The Experts below are selected from a list of 3159 Experts worldwide ranked by ideXlab platform
Lining He - One of the best experts on this subject based on the ideXlab platform.
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high efficiency si polymer hybrid solar cells based on synergistic surface texturing of si nanowires on pyramids
Small, 2012Co-Authors: Lining He, Hao Wang, Changyun JiangAbstract:An efficient Si/PEDOT:PSS hybrid solar cell using synergistic surface texturing of Si nanowires (SiNWs) on pyramids is demonstrated. A power conversion efficiency (PCE) of 9.9% is achieved from the cells using the SiNW/pyramid Binary Structure, which is much higher than similar cells based on planar Si, pyramid-textured Si, and SiNWs. The PCE is the highest reported to-date for hybrid cells based on Si nanoStructures and PEDOT.
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High-efficiency Si/polymer hybrid solar cells based on synergistic surface texturing of Si nanowires on pyramids
Small, 2012Co-Authors: Lining He, Donny Lai, Hao Wang, Changyun JiangAbstract:An efficient Si/PEDOT:PSS hybrid solar cell using synergistic surface texturing of Si nanowires (SiNWs) on pyramids is demonstrated. A power conversion efficiency (PCE) of 9.9% is achieved from the cells using the SiNW/pyramid Binary Structure, which is much higher than similar cells based on planar Si, pyramid-textured Si, and SiNWs. The PCE is the highest reported to-date for hybrid cells based on Si nanoStructures and PEDOT. © 2012 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.
Daniel C Fredrickson - One of the best experts on this subject based on the ideXlab platform.
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homoatomic clustering in t4ga5 t ta nb ta mo a story of reluctant intermetallics crystallizing in a new Binary Structure type
ChemInform, 2015Co-Authors: Rie T Fredrickson, Brandon J Kilduff, Daniel C FredricksonAbstract:Ta4Ga5, Nb4Ga5, and Ta3.86Mo0.14Ga5 are prepared from the elements (850—1100 °C, 198—700 h) and characterized by powder and single crystal XRD, EDS, electron probe microanalysis, and DFT electronic Structure calculations.
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homoatomic clustering in t4ga5 t ta nb ta mo a story of reluctant intermetallics crystallizing in a new Binary Structure type
Inorganic Chemistry, 2015Co-Authors: Rie T Fredrickson, Brandon J Kilduff, Daniel C FredricksonAbstract:In the formation of Binary compounds, heteroatomic interactions are generally expected to play the leading role in providing stability. In this Article, we present a series of gallides, T4Ga5 (T = Ta, Nb, and Ta/Mo), which appear to defy this expectation. Their complex crystal Structures represent a new Binary Structure type (to the best of our knowledge),, which can be visualized in terms of a host lattice of T@T8 body centered cubic (bcc) clusters linked through face-capping Ga2 dumbbells to form a primitive cubic framework. The cubic spaces that result are alternately filled by distorted T pentagonal dodecahedra (sharing atoms with the host lattice) and dimers of bcc fragments, leading to a √2 × √2 × 2 supercell of the host framework Structure. Ga tetrahedra and icosahedral units fill the remaining void spaces. Underlying these structural features is a strong tendency for homoatomic clustering of Ta and Ga, which is evident in all of the coordination polyhedra. Electronic Structure calculations using d...
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Homoatomic Clustering in T4Ga5 (T = Ta, Nb, Ta/Mo): A Story of Reluctant Intermetallics Crystallizing in a New Binary Structure Type
Inorganic Chemistry, 2014Co-Authors: Rie T Fredrickson, Brandon J Kilduff, Daniel C FredricksonAbstract:In the formation of Binary compounds, heteroatomic interactions are generally expected to play the leading role in providing stability. In this Article, we present a series of gallides, T4Ga5 (T = Ta, Nb, and Ta/Mo), which appear to defy this expectation. Their complex crystal Structures represent a new Binary Structure type (to the best of our knowledge),, which can be visualized in terms of a host lattice of T@T8 body centered cubic (bcc) clusters linked through face-capping Ga2 dumbbells to form a primitive cubic framework. The cubic spaces that result are alternately filled by distorted T pentagonal dodecahedra (sharing atoms with the host lattice) and dimers of bcc fragments, leading to a √2 × √2 × 2 supercell of the host framework Structure. Ga tetrahedra and icosahedral units fill the remaining void spaces. Underlying these structural features is a strong tendency for homoatomic clustering of Ta and Ga, which is evident in all of the coordination polyhedra. Electronic Structure calculations using d...
Changyun Jiang - One of the best experts on this subject based on the ideXlab platform.
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high efficiency si polymer hybrid solar cells based on synergistic surface texturing of si nanowires on pyramids
Small, 2012Co-Authors: Lining He, Hao Wang, Changyun JiangAbstract:An efficient Si/PEDOT:PSS hybrid solar cell using synergistic surface texturing of Si nanowires (SiNWs) on pyramids is demonstrated. A power conversion efficiency (PCE) of 9.9% is achieved from the cells using the SiNW/pyramid Binary Structure, which is much higher than similar cells based on planar Si, pyramid-textured Si, and SiNWs. The PCE is the highest reported to-date for hybrid cells based on Si nanoStructures and PEDOT.
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High-efficiency Si/polymer hybrid solar cells based on synergistic surface texturing of Si nanowires on pyramids
Small, 2012Co-Authors: Lining He, Donny Lai, Hao Wang, Changyun JiangAbstract:An efficient Si/PEDOT:PSS hybrid solar cell using synergistic surface texturing of Si nanowires (SiNWs) on pyramids is demonstrated. A power conversion efficiency (PCE) of 9.9% is achieved from the cells using the SiNW/pyramid Binary Structure, which is much higher than similar cells based on planar Si, pyramid-textured Si, and SiNWs. The PCE is the highest reported to-date for hybrid cells based on Si nanoStructures and PEDOT. © 2012 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.
