.png){kind=icon}
返回
A study on pattern classifications with MoS2-based CTF synaptic device
.png){kind=icon}
PRE
AI
DOI：10.1016/j.jallcom.2024.173699.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Neuromorphic computing, inspired by the human brain, is a promising candidate for overcoming the von Neumann bottleneck of conventional computing systems. Biological synapses play an important role in transferring signals from pre- to post-synaptic neurons and modulating the connection strength between the two neurons according to the synaptic weight. An artificial synaptic device emulates the biological synaptic weight as the device conductance. In charge trap flash (CTF) memory, the device conductance is manipulated through a tunneling process; and therefore, good tunneling efficiency is important in mimicking the behavior of biological synapses. In this study, we fabricated a MoS2-based CTF device and achieved analog memory performance to demonstrate the biological synaptic function. The tunneling efficiency was improved by using SiO2 and HfO2 as tunneling and blocking oxides, respectively, resulting in a high coupling ratio. The top-gate dielectric engineering device exhibited repetitive synaptic weight plasticity using a voltage pulse train applied to the gate electrode with low cycle-to-cycle and cell-to-cell variations. Finally, a pattern classification accuracy of over 90% was achieved on various datasets through artificial neural network simulations using the CrossSim platform.
Keyword:
Charge trap flash memory
Artificial synaptic device
Artificial neural network
Pattern classification
期刊
IF:
6.3
论文数:
8.3W
被引数:
24.3W
机构
引用论文
Two-Terminal MoS2 Memristor and the Homogeneous Integration with a MoS2 Transistor for Neural Networks用于神经网络的两端MoS2忆阻器和与MoS2晶体管的均匀集成.png)
NANO LETTERS
NANO LETTERSIF9.1
PREAI
分享收藏Simultaneously ultrafast and robust two-dimensional flash memory devices based on phase-engineered edge contacts基于相位工程边缘接触的同时超快和鲁棒的二维闪存器件NATURE COMMUNICATIONS
OAAI
NATURE COMMUNICATIONSIF15.7
OAAI分享收藏A 2D material-based floating gate device with linear synaptic weight update具有线性突触权重更新的基于2D材料的浮栅器件NANOSCALE
NANOSCALEIF5.1
PREAI
分享收藏分享收藏Metaplastic and energy-efficient biocompatible graphene artificial synaptic transistors for enhanced accuracy neuromorphic computing用于增强神经形态计算精度的化生和节能生物相容性石墨烯人工突触晶体管NATURE COMMUNICATIONSOAAI
NATURE COMMUNICATIONSIF15.7
OAAI分享收藏Recent Progress in Artificial Synapses Based on Two-Dimensional van der Waals Materials for Brain-Inspired Computing基于二维范德华材料的人工突触在脑启发计算中的最新进展
PREAI
分享收藏分享收藏
查看更多内容