.png){kind=icon}
返回
Computing with Injection-Locked Spintronic Diodes
.png){kind=icon}
OA
AI
DOI：10.1103/PhysRevApplied.17.014045.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Spintronic diodes (STDs) are emerging as a technology for the realization of high-performance microwave detectors. The key advantages of such devices are their high sensitivity, capability to work at low input power, and compactness. In this work, we show a possible use of STDs for neuromorphic computing to expand the realm of their functionalities for the implementation of analog multiplication, which is a key operation in convolutional neural networks (CNNs). In particular, we introduce the concept of degree of rectification (DOR) in injection-locked STDs. Micromagnetic simulations are used to design and identify the working range of the STDs for the implementation of the DOR. Previous experimental data confirm the applicability of the proposed solution, which is tested in image processing and in a CNN that recognizes handwritten digits.
期刊
IF:
4.4
论文数:
7.1K
被引数:
2.8W
机构
引用论文
Efficient and self-adaptive in-situ learning in multilayer memristor neural networks多层忆阻器神经网络的高效自适应原位学习.png)
NATURE COMMUNICATIONS
OAAI
NATURE COMMUNICATIONSIF15.7
OAAI分享收藏Terahertz electrical writing speed in an antiferromagnetic memory反铁磁存储器中的太赫兹电写入速度SCIENCE ADVANCESOAAI
SCIENCE ADVANCESIF12.5
OAAI分享收藏Micromagnetic modeling of terahertz oscillations in an antiferromagnetic material driven by the spin Hall effectPHYSICAL REVIEW BOAAI
PHYSICAL REVIEW BIF3.7
OAAI分享收藏
查看更多内容