Rie T Fredrickson - One of the best experts on this subject based on the ideXlab platform.
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homoatomic clustering in t4ga5 t ta nb ta mo a story of reluctant intermetallics crystallizing in a new Binary Structure type
ChemInform, 2015Co-Authors: Rie T Fredrickson, Brandon J Kilduff, Daniel C FredricksonAbstract:Ta4Ga5, Nb4Ga5, and Ta3.86Mo0.14Ga5 are prepared from the elements (850—1100 °C, 198—700 h) and characterized by powder and single crystal XRD, EDS, electron probe microanalysis, and DFT electronic Structure calculations.
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homoatomic clustering in t4ga5 t ta nb ta mo a story of reluctant intermetallics crystallizing in a new Binary Structure type
Inorganic Chemistry, 2015Co-Authors: Rie T Fredrickson, Brandon J Kilduff, Daniel C FredricksonAbstract:In the formation of Binary compounds, heteroatomic interactions are generally expected to play the leading role in providing stability. In this Article, we present a series of gallides, T4Ga5 (T = Ta, Nb, and Ta/Mo), which appear to defy this expectation. Their complex crystal Structures represent a new Binary Structure type (to the best of our knowledge),, which can be visualized in terms of a host lattice of T@T8 body centered cubic (bcc) clusters linked through face-capping Ga2 dumbbells to form a primitive cubic framework. The cubic spaces that result are alternately filled by distorted T pentagonal dodecahedra (sharing atoms with the host lattice) and dimers of bcc fragments, leading to a √2 × √2 × 2 supercell of the host framework Structure. Ga tetrahedra and icosahedral units fill the remaining void spaces. Underlying these structural features is a strong tendency for homoatomic clustering of Ta and Ga, which is evident in all of the coordination polyhedra. Electronic Structure calculations using d...
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Homoatomic Clustering in T4Ga5 (T = Ta, Nb, Ta/Mo): A Story of Reluctant Intermetallics Crystallizing in a New Binary Structure Type
Inorganic Chemistry, 2014Co-Authors: Rie T Fredrickson, Brandon J Kilduff, Daniel C FredricksonAbstract:In the formation of Binary compounds, heteroatomic interactions are generally expected to play the leading role in providing stability. In this Article, we present a series of gallides, T4Ga5 (T = Ta, Nb, and Ta/Mo), which appear to defy this expectation. Their complex crystal Structures represent a new Binary Structure type (to the best of our knowledge),, which can be visualized in terms of a host lattice of T@T8 body centered cubic (bcc) clusters linked through face-capping Ga2 dumbbells to form a primitive cubic framework. The cubic spaces that result are alternately filled by distorted T pentagonal dodecahedra (sharing atoms with the host lattice) and dimers of bcc fragments, leading to a √2 × √2 × 2 supercell of the host framework Structure. Ga tetrahedra and icosahedral units fill the remaining void spaces. Underlying these structural features is a strong tendency for homoatomic clustering of Ta and Ga, which is evident in all of the coordination polyhedra. Electronic Structure calculations using d...
Yurong Chen - One of the best experts on this subject based on the ideXlab platform.
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Network Sketching: Exploiting Binary Structure in Deep CNNs
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017Co-Authors: Hao Zhao, Yurong ChenAbstract:Convolutional neural networks (CNNs) with deep architectures have substantially advanced the state-of-the-art in computer vision tasks. However, deep networks are typically resource-intensive and thus difficult to be deployed on mobile devices. Recently, CNNs with Binary weights have shown compelling efficiency to the community, whereas the accuracy of such models is usually unsatisfactory in practice. In this paper, we introduce network sketching as a novel technique of pursuing Binary-weight CNNs, targeting at more faithful inference and better trade-off for practical applications. Our basic idea is to exploit Binary Structure directly in pre-trained filter banks and to produce Binary-weight models via tensor expansion. The whole process can be treated as a coarse-to-fine model approximation, akin to the pencil drawing steps of outlining and shading. To further speedup the generated models, namely the sketches, we also propose an associative implementation of Binary tensor convolutions. Experimental results demonstrate that a proper sketch of AlexNet (or ResNet) outperforms the existing Binary-weight models by large margins on the ImageNet large scale classification task, while the committed memory for network parameters only exceeds a little.
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CVPR - Network Sketching: Exploiting Binary Structure in Deep CNNs
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017Co-Authors: Hao Zhao, Yurong ChenAbstract:Convolutional neural networks (CNNs) with deep architectures have substantially advanced the state-of-the-art in computer vision tasks. However, deep networks are typically resource-intensive and thus difficult to be deployed on mobile devices. Recently, CNNs with Binary weights have shown compelling efficiency to the community, whereas the accuracy of such models is usually unsatisfactory in practice. In this paper, we introduce network sketching as a novel technique of pursuing Binary-weight CNNs, targeting at more faithful inference and better trade-off for practical applications. Our basic idea is to exploit Binary Structure directly in pre-trained filter banks and to produce Binary-weight models via tensor expansion. The whole process can be treated as a coarse-to-fine model approximation, akin to the pencil drawing steps of outlining and shading. To further speedup the generated models, namely the sketches, we also propose an associative implementation of Binary tensor convolutions. Experimental results demonstrate that a proper sketch of AlexNet (or ResNet) outperforms the existing Binary-weight models by large margins on the ImageNet large scale classification task, while the committed memory for network parameters only exceeds a little.
