Graduate Thesis Or Dissertation

 

Monte Carlo device modeling applications on parallel computers Public Deposited

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/fn107168x

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  • One of the ways of countering the ever increasing computational requirements in the simulation and modeling of electrical and electromagnetic devices and phenomena, is the development of simulation and modeling tools on parallel computing platforms. In this thesis, a previously developed Monte Carlo parallel device simulator is utilized, enhanced, and evolved, to render it applicable to the modeling and simulation of certain key applications. A three-dimensional Monte Carlo simulation of GaAs MESFETs is first presented to study small-geometry effects. Then, a finite-difference time-domain numerical solution of Maxwell's equations is developed and coupled to Monte Carlo particle simulation, to illustrate a photoconductive switching experiment. As the third and major application of the Monte Carlo code, high-field electron transport simulations of the ZnS phosphor of AC thin film electroluminescent devices are presented. A full band structure (of ZnS) computed using a nonlocal empirical pseudopotential technique is included in the Monte Carlo simulation. The band structure is computed using a set of form factors, that were tuned to fit experimentally measured critical point transitions in ZnS. The Monte Carlo algorithms pertaining to the full band model are developed. Most of the scattering mechanisms, pertinent to ZnS are included to model the electron kinetics. The hot electron distributions are computed as a function of the electric field in the ZnS phosphor layer, to estimate the percentage of hot electrons that could potentially contribute to excitation of luminescent impurity centers in the ZnS phosphor layer. Impact excitation, a key process in electroluminescence, is included in the Monte Carlo simulation to estimate the quantum yield of the devices. Preliminary results based on the full band k-space model exhibit experimentally observed trends.
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