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Swarm approach towards better quantum well nanostructure modeling

Particle Swarm Optimization (PSO) Algorithm is employed to determine the optimized system parameters of modulation doped AlxGa1-xAs/GaAs quantum well for better low-power and high frequency response. The mobility (ac and dc) of two-dimensional hot electrons in square quantum well of AlxGa1-xAs/GaAs is computed numerically using heated drifted Fermi-Dirac distribution function and relevant scattering mechanisms. An effectively modeled particle swarm optimization algorithm is used here to get the optimized system parameters for desired high frequency low power consuming and low dimensional devices.