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Original Articles

Hybrid Differential Evolution and Particle Swarm Optimization Approach to Surface-Potential-Based Model Parameter Extraction for Nanoscale MOSFETs

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Pages 388-397 | Received 02 Jul 2010, Accepted 20 Sep 2010, Published online: 08 Apr 2011

REFERENCES

  • Arora , N.D. MOSFET Models for VLSI Circuit Simulation: Theory and Practice ; Springer-Verlag : New York , 1993 .
  • Tsividis , Y. Operation and Modeling of the MOS Transistor ; McGraw-Hill : New York , 1999 .
  • Compact Model Council. Available at: http://www.eigroup.org/ cmc/
  • Pao , H.C. ; Sah , C.T. Effects of diffusion current on characteristics of metal-oxide (insulator)-semiconductor transistors . Solid State Electronics 1966 , 9 , 927 – 937 .
  • Brews , J.R. A charge-sheet model of the MOSFET . Solid-State Electronics 1978 , 21 , 345 – 355 .
  • Suetake , M. ; Suematsu , K. ; Nagakura , H. ; Miura-Mattausch , M. ; Mattausch , H.J. ; Kumashiro , S. ; Yamaguchi , T. ; Odanaka , S. ; Nakayama , N. HiSIM: A drift-diffusion-based advanced MOSFET model for circuit simulation with easy parameter extraction. Proc. of Simulation of Semiconductor Processes and Devices (SISPAD) 2000, 261–264.
  • van Langevelde , R. ; Scholten , A.J. , Klaassen , D.B.M. MOS Model 11, level 1101 NL-UR 2002/802, Philips Electron. N. V., 2002. Available at: http://www.nxp.com/models/mos_models/ model11/ (accessed March 15, 2011).
  • Bendix , P. ; Rakers , P. ; Wagh , P. ; Lemaitre , L. ; Grabinski , W. ; McAndrew , C.C. ; Gu , X. ; Gildenblat , G. RF distortion analysis with compact MOSFET models. Proc. of Custom Integrated Circuit Conference 2004; 9–12.
  • Xi , X.J. BSIM5 MOSFET Model. Proc. of Solid-State and Integrated Circuit Technology 2004; 920–923.
  • Gildenblat , G. ; Wang , H. ; Chen , T.L. ; Gu , X. ; Cai , X. SP: An advanced surface-potential-based compact MOSFET model. IEEE Journal of Solid-State Circuits 2004; 1394–1406.
  • Gildenblat , G. ; Xin , Li ; Wu , W. ; Hailing , Wang ; Jha , A. ; van Langevelde , R. ; Smit , G.D.J. ; Scholten , A.J. ; Klaassen , D.B.M. PSP: An Advanced Surface-Potential-Based MOSFET Model for Circuit Simulation . IEEE Trans. on Electron Devices 2006 , 53 , 1970 – 1993 .
  • PSP 102.1 User's Manual Available at: http://pspmodel.asu.edu/ (accessed March 15, 2011).
  • Marquardt , D.W. An algorithm for least squares estimation of nonlinear parameters . Journal of the Society for Industrial and Applied Mathematics 1963 , 11 , 431 – 441 .
  • Doganis , K.; Scharfetter D.L. General optimization and extraction of IC device model parameters . IEEE Trans. Electron Devices 1983 , 30 , 1219 – 1228 .
  • Wang , S.J. ; Lee , J.Y. ; Chang , C.Y. An efficient and reliable approach for semiconductor device parameter extraction . IEEE Trans. Computer-Aided Design 1986 , 6 , 170 – 178 .
  • Sharma , M. ; Arora , N.D. OPTIMA: A nonlinear model parameter extraction program with statistical confidence region algorithms IEEE trans . Computer-Aided Design 1993 , 12 , 982 – 987 .
  • Li , Y. ; Cho , Y.-Y. Intelligent BSIM4 model parameter extraction for Sub-100 nm MOSFETs era . Japanese Journal of Applied Physics 2004 , 43 , 1717 – 1722 .
  • Kennedy , J. ; Eberhart , R. Particle swarm optimization. Proc. of the IEEE International Conference on Neural Networks, Piscataway, NJ, 1995; 1942–1948.
  • Clerc , M. ; Kennedy , J. The particle swarm-explosion, stability, and convergence in multidimensional complex space . IEEE Transactions on Evolutionary Computation 2002 , 6 , 58 – 73 .
  • Storn , R. ; Price , K. Differential evolution- a simple and efficient adaptive scheme for global optimization over continuous spaces . Journal of Global Optimization 1997 , 11 , 341 – 359 .
