Superior Retention of Low-Resistance State in Conductive Bridge Random Access Memory With Single Filament Formation

2015 ◽  
Vol 36 (2) ◽  
pp. 129-131 ◽  
Author(s):  
Xiaoxin Xu ◽  
Hangbing Lv ◽  
Hongtao Liu ◽  
Tiancheng Gong ◽  
Guoming Wang ◽  
...  
Nanomaterials ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1709 ◽  
Author(s):  
Hyojong Cho ◽  
Sungjun Kim

Here, we present the synaptic characteristics of AlN-based conductive bridge random access memory (CBRAM) as a synaptic device for neuromorphic systems. Both non-volatile and volatile memory are observed by simply controlling the strength of the Cu filament inside the AlN film. For non-volatile switching induced by high compliance current (CC), good retention with a strong Cu metallic filament is verified. Low-resistance state (LRS) and high-resistance state (HRS) conduction follow metallic Ohmic and trap-assisted tunneling (TAT), respectively, which are supported by I–V fitting and temperature dependence. The transition from long-term plasticity (LTP) to short-term plasticity (STP) is demonstrated by increasing the pulse interval time for synaptic device application. Also, paired-pulse facilitation (PPF) in the nervous system is mimicked by sending two identical pulses to the CBRAM device to induce STP. Finally, potentiation and depression are achieved by gradually increasing the set and reset voltage in pulse transient mode.


2017 ◽  
Vol 122 (2) ◽  
pp. 024503 ◽  
Author(s):  
C. Nail ◽  
P. Blaise ◽  
G. Molas ◽  
M. Bernard ◽  
A. Roule ◽  
...  

2021 ◽  
Vol 23 (10) ◽  
pp. 5975-5983
Author(s):  
Jie Hou ◽  
Rui Guo ◽  
Jie Su ◽  
Yawei Du ◽  
Zhenhua Lin ◽  
...  

In this study, at least three kinds of VOs and conductive filaments with low resistance states and forming and set voltages are found for β-Ga2O3 memory. This suggests the great potential of β-Ga2O3 memory for multilevel storage application.


2015 ◽  
Vol 106 (15) ◽  
pp. 159901
Author(s):  
Meiyun Zhang ◽  
Shibing Long ◽  
Guoming Wang ◽  
Xiaoxin Xu ◽  
Yang Li ◽  
...  

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