Porous crystalline materials for memories and neuromorphic computing systems

G Ding, JY Zhao, K Zhou, Q Zheng, ST Han… - Chemical Society …, 2023 - pubs.rsc.org
Porous crystalline materials usually include metal–organic frameworks (MOFs), covalent
organic frameworks (COFs), hydrogen-bonded organic frameworks (HOFs) and zeolites …

Imperfection-enabled memristive switching in van der Waals materials

M Li, H Liu, R Zhao, FS Yang, M Chen, Y Zhuo… - Nature …, 2023 - nature.com
Memristive devices can offer dynamic behaviour, analogue programmability, and scaling
and integration capabilities. As a result, they are of potential use in the development of …

Standards for the characterization of endurance in resistive switching devices

M Lanza, R Waser, D Ielmini, JJ Yang, L Goux… - ACS …, 2021 - ACS Publications
Resistive switching (RS) devices are emerging electronic components that could have
applications in multiple types of integrated circuits, including electronic memories, true …

Hafnium Oxide (HfO2) – A Multifunctional Oxide: A Review on the Prospect and Challenges of Hafnium Oxide in Resistive Switching and Ferroelectric Memories

W Banerjee, A Kashir, S Kamba - Small, 2022 - Wiley Online Library
Hafnium oxide (HfO2) is one of the mature high‐k dielectrics that has been standing strong
in the memory arena over the last two decades. Its dielectric properties have been …

A comprehensive review on emerging artificial neuromorphic devices

J Zhu, T Zhang, Y Yang, R Huang - Applied Physics Reviews, 2020 - pubs.aip.org
The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

Neuromorphic nanoelectronic materials

VK Sangwan, MC Hersam - Nature nanotechnology, 2020 - nature.com
Memristive and nanoionic devices have recently emerged as leading candidates for
neuromorphic computing architectures. While top-down fabrication based on conventional …

2D material based synaptic devices for neuromorphic computing

G Cao, P Meng, J Chen, H Liu, R Bian… - Advanced Functional …, 2021 - Wiley Online Library
The demand for computing power has been increasing exponentially since the emergence
of artificial intelligence (AI), internet of things (IoT), and machine learning (ML), where novel …

Anomalous resistive switching in memristors based on two-dimensional palladium diselenide using heterophase grain boundaries

Y Li, L Loh, S Li, L Chen, B Li, M Bosman, KW Ang - Nature Electronics, 2021 - nature.com
The implementation of memristive synapses in neuromorphic computing is hindered by the
limited reproducibility and high energy consumption of the switching behaviour of the …

Recent advances on neuromorphic devices based on chalcogenide phase‐change materials

M Xu, X Mai, J Lin, W Zhang, Y Li, Y He… - Advanced Functional …, 2020 - Wiley Online Library
Traditional von Neumann computing architecture with separated computation and storage
units has already impeded the data processing performance and energy efficiency, calling …

[HTML][HTML] Brain-inspired computing with memristors: Challenges in devices, circuits, and systems

Y Zhang, Z Wang, J Zhu, Y Yang, M Rao… - Applied Physics …, 2020 - pubs.aip.org
This article provides a review of current development and challenges in brain-inspired
computing with memristors. We review the mechanisms of various memristive devices that …