A comprehensive and computationally efficient modeling strategy for the rapid and accurate simulation of implanted impurity distribution profiles in single‐crystal silicon has been developed. This modeling strategy exploits the advantages of both Monte Carlo simulation and semi‐empirical models by combining the two approaches in a complementary manner. The dual Pearson semi‐empirical model is used to accurately and efficiently model the dose and implant angle dependence of impurity profiles as well as the dependence on energy. This new comprehensive model allows convenient and accurate simulation of implanted boron distribution profiles in single‐crystal silicon as a function of dose, tilt angle, and rotation angle, in addition to ion energy, and it has been demonstrated by implementation in the process simulation code SUPREM III.
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1 April 1991
Review Article|
April 01 1991
A COMPREHENSIVE AND COMPUTATIONALLY EFFICIENT MODELING STRATEGY FOR SIMULATION OF BORON ION IMPLANTATION INTO SINGLE‐CRYSTAL SILICON WITH EXPLICIT DOSE AND IMPLANT ANGLE DEPENDENCE Available to Purchase
Changhae Park;
Changhae Park
Microelectronics Research Center, The University of Texas, Austin, Texas 78712
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Kevin M. Klein;
Kevin M. Klein
Microelectronics Research Center, The University of Texas, Austin, Texas 78712
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Al F. Tasch;
Al F. Tasch
Microelectronics Research Center, The University of Texas, Austin, Texas 78712
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Robert B. Simonton;
Robert B. Simonton
Eaton Corporation, Austin, TX 78758
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Steve Novak;
Steve Novak
Charles Evans and Associates, Redwood City, CA 94063
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Gayle Lux
Gayle Lux
Charles Evans and Associates, Redwood City, CA 94063
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Publisher: Emerald Publishing
Online ISSN: 2054-5606
Print ISSN: 0332-1649
© MCB UP Limited
1991
COMPEL (1991) 10 (4): 331–340.
Citation
Park C, Klein KM, Tasch AF, Simonton RB, Novak S, Lux G (1991), "A COMPREHENSIVE AND COMPUTATIONALLY EFFICIENT MODELING STRATEGY FOR SIMULATION OF BORON ION IMPLANTATION INTO SINGLE‐CRYSTAL SILICON WITH EXPLICIT DOSE AND IMPLANT ANGLE DEPENDENCE". COMPEL, Vol. 10 No. 4 pp. 331–340, doi: https://doi.org/10.1108/eb051710
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