Title :
Detailed analysis and computationally efficient modeling of ultra-shallow as-implanted profiles obtained by low energy B, BF2 , and As ion implantation
Author :
Parab, K.B. ; Morris, M.F. ; Yang, S.-H. ; Morris, S.J. ; Tian, S. ; Obradovic, B. ; Tasch, A.F. ; Kamenitsa, D. ; Simonton, R. ; Magee, C.
Author_Institution :
Microelectron. Res. Center, Texas Univ., Austin, TX, USA
Abstract :
With increasing levels of integration, future generations of integrated circuit technology will require extremely shallow dopant profiles. Ion implantation has long been used in semiconductor material processing and will be a vitally important technique for obtaining ultra-shallow dopant profiles. However, implant channeling for low energy ion implantation must be understood and minimized. We report the results of a detailed experimental analysis of 275 ultra-shallow boron, BF2, and arsenic as-implanted profiles, and the development of an accurate and computationally efficient model for ultra-shallow B, BF2, and As implants. The ultra-shallow dopant profiles have been modeled by using the Dual-Pearson approach, which employs a weighted sum of two Pearson functions to simulate the profiles. The computationally efficient model covers the following range of implant parameters: implant species B, BF2, As; implant energies from 1 keV to 15 keV; any dose; tilt angles from 0° to 10°; all rotation angles (0°-360°). This experimental analysis is important for the development of scaled devices with ultra-shallow junctions, and the computationally efficient model will enable process simulators to predict ultra-shallow as-implanted profiles accurately
Keywords :
arsenic; boron; boron compounds; channelling; doping profiles; elemental semiconductors; ion implantation; semiconductor process modelling; silicon; 1 to 15 keV; Dual-Pearson model; Pearson function; Si:As; Si:B; Si:BF2; channeling; computational model; integrated circuit technology; low energy ion implantation; process simulation; semiconductor material processing; ultra-shallow dopant profile; Boron; Computational modeling; Implants; Integrated circuit technology; Ion implantation; Mass spectroscopy; Microelectronics; Predictive models; Semiconductor process modeling; Silicon;
Conference_Titel :
Ion Implantation Technology. Proceedings of the 11th International Conference on
Conference_Location :
Austin, TX
Print_ISBN :
0-7803-3289-X
DOI :
10.1109/IIT.1996.586444