| Description |
1 online resource (6 p.) : col. ill. |
| Series |
NREL/CP ; 2C00-50693 |
|
Conference paper (National Renewable Energy Laboratory (U.S.)) ; NREL/CP-2 C 00-50693.
|
| System Details |
Full text available via Internet in .pdf format. Adobe Acrobat Reader required. |
| Note |
Title from title screen (viewed August 1, 2011). |
|
"July 2011." |
| Summary |
We demonstrate how advanced exploratory data analysis coupled to data-mining techniques can be used to scrutinize the high-dimensional data space of photovoltaics in the context of thin films of Al-doped ZnO (AZO), which are essential materials as a transparent conducting oxide (TCO) layer in CuInxGa1-xSe2 (CIGS) solar cells. AZO data space, wherein each sample is synthesized from a different process history and assessed with various characterizations, is transformed, reorganized, and visualized in order to extract optimal process conditions. The data-analysis methods used include parallel coordinates, diffusion maps, and hierarchical agglomerative clustering algorithms combined with diffusion map embedding. |
| Note |
"Presented at the 37th IEEE Photovoltaic Specialists Conference (PVSC 37), Seattle, Washington, June 19-24, 2011." |
| Bibliography |
Includes bibliographical references (p. 6). |
| Funding |
DE-AC36-08GO28308 |
| Subject |
Thin films -- Research.
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Data mining.
|
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Photovoltaic power systems -- Data processing.
|
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Visualization.
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| Added Author |
Suh, Changwon.
|
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National Renewable Energy Laboratory (U.S.)
|
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University of Colorado, Boulder.
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IEEE Photovoltaic Specialists Conference (37th : 2011 : Seattle, Wash.)
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| Added Title |
Exploring high dimensional data space |
| Gpo Item No. |
0430-P-04 (online) |
| Sudoc No. |
E 9.17:NREL/CP-2 C 00-50693 |
|
