Thermal characterization of morphologically diverse copper phthalocyanine thin layers by scanning thermal microscopy - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Ultramicroscopy Année : 2022

Thermal characterization of morphologically diverse copper phthalocyanine thin layers by scanning thermal microscopy

Résumé

Morphologically diverse copper phthalocyanine (CuPc) thin layers were thermally characterized by scanning thermal microscopy (SThM). The organic layers with thicknesses below 1 µm were deposited by physical vapor deposition in a high vacuum on the N-BK 7 glass substrates. Four set of samples were fabricated and studied. Atomic Force Microscopy imaging revealed strong differences in the surface roughness, mean grain size/height, as well as distances between grains for the CuPc layers. For quantitative thermal investigations, three active SThM operating modes were applied using either a Wollaston thermal probe (ThP) or KNT ThP as thermal probe heated with a DC, an AC (3ω-SThM) current or their combination (DC/AC SThM). Meanwhile, qualitative analysis was performed by thermal surface imaging. The results of this study revealed a correlation between the morphology and the local thermophysical properties of the examined CuPc thin layers. It was found that the heat transport properties in such layers will deteriorate with the increase of the surface roughness and porosity. Those results can be a valuable contribution to the further development of phthalocyanine-based devices.
Fichier principal
Vignette du fichier
Ultramicroscopy.pdf (6.88 Mo) Télécharger le fichier
Origine : Publication financée par une institution
Licence : CC BY - Paternité

Dates et versions

hal-03462723 , version 1 (20-12-2023)

Licence

Paternité

Identifiants

Citer

Dominika Trefon-Radziejewska, Justyna Juszczyk, Maciej Krzywiecki, Georges Hamaoui, Nicolas Horny, et al.. Thermal characterization of morphologically diverse copper phthalocyanine thin layers by scanning thermal microscopy. Ultramicroscopy, 2022, 233, pp.113435. ⟨10.1016/j.ultramic.2021.113435⟩. ⟨hal-03462723⟩
61 Consultations
14 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More