Engineering Atomic‐Scale Patterning and Resistive Switching in 2D Crystals and Application in Image Processing

L Yin, R Cheng, S Pan, W Xiong, S Chang… - Advanced …, 2023 - Wiley Online Library
The ultrathin thickness of 2D layered materials affords the control of their properties through
defects, surface modification, and electrostatic fields more efficiently compared with bulk …

Design‐Dependent Switching Mechanisms of Schottky‐Barrier‐Modulated Memristors based on 2D Semiconductor

H Zhou, V Sorkin, S Chen, ZG Yu… - Advanced Electronic …, 2023 - Wiley Online Library
For Schottky barrier‐modulated memristors based on 2D semiconductors, it has, to date, not
been possible to achieve control over defect type and concentration as the measured …

Drift speed adaptive memristor model

Y Li, L Xie, P Xiao, C Zheng, Q Hong - Neural Computing and Applications, 2023 - Springer
Different memristive devices have different characteristic curves; how to describe and
simulate various kinds of memristive devices with a unified model is still a significant work. In …

Design and integration of vertical TFET and memristor for better realization of logical functions

J Singh, S Singh, N Paras - Silicon, 2023 - Springer
This paper deals the hybridization of tunnel FET with the memristor for better execution of
combinational and sequential circuits. Here, device structure of vertical tunnel FET and …

Memristor-inspired digital logic circuits and comparison with 90-/180-nm CMOS technologies

M Nawaria, S Kumar, MK Gautam… - … on Electron Devices, 2023 - ieeexplore.ieee.org
Compact low-power devices with ultrafast processing speed are the fundamental building
blocks for the development of the state-of-the-art logic systems and memristor prominently …

Dynamical memristive neural networks and associative self-learning architectures using biomimetic devices

B Zivasatienraj, WA Doolittle - Frontiers in Neuroscience, 2023 - frontiersin.org
While there is an abundance of research on neural networks that are “inspired” by the brain,
few mimic the critical temporal compute features that allow the brain to efficiently perform …

[PDF][PDF] A Zeno Paradox: some well-known nonlinear dopant drift memristor models have infinite resistive switching time

R Mutlu, TD Kumru - Radio Engineering, 2023 - core.ac.uk
There are nonlinear drift memristor models utilizing window functions in the literature. The
resistive memories can also be modeled using memristors. If the memristor's resistance …

Reliable and secure memristor-based chaotic communication against eavesdroppers and untrusted foundries

R Vishwakarma, R Monani, A Hedayatipour… - Discover Internet of …, 2023 - Springer
Chaos is a deterministic phenomenon that occurs in a non-linear dynamic system under
specific condition when the trajectories of the state vector become periodic and extremely …

Demonstration of Pavlov associative memory by implementation of rate coding using magnetic tunnel junction neurons

J Jang, S Lee, W Park - IEEE Transactions on Magnetics, 2023 - ieeexplore.ieee.org
In this article, a fully functioning Pavlov associative memory system, one of the most famous
examples of biological brain function, is implemented by a basis of rate coding. In order to …

Memristive circuit design of mood-dependent memory with learning curve

J Han, Q Wang, Z Chen, J Sun, G Liu… - AEU-International Journal …, 2023 - Elsevier
Mood, as a common psychological activity, has a significant regulatory effect on memory
formation. However, the fact that mood coexists with memory is rarely taken into account in …