mixture to various pyrolysis conditions and shows promising results in both the horizontal and the vertical domain.
Abstract: Dang Sheng Su,*,†,‡ Siglinda Perathoner, and Gabriele Centi* †Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Science, 72 Wenhua Road, Shenyang 110006, China ‡Department of Inorganic Chemistry, Fritz Haber Institute of the Max Planck Society, Faradayweg 4-6, 14195 Berlin, Germany Dipartimento di Ingegneria Elettronica, Chimica ed Ingegneria Industriale, University of Messina and INSTM/CASPE (Laboratory of Catalysis for Sustainable Production and Energy), Viale Ferdinando Stagno, D’Alcontres 31, 98166 Messina, Italy
1,108 citations
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TL;DR: The fundamental theory of Surface-Enhanced Raman Scattering and the development of Multifunctional Nanoplatforms, a next generation of SERS tags, are studied.
Abstract: CONTENTS 1. Introduction 1.1. Fundamental Theory of Surface-Enhanced Raman Scattering 1.2. Optical Properties of SERS Tags 2. Synthesis of SERS Tags 2.1. Noble Metal Nanosubstrates 2.1.1. Single Particle-Based SERS Substrates 2.1.2. Nanoparticle Cluster-Based Substrates 2.2. Raman Reporter Molecules 2.2.1. Selection Principles and Reporter Types 2.2.2. Self-Assembled Monolayer Coverage Strategy 2.3. Surface Coating for Protection 2.3.1. Biomolecule Coating 2.3.2. Polymer Coating 2.3.3. Liposome Coating 2.3.4. Silica Coating 2.4. Attachment of Targeting Molecules 3. Bioanalysis Applications 3.1. Ionic and Molecular Detection 3.2. Pathogen Detection 3.3. Live-Cell Imaging 3.3.1. Cancer Marker Detection 3.3.2. Intercellular Microenvironment Sensing 3.4. Tissue SERS Imaging 3.5. In Vivo SERS Imaging 4. Challenges and Perspectives 4.1. Reproducible Signal of SERS Tags 4.1.1. Precisely Controlled Hot Spots for Nanosubstrates 4.1.2. Calibration of SERS Intensities and Enhancements 4.2. Improving Multiplexing Capability 4.3. Reduced Size for Subcellular Imaging 4.4. Development of Multifunctional Nanoplatforms 4.4.1. Magnetic SERS Dots 4.4.2. Multimodal Imaging Dots 4.4.3. SERS Tag-Based Therapeutic Systems 4.5. Biocompatibility 5. Conclusions and Remarks
1,108 citations
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TL;DR: This review describes the most recent advances in flexible energy-storage devices, including flexible lithium-ion batteries and flexible supercapacitors, based on carbon materials and a number of composites and flexible micro-supercapacitor.
Abstract: Flexible energy-storage devices are attracting increasing attention as they show unique promising advantages, such as flexibility, shape diversity, light weight, and so on; these properties enable applications in portable, flexible, and even wearable electronic devices, including soft electronic products, roll-up displays, and wearable devices. Consequently, considerable effort has been made in recent years to fulfill the requirements of future flexible energy-storage devices, and much progress has been witnessed. This review describes the most recent advances in flexible energy-storage devices, including flexible lithium-ion batteries and flexible supercapacitors. The latest successful examples in flexible lithium-ion batteries and their technological innovations and challenges are reviewed first. This is followed by a detailed overview of the recent progress in flexible supercapacitors based on carbon materials and a number of composites and flexible micro-supercapacitors. Some of the latest achievements regarding interesting integrated energy-storage systems are also reviewed. Further research direction is also proposed to surpass existing technological bottle-necks and realize idealized flexible energy-storage devices.
1,107 citations
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TL;DR: In this article, the authors derived the low energy effective Hamiltonian involving spin-orbit coupling (SOC) for silicene, which is the analog to the graphene quantum spin Hall effect (QSHE) Hamiltonian.
Abstract: Starting from symmetry considerations and the tight-binding method in combination with first-principles calculation, we systematically derive the low-energy effective Hamiltonian involving spin-orbit coupling (SOC) for silicene. This Hamiltonian is very general because it applies not only to silicene itself but also to the low-buckled counterparts of graphene for the other group-IVA elements Ge and Sn, as well as to graphene when the structure returns to the planar geometry. The effective Hamitonian is the analog to the graphene quantum spin Hall effect (QSHE) Hamiltonian. As in the graphene model, the effective SOC in low-buckled geometry opens a gap at the Dirac points and establishes the QSHE. The effective SOC actually contains the first order in the atomic intrinsic SOC strength ${\ensuremath{\xi}}_{0}$, while this leading-order contribution of SOC vanishes in the planar structure. Therefore, silicene, as well as the low-buckled counterparts of graphene for the other group-IVA elements Ge and Sn, has a much larger gap opened by the effective SOC at the Dirac points than graphene, due to the low-buckled geometry and larger atomic intrinsic SOC strength. Further, the more buckled is the structure, the greater is the gap. Therefore, the QSHE can be observed in low-buckled Si, Ge, and Sn systems in an experimentally accessible temperature regime. In addition, the Rashba SOC in silicene is intrinsic due to its own low-buckled geometry, which vanishes at the Dirac point $K$, while it has a nonzero value with deviation of $\stackrel{P\vec}{k}$ from the $K$ point. Therefore, the QSHE in silicene is robust against the intrinsic Rashba SOC.
1,107 citations
Authors
Showing all 422053 results
Name | H-index | Papers | Citations |
---|---|---|---|
Frank B. Hu | 250 | 1675 | 253464 |
Zhong Lin Wang | 245 | 2529 | 259003 |
Yi Chen | 217 | 4342 | 293080 |
Jing Wang | 184 | 4046 | 202769 |
Peidong Yang | 183 | 562 | 144351 |
Xiaohui Fan | 183 | 878 | 168522 |
H. S. Chen | 179 | 2401 | 178529 |
Douglas Scott | 178 | 1111 | 185229 |
Jie Zhang | 178 | 4857 | 221720 |
Pulickel M. Ajayan | 176 | 1223 | 136241 |
Feng Zhang | 172 | 1278 | 181865 |
Andrea Bocci | 172 | 2402 | 176461 |
Yang Yang | 171 | 2644 | 153049 |
Lei Jiang | 170 | 2244 | 135205 |
Yang Gao | 168 | 2047 | 146301 |