The line shape analysis of electron spectroscopy spectra by the artifical intelligence methods for identification of C sp.sup.2./sup./sp.sup.3./sup. bonds

0355353 - FZÚ 2011 RIV DE eng J - Journal Article
Lesiak, B. - Zemek, Josef - Jiříček, Petr - Stobinski, L. - Jozwik, A.
The line shape analysis of electron spectroscopy spectra by the artifical intelligence methods for identification of C sp²/sp³ bonds.
Physica Status Solidi B. Roč. 247, 11-12 (2010), s. 2838-2842. ISSN 0370-1972. E-ISSN 1521-3951
R&D Projects: GA ČR GA202/09/0428
Institutional research plan: CEZ:AV0Z10100521
Keywords : carbon nanotubes * temperature functionalization * electron spectroscopy * line shape analysis
Subject RIV: BM - Solid Matter Physics ; Magnetism
Impact factor: 1.344, year: 2010

The functionalized by the oxidation reaction multiwall carbon nanotubes, denoted as ox-MWCNTs, and temperature modified are studied using the X-ray induced Auger electron spectroscopy (XAES) and elastic peak electron spectroscopy reflection electron energy loss (EPES REELS). The artificial intelligence methods, like (i) the principal components (PC) and (ii) the k-nearest neighbors (kNN) rule are applied for analysis of spectra line shapes. These methods apply spectra (i) transformation (PC) and (ii) n-dimensional representation as vector points (kNN) and deal with distances between vector points. The spectra of temperature modified ox-MWCNTs are identified on the basis of respective spectra recorded from the so-called reference set, i.e., the spectra from graphite (C sp2 hybridizations) and diamond (C sp3 hybridizations).
Permanent Link: http://hdl.handle.net/11104/0194140