铁电电容器动态小回路研究

Panni Wang, Zheng Wang, Nujhat Tasneem, J. Hur, A. Khan, Shimeng Yu
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引用次数: 2

摘要

基于非易失性存储器(nvm)的内存计算可以通过并行化模拟域的向量矩阵乘法(VMM)运算来加速深度神经网络(dnn)。基于氧化铪锆(HZO)的铁电场效应晶体管(FeFET)作为神经形态计算的突触器件显示出巨大的前景。可以调整ffet通道电导以映射神经网络中的权值。dnn的权值更新规则要求每个突触的权值可以随多能级状态而增加或减少,这可以通过施加正或负电压脉冲来改变HZO材料的极化状态来实现。因此,期望HZO工作在小回路上,而不是只工作在倍化电压(P-V)滞后回路的饱和回路上。为了研究小回路和部分开关动力学,采用原子层沉积(ALD)和后退火法制备了TiN/HZO (10 nm, Hf:Zr=1:1)/TiN电容器结构。我们建立了一个测试方案来测量对应于施加电压序列的实时极化响应。结果表明:增大脉冲幅值和脉冲宽度,极性变化增大;因此,调整栅极脉冲幅度和宽度可以实现多态的ffet通道电导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating Dynamic Minor Loop of Ferroelectric Capacitor
In-memory computing with emerging non-volatile memories (NVMs) can accelerate the deep neural networks (DNNs) by parallelizing vector-matrix multiplication (VMM) operations in the analog domain. Hafnium Zirconium Oxide (HZO) based ferroelectric field-effect transistor (FeFET) shows great promise as a synaptic device for neuromorphic computing. The FeFET channel conductance could be tuned to map the weights in the neural network. DNNs’ weight update rules require that the weight of each synapse can be increased and decreased with multilevel states, which can be realized by applying positive or negative voltage pulses to change the polarization states of the HZO material. Therefore, HZO is expected to work on the minor loop instead of only working on the saturation loop of the ploarizion-voltage (P-V) hysteresis loop. To investigate the minor loop and partial switching dynamics, a TiN/HZO (10 nm, Hf:Zr=1:1)/TiN capacitor structure was fabricated by atomic layer deposition (ALD) with post-annealing. We established a testing protocol to measure the real-time polarization response corresponding to the voltage sequence applied. The results show that the polarity change increases by increasing the pulse amplitude and pulse width. Therefore, tuning the gate pulse amplitude and width could achieve multi-states of FeFET channel conductance.
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