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 …
organic frameworks (COFs), hydrogen-bonded organic frameworks (HOFs) and zeolites …
Imperfection-enabled memristive switching in van der Waals materials
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 …
and integration capabilities. As a result, they are of potential use in the development of …
Hybrid 2D–CMOS microchips for memristive applications
Exploiting the excellent electronic properties of two-dimensional (2D) materials to fabricate
advanced electronic circuits is a major goal for the semiconductor industry,. However, most …
advanced electronic circuits is a major goal for the semiconductor industry,. However, most …
Standards for the characterization of endurance in resistive switching devices
Resistive switching (RS) devices are emerging electronic components that could have
applications in multiple types of integrated circuits, including electronic memories, true …
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
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 …
in the memory arena over the last two decades. Its dielectric properties have been …
A comprehensive review on emerging artificial neuromorphic devices
The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …
efficiency and ultralow power consumption. In the past few decades, neuromorphic …
Synaptic devices based neuromorphic computing applications in artificial intelligence
Synaptic devices, including synaptic memristor and synaptic transistor, are emerging
nanoelectronic devices, which are expected to subvert traditional data storage and …
nanoelectronic devices, which are expected to subvert traditional data storage and …
Recommended methods to study resistive switching devices
Resistive switching (RS) is an interesting property shown by some materials systems that,
especially during the last decade, has gained a lot of interest for the fabrication of electronic …
especially during the last decade, has gained a lot of interest for the fabrication of electronic …
Anomalous resistive switching in memristors based on two-dimensional palladium diselenide using heterophase grain boundaries
The implementation of memristive synapses in neuromorphic computing is hindered by the
limited reproducibility and high energy consumption of the switching behaviour of the …
limited reproducibility and high energy consumption of the switching behaviour of the …
A review of resistive switching devices: performance improvement, characterization, and applications
As human society enters the big data era, huge data storage and energy‐efficient data
processing are in great demand. The resistive switching device is an emerging device with …
processing are in great demand. The resistive switching device is an emerging device with …