Resistive random access memory (RRAM): an overview of materials, switching mechanism, performance, multilevel cell (MLC) storage, modeling, and applications

F Zahoor, TZ Azni Zulkifli, FA Khanday - Nanoscale research letters, 2020 - Springer
In this manuscript, recent progress in the area of resistive random access memory (RRAM)
technology which is considered one of the most standout emerging memory technologies …

Oxide-based RRAM materials for neuromorphic computing

XL Hong, DJJ Loy, PA Dananjaya, F Tan… - Journal of materials …, 2018 - Springer
In this review, a comprehensive survey of different oxide-based resistive random-access
memories (RRAMs) for neuromorphic computing is provided. We begin with the history of …

[HTML][HTML] Verification and mitigation of ion migration in perovskite solar cells

JW Lee, SG Kim, JM Yang, Y Yang, NG Park - APL materials, 2019 - pubs.aip.org
Metal halide perovskite materials have shown versatile functionality for a variety of
optoelectronic devices. Remarkable progress in device performance has been achieved for …

Promising materials and synthesis methods for resistive switching memory devices: a status review

GU Kamble, AP Patil, RK Kamat, JH Kim… - ACS Applied …, 2023 - ACS Publications
In recent years, the emergence of memory devices, especially resistive random-access
memories (RRAM), has been a front-runner in many technological applications. This is due …

Resistive random access memory: introduction to device mechanism, materials and application to neuromorphic computing

F Zahoor, FA Hussin, UB Isyaku, S Gupta, FA Khanday… - Discover nano, 2023 - Springer
The modern-day computing technologies are continuously undergoing a rapid changing
landscape; thus, the demands of new memory types are growing that will be fast, energy …

[HTML][HTML] Resistive switching in emerging materials and their characteristics for neuromorphic computing

M Asif, A Kumar - Materials Today Electronics, 2022 - Elsevier
Resistive random access memory would be an important component of microelectronics in
the era of big data storage due to its efficient characteristics such as low cost, fast operating …

Recent progress in artificial synaptic devices: materials, processing and applications

F Chen, Y Zhou, Y Zhu, R Zhu, P Guan, J Fan… - Journal of Materials …, 2021 - pubs.rsc.org
Artificial synapses are memristor-based devices mimicking biological synapses, and they
are used in neuromorphic computing systems that process information in a parallel, energy …

Halide perovskites for applications beyond photovoltaics

H Kim, JS Han, J Choi, SY Kim, HW Jang - Small Methods, 2018 - Wiley Online Library
In recent years, halide perovskites have been attracting intense attention as novel materials
for photovoltaic applications due to their high carrier mobility, extraordinarily long carrier …

The strategies of filament control for improving the resistive switching performance

T Li, H Yu, SHY Chen, Y Zhou, ST Han - Journal of Materials Chemistry …, 2020 - pubs.rsc.org
With the rapid application of artificial intelligence in daily life and work, the traditional von
Neumann architecture device faces the limitation of scalability and high energy …

Memristors with biomaterials for biorealistic neuromorphic applications

J Xu, X Zhao, X Zhao, Z Wang, Q Tang, H Xu… - Small …, 2022 - Wiley Online Library
Electronic devices with biomaterials have paved a way toward “green electronics” to create
a sustainable future. Memristors are drawing growing attention with integrated sensing …