In recent years electron devices based on ferroelectric materials have attracted a lot of interest well beyond FeRAM memories. Negative capacitance transistors (NC-FETs) have been investigated as steep slope transistors [1], [2], and Ferroelectric FETs (Fe-FETs) are under intense scrutiny also as synaptic devices for neuromorphc computing, where the minor loops in ferroelectrics can allow to achieve multiple values of conductance in read mode [3], [4], [5]. Furthermore, the persistence of ferroelectricity in ultra-thin ferroelectric layers paved the way to ferroelectric tunnelling junctions [6], where a polarization dependent tunneling current can be exploited to realize high impedance memristors, amenable for ultra power-efficient and thus massive parallel computation.
Accurate and Efficient Dynamic Simulations of Ferroelectric Based Electron Devices
T. Rollo
;D. Esseni
2019-01-01
Abstract
In recent years electron devices based on ferroelectric materials have attracted a lot of interest well beyond FeRAM memories. Negative capacitance transistors (NC-FETs) have been investigated as steep slope transistors [1], [2], and Ferroelectric FETs (Fe-FETs) are under intense scrutiny also as synaptic devices for neuromorphc computing, where the minor loops in ferroelectrics can allow to achieve multiple values of conductance in read mode [3], [4], [5]. Furthermore, the persistence of ferroelectricity in ultra-thin ferroelectric layers paved the way to ferroelectric tunnelling junctions [6], where a polarization dependent tunneling current can be exploited to realize high impedance memristors, amenable for ultra power-efficient and thus massive parallel computation.File | Dimensione | Formato | |
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