A basis for understanding the desired and undesired effects on topography simulation during the semiconductor manufacturing processes was presented. The techniques for overcoming the undesired problems were discussed and were used for obtaining an etching profile with minmal corner rounding, for instance.
In order to obtain the best model for the deposition processes, different physical models were tested by using SIESTA which uses the inverse modeling technique. This helped to model two important processes, namely, the deposition of the silicon dioxide from TEOS and silicon nitride. These deposition processes were used to simulate the capacitances which contribute to the timing delays in interconnect lines. The final capacitance calculation was done by joining ELSA and RCX tools. The significant influence of void formation on the capacitances was quantified, as using voids in a controlled and reproducible manner can be an economically advantageous substitute for low- materials.
Furthermore the optimized parameters of the deposition models obtained by SIESTA were used in the three-dimensional topography simulator to predict the void chracteristics during interconnect processes. These characteristics enabled to set layout design rules depending on geometrical parameters to avoid the formation of cracks.
Finally a new level set based method to generate structurally aligned grids while guaranteeing quality criteria of the triangulation was presented. It provides a lot of flexibility, since the resolution and anisotropy of the grid is customizable and the diameter of the triangles may vary over several orders of magnitude within one simulation domain.
Having a full three-dimensional process tool capable of the simulation of the whole process steps is becoming more and more important. Topography simulation is a very essential issue in the simulation of most of process steps. Therefore, the topography simulator has to be integrated into a fully three-dimensional process tool. In addition, the different physical models proposed and implemented in the future in ELSA will also be incorporated into a fully three-dimensional process tool.
Finally, the two- and three-dimensional development and implementation of a multi level set algorithm are planed. This is, for instance, absolutely essential for the simulation of plasma etching processes where different regions of materials and masks have to be defined. Furthermore, a multi level set appraoch has to be used for the simulation of growing a number of crystals. Each individual crystal grows until it hits another crystal, forming a grain boundary. The detection of a grain boundary and its later moving need to be handeld with multi level set method.