Impact of the Crystal Phase of ZrO₂ on Charge Trapping Memtransistor as Synaptic Device for Neural Network Application

Abstract

In this work, we investigated the effects of the crystal phase of ZrO2 on charge trapping memtransistors (CTMTs) as synaptic devices for neural network applications. The ZrO2 deposited through thermal (t-ZrO2) atomic layer deposition (ALD) and plasma (p-ZrO2) ALD were analyzed using an X-ray diffractometer, which indicated that the t-ZrO2 consisted of pure cubic phase, whereas p-ZrO2 consisted of both cubic and tetragonal phases. Through X-ray photoelectron spectroscopy analysis, we then constructed the energy band diagram of the gate stacks. The ΔEC of tand p-ZrO2 with respect to tunneling and blocking Al2O3 were 1.84 and 1.19 eV respectively. Because of the relatively large ΔEC of t-ZrO2, the window of the flat band voltage (VFB) shift extracted from charge trapping capacitors was enlarged by 591.9 mV more than the one using p-ZrO2 as the charge trapping layer. Retention was also improved by 10.4% after 105 s in the t-ZrO2 case. Finally, we fabricated the CTMTs with the gate stack of the t-ZrO2 case and demonstrated their characteristics as synaptic devices. With the optimization of pulse schemes, we reduced the nonlinear factors of depression (αd) and potentiation (αp) from -6.72 and 6.47 to 0.03 and 0.01 respectively, enlarged the ON/OFF ratio from 15.6 to 70.4 and increased the recognition accuracy from 27.6% to 86.5% simultaneously.

Keywords

• Germanium
• κ dielectrics%22%2C%22default_operator%22%3A%22AND%22%7D%7D%7D"> high-<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">κ</italic> dielectrics
• multilayer perceptron
• neural network hardware
• synaptic device
• zirconium oxide