SUMMARYIn order to accomplish two-dimensional device simulation with a large number of nodes, in this paper we propose the device-partition method (DPM) to resolve the problem that the memory size of the simulation environment is insufficient. The idea of DPM is that the device can be divided into several parts and a matrix solver only solves one part at a time. DPM uses the iteration method to simulate the device. By continuous iteration, an accurate solution can be obtained. Hence, we use DPM to demonstrate the simulations of the MOSFET and the CMOS inverter. The simulation results of DPM and the coupled method (CM) are nearly approximate and correspond with the theory. Hence, DPM is a suitable method to develop a powerful simulation environment.
SUMMARYIn this paper, we study the decoupled method which requires less memory on semiconductor device simulation. The decoupled method decouples the three equivalent circuits of semiconductor and solves them sequentially. The three equivalent circuits are formed by formulating the three partial differential equations that describe the electrical behaviour of semiconductor. Since the decoupled method solves one equation in each stage, the decoupled method uses one-ninth memory space of the coupled method. When decoupling the three equivalent circuits, the decoupled method yields a boundary condition limitation. In order to overcome the limitation, we propose a compromising partial decoupled method which has complete boundary condition and requires four-ninth memory space of the coupled method. The three methods are compared for computational efficiency and accuracy in the simulation of BJT. The simulation results are identical.
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.