Development of a functional model for the Nanoparticle-Organic Memory transistor

Emerging synapse-like nanoscale devices such as memristive devices and synaptic transistors are of great interest to inspire new circuits or systems and promise adaptability, high density and robustness. We reported recently the Nanoparticle-Organic Memory FET transistor (NOMFET), which exhibits interesting behaviors similar to a biological spiking synapse in neural network. A functional model of NOMFET is presented in this paper, which agrees well with the experimental results. It allows then the reliable conception and simulation of hybrid Nano/CMOS circuits. The model is developed in Verilog-A language and implemented on Cadence Virtuoso platform with Spectre 5.1.41 simulator. An iterative physical model and a number of experimental parameters have been integrated to improve the simulation accuracy.