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A New Approach to the Fabrication of Memristive Neuromorphic Devices: Compositionally Graded Films

机译:椎间膜神经晶体器件制造的一种新方法:合成梯度薄膜

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摘要

Energy-efficient computing paradigms beyond conventional von-Neumann architecture, such as neuromorphic computing, require novel devices that enable information storage at nanoscale in an analogue way and in-memory computing. Memristive devices with long-/short-term synaptic plasticity are expected to provide a more capable neuromorphic system compared to traditional Si-based complementary metal-oxide-semiconductor circuits. Here, compositionally graded oxide films of Al-doped MgxZn1−xO (g-Al:MgZnO) are studied to fabricate a memristive device, in which the composition of the film changes continuously through the film thickness. Compositional grading in the films should give rise to asymmetry of Schottky barrier heights at the film-electrode interfaces. The g-Al:MgZnO films are grown by using aerosol-assisted chemical vapor deposition. The current-voltage (I-V) and capacitance-voltage (C-V) characteristics of the films show self-rectifying memristive behaviors which are dependent on maximum applied voltage and repeated application of electrical pulses. Endurance and retention performance tests of the device show stable bipolar resistance switching (BRS) with a short-term memory effect. The short-term memory effects are ascribed to the thermally activated release of the trapped electrons near/at the g-Al:MgZnO film-electrode interface of the device. The volatile resistive switching can be used as a potential selector device in a crossbar memory array and a short-term synapse in neuromorphic computing.
机译:超出传统von-neumann架构的节能计算范例,例如神经形态计算,需要新颖的设备,该设备能够以模拟方式和内存计算在纳米级上的信息存储。预期具有长/短期突触可塑性的椎间膜器件,与传统的Si的互补金属氧化物半导体电路相比,提供更有能力的神经族系统。这里,研究了Al掺杂的MgXZN1-XO(G-A1:MgZNO)的合成梯度氧化膜以制造椎间盘装置,其中膜的组成连续地通过膜厚度变化。膜中的组成渐变应导致薄膜电极界面处的肖特基势垒高度的不对称性。通过使用气溶胶辅助化学气相沉积来生长G-Al:MgzNo薄膜。电流 - 电压(I-V)和电容 - 电压(C-V)特性显示出自整流的忆阻行为,其取决于最大施加的电压和反复施加电脉冲。该装置的耐力和保持性能测试显示稳定的双极性电阻切换(BRS),短期内存效果。短期记忆效果归因于近/在G-A1:Mgzno膜电极接口附近的被捕获的电子的热活化释放。挥发性电阻切换可以用作横杆存储器阵列中的电位选择器装置和神经形态计算中的短期突触。

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