自动供电的化物矿光电子突触记忆器用于可重新配置的逻辑和容器计算应用程序
Dongsheng Cui1,2, Pusheng Guo1, Yumeng Xu1
1State Key Laboratory of Wide-Bandgap Semiconductor Devices and Integrated Technology, School of Microelectronics, Xidian University, 710071, Xi'an, China.
Nano letters
|October 16, 2025
概括
这项研究介绍了用于低功耗神经形态系统的自动供电矿记忆器阵列. 该设备集成了传感,逻辑和计算,使高效的光学突触可塑性和布尔运算能够在接近零功耗的情况下进行操作.
科学领域:
- 材料科学 材料科学 材料科学
- 电气工程 电气工程
- 计算机科学 计算机科学
背景情况:
- 低功耗的神经形态系统需要集成的传感,逻辑,计算和能源自主性.
- 矿材料为先进的设备应用提供独特的光电子特性.
研究的目的:
- 为神经形态计算开发一个自动供电的光电子记忆器阵列.
- 为了展示传感,逻辑和计算功能在单一设备中的集成.
主要方法:
- 一个三酸/三离子矿p-i-n光电子记忆器阵列的制造.
- 利用固有的光伏效应来实现自动供电的光学突触可塑性.
- 实现布尔逻辑运算和储库计算用于模式识别.
主要成果:
- 在520nm实现了自动供电的光学突触可塑性,耗电量接近零.
- 演示了四个可重新配置的布尔逻辑运算 (NOT,XOR,NAND,IMPLY).
- 在使用储库计算的手写数字识别中实现了高分类准确率 (97.94%为1位,90.73%为4位).
结论:
- 开发的矿记忆器阵列协同整合了低功耗神经形态系统的基本功能.
- 这种自动供电的设备为下一代混合数字-模拟集成电路提供了一个新的范式.
- 强调矿光电子在推进节能计算方面的潜力.
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