Multi-state memristors and their applications: An overview
Memristors show great potential for being integrated into CMOS technology and provide
new approaches for designing computing-in-memory (CIM) systems, brain-inspired …
new approaches for designing computing-in-memory (CIM) systems, brain-inspired …
An electromagnetic perspective of artificial intelligence neuromorphic chips
The emergence of artificial intelligence has represented great potential in solving a wide
range of complex problems. However, traditional general-purpose chips based on von …
range of complex problems. However, traditional general-purpose chips based on von …
[HTML][HTML] An analytical approach to engineer multistability in the oscillatory response of a pulse-driven ReRAM
A nonlinear system, exhibiting a unique asymptotic behaviour, while being continuously
subject to a stimulus from a certain class, is said to suffer from fading memory. This …
subject to a stimulus from a certain class, is said to suffer from fading memory. This …
[HTML][HTML] The State Change Per Cycle Map: a novel system-theoretic analysis tool for periodically-driven ReRAM cells
Memristive devices are the subject of extensive studies nowadays. While the Dynamic Route
Map is a powerful tool for analyzing the response of first-order memristors under DC stimuli …
Map is a powerful tool for analyzing the response of first-order memristors under DC stimuli …
High frequency response of non-volatile memristors
This paper presents an analytical investigation of the transient and steady-state response of
non-volatile memristors to high frequency periodic inputs, using as a case study a-based …
non-volatile memristors to high frequency periodic inputs, using as a case study a-based …
A Compact Model of Threshold Switching Devices for Efficient Circuit Simulations
In this paper, we present a new compact model of threshold switching devices which is
suitable for efficient circuit-level simulations. First, a macro model, based on a compact …
suitable for efficient circuit-level simulations. First, a macro model, based on a compact …
Deep Memristive Cellular Neural Networks for Image Classification and Segmentation
We present simulation results of a deep cellular neural network leveraging memristive
dynamics to classify and segment images from commonly examined datasets. We have …
dynamics to classify and segment images from commonly examined datasets. We have …
A Behavioural Compact Model for Programmable Neuromorphic ReRAM
MM Al Chawa, R Tetzlaff, C Tjortjis… - Proceedings of the 18th …, 2023 - dl.acm.org
In this work, we present a compact memristor model for bipolar neuromorphic ReRAM
devices. The proposed model focuses on a behavioural high level description of the device …
devices. The proposed model focuses on a behavioural high level description of the device …
Deep Memristive Cellular Neural Networks for Image Classification
We present simulation results of a deep cellular neural network leveraging memristive
dynamics to classify images from standard datasets. We have investigated the use of both …
dynamics to classify images from standard datasets. We have investigated the use of both …
A Compact Delay Model for OTS Devices
This paper presents a novel compact delay model of Ovonic Threshold Switch (OTS)
devices that works efficiently for circuit simulations. The internal state variable of the two …
devices that works efficiently for circuit simulations. The internal state variable of the two …