A novel method for modeling semiconductor by neuro space mapping

The drift-diffusion (DD) model is not accurate for simulation of submicrometer semiconductor devices. Using RBF NN, a neuro space mapping is proposed to DD model parameters. The DD model with mapped parameters can produce accurate simulation results of the hydrodynamic model. Simulations of a n-i-n diode confirm the ability of the proposed method for submicron device simulation.

[1]  Halbert White,et al.  Artificial Neural Networks: Approximation and Learning Theory , 1992 .

[2]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[3]  Michel Nakhla,et al.  The application of neural networks to EM-based simulation and optimization of interconnects in high-speed VLSI circuits , 1997 .

[4]  Ajeet Rohatgi,et al.  Non-isothermal extension of the Scharfetter-Gummel technique for hot carrier transport in heterostructure simulations , 1993, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

[5]  U. Ravaioli,et al.  An improved energy transport model including nonparabolicity and non-Maxwellian distribution effects , 1992, IEEE Electron Device Letters.

[6]  M. Lundstrom.  Fundamentals of carrier transport , 1990 .

[7]  Qi-Jun Zhang,et al.  Neural Networks for RF and Microwave Design , 2000 .

[8]  Marcelino Lázaro,et al.  Neural networks for large- and small-signal modeling of MESFET/HEMT transistors , 2001, IEEE Trans. Instrum. Meas..

[9]  Michael Georgiopoulos,et al.  Applications of Neural Networks in Electromagnetics , 2001 .

[10]  Novel Quantum Hydrodynamic Equations for Semiconductor Devices , 2002 .

[11]  S. Hyakin,et al.  Neural Networks: A Comprehensive Foundation , 1994 .

[12]  William L. Goffe,et al.  SIMANN: FORTRAN module to perform Global Optimization of Statistical Functions with Simulated Annealing , 1992 .

[13]  Denis Barataud,et al.  The use of artificial neural networks in nonlinear microwave devices and circuits modeling: An application to telecommunication system design (invited article) , 1999 .

[14]  Samir El-Ghazaly,et al.  A practical large-signal global modeling simulation of a microwave amplifier using artificial neural network , 2000 .

[15]  P.H. da Fonseca Silva,et al.  Using neural network models for efficient GaAs MESFET time domain nonlinear circuit analysis , 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).