Page 51 - Sami Franssila Introduction to Microfabrication
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30 Introduction to Microfabrication




                                                        Gate


                                    t  =               25 nm
                                     ox
                                    1.5 nm

                                          Source
                                                                       Drain
                          n-type:     25 nm
                               19
                         2.0 × 10
                               19                                                 y =
                         1.5 × 10                                                 1.2 V
                               19
                         1.0 × 10                 p-type
                           5 × 10 18             1.0 × 10 19                      0.8 V
                                0
                                                                                  0.4 V
                                                                                  0
                                                 5 × 10 18
                                                                      y = −0.4 V
            Figure 3.5 2D simulation: dopant concentration profiles of a 25 nm gate length CMOS transistor. Reproduced from
            Taur, Y. et al. (1998), by permission of IEEE

            from the horizontal surfaces, we need an atomistic  grid spacing, 100 layers need to be calculated. Similar
            simulator.                                   grid size in 2D simulation requires 100 × 100 squares
                                                                              6
                                                           4
              2D simulation is computation intensive, and 2D  (10 ), and in 3D it equals 10 cubes. Roughly speaking,
            simulators usually have a 1D simulation tool embed-  if 1D simulation takes seconds, 2D takes minutes and
            ded in them, for quick and easy initial 1D tests.  3D, hours.
            Saving on the computational time can be in orders  However, a 10 nm grid is no good for 3D simulation
            of magnitude. Grid, or simulation mesh, in a 1D  because 3D simulation is used especially for 100 nm
            simulator, is regular and easy to generate, but in  devices and alike, and perhaps a 1 nm grid is used.
            2D simulators, the mesh generation is much more  But the question is not only computational; additional
            difficult. In order to reduce the computation time,  physical models need to be developed because more and
            a dense grid is used where abrupt changes are  more atomistic models must be used, and the continuum
            expected, and a sparse grid where the gradients are not  approximation fails because of the atomic nature of
            steep. Instead of rectangular grids, triangular grids are  matter. In order to take advantage of 3D-process
            often employed.                              simulation, 3D-device simulators must be used, just as
              Optical lithography simulation is a self-contained  2D-process simulators feed into 2D-device simulators.
            regime in process simulation. Its main modules are  Advanced device simulators must similarly account
            optics, resist photochemistry and development, and its  for the fact that electric current is not a continuous
            main output is resist profile. This will be discussed in  variable, but a stream of charge packets with 1.6 × 10 −19
            Chapter 10.                                  C charge.
                                                           Simulation needs to extend from an atomic scale
                                                         to a reactor scale. On the 1 m scale, simulation is
            3.4 3D SIMULATION
                                                         needed to predict gas flows and temperature distributions
            When scaling to smaller and smaller dimensions con-  inside the reactor; on the micrometre scale, simulation
            tinues, 3D simulation becomes mandatory. A narrow  is needed to predict doping and deposition inside and
            but long transistor can be simulated by a 2D simu-  on microstructures, and an atomic level simulation is
            lator, but a narrow and short transistor with similar  needed for understanding the details of film growth
            dimensions in both x- and y-directions really needs  and diffusion. For thin-film deposition, such a simulator
            3D treatment. Again, complexity and time of simula-  would produce a relation between process parameters
            tion increase drastically over the 2D case. If a 1 µm  and film properties. At present, such a multiscale
            deep layer is simulated in 1D simulator with 10 nm  simulation remains a faraway goal.
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