FRACTAL PATTERN GROWTH OF METAL ATOM CLUSTERS IN ION IMPLANTED POLYMERS
Zhang Tong-he (张通和)a, Wu Yu-guang (吴瑜光)a, Sang Hai-bo (桑海波)a, Li Yong-liang (李永良)b, Zhou Gu (周固)b
a Key Laboratory in University for Radiation Beam Technology and Material Modification, Institute of Low Energy Nuclear Physics, Beijing Normal University, Beijing Radiation Center, Beijing 100875, China; b Testing and Analysis Center, Beijing Normal University, Beijing 100875, China
Abstract The fractal and multi-fractal patterns of metal atoms are observed in the surface layer and cross section of a metal ion implanted polymer using TEM and SEM for the first time. The surface structure in the metal ion implanted polyethylene terephthalane (PET) is the random fractal. Certain average quantities of the random geometric patterns contain self-similarity. Some growth origins appeared in the fractal pattern which has a dimension of 1.67. The network structure of the fractal patterns is formed in cross section, having a fractal dimension of 1.87. So it can be seen that the fractal pattern is three-dimensional space fractal. We also find the collision cascade fractal in the cross section of implanted nylon, which is similar to the collision cascade pattern in transverse view calculated by the TRIM computer program. Finally, the mechanism for the formation and growth of the fractal patterns during ion implantation is discussed.
Received: 19 July 2000
Revised: 08 December 2000
Accepted manuscript online:
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 59671051), and "863" of National High Science and Technology of China.
Cite this article:
Zhang Tong-he (张通和), Wu Yu-guang (吴瑜光), Sang Hai-bo (桑海波), Li Yong-liang (李永良), Zhou Gu (周固) FRACTAL PATTERN GROWTH OF METAL ATOM CLUSTERS IN ION IMPLANTED POLYMERS 2001 Chinese Physics 10 295
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.