通过2D铁电/TMD异构结构实现超低能耗的非易失相调
Lalit Singh1, Shi Guo1, Yuhui Yang1
1School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|January 28, 2026
概括
研究人员使用一种新的二维铁电材料开发了一种用于光子内存计算的紧,低损耗相调节器. 该设备提供了超低能耗和多级内存,为高效的光学神经网络铺平了道路.
科学领域:
- 材料科学 材料科学 材料科学
- 光子学 是一个光子学.
- 计算机工程 计算机工程
背景情况:
- 非挥发性,低损耗相调和低能耗对于光子内存计算至关重要.
- 现有的光子记忆解决方案通常需要很大的足迹,导致高插入损失和能源使用.
- 需要新的材料和设备架构来克服这些局限性.
研究的目的:
- 为了展示一个紧的,非挥发性相调节器,用于光子内存计算的超低能耗.
- 为了利用二维铁电材料进行高效的光学索引调整.
- 展示该设备在光学神经网络中的潜力.
主要方法:
- 在SiN微环共振器上制造一个由WS2/CIPS/石墨烯组成的异构结构装置.
- 在CuInP2S6 (CIPS) 中利用Cu+诱导的偏振来对WS2折射率进行静电调整.
- 切换能量的表征,写入速度,插入损失,内存保留和多级别存储能力.
主要成果:
- 展示了一种紧的非挥发性相调节器,具有超低的切换能量 (2.5 pJ/周期) 和插入损耗 (0.2 dB).
- 实现了5V/μs的快速写入速度和稳定的8位多级内存,预计保留时间>10年.
- 将调制器集成到光学神经网络中,在MNIST手写数字识别上达到92%的准确性.
结论:
- 开发的WS2/CIPS/石墨烯异构结构为高性能光子内存计算提供了一个有前途的解决方案.
- 该设备的紧尺寸,低能耗和非挥发性多级内存是其关键优势.
- 这项工作为开发高效的硬件加速神经网络建立了新的途径.
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