The origin and mitigation of defects induced by metal evaporation in 2D materials

W Zheng, B Yuan, MA Villena, K Zhu, S Pazos… - Materials Science and …, 2024 - Elsevier
Evaporating metallic films on two-dimensional (2D) materials is a necessary process to build
electronic devices, but it produces bond breaking and metal penetration in the 2D material …

Hysteresis, Impedance, and Transients Effects in Halide Perovskite Solar Cells and Memory Devices Analysis by Neuron‐Style Models

J Bisquert - Advanced Energy Materials, 2024 - Wiley Online Library
Halide perovskites are at the forefront of active research in many applications, such as high
performance solar cells, photodetectors, and synapses and neurons for neuromorphic …

Highly efficient back-end-of-line compatible flexible Si-based optical memristive crossbar array for edge neuromorphic physiological signal processing and bionic …

D Kumar, H Li, DD Kumbhar, MK Rajbhar, UK Das… - Nano-Micro Letters, 2024 - Springer
The emergence of the Internet-of-Things is anticipated to create a vast market for what are
known as smart edge devices, opening numerous opportunities across countless domains …

Reliable Memristive Synapses Based on Parylene-MoOx Nanocomposites for Neuromorphic Applications

A Minnekhanov, A Matsukatova… - … Applied Materials & …, 2023 - ACS Publications
Memristive devices, known for their nonvolatile resistive switching, are promising
components for next-generation neuromorphic computing systems, which mimic the brain's …

Nano-crystalline ZnO memristor for neuromorphic computing: Resistive switching and conductance modulation

M Ismail, M Rasheed, C Mahata, M Kang… - Journal of Alloys and …, 2023 - Elsevier
In this work, a nano-crystalline (NC) ZnO-based memristor was fabricated to investigate the
short-term memory characteristics for reservoir computing systems. The crystalline structure …

Unravelling the Data Retention Mechanisms under Thermal Stress on 2D Memristors

S Aldana, H Zhang - ACS omega, 2023 - ACS Publications
Memristors based on two-dimensional (2D) materials are a rapidly growing research area
due to their potential in energy-efficient in-memory processing and neuromorphic …

Hysteresis in memristors produces conduction inductance and conduction capacitance effects

J Bisquert, JB Roldán, E Miranda - Physical Chemistry Chemical …, 2024 - pubs.rsc.org
Memristors are devices in which the conductance state can be alternately switched between
a high and a low value by means of a voltage scan. In general, systems involving a chemical …

Comparative analysis of low-frequency noise based resistive switching phenomenon for filamentary and interfacial RRAM devices

JK Lee, S Kim - Chaos, Solitons & Fractals, 2023 - Elsevier
We investigate the low-frequency noise (LFN) characteristics of resistive switching random
access memory (RRAM) devices with metal–insulator–metal structures of TiN/Ti/TiO 2/TiN …

3D simulation of conductive nanofilaments in multilayer h-BN memristors via a circuit breaker approach

D Maldonado, A Cantudo, FM Gómez-Campos… - Materials …, 2024 - pubs.rsc.org
A 3D simulation of conductive nanofilaments (CNFs) in multilayer hexagonal-BN memristors
is performed. To do so, a simulation tool based on circuit breakers is developed including for …

Dynamical variability, order-chaos transitions, and bursting Canards in the memristive Rulkov neuron model

I Bashkirtseva, L Ryashko - Chaos, Solitons & Fractals, 2024 - Elsevier
The problem of analyzing the mechanisms of variability in neural dynamics caused by
memristive connections is considered. This problem is studied on the base of a neuron …