.png){kind=icon}
返回
Versatile memristor for memory and neuromorphic computing
.png){kind=icon}
OA
AI
DOI：10.1039/d1nh00481f.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The memristor is a promising candidate to implement high-density memory and neuromorphic computing. Based on the characteristic retention time, memristors are classified into volatile and non-volatile types. However, a single memristor generally provides a specific function based on electronic performances, which poses roadblocks for further developing novel circuits. Versatile memristors exhibiting both volatile and non-volatile properties can provide multiple functions covering non-volatile memory and neuromorphic computing. In this work, a versatile memristor with volatile/non-volatile bifunctional properties was developed. Non-volatile functionality with a storage window of 4.0 x 10(5) was obtained. Meanwhile, the device can provide threshold volatile functionalities with a storage window of 7.0 x 10(4) and a rectification ratio of 4.0 x 10(4). The leaky integrate-and-fire (LIF) neuron model and artificial synapse based on the device have been studied. Such a versatile memristor enables non-volatile memory, selectors, artificial neurons, and artificial synapses, which will provide advantages regarding circuit simplification, fabrication processes, and manufacturing costs.
Keyword:
CONDUCTIVE FILAMENT
CUINSE2
THRESHOLD
MOBILITY
ARRAYS
期刊
IF:
6.6
论文数:
1.3K
被引数:
6.3K
机构
引用论文
分享收藏Surface diffusion-limited lifetime of silver and copper nanofilaments in resistive switching devices.png)
NATURE COMMUNICATIONS
OAAI
NATURE COMMUNICATIONSIF15.7
OAAI分享收藏Memristor crossbar arrays with 6-nm half-pitch and 2-nm critical dimensionNATURE NANOTECHNOLOGY
NATURE NANOTECHNOLOGYIF34.9
PREAI
分享收藏Quasi-Hodgkin-Huxley Neurons with Leaky Integrate-and-Fire Functions Physically Realized with Memristive Devices准hodgkin-huxley神经元，具有通过忆阻器件物理实现的泄漏集成和发射功能ADVANCED MATERIALS
ADVANCED MATERIALSIF26.8
PREAI
分享收藏Mimicking Neuroplasticity in a Hybrid Biopolymer Transistor by Dual Modes Modulation通过双模式调制模拟混合生物聚合物晶体管中的神经可塑性
PREAI
分享收藏The coexistence of threshold and memory switching characteristics of ALD HfO2memristor synaptic arrays for energy-efficient neuromorphic computingNANOSCALE
NANOSCALEIF5.1
PREAI
分享收藏
查看更多内容