Abstract

In this paper, we present a Verilog-A based compact model for simulating Ferroelectric Fully Depleted Silicon-on-Insulator (Fe-FDSOI) FET. The model can capture the rich physics of ferroelectric (FE) materials and reproduce the important electrical characteristics, such as history effect, the impact of threshold voltage on pulse width and amplitude as well as potentiation–depression characteristics. The FE switching is modeled using Preisach model to capture the Polarization (P)–Voltage (V) characteristics. In addition, we capture the history-dependent minor loop characteristics to obtain multiple states of polarization. This allows the modeling of multiple conductance states, which forms the fundamental prerequisite for neuromorphic applications as well as multi-level non-volatile memories. The underlying baseline FDSOI FET is modeled using the industry-standard BSIM-IMG compact model. The model is then augmented with the physics-based model of FE capacitor to realize Fe-FDSOI FET. Our model is computationally efficient and carefully calibrated to reproduce experimental measurement data.

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