A review of resistive switching devices: performance improvement, characterization, and applications

T Shi, R Wang, Z Wu, Y Sun, J An, Q Liu - Small Structures, 2021‏ - Wiley Online Library
As human society enters the big data era, huge data storage and energy‐efficient data
processing are in great demand. The resistive switching device is an emerging device with …

Stimuli‐responsive memristive materials for artificial synapses and neuromorphic computing

H Bian, YY Goh, Y Liu, H Ling, L **e… - Advanced Materials, 2021‏ - Wiley Online Library
Neuromorphic computing holds promise for building next‐generation intelligent systems in a
more energy‐efficient way than the conventional von Neumann computing architecture …

Memory materials and devices: From concept to application

Z Zhang, Z Wang, T Shi, C Bi, F Rao, Y Cai, Q Liu… - InfoMat, 2020‏ - Wiley Online Library
Memory cells have always been an important element of information technology. With
emerging technologies like big data and cloud computing, the scale and complexity of data …

Memristive synapses and neurons for bioinspired computing

R Yang, HM Huang, X Guo - Advanced Electronic Materials, 2019‏ - Wiley Online Library
To realize highly efficient neuromorphic computing that is comparable to biological
counterparts, bioinspired computing systems, consisting of biorealistic artificial synapses …

Recent advances in memristive materials for artificial synapses

SG Kim, JS Han, H Kim, SY Kim… - Advanced materials …, 2018‏ - Wiley Online Library
Neuromorphic architectures are in the spotlight as promising candidates for substituting
current computing systems owing to their high operation speed, scale‐down ability, and …

Realization of future neuro-biological architecture in power efficient memristors of Fe3O4/WS2 hybrid nanocomposites

F Ghafoor, M Ismail, H Kim, M Ali, S Rehman… - Nano Energy, 2024‏ - Elsevier
The future generation of digital technology will heavily rely on power efficient non-volatile
resistive memory systems as a potential alternative to flash memory due to its limitations in …

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 …

Analog and digital bipolar resistive switching in solution-combustion-processed NiO memristor

Y Li, J Chu, W Duan, G Cai, X Fan… - … applied materials & …, 2018‏ - ACS Publications
In this study, a NiO-based resistive memristor was manufactured using a solution
combustion method. In this device, both analog and digital bipolar resistive switching were …

Resistive switching properties in memristors for optoelectronic synaptic memristors: deposition techniques, key performance parameters, and applications

R Khan, NU Rehman, S Iqbal, S Abdullaev… - ACS Applied …, 2023‏ - ACS Publications
Due to the fast evolution of information technology, high-speed and scalable memory
devices are being investigated for data storage and data-driven computation. Resistive …