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Title:
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SEMI-AUTOMATIC INTERACTIVE VISUALIZATION OF QUANTUM DOT NANO-STRUCTURES |
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Author(s):
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Xinying Ye , Will Dudziak , Zhong-hui Duan , Yingcai Xiao , Mingkun Sun , Ernian Pan , Peter W. Chung |
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ISBN:
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978-972-8924-39-3 |
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Editors:
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António Palma dos Reis, Katherine Blashki and Yingcai Xiao (series editors:Piet Kommers, Pedro Isaías and Nian-Shing Chen) |
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Year:
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2007 |
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Edition:
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Single |
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Keywords:
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Visual Analytics, Quantum Dots, Clustering, Interaction. |
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Type:
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Short Paper |
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First Page:
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117 |
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Last Page:
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121 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This paper describes the application of visual analytics in the fabrication of Quantum Dots (QDs). It presents the rationale, design and prototyping of a system for the visual analysis of self-organized quantum dots in strained semiconductors. The system consists of four modules: Input, Clustering, Identification and Examination. Test implementation has shown that the clustering algorithm based on the Edmonds-Karp max-flow technique is not suitable for the applications of large number of QDs while the contiguity clustering algorithm can process the amount of data commonly appeared in this application in reasonable time. The system automates the identification and isolation of QD islands of particular interest. It provides interactive tools for further examination of the isolated QD islands. |
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