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Management of Combinatorially Acquired Multi-dimensional Data through Object-Oriented Virtual Sample Library

Published online by Cambridge University Press:  01 February 2011

Shin-ichi Todoroki  and
Satoru Inoue
Shin-ichi Todoroki
Affiliation:
Advanced Materials Laboratory, National Institute for Material Science, Namiki 1–1, Tsukuba, Ibaraki 305–0044, JAPAN
Satoru Inoue
Affiliation:
Advanced Materials Laboratory, National Institute for Material Science, Namiki 1–1, Tsukuba, Ibaraki 305–0044, JAPAN
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Abstract

Combinatorial methods bring about plentiful data not only in size but also in dimension. To handle multi-dimensional data easily, a virtual container of combinatorially acquired data is developed which is called “virtual sample libraries” (VSL). VSL stores the data hierarchically in the order of (1) coordinates in the sample library, (2) names of the measurements performed, and (3) data obtained from each measurement. Thus, the loads for analysis and visualization of multi-dimensional data are reduced because the stored data can be accessed intuitively, that is, just by tracing the hierarchy structure. This framework is easily constructed by the aid of object-oriented script language which is good at describing complicated data structure. Visualization of combinatorially acquired 7-dimensional data is demonstrated.

Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 804: Symposium JJ – Combinatorial and Artificial Intelligence Methods in Materials Science II , 2003 , JJ6.7
Copyright
Copyright © Materials Research Society 2004

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References

REFERENCES

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