標題: Impact of the Crystal Phase of ZrO2 on Charge Trapping Memtransistor as Synaptic Device for Neural Network Application
作者: Chou, Yu-Che
Tsai, Chien-Wei
Yi, Chin-Ya
Chung, Wan-Hsuan
Chien, Chao-Hsin
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: Germanium;high-kappa dielectrics;multilayer perceptron;neural network hardware;synaptic device;zirconium oxide
公開日期: 1-一月-2020
摘要: 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-Zr-O2 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 Delta E-C of t- and p-ZrO2 with respect to tunneling and blocking Al2O3 were 1.84 and 1.19 eV respectively. Because of the relatively large Delta E-C of t-ZrO2, the window of the flat band voltage (V-FB) 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 10(5) 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 (ad) and potentiation (ap) 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.
URI: http://dx.doi.org/10.1109/JEDS.2020.2993859
http://hdl.handle.net/11536/154965
ISSN: 2168-6734
DOI: 10.1109/JEDS.2020.2993859
期刊: IEEE JOURNAL OF THE ELECTRON DEVICES SOCIETY
Volume: 8
起始頁: 572
結束頁: 576
顯示於類別:期刊論文