4.6 Article

Formation of self-organized nano-dimensional structures on InP surfaces using ion irradiation and their wettability: A study based on experimental and theoretical concepts of surface

Journal

RADIATION PHYSICS AND CHEMISTRY
Volume 199, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.radphyschem.2022.110353

Keywords

InP; Surface morphology; Roughness exponent; Fractal dimension; Wettability; Atomic Force Microscope

Funding

  1. Department of Science and Technology, India at IUAC
  2. Science and Engineering Research Board (SERB) of India [PDF/2015/000590, PDF/2016/003470]

Ask authors/readers for more resources

InP surfaces were irradiated with 50 keV Ar+ ions, resulting in the formation of self-organized nanodots. The size uniformity of the nanodots improved with higher ion fluences, and the surface became enriched in Indium. Wettability studies showed that the contact angle of the surface increased with ion irradiation and stabilized at later fluences. Surface correlation analysis using autocorrelation and height-height correlation functions revealed that the interface width increased with ion fluences, indicating the presence of larger self-organized nanodots on the surface.
InP surfaces are bombarded with 50 keV Ar+ ion beam at normal incidence with fluences ranging from~2 x 10(16) to 8 x 10(16) ions/cm(2). The formation of self-organized nanodots on Indium Phosphide (InP) are captured by Atomic Force Microscope (AFM) and Scanning Electron Microscope (SEM). Uniformity in size of dots is improved for the higher fluences and the surface becomes Indium rich with ion irradiation. Wettability studies show that the surface contact angle (CA) increases with ion irradiation and stabilizes for later fluences. The autocorrelation and height-height correlation function are applied for surface correlation and fractal nature of AFM images. Wetting properties of fractal surfaces are explored. The interface-width is found to increase with the ion fluences. The lateral correlation length is computed using auto-correlation function, while roughness exponent and the fractal dimension were estimated using height-height correlation function. Larger values of interface width indicate the larger self-organized nanodots on the surface. Fractal formations are able to capably disperse or collect mass, energy, and information over large spatial and temporal dimensions. Due to these properties, artificial fractal structures are becoming an essential and fundamental topic of study in applied research.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available