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Institution

Chinese Academy of Sciences

GovernmentBeijing, 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
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Proceedings ArticleDOI
03 Nov 2014
TL;DR: This paper investigates a framework of deep learning with application to CBIR tasks with an extensive set of empirical studies by examining a state-of-the-art deep learning method (Convolutional Neural Networks) for CBIr tasks under varied settings.
Abstract: Learning effective feature representations and similarity measures are crucial to the retrieval performance of a content-based image retrieval (CBIR) system. Despite extensive research efforts for decades, it remains one of the most challenging open problems that considerably hinders the successes of real-world CBIR systems. The key challenge has been attributed to the well-known ``semantic gap'' issue that exists between low-level image pixels captured by machines and high-level semantic concepts perceived by human. Among various techniques, machine learning has been actively investigated as a possible direction to bridge the semantic gap in the long term. Inspired by recent successes of deep learning techniques for computer vision and other applications, in this paper, we attempt to address an open problem: if deep learning is a hope for bridging the semantic gap in CBIR and how much improvements in CBIR tasks can be achieved by exploring the state-of-the-art deep learning techniques for learning feature representations and similarity measures. Specifically, we investigate a framework of deep learning with application to CBIR tasks with an extensive set of empirical studies by examining a state-of-the-art deep learning method (Convolutional Neural Networks) for CBIR tasks under varied settings. From our empirical studies, we find some encouraging results and summarize some important insights for future research.

865 citations

Journal ArticleDOI
TL;DR: This series of crystal structures, which is the first, to the authors' knowledge, of any protein from the SARS virus, reveal substantial pH-dependent conformational changes, and an unexpected mode of inhibitor binding, providing a structural basis for rational drug design.
Abstract: A newly identified severe acute respiratory syndrome coronavirus (SARS-CoV), is the etiological agent responsible for the outbreak of SARS. The SARS-CoV main protease, which is a 33.8-kDa protease (also called the 3C-like protease), plays a pivotal role in mediating viral replication and transcription functions through extensive proteolytic processing of two replicase polyproteins, pp1a (486 kDa) and pp1ab (790 kDa). Here, we report the crystal structures of the SARS-CoV main protease at different pH values and in complex with a specific inhibitor. The protease structure has a fold that can be described as an augmented serine-protease, but with a Cys-His at the active site. This series of crystal structures, which is the first, to our knowledge, of any protein from the SARS virus, reveal substantial pH-dependent conformational changes, and an unexpected mode of inhibitor binding, providing a structural basis for rational drug design.

864 citations

Journal ArticleDOI
TL;DR: Recently, several series of new fullerene derivatives with higher-lying LUMO energy level and better solubility were reported in recent years for further improving the power conversion efficiency of the PSCs.
Abstract: Polymer solar cells (PSCs) are composed of a blend film of a conjugated polymer donor and a soluble fullerene derivative acceptor sandwiched between a PEDOT : PSS coated ITO positive electrode and a low workfunction metal negative electrode. The conjugated polymer donor and the fullerene derivative acceptor are the key photovoltaic materials for high performance PSCs. For the acceptors, although [6,6]-phenyl-C61-butyric acid methyl ester (PC60BM) and its corresponding C70 derivative PC70BM are dominantly used as the acceptors in PSC at present, several series of new fullerene derivatives with higher-lying LUMO energy level and better solubility were reported in recent years for further improving the power conversion efficiency of the PSCs. In this perspective paper, we reviewed the recent research progress on the new fullerene derivative acceptors, including various PC60BM-like C60 derivatives, PC60BM bisadduct, PC70BM bisadduct, indene-C60 bisadduct and indene-C70 bisadduct, trimetallic nitride endohedral fullerenes and other C60 derivatives with multi side chains. The synthesis and physicochemical properties of PC60BM and PC70BM were also introduced considering the importance of the two fullerene acceptors.

864 citations

Journal ArticleDOI
TL;DR: LiFeAs as discussed by the authors is a new superconducting iron arsenide system LiFeAs was found, which crystallizes into a structure containing [FeAs] conducting layer that is interlaced with Li charge reservoir.

863 citations

Journal ArticleDOI
TL;DR: The "work-hardening" capability and ductility of this class of metallic glass is attributed to a unique structure correlated with atomic-scale inhomogeneity, leading to an inherent capability of extensive shear band formation, interactions, and multiplication of shear bands.
Abstract: Usually, monolithic bulk metallic glasses undergo inhomogeneous plastic deformation and exhibit poor ductility (< 1%) at room temperature. We present a new class of bulk metallic glass, which exhibits high strength of up to 2265 MPa together with extensive "work hardening" and large ductility of 18%. Significant increase in the flow stress was observed during deformation. The "work-hardening" capability and ductility of this class of metallic glass is attributed to a unique structure correlated with atomic-scale inhomogeneity, leading to an inherent capability of extensive shear band formation, interactions, and multiplication of shear bands.

863 citations


Authors

Showing all 422053 results

NameH-indexPapersCitations
Frank B. Hu2501675253464
Zhong Lin Wang2452529259003
Yi Chen2174342293080
Jing Wang1844046202769
Peidong Yang183562144351
Xiaohui Fan183878168522
H. S. Chen1792401178529
Douglas Scott1781111185229
Jie Zhang1784857221720
Pulickel M. Ajayan1761223136241
Feng Zhang1721278181865
Andrea Bocci1722402176461
Yang Yang1712644153049
Lei Jiang1702244135205
Yang Gao1682047146301
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023170
20222,918
202159,109
202055,057
201952,186
201846,329