The purpose of this paper is to present a daiiipiiig algorithm for a Newton solver based 011 physical ratlier tliati iiiatlieiiiatical coiisiderations. Its perforiiiaiice will be coiiipared with a iiiore conventional technique [I]. Special attention is paid to siiiiulatiiig SO1 (silicon-011-iiisulator) with a floating substrate. Simple examples will be used to illustrate the nature of the ill-conditioning of this class of problems. Results will slioiv that the coiivergeiice criteria must be iiiucli tighter t liaii for coiiveiitioiial CMOS technologies otlierwise the terminal curreiits could be incorrectly evaluated.A standard technique for solving the classical semiconductor device equations is t o discretise them on a finite element or finite difference mesh and then linearise the terms a t each o f the grid points. These equations are then assembled into the linear system where the Jacobian A contains the derivatives of the equations with respect t o the variables, -b is the value of the equations at each node using the present variables and N is the update vector for these variables. This is solved iteratively, by Newton's method, until b and ic are sufficiently small t o within given convergence criteria.In practise, if Poisson and the current continuity equations are solved simultaneously, the Newton loop requires damping t o prevent divergence occuring. A very successful technique for doing this was developed by Bank and Rose [l]. In their method, only the fraction of the update that reduces the norm of the function b is accepted. Convergence is guaranteed using this algorithm. However, it is often possible to find a quicker -1;. Dr llryrr is a Resrarrh Associate of tlw Natioiial Funrl for Si:imtifiC Research (YFWO) of 8rlqiiiii; and Profrssor at the 1C.Y Letwen 174
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.