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Nondestructive characterization of nanoporous alumina films using terahertz scattering imaging

Authors :
Mi Jung
David S. Citrin
Deok Ha Woo
Min Zhai
Alexandre Locquet
Georgia Tech Lorraine [Metz]
Université de Franche-Comté (UFC)
Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Ecole Supérieure d'Electricité - SUPELEC (FRANCE)-Georgia Institute of Technology [Atlanta]-CentraleSupélec-Ecole Nationale Supérieure des Arts et Metiers Metz-Centre National de la Recherche Scientifique (CNRS)
Konkuk University [Seoul]
Korea Advanced Institute of Science and Technology (KAIST)
Source :
Surface and Coatings Technology, Surface and Coatings Technology, Elsevier, 2021, 408 (22), pp.126792. ⟨10.1016/j.surfcoat.2020.126792⟩
Publication Year :
2021
Publisher :
HAL CCSD, 2021.

Abstract

International audience; Ordered nanoporous (NP) alumina (Al2O3) films were grown on Al substrates through a two-step electrochemical anodization process. The morphology as well as the roughness are characterized by terahertz (THz) reflectometry and scattering imaging. In particular, we show that before the second anodization, irregular surface morphology of the NP Al2O3 films leads to significant THz scattering, whereas the far more homogeneous films following the second anodization show far less scattering. The regularity of the surface morphology is not readily ascertained using visible-light optical microscopy. The THz results are corroborated by field-emission scanning electron microscopy (SEM) and atomic-force microscopy (AFM), both of which are time-consuming, not easy to operate, and can only provide the local characterization of NP Al2O3 films on Al substrate. THz-based techniques allow for the nondestructive characterization of the surface morphology of the entire NP Al2O3 films on the 10–100 μm length scale important for a range of applications while providing information over macroscopic scan areas, and obviate the need for sample preparation required by other common surface-morphology characterization techniques.

Details

Language :
English
ISSN :
02578972
Database :
OpenAIRE
Journal :
Surface and Coatings Technology, Surface and Coatings Technology, Elsevier, 2021, 408 (22), pp.126792. ⟨10.1016/j.surfcoat.2020.126792⟩
Accession number :
edsair.doi.dedup.....38d16593d4d979bce65e14e7a65bf043