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In this chapter, we review the various modeling and simulation techniques used for semiconductor devices, with primary emphasis on those that are useful for ULSI (MOSFETs and BJTs). 1,2 We examine these simulation methods at different levels of complexity and accuracy. First we discuss a fundamentally quantum mechanical picture of what is a complicated, many-body electron transport problem. We shall see what the various approximations are that enable one to reduce this problem to a single-electron Schr6dinger equation, with an "effective" mass to quantummechanically account for the complicated interactions of the electrons with the periodic lattice potential. These electrons with an effective mass, different from the true mass, will be shown to respond to the external potential according to Newtonian dynamics, except for occasional scattering mechanisms. This forms the base of what is called semiclassicalelectron dynamics.3 The carrier concentrations are generally determined on the basis of a parabolic density of states and the quantum-statistical Fermi-Dirac (FD), or classical Maxwell-Boltzmann (MB) distribution function. One can then simulate devices in the semiclassical regime using a single-particle picture with statistical Monte Carlo (MC) techniques. Alternatively, one can form a collective picture of carrier transport based on the evolution of the distribution function according to semiclassical dynamics, which is the Boltzmann transport equation (BTE). Next we will show, with examples drawn from MOSFETs and BJTs, how this treatment simplifies to the conventional device simulation formalism under certain conditions. 1 ,2 Conventional modeling is based on the self-consistent solution of the Poisson equation with the carrier (electron and hole) continuity equations and the drift diffusion equations for current transport. What will become clear from that discussion is how the approximations implicit in conventional device .net pdf 417 PDF - 417 C# Control - PDF - 417 barcode generator with free C# ...
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