粉体および粉末冶金
Online ISSN : 1880-9014
Print ISSN : 0532-8799
ISSN-L : 0532-8799
研究論文
実験的熱電特性のデータベース化に向けた論文データ収集WebシステムStarry dataの開発
桂 ゆかり熊谷 将也郡司 咲子今井 庸二木村 薫
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2017 年 64 巻 8 号 p. 467-470

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Although numerous papers are published each year, most of the experimental data reported in those papers are only available as two-dimensional plot images. Data-driven materials science using the machine learning technologies will be accelerated by gathering those published experimental data into a database. By taking thermoelectric materials as a test case, we attempted to optimize the processes of collection of papers, extraction of numeric data from plot images, and sample-based data storage into a database. By searching with a keyword “thermoelectric”, we obtained a list of 47,936 papers. Among these papers, we selected 18,471 papers as possible papers with thermoelectric properties, and succeeded to download 14,835 full-text PDF files. We developed a web system named “Starry data”, to assist the sequential data extraction from the images contained in those PDF files. This system also assists materials scientists to annotate experimental samples efficiently, to develop a descriptive database that can be used for machine-learning of the complex, sample-dependent materials properties.

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© 2017 一般社団法人粉体粉末冶金協会
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