Logic Elements and Crossbar Architecture Based on SOI Two-Gate Ferroelectric Transistors

A two-gate ferroelectric SOI transistor is proposed as the basic element for a content-addressable memory which will ensure the transition from simple crossbar matrices to deep and recurrent neural networks. The FeFET crossbar architecture and Hamming neural network modeling are described. Modeling the proposed Hamming associative memory implementation confirmed its performance.