介绍神经形态计算和内存逻辑操作的光子突触中的奇罗光学活动
Soirik Dan1, Subham Paramanik1, Amlan J Pal1,2
1School of Physical Sciences, Indian Association for the Cultivation of Science, Jadavpur, Kolkata 700032, India.
ACS nano
|May 20, 2024
概括
状矿使手性依赖的光子突触器件能够用于神经形态计算. 这些人造突触,使用循环极化光,执行逻辑操作与性依赖的AND/NOR门函数.
科学领域:
- 材料科学 材料科学 材料科学
- 光电学是指光电子产品.
- 神经形态计算是一种神经形态计算.
背景情况:
- 人工突触装置对于神经形态计算至关重要,通常使用电脉冲或光脉冲.
- 状材料提供了一种新的方法,用于为高级功能量身定制设备特性.
研究的目的:
- 为光子突触装置引入奇拉材料.
- 为了实现手性依赖的神经形态计算和内存逻辑门.
- 使用人工突触模拟复杂的大脑功能.
主要方法:
- 制造双终端设备使用合性岩石.
- 使用循环偏光 (CPL) 刺激以模仿突触功能.
- 由于旋转选择性载体运输,观察电流异质性.
主要成果:
- 化矿设备展示了电气和光突触功能.
- 观察到与外平面载体运输和旋转选择性运输相关的电流异构性.
- 基度依赖的逻辑门:R-设备为 AND,S-设备为 NOR.
结论:
- 状矿对开发手性依赖的人工突触有前途.
- 这些发现为未来的神经形态计算,视觉模拟和人工智能铺平了道路.
- 基于chirality的逻辑运算为内存计算提供了新的策略.
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