Molecular Dynamics Simulation on Hydrogen Ion Implantation Process in Smart-Cut Technology
The hydrogen ion implantation process in Smart-Cut technology is investigated in the present paper using molecular dynamics (MD) simulations. This work focuses on the effects of the implantation energy, dose of hydrogen ions and implantation temperature on the distribution of hydrogen ions and defec...
Saved in:
Published in | Acta mechanica solida Sinica Vol. 29; no. 2; pp. 111 - 119 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Singapore
Elsevier Ltd
01.04.2016
Springer Singapore |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | The hydrogen ion implantation process in Smart-Cut technology is investigated in the present paper using molecular dynamics (MD) simulations. This work focuses on the effects of the implantation energy, dose of hydrogen ions and implantation temperature on the distribution of hydrogen ions and defect rate induced by ion implantation. Numerical analysis shows that implanted hydrogen ions follow an approximate Gaussian distribution which mainly depends on the implantation energy and is independent of the hydrogen ion dose and implantation temperature. By introducing a new parameter of defect rate, the influence of the processing parameters on defect rate is also quantitatively examined. |
---|---|
Bibliography: | 42-1121/O3 Smart-Cut technology ion implantation molecular dynamics defect rate The hydrogen ion implantation process in Smart-Cut technology is investigated in the present paper using molecular dynamics(MD) simulations.This work focuses on the effects of the implantation energy,dose of hydrogen ions and implantation temperature on the distribution of hydrogen ions and defect rate induced by ion implantation.Numerical analysis shows that implanted hydrogen ions follow an approximate Gaussian distribution which mainly depends on the implantation energy and is independent of the hydrogen ion dose and implantation temperature.By introducing a new parameter of defect rate,the influence of the processing parameters on defect rate is also quantitatively examined. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0894-9166 1860-2134 |
DOI: | 10.1016/S0894-9166(16)30100-8 |