Permanent Strain Engineering of Molybdenum Disulfide Using Laser-Driven Stressors for Energy-Efficient Resistive Switching Memory Devices DOI Creative Commons
Heeyoon Jang, Seok‐Ki Hyeong, Byeongjin Park

et al.

Nanomaterials, Journal Year: 2024, Volume and Issue: 14(23), P. 1872 - 1872

Published: Nov. 22, 2024

Strain engineering provides an attractive approach to enhance device performance by modulating the intrinsic electrical properties of materials. This is especially applicable 2D materials, which exhibit high sensitivity mechanical stress. However, conventional methods, such as using polymer substrates, apply strain have limitations in that temporary and global. Here, we introduce a novel induce permanent localized fabricating stressor on SiO

Language: Английский

Effect of Ni-doped on switching mechanisms and characteristics of ZnO-based memristor: Experimental and first-principles investigations DOI
Hao Wang, Xiaoyi Lei, Zhuqing Liu

et al.

Applied Surface Science, Journal Year: 2024, Volume and Issue: 652, P. 159328 - 159328

Published: Jan. 6, 2024

Language: Английский

Citations

9

Programmable Retention Characteristics in MoS2-Based Atomristors for Neuromorphic and Reservoir Computing Systems DOI
Yoon‐Seok Lee, Yifu Huang, Yao‐Feng Chang

et al.

ACS Nano, Journal Year: 2024, Volume and Issue: 18(22), P. 14327 - 14338

Published: May 20, 2024

In this study, we investigate the coexistence of short- and long-term memory effects owing to programmable retention characteristics a two-dimensional Au/MoS2/Au atomristor device determine impact these on synaptic properties. This is constructed using bilayer MoS2 in crossbar structure. The presence both proposed by filament model within transition-metal dichalcogenide. Short- properties are validated based multilevel tests. Moreover, confirm various device, demonstrating its potential use as neuromorphic system. Excitatory postsynaptic current, paired-pulse facilitation, spike-rate-dependent plasticity, spike-number-dependent plasticity applications implemented operating at low-conductance level. Furthermore, potentiation depression exhibit symmetrical high-conductance levels. Synaptic learning forgetting emulated composite plasticity. process artificial neural networks used achieve high pattern recognition accuracy, thereby suitability Finally, physical reservoir with time-dependent inputs realize computing short-term Our study reveals that can be applied intelligence-based utilizing

Language: Английский

Citations

7

Two-dimensional material-based memristive devices for alternative computing DOI Creative Commons

Jey Panisilvam,

Ha Young Lee,

Sujeong Byun

et al.

Nano Convergence, Journal Year: 2024, Volume and Issue: 11(1)

Published: June 27, 2024

Two-dimensional (2D) materials have emerged as promising building blocks for next generation memristive devices, owing to their unique electronic, mechanical, and thermal properties, resulting in effective switching mechanisms charge transport. Memristors are key components a wide range of applications including neuromorphic computing, which is becoming increasingly important artificial intelligence applications. Crossbar arrays an component the development hardware-based neural networks composed 2D materials. In this paper, we summarize current state research on material-based devices utilizing different mechanisms, along with application these crossbar arrays. Additionally, discuss challenges future directions field.

Language: Английский

Citations

5

Advancements in 2D layered material memristors: unleashing their potential beyond memory DOI Creative Commons
Kiran A. Nirmal, Dhananjay D. Kumbhar,

Arul Varman Kesavan

et al.

npj 2D Materials and Applications, Journal Year: 2024, Volume and Issue: 8(1)

Published: Dec. 21, 2024

The scalability of two-dimensional (2D) materials down to a single monolayer offers exciting prospects for high-speed, energy-efficient, scalable memristors. This review highlights the development 2D material-based memristors and potential applications beyond memory, including neuromorphic, in-memory, in-sensor, complex computing. also encompasses challenges future opportunities advancing these technologies, underscoring transformative impact on versatile sustainable electronic devices systems.

Language: Английский

Citations

4

Tuning of Photoinduced Resistive Switching Characteristics of MoS2/PVA Photomemristor via Ultrasonication DOI

Krishma Anand,

Ravneet Kaur, S.K. Tripathi

et al.

Journal of Alloys and Compounds, Journal Year: 2025, Volume and Issue: unknown, P. 179307 - 179307

Published: Feb. 1, 2025

Language: Английский

Citations

0

Research on Resistive Switching Mechanism of SnO2/SnS2 Based Heterojunction Memory Devices DOI Creative Commons
Wenbin Liu, Lifang Hu,

RuoXuan Zhao

et al.

Advanced Electronic Materials, Journal Year: 2025, Volume and Issue: unknown

Published: April 23, 2025

Abstract This study investigates the electrical properties of SnO 2 /SnS heterojunction as interlayer for resistive random access memory (RRAM). In this work, (NH 4 ) Sn S 6 is used a source production heterojunction. The results indicate that annealing temperature increases, composition SnS based thin film changes while cycle‐to‐cycle stability device improved. examined by X‐ray photoelectron spectroscopy (XPS), scanning electronic microscopy (SEM) and atomic force (AFM), which proves formation Devices with exhibited lower operating voltages more uniform switching behavior. RRAM can be repeatedly consistently switched between high‐resistance state low‐resistance over 1000 cycles, long data retention time > × 10 s at room temperature. Meanwhile, explores relationship type neuromorphic simulation human brain. 224 PJ set power 0.4 V pulse shows excellent characteristics. provides vital reference high‐performance long‐lifespan devices.

Language: Английский

Citations

0

Reactive sputtering deposited α-MoO3 thin films for forming-free resistive random-access memory DOI

Zhaoxin Guo,

Xiaoxu Lai,

Wenhui Xu

et al.

Solid-State Electronics, Journal Year: 2025, Volume and Issue: unknown, P. 109130 - 109130

Published: April 1, 2025

Language: Английский

Citations

0

A study on pattern classifications with MoS2-based CTF synaptic device DOI
Yooyeon Jo, Minkyung Kim, Eunpyo Park

et al.

Journal of Alloys and Compounds, Journal Year: 2024, Volume and Issue: 982, P. 173699 - 173699

Published: Jan. 30, 2024

Language: Английский

Citations

3

Enhancing simulation feasibility for multi-layer 2D MoS2 RRAM devices: reliability performance learnings from passive network model DOI
Seonjeong Lee, Yifu Huang, Yao‐Feng Chang

et al.

Physical Chemistry Chemical Physics, Journal Year: 2024, Volume and Issue: 26(31), P. 20962 - 20970

Published: Jan. 1, 2024

While two-dimensional (2D) MoS

Language: Английский

Citations

1

The effects of Hf-doping and thermal treatment on the resistive switching properties of rf magnetron sputtered Sm2(1-x)HfxCe2O7 thin films DOI

Zhi-Min Tu,

Ching-Cheng Huang, Tsung-Hsien Hsu

et al.

Materials Science in Semiconductor Processing, Journal Year: 2024, Volume and Issue: 181, P. 108593 - 108593

Published: June 8, 2024

Language: Английский

Citations

0