Cutting Edge Nanotechnology by Dragica Vasileska (ed.)

By Dragica Vasileska (ed.)

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The number of simulated particles in the model contributes significantly to the smoothness of the variables being transferred to the energy balance solver. Within each “outer iteration” we solve the Boltzmann Transport equation for the electrons using the Ensemble Monte Carlo (EMC) method for a time period of 10 ps to ensure that steady state conditions have been achieved. The required variables are then passed to the thermal solver which gives the updated optical and acoustic phonon temperatures.

Lyding, J. , Hess, K. & Kizilyalli, I. C. (1996) Reduction of hot electron degradation in MOS transistors by deuterium processing. Appl. Phys. , vol. 68, pp. 2526-2528. Pantelides, S. , Rashkeev, S. , Fleetwood, D. M. & Schrimpf, R. D. (2000). Reactions of hydrogen with Si-SiO2 interfaces. IEEE Trans. Nucl. , vol. 47, no. 6, pp. 2262-2268. , Kumar, R. & . Singh, S. N. (2005) Optimum hydrogen passivation by PECVD Si3N4 deposited crystalline silicon solar cells. Photovoltaic Specialist Conference, p.

Case 3: Phonon-model. Under thermal non-equilibrium conditions a system of two phonons is used as represented later in the text. In this case, the ‘lattice’ temperature is taken to be the acoustic phonon temperature TA, because this is the mode responsible for diffusion. The energy balance equations for the acoustic and optical modes were for the first time derived by Majumdar and co-workers starting from the phonons Boltzmann transport equation. In all our investigations we have pursued this approach for the description of the phonon bath.

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