Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/159771
Título: Surface Smoothing by Gas Cluster Ion Beam Using Decreasing Three-Step Energy Treatment
Autor: Pelenovich, Vasiliy
Zeng, Xiaomei
Zhang, Xiangyu
Fu, Dejun
Lei, Yan
Yang, Bing
Tolstoguzov, Alexander
Palavras-chave: gas cluster ion beam
nanoscale craters
power spectral density function
surface roughness
surface smoothing
Surfaces and Interfaces
Surfaces, Coatings and Films
Materials Chemistry
Data: 17-Mai-2023
Citação: Pelenovich, V., Zeng, X., Zhang, X., Fu, D., Lei, Y., Yang, B., & Tolstoguzov, A. (2023). Surface Smoothing by Gas Cluster Ion Beam Using Decreasing Three-Step Energy Treatment. COATINGS, 13(5), [942]. https://doi.org/10.3390/coatings13050942
Resumo: A three-step treatment of Si wafers by gas cluster ion beam with decreasing energy was used to improve the performance of surface smoothing. First, a high energy treatment at 15 keV and an ion fluence of 2 × 1016 cm−2 was used to remove initial surface features (scratches). Next, treatments at 8 and 5 keV with the same fluences reduced the roughness that arose due to the formation of morphological features induced by the surface sputtering at the first high energy step. The surface morphology was characterized by the atomic force microscopy. The root mean square roughness Rq and 2D isotropic power spectral density functions were analyzed. For comparison, the smoothing performances of single-step treatments at 15, 8, and 5 keV were also studied. The lowest roughness values achieved for the single and three-step treatments were 1.06 and 0.65 nm, respectively.
Descrição: Funding Information: This work was supported by the Hubei Provincial and Municipal Double First-class Talent Construction Start-up Fund in 2022 (Project No. 600460045), the Key R&D program of Hubei Province (Grant No. 2022BAA049), the Science and Technology Planning Project of Shenzhen Municipality (Grant Nos. 2019N032, JCYJ20220530140605011), and the National Key Research and Development Program of China (Grant No. 2022YFB4601000). Publisher Copyright: © 2023 by the authors.
Peer review: yes
URI: http://hdl.handle.net/10362/159771
DOI: https://doi.org/10.3390/coatings13050942
ISSN: 2079-6412
Aparece nas colecções:FCT: CEFITEC - Artigos em revista internacional com arbitragem científica

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