Semiconducting-like filament formation in TiN/HfO2/TiN resistive switching random access memories

2012 ◽  
Vol 100 (14) ◽  
pp. 142102 ◽  
Author(s):  
F. De Stefano ◽  
M. Houssa ◽  
J. A. Kittl ◽  
M. Jurczak ◽  
V. V. Afanas’ev ◽  
...  
Author(s):  
Yeon-Joon Choi ◽  
Suhyun Bang ◽  
Tae-Hyeon Kim ◽  
Kyungho Hong ◽  
Sungjoon Kim ◽  
...  

A new physical analysis of the filament formation in Ag conducting-bridge random-access memory (CBRAM) in consideration of the existence of inter-atomic attractions caused by metal bonding is suggested. The movement...


Metals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 772
Author(s):  
Seunghyun Kim ◽  
Osung Kwon ◽  
Hojeong Ryu ◽  
Sungjun Kim

This work demonstrates the synaptic properties of the alloy-type resistive random-access memory (RRAM). We fabricated the HfAlOx-based RRAM for a synaptic device in a neuromorphic system. The deposition of the HfAlOx film on the silicon substrate was verified by X-ray photoelectron spectroscopy (XPS) analysis. It was found that both abrupt and gradual resistive switching could be implemented, depending on the reset stop voltage. In the reset process, the current gradually decreased at weak voltage, and at strong voltage, it tended to decrease rapidly by Joule heating. The type of switching determined by the first reset process was subsequently demonstrated to be stable switching by successive set and reset processes. A gradual switching type has a much smaller on/off window than abrupt switching. In addition, retention maintained stability up to 2000 s in both switching cases. Next, the multiple current states were tested in the gradual switching case by identical pulses. Finally, we demonstrated the potentiation and depression of the Cu/HfAlOx/Si device as a synapse in an artificial neural network and confirmed that gradual resistive switching was suitable for artificial synapses, using neuromorphic system simulation.


2008 ◽  
Vol 93 (22) ◽  
pp. 223505 ◽  
Author(s):  
Jung Won Seo ◽  
Jae-Woo Park ◽  
Keong Su Lim ◽  
Ji-Hwan Yang ◽  
Sang Jung Kang

2018 ◽  
Vol 11 (02) ◽  
pp. 1850038 ◽  
Author(s):  
Shuangsuo Mao ◽  
Xuejiao Zhang ◽  
Bai Sun ◽  
Bing Li ◽  
Shouhui Zhu ◽  
...  

In this work, Ti and SrCoO3 (SCO) have been used for preparing the resistance random access memory (RRAM) with Ti/(SCO/Ag)[Formula: see text]/SCO/Ti ([Formula: see text], 1, 2, 3) structures. It is found that the as-prepared device with Ti/SCO/Ti ([Formula: see text]) structure represents the nonobvious resistive switching effect. However, it displays a more obvious resistive switching effect in the Ti/SCO/Ag/SCO/Ti ([Formula: see text]) device. In particular, a multi-stage switching phenomenon is observed when ultra-thin Ag films was embedded into SrCoO3 multilayer films. Finally, the multi-stage switching effect is explained by the model of conductive filaments formed step-by-step.


2007 ◽  
Vol 124-126 ◽  
pp. 603-606
Author(s):  
Sang Hee Won ◽  
Seung Hee Go ◽  
Jae Gab Lee

Simple process for the fabrication of Co/TiO2/Pt resistive random access memory, called ReRAM, has been developed by selective deposition of Co on micro-contact printed (μ-CP) self assembled monolayers (SAMs) patterns. Atomic Layer Deposition (ALD) was used to deposit TiO2 thin films, showing its ability of precise control over the thickness of TiO2, which is crucial to obtain proper resistive switching properties of TiO2 ReRAM. The fabrication process for Co/TiO2/Pt ReRAM involves the ALD of TiO2 on sputter-deposited Pt bottom electrode, followed by μ-CP with SAMs and then selective deposition of Co. This results in the Co/TiO2/Pt structure ReRAM. For comparison, Pt/TiO2/Pt ReRAM was produced and revealing the similar switching characteristics as that of Co/TiO2/Pt, thus indicating the feasibility of Co replacement with Pt top electrode. The ratios between the high-resistance state (Off state) and the low-resistance state (On state) were larger than 102. Consequently, the selective deposition of Co with μ-CP, newly developed in this study, can simplify the process and thus implemented into the fabrication of ReRAM.


2011 ◽  
Vol 1292 ◽  
Author(s):  
Jung Won Seo ◽  
Seung Jae Baik ◽  
Sang Jung Kang ◽  
Koeng Su Lim

ABSTRACTThis report covers the resistive switching characteristics of cross-bar type semi-transparent (or see-through) resistive random access memory (RRAM) devices based on ZnO. In order to evaluate the transmittance of the devices, we designed the memory array with various electrode sizes and spaces between the electrodes. To prevent read disturbance problems due to sneak currents, we employed a metal oxide based p-NiO/n-ZnO diode structure, which exhibited good rectifying characteristics and high forward current density. Based on these results, we found that the combined metal oxide diode/RRAM device could be promising candidate with suppressed read disturbances of cross-bar type ZnO RRAM device.


2015 ◽  
Vol 36 (2) ◽  
pp. 129-131 ◽  
Author(s):  
Xiaoxin Xu ◽  
Hangbing Lv ◽  
Hongtao Liu ◽  
Tiancheng Gong ◽  
Guoming Wang ◽  
...  

Author(s):  
Meng Qi ◽  
Tianquan Fu ◽  
Huadong Yang ◽  
ye tao ◽  
Chunran Li ◽  
...  

Abstract Human brain synaptic memory simulation based on resistive random access memory (RRAM) has an enormous potential to replace traditional Von Neumann digital computer thanks to several advantages, including its simple structure, high-density integration, and the capability to information storage and neuromorphic computing. Herein, the reliable resistive switching (RS) behaviors of RRAM are demonstrated by engineering AlOx/HfOx bilayer structure. This allows for uniform multibit information storage. Further, the analog switching behaviors are capable of imitate several synaptic learning functions, including learning experience behaviors, short-term plasticity-long-term plasticity transition, and spike-timing-dependent-plasticity (STDP). In addition, the memristor based on STDP learning rules are implemented in image pattern recognition. These results may offer a promising potential of HfOx-based memristors for future information storage and neuromorphic computing applications.


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