Investigating Hot-Carrier Effects using the Backward Monte Carlo Method

6 Outlook and Conclusion

This chapter shall discuss possible future implementations and improvements of the work done in this theses. Finally, a conclusion is drawn.

6.1 Possible Further Improvements of the BMC Method

Some of these possible improvements can be applied to the classical MC algorithm, such as using materials other than silicon, additional hole transport or other scattering processes. The self-consistent simulation can be achieved by coupling with a drift-diffusion simulator or with the ensemble MC algorithm. One improvement which could be applied to the BMC method is a combination of the stable and the unstable version of the algorithm.

6.1.1 Combination of Methods

The fact that in the original versions of the BMC algorithm particles tend to higher energies [45, 73] has led to problems, see Section 4.1.2. Thus, the algorithms were unstable. Contrarily, particles in the stable version of the algorithm [62] tend to lower energies. These considerations and their tendency for energy loss/gain are sketched in Fig. 4.3 and Fig. 4.4.

A novel idea for improvement would combine these two methods to keep the particles in a derived energy range shown in Fig. 6.1. This could lead to a significant improvement regarding the variance reduction in this specific energy range. Thus, this combination of methods could be an interesting tool to investigate processes which are more likely to occur in a particular energy range or have an energy threshold.