著者同定に向けた金沢大学の実験

ワークショップ「研究者と論文とを結びつけるために～研究者IDサミット２～」(平成24年2月14日，大阪市立大学)での発表資

Author Identification : One view on the infrastructure building in Open Access environment

DRF国際会議2009：オープンアクセスリポジトリの現在と未来:世界とアジアへの視点から＝International Conference 2009：Open access repositories now and in the future : from the global and Asia-Pacific points of view(Dec.3-4,2009, Tokyo)のポスターセッション用資

Tabular Two-Dimensional Correlation Analysis for Multifaceted Characterization Data

We propose tabular two-dimensional correlation analysis for extracting features from multifaceted characterization data, essential for understanding material properties. This method visualizes similarities and phase lags in structural parameter changes through heatmaps, combining hierarchical clustering and asynchronous correlations. We applied the proposed method to datasets of carbon nanotube (CNTs) films annealed at various temperatures and revealed the complexity of their hierarchical structures, which include elements like voids, bundles, and amorphous carbon. Our analysis addresses the challenge of attempting to understand the sequence of structural changes, especially in multifaceted characterization data where 11 structural parameters derived from 8 characterization methods interact with complex behavior. The results show how phase lags (asynchronous changes from stimuli) and parameter similarities can illuminate the sequence of structural changes in materials, providing insights into phenomena like the removal of amorphous carbon and graphitization in annealed CNTs. This approach is beneficial even with limited data and holds promise for a wide range of material analyses, demonstrating its potential in elucidating complex material behaviors and properties.Comment: 15 pages, 4 figure