A soft computing tool, Genetic Algorithm, is employed here to determine the optimized
system parameters of GaAs quantum wells for better high-frequency performance under hot …

The basic intention of this work is to determine the optimum values of the system parameters
of GaAs quantum wells under hot electron condition. The energy loss to LO phonons and the …

Small‐signal ac transport of degenerate two‐dimensional hot electrons in GaAs quantum
wells is studied for lattice temperatures of 77 and 300 K including deformation potential …

Analytical optimization techniques suffer from slow convergence in complex solution space.
Heuristics-based swarm intelligence is an efficient alternative to analytical optimization …

Electrical characteristics of carrier in a quantum well are controlled by system parameters
like quantum well width, spacer layer thickness, doping concentration, lattice temperature …

One-dimensional warm electron coefficient (β) and Ohmic mobility μ₀ in a square quantum
well wire of GaN are studied for lattice temperatures in the range of 4-10 K, which are …

Carrier mobility has become the most important characteristic of high speed low dimensional
devices. Due to development of very fast switching semiconductor devices, speed of …

Particle swarm optimization, an intelligent soft computing tool is employed to determine the
optimized system parameters of GaAs quantum well for better high frequency performance …

The effect of electronic-state modulation on the high frequency response of GaAs quantum
well with thin inserted barrier layer is studied. The carrier scattering by polar optic phonons …

The small‐signal mobility of the two‐dimensional degenerate hot electrons in a square
quantum well of In0. 53Ga0. 47As is calculated in the microwave and millimeterwave …