Bi2O2Se-Based True Random Number Generator for Security Applications
The fast development of the Internet of things (IoT) promises to deliver convenience to
human life. However, a huge amount of the data is constantly generated, transmitted …
human life. However, a huge amount of the data is constantly generated, transmitted …
Deep neural network analysis models for complex random telegraph signals
Time-fluctuating signals are ubiquitous and diverse in many physical, chemical, and
biological systems, among which random telegraph signals (RTSs) refer to a series of …
biological systems, among which random telegraph signals (RTSs) refer to a series of …
Memristor-based feature learning for pattern classification
T Shi, L Gao, Y Tian, S Tang, J Liu, Y Li, R Zhou… - Nature …, 2025 - nature.com
Inspired by biological processes, feature learning techniques, such as deep learning, have
achieved great success in various fields. However, since biological organs may operate …
achieved great success in various fields. However, since biological organs may operate …
Stochastic current response in diffusive memristor for security applications
Among various emerging information encryption technologies, diffusive memristors play an
important role in such hardware security applications due to their volatile characteristics and …
important role in such hardware security applications due to their volatile characteristics and …
A complex model via phase-type distributions to study random telegraph noise in resistive memories
A new stochastic process was developed by considering the internal performance of macro-
states in which the sojourn time in each one is phase-type distributed depending on time …
states in which the sojourn time in each one is phase-type distributed depending on time …
[HTML][HTML] Implementing hardware primitives based on memristive spatiotemporal variability into cryptography applications
B Liu, Y Zhao, YF Chang, HH Tai, H Liang, TC Chen… - Chip, 2023 - Elsevier
Implementing hardware primitives into cryptosystem has become a new trend in electronic
community. Memristor, with intrinsic stochastic characteristics including the switching …
community. Memristor, with intrinsic stochastic characteristics including the switching …
Study of RTN signals in resistive switching devices based on neural networks
G González-Cordero, MB González, M Zabala… - Solid-State …, 2021 - Elsevier
Abstract Random Telegraph Noise (RTN) in Resistive Random Access Memories (RRAM) is
an important phenomenon both for the investigation of device physics and for reliability …
an important phenomenon both for the investigation of device physics and for reliability …
A physically based SPICE model for RRAMs including RTN
G González-Cordero, MB González… - … on Design of …, 2020 - ieeexplore.ieee.org
A circuital application for a three-digit random number generator is presented at the design
level based on the stochasticity of Random Telegraph Noise (RTN) signals in Resistive …
level based on the stochasticity of Random Telegraph Noise (RTN) signals in Resistive …
Hardware implementation of self-organizing maps using memristors, a simulation study
G Vaquero, F Jiménez–Molinos… - 2022 37th Conference …, 2022 - ieeexplore.ieee.org
Memristors are being widely proposed for hardware implementation of perceptron multilayer
neural networks. In this work, we explore the use of memristors as the elements that store …
neural networks. In this work, we explore the use of memristors as the elements that store …
Synaptic devices based on HfO2 memristors
MB González, M Maestro-Izquierdo, S Poblador… - Mem-elements for …, 2021 - Elsevier
Nanodevices based on resistive switching structures are currently being explored as
potential candidates to mimic biological synapses in neuromorphic systems due to the …
potential candidates to mimic biological synapses in neuromorphic systems due to the …