  • Gamperle , R. ; Dmuller , S. ; Koumoutsakos , P. A parameter study for the differential evolution. Proc. of International Conference on Advances in Intelligent Systems, Fuzzy Systems, Evolutionary Computation, 2002; 293–298.
  • Wang , K. ; Ye , M. Parameter determination of Schottky-barrier diode model using differential evolution . Solid-State Electronics 2009 , 53 , 234 – 240 .
  • Das , S. ; Abraham , A. ; Konar , A. Particle swarm optimization and differential evolution algorithms: Technical analysis . Applications and Hybridization Perspectives, Studies in Computational Intelligence 2008 , 116 , 1 – 38 .
  • Pant , M. ; Thangaraj , R. ; Grosan , C. ; Abraham , A. Hybrid differential evolution – particle swarm optimization algorithm for solving global optimization problems. Proc. IEEE Third International Conference on Digital Information Management 2008, 18–24.
  • Zhanga , C. ; Ning , J. ; Lu , S. ; Ouyang , D. ; Ding , T. A novel hybrid differential evolution and particle swarm optimization algorithm for unconstrained optimization . Operations Research Letters 2009 , 37 , 117 – 122 .
  • Tseng , Y.H. ; Li , Y. A parameter extractor for PSP compact modeling of Nano-CMOS devices. Proc. of IEEE Workshop on Compact Modeling 2008, 61–66.
  • Zhou , Q. ; Yao , W. ; Wu , W. ; Li , X. ; Zhu , Z. ; Gildenblat , G. Parameter extraction for the PSP MOSFET model by the combination of genetic and Levenberg-Marquardt algorithms. Proc. of IEEE ICMTS 2009, 137–142.
  • Li , Y. Parallel genetic algorithm for intelligent model parameter extraction of metal-oxide- semiconductor field effect transistors . Materials and Manufacturing Processes 2009 , 24 , 243 – 249 .
  • Li , Y. Hybrid Intelligent approach for modeling and optimization of semiconductor devices and nanostructures . Computational Material Science 2009 , 45 , 41 – 51 .
  • Goldberg , D.E. Genetic Algorithm in Search, Optimization and Machine Learning ; Addison-Wesley : New York , 1989 .
  • Chelouah , R. ; Siarry , P. A continuous genetic algorithm designed for the global optimization of multimodel functions. Journal of Heuristics 2000. 6, 191–213.
  • Cai , X. ; Wang , H. ; Gu , X. ; Gildenblat , G. ; Bendix , P. Application of the genetic algorithm to compact MOSFET model development and parameter extraction . Nanotech 2003 , 2 , 314 – 317 .
  • Li , Y. ; Cho , Y.Y. ; Wang , C.S. ; Huang , K.Y. A genetic algorithm approach to InGaP/GaAs HBT parameters extraction and RF characterization . Japanese Journal of Applied Physics. 2003 , 42 , 2371 – 2374 .
  • Li , Y. An automatic parameter extraction technique for advanced CMOS device modeling using genetic algorithm . Microelectronic Engineering 2007 , 84 , 260 – 272 .
  • Li , Y. ; Yu , S.-M. A coupled-simulation-and-optimization approach to nanodevice fabrication with minimization of electrical characteristics fluctuation . IEEE Transactions on Semiconductor Manufacturing 2007 , 20 , 432 – 438 .
  • Li , Y. Hybrid intelligent approach for modelling and optimization of semiconductor devices and nanostructures . Computational Materials Science 2009 , 45 , 41 – 51 .
  • Li , Y. ; Yu , S.-M. ; Li , Y.-L. Intelligent optical proximity correction using genetic algorithm with model- and rule-based approaches . Computational Materials Science 2009 , 45 , 65 – 76 .
  • Paszkowicz , W. Genetic algorithms, a nature-inspired tool: Survey of applications in materials science and related fields . Materials and Manufacturing Processes 2009 , 24 , 174 – 197 .
  • Chakraborti , N. ; Das , S. ; Jayakanth , R. ; Pekoz , R. ; Erkoç , Ş. Genetic algorithms applied to Li +ions contained in carbon nanotubes: An investigation using particle swarm optimization and differential evolution along with molecular dynamics . Materials and Manufacturing Processes 2007 , 22 , 562 – 569 .

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