Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, South Korea.
Electrical and Computer Engineering Department, University of California San Diego, San Diego, California 92093, United States.
ACS Appl Mater Interfaces. 2020 Aug 26;12(34):38299-38305. doi: 10.1021/acsami.0c07394. Epub 2020 Aug 12.
The long-term plasticity of biological synapses was successfully emulated in an artificial synapse fabricated by combining low-surface defect van der Waals (vdW) and self-assembled (SA) materials. The synaptic operation could be achieved by facilitating hole trapping and releasing only via the amine (NH) functional groups in 3-aminopropyltriethoxysilane, which consequently induced a gradual conductance change in the WSe channel. The vdW-SA synaptic device exhibited extremely stable long-term potentiation/depression (LTP/LTD) characteristics; its dynamic range and nonlinearity reproduced near 100 and 3.13/-6.53 (for LTP/LTD) with relative standard deviations (RSDs) below 2%. Furthermore, after conducting training and recognition tasks for the Modified National Institute of Standard and Technology (MNIST) digit patterns, we verified that the maximum recognition rate was 78.3%, and especially, its RSD was as low as 0.32% over several training/recognition cycles. This study provides a background for future research on advanced artificial synapses based on vdW and organic materials.
通过结合低表面缺陷范德华（vdW）和自组装（SA）材料，成功模拟了生物突触的长期可塑性。通过在 3-氨丙基三乙氧基硅烷中的胺（NH）官能团仅促进空穴捕获和释放，就可以实现突触操作，这导致 WSe 通道的电导逐渐变化。vdW-SA 突触器件表现出极其稳定的长时程增强/抑制（LTP/LTD）特性；其动态范围和非线性度分别接近 100 和 3.13/-6.53（用于 LTP/LTD），相对标准偏差（RSD）低于 2%。此外，在对修改后的国家标准与技术研究所（MNIST）数字模式进行训练和识别任务后，我们验证了最高识别率为 78.3%，特别是在几个训练/识别循环中，其 RSD 低至 0.32%。这项研究为基于 vdW 和有机材料的先进人工突触的未来研究提供了背景。
