Bio‐Inspired 3D Artificial Neuromorphic Circuits

X Liu, F Wang, J Su, Y Zhou… - Advanced Functional …, 2022 - Wiley Online Library
Neuromorphic circuits emulating the bio‐brain functionality via artificial devices have
achieved a substantial scientific leap in the past decade. However, even with the advent of …

Application of Memristors in Hardware Security: A Current State‐of‐the‐Art Technology

S Lv, J Liu, Z Geng - Advanced Intelligent Systems, 2021 - Wiley Online Library
Memristors are widely used in hardware security applications. Research progress in
memristor‐based physical unclonable functions (PUFs), random number generators …

[HTML][HTML] Memristor-based PUF for lightweight cryptographic randomness

HM Ibrahim, H Abunahla, B Mohammad… - Scientific reports, 2022 - nature.com
Physical unclonable functions (PUF) are cryptographic primitives employed to generate true
and intrinsic randomness which is critical for cryptographic and secure applications. Thus …

[HTML][HTML] Laser-Fabricated reduced graphene oxide memristors

FJ Romero, A Toral-Lopez, A Ohata, DP Morales… - Nanomaterials, 2019 - mdpi.com
Finding an inexpensive and scalable method for the mass production of memristors will be
one of the key aspects for their implementation in end-user computing applications. Herein …

Stopping Voltage‐Dependent PCM and RRAM‐Based Neuromorphic Characteristics of Germanium Telluride

Y Abbas, SM Ansari, I Taha, H Abunahla… - Advanced Functional …, 2024 - Wiley Online Library
Recently, phase change chalcogenides, such as monochalcogenides, are reported as
switching materials for conduction‐bridge‐based memristors. However, the switching …

An efficient heterogeneous memristive xnor for in-memory computing

MA Lebdeh, H Abunahla, B Mohammad… - … on Circuits and …, 2017 - ieeexplore.ieee.org
Resistive RAM (RRAM) technologies are gaining importance due to their appealing
characteristics, which include non-volatility, small form factor, low power consumption, and …

[HTML][HTML] Integrated graphene oxide resistive element in tunable RF filters

H Abunahla, R Gadhafi, B Mohammad, A Alazzam… - Scientific Reports, 2020 - nature.com
Adaptable communication systems are of great interest as they provide dynamic front end to
accommodate the tunable spectrum management in advanced wireless systems. Memristor …

[HTML][HTML] Exploiting non-idealities of resistive switching memories for efficient machine learning

V Yon, A Amirsoleimani, F Alibart, RG Melko… - Frontiers in …, 2022 - frontiersin.org
Novel computing architectures based on resistive switching memories (also known as
memristors or RRAMs) have been shown to be promising approaches for tackling the …

Bit-plane extracted moving-object detection using memristive crossbar-cam arrays for edge computing image devices

N Dastanova, S Duisenbay, O Krestinskaya… - IEEE …, 2018 - ieeexplore.ieee.org
In this paper, we present the hardware implementation of a novel algorithm for moving-
object detection, which can be integrated with CMOS image sensors. Bit planes of …

Memristor model optimization based on parameter extraction from device characterization data

C Yakopcic, TM Taha, DJ Mountain… - … on Computer-Aided …, 2019 - ieeexplore.ieee.org
This paper presents a memristive device model capable of accurately matching a wide
range of characterization data collected from a tantalum oxide memristor. Memristor models …