The recent discovery of ferroelectricity
in pure ZrO2 has drawn much attention, but the information
storage and processing
performances of ferroelectric ZrO2-based nonvolatile devices
remain open for further exploration. Here, a ZrO2 (∼8
nm)-based ferroelectric capacitor using RuO2 oxide electrodes
is fabricated, and the ferroelectric orthorhombic phase evolution
under electric field cycling is studied. A ferroelectric remnant polarization
(2P
r) of >30 μC/cm2,
leakage current density of ∼2.79 × 10–8 A/cm2 at 1 MV/cm, and estimated polarization retention
of >10 years are achieved. When the ferroelectric capacitor is
connected
with a transistor, a memory window of ∼0.8 V and eight distinct
states can be obtained in such a ferroelectric field-effect transistor
(FeFET). Through the conductance manipulation of the FeFET, a high
object image recognition accuracy of ∼93.32% is achieved on
the basis of the CIFAR-10 dataset in the convolutional neural network
(CNN) simulation, which is close to the result of ∼94.20% obtained
by floating-point-based CNN software. These results demonstrate the
potential of ferroelectric ZrO2 devices for nonvolatile
memory and artificial neural network computing.