This work focuses on some of the most relevant numerical issues in the solution of the drift-diffusion model for semiconductor devices. The drift-diffusion model consists of an elliptic and two parabolic partial differential equations which are nonlinearly coupled. A reliable numerical approximation of this model unavoidably leads to choose a suitable tessellation of the computational domain as well as specific solvers for linear and nonlinear systems of equations. These are the two main issues tackled in this work, after introducing a classical discretization of the drift-diffusion model based on finite elements. Numerical experiments are also provided to investigate the performances both of up-to-date and of advanced numerical procedures.
Aurelio Giancarlo Mauri, B.M. (2023). Grid generation and Algebraic solvers. Springer Nature Switzerland : Springer nature [10.1007/978-3-030-79827-7].
Grid generation and Algebraic solvers
Benedetta MoriniSecondo
Membro del Collaboration Group
;Fiorella Sgallari
Ultimo
Membro del Collaboration Group
2023
Abstract
This work focuses on some of the most relevant numerical issues in the solution of the drift-diffusion model for semiconductor devices. The drift-diffusion model consists of an elliptic and two parabolic partial differential equations which are nonlinearly coupled. A reliable numerical approximation of this model unavoidably leads to choose a suitable tessellation of the computational domain as well as specific solvers for linear and nonlinear systems of equations. These are the two main issues tackled in this work, after introducing a classical discretization of the drift-diffusion model based on finite elements. Numerical experiments are also provided to investigate the performances both of up-to-date and of advanced numerical procedures.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
