Geometric Design of Confined Conducting Filaments in Resistive Random Access Memory by Al2O3 Nanodome-Shaped Arrays (NDSAs) via Glancing-Angle Deposition Technology Toward Neuromorphic Computing

2021 ◽  
pp. 1757-1766
Author(s):  
Ying-Chun Shen ◽  
Yu-Chuan Shih ◽  
Yi-Chung Wang ◽  
Kuangye Wang ◽  
Tzu-Yi Yang ◽  
...  
Keyword(s):  
Random Access ◽  
Random Access Memory ◽  
Resistive Random Access Memory ◽  
Glancing Angle Deposition ◽  
Geometric Design ◽  
Access Memory ◽  
Neuromorphic Computing ◽  
Glancing Angle ◽  
Angle Deposition ◽  
Deposition Technology

Organic small molecule-based RRAM for data storage and neuromorphic computing

2020 ◽  
Vol 8 (37) ◽  
pp. 12714-12738 ◽  
Author(s):  
Boyuan Mu ◽  
Hsiao-Hsuan Hsu ◽  
Chi-Ching Kuo ◽  
Su-Ting Han ◽  
Ye Zhou
Keyword(s):  
Small Molecules ◽  
Data Storage ◽  
Small Molecule ◽  
State Of The Art ◽  
Random Access ◽  
Random Access Memory ◽  
Resistive Random Access Memory ◽  
Memory Devices ◽  
Access Memory ◽  
Neuromorphic Computing

Recent state-of-the-art developments related to organic small molecules for resistive random-access memory devices has been emphasized.

Effect of Conductive Filament Temperature on ZrO2 based Resistive Random Access Memory Devices

2020 ◽  
Vol 12 (2) ◽  
pp. 02008-1-02008-4
Author(s):  
Pramod J. Patil ◽  
◽  
Namita A. Ahir ◽  
Suhas Yadav ◽  
Chetan C. Revadekar ◽  
...  
Keyword(s):  
Random Access ◽  
Random Access Memory ◽  
Resistive Random Access Memory ◽  
Memory Devices ◽  
Access Memory ◽  
Conductive Filament ◽  
Filament Temperature

scholarly journals Improved Device Distribution in High-Performance SiNx Resistive Random Access Memory via Arsenic Ion Implantation

Nanomaterials ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1401
Author(s):  
Te Jui Yen ◽  
Albert Chin ◽  
Vladimir Gritsenko
Keyword(s):  
High Performance ◽  
Conduction Mechanism ◽  
Random Access ◽  
Random Access Memory ◽  
Resistive Random Access Memory ◽  
Switching Behavior ◽  
Access Memory ◽  
Current Voltage ◽  
Current Voltage Characteristics ◽  
Limited Conduction

Large device variation is a fundamental challenge for resistive random access memory (RRAM) array circuit. Improved device-to-device distributions of set and reset voltages in a SiNx RRAM device is realized via arsenic ion (As+) implantation. Besides, the As+-implanted SiNx RRAM device exhibits much tighter cycle-to-cycle distribution than the nonimplanted device. The As+-implanted SiNx device further exhibits excellent performance, which shows high stability and a large 1.73 × 103 resistance window at 85 °C retention for 104 s, and a large 103 resistance window after 105 cycles of the pulsed endurance test. The current–voltage characteristics of high- and low-resistance states were both analyzed as space-charge-limited conduction mechanism. From the simulated defect distribution in the SiNx layer, a microscopic model was established, and the formation and rupture of defect-conductive paths were proposed for the resistance switching behavior. Therefore, the reason for such high device performance can be attributed to the sufficient defects created by As+ implantation that leads to low forming and operation power.

First-principles study of resistive random access memory based on single-layer black phosphorous resistive layer

2020 ◽  
Vol 128 (21) ◽  
pp. 215702
Author(s):  
Yuehua Dai ◽  
Jianhua Gao ◽  
Lihua Huang ◽  
Renjie Ding ◽  
Peng Wang ◽  
...  
Keyword(s):  
First Principles ◽  
Random Access ◽  
Single Layer ◽  
Random Access Memory ◽  
Resistive Random Access Memory ◽  
Access Memory ◽  
Resistive Layer ◽  
First Principles Study ◽  
Black Phosphorous

Multilevel oxygen-vacancy conductive filaments in β-Ga2O3 based resistive random access memory

2021 ◽  
Vol 23 (10) ◽  
pp. 5975-5983
Author(s):  
Jie Hou ◽  
Rui Guo ◽  
Jie Su ◽  
Yawei Du ◽  
Zhenhua Lin ◽  
...  
Keyword(s):  
Oxygen Vacancy ◽  
Random Access ◽  
Random Access Memory ◽  
Resistive Random Access Memory ◽  
Access Memory ◽  
Low Resistance ◽  
Multilevel Storage

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.

Sign in / Sign up

Export Citation Format

Share Document