Directional protrusion effect of Ge surface induced by argon cluster oblique bombardment

F Feier Yu (School of Mathematics, Physics and Statistics, Shanghai University of Engineering Science 1 , Shanghai 201620,) T Tan Zhang G Guanglong Chen (School of Mathematics, Physics and Statistics, Shanghai University of Engineering Science 1 , Shanghai 201620,) P Peilei Zhang (School of Materials Science and Engineering, Shanghai University of Engineering Science 2 , Shanghai 201620,) H Haiyang Lü Y Yunjiu Cao (School of Mathematics, Physics and Statistics, Shanghai University of Engineering Science 1 , Shanghai 201620,) L Li Ren H Huili Shao (School of Mathematics, Physics and Statistics, Shanghai University of Engineering Science 1 , Shanghai 201620,) X Xinxin Zhao

Abstract

The Gas Cluster Ion Beam (GCIB) bombardment, serving as a pivotal technique for nanoripple formation on material surfaces, has attracted growing attention. In this study, molecular dynamics simulations were employed to investigate the bombardment of Ge surfaces using Ar3000 clusters with a cluster energy of 50 keV, aiming to understand the underlying mechanism of nanoripple formation. The result demonstrates that there will be a directional pit–protrusion morphology formation under the cluster oblique bombardment. Quantitative number analysis of the sputtered and migrated atoms within 0–12 ps indicates that the atom migration reaches a peak at an incident angle of 60°. In this case, a construct characterized by the higher protrusion and a shallower pit is formed. The result contributes to a better understanding of the optimal nanoripple formation on the Ge surface and other material surfaces, while also providing insights for optimizing surface processes via the GCIB technique.

Article Details

Volume / Issue Vol. 138, Issue 23
Published December 21, 2025
ISSN 0021-8979
Publisher American Institute of Physics

Journal Info

Journal of Applied Physics

American Institute of Physics

ISSN: 0021-8979 Physical Sciences

Authors (9)

F

Feier Yu

School of Mathematics, Physics and Statistics, Shanghai University of Engineering Science 1 , Shanghai 201620,

T

Tan Zhang

G

Guanglong Chen

School of Mathematics, Physics and Statistics, Shanghai University of Engineering Science 1 , Shanghai 201620,

P

Peilei Zhang

School of Materials Science and Engineering, Shanghai University of Engineering Science 2 , Shanghai 201620,

H

Haiyang Lü

Y

Yunjiu Cao

School of Mathematics, Physics and Statistics, Shanghai University of Engineering Science 1 , Shanghai 201620,

L

Li Ren

H

Huili Shao

School of Mathematics, Physics and Statistics, Shanghai University of Engineering Science 1 , Shanghai 201620,

X

Xinxin Zhao