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 …
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 …
Monolithic 3D integration of 2D materials-based electronics towards ultimate edge computing solutions
Abstract Three-dimensional (3D) hetero-integration technology is poised to revolutionize the
field of electronics by stacking functional layers vertically, thereby creating novel 3D circuity …
field of electronics by stacking functional layers vertically, thereby creating novel 3D circuity …
Flexible Solution‐Processable Black‐Phosphorus‐Based Optoelectronic Memristive Synapses for Neuromorphic Computing and Artificial Visual Perception …
Being renowned for operating with visible‐light pulses and electrical signals, optoelectronic
memristive synaptic devices have excellent potential for neuromorphic computing systems …
memristive synaptic devices have excellent potential for neuromorphic computing systems …
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 …
In‐Memory Computing using Memristor Arrays with Ultrathin 2D PdSeOx/PdSe2 Heterostructure
In‐memory computing based on memristor arrays holds promise to address the speed and
energy issues of the classical von Neumann computing system. However, the stochasticity of …
energy issues of the classical von Neumann computing system. However, the stochasticity of …
Hardware implementation of neuromorphic computing using large‐scale memristor crossbar arrays
Y Li, KW Ang - Advanced Intelligent Systems, 2021 - Wiley Online Library
Brain‐inspired neuromorphic computing is a new paradigm that holds great potential to
overcome the intrinsic energy and speed issues of traditional von Neumann based …
overcome the intrinsic energy and speed issues of traditional von Neumann based …
A highly crystalline single layer 2D polymer for low variability and excellent scalability molecular memristors
Large‐scale growth of highly crystalline single layer 2D polymers (SL‐2DPs) and their
subsequent integration into memristors is key to advancing the development of high‐density …
subsequent integration into memristors is key to advancing the development of high‐density …
Oxygen Vacancy Transition in HfOx‐Based Flexible, Robust, and Synaptic Bi‐Layer Memristor for Neuromorphic and Wearable Applications
In this work, a reliable bilayer flexible memristor is demonstrated using TaOx/HfOx Bi‐layer
(BL) to mimic synaptic characteristics by using oxygen concentration engineering in the …
(BL) to mimic synaptic characteristics by using oxygen concentration engineering in the …
Highly Efficient Invisible TaOx/ZTO Bilayer Memristor for Neuromorphic Computing and Image Sensing
In today's new era, multifunctional devices are most prominent due to their compact design,
reduction in operating cost, and reduced need of being limited to single functional devices …
reduction in operating cost, and reduced need of being limited to single functional devices …