Interpretation of diffusion coefficients in nanostructured materials from random walk numerical simulation

We make use of the numerical simulation random walk (RWNS) method to compute the `` jump'' di. usion coe. cient of electrons in nanostructured materials via mean- square displacement. First, a summary of analytical results is given that relates the di. usion coe. cient obtained from RWNS to those in the multiple- trapping (MT) and hopping models. Simulations are performed in a three- dimensional lattice of trap sites with energies distributed according to an exponential distribution and with a step- function distribution centered at the Fermi level. It is observed that once the stationary state is reached, the ensemble of particles follow Fermi-Dirac statistics with a well- de. ned Fermi level. In this stationary situation the diffusion coe. cient obeys the theoretical predictions so that RWNS e. ectively reproduces the MT model. Mobilities can be also computed when an electrical bias is applied and they are observed to comply with the Einstein relation when compared with steady-state diffusion coefficients. The evolution of the system towards the stationary situation is also studied. When the diffusion coe. cients are monitored along simulation time a transition from anomalous to trap-limited transport is observed. The nature of this transition is discussed in terms of the evolution of electron distribution and the Fermi level. All these results will facilitate the use of RW simulation and related methods to interpret steady-state as well as transient experimental techniques.