An approach based on particle swarm computation to study the electron mobility in wurtzite GaN
The properties of gallium nitride (GaN) make it a promising material for a variety of different electronic and optoelectronic devices. GaN has a wide direct bandgap and a resulting high breakdown field. Further progress in the development, design and optimization of GaN-based devices necessarily requires new theory and modeling techniques that capture the physics of electron transport accurately and efficiently. So, the objective of this work is to provide an optimized analytical model for low- and high-field electron mobility in wurtzite (hexagonal) GaN in wide temperature and concentration ranges basing on the particle swarm optimization (PSO) algorithm. A Monte Carlo transport simulations developed in this work has been evaluated and serve as the basis for the model development. The proposed model describes the dependence of the mobility on carrier concentration, temperature, and electric field. Good agreement between our results and measured data has been obtained. Thus, the presented mobility models can be used in device simulations to design and optimize different GaN device structures.
electron mobility wurtzite gan optimization high-field particle swarm optimization