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 …
Memristor-based artificial chips
Memristors, promising nanoelectronic devices with in-memory resistive switching behavior
that is assembled with a physically integrated core processing unit (CPU) and memory unit …
that is assembled with a physically integrated core processing unit (CPU) and memory unit …
Low-voltage ultrafast nonvolatile memory via direct charge injection through a threshold resistive-switching layer
The explosion in demand for massive data processing and storage requires revolutionary
memory technologies featuring ultrahigh speed, ultralong retention, ultrahigh capacity and …
memory technologies featuring ultrahigh speed, ultralong retention, ultrahigh capacity and …
Metaplastic and energy-efficient biocompatible graphene artificial synaptic transistors for enhanced accuracy neuromorphic computing
CMOS-based computing systems that employ the von Neumann architecture are relatively
limited when it comes to parallel data storage and processing. In contrast, the human brain …
limited when it comes to parallel data storage and processing. In contrast, the human brain …
Nanoelectronics Using Metal–Insulator Transition
Metal–insulator transition (MIT) coupled with an ultrafast, significant, and reversible resistive
change in Mott insulators has attracted tremendous interest for investigation into next …
change in Mott insulators has attracted tremendous interest for investigation into next …
A self-rectifying synaptic memristor array with ultrahigh weight potentiation linearity for a self-organizing-map neural network
H Zhang, B Jiang, C Cheng, B Huang, H Zhang… - Nano Letters, 2023 - ACS Publications
Two-terminal self-rectifying (SR)-synaptic memristors are preeminent candidates for high-
density and efficient neuromorphic computing, especially for future three-dimensional …
density and efficient neuromorphic computing, especially for future three-dimensional …
From spintronic memristors to quantum computing
The high-speed development of the Internet of Things and artificial intelligence is
revolutionizing the world in terms of industrial production, environmental protection, medical …
revolutionizing the world in terms of industrial production, environmental protection, medical …
Programming memristor arrays with arbitrarily high precision for analog computing
In-memory computing represents an effective method for modeling complex physical
systems that are typically challenging for conventional computing architectures but has been …
systems that are typically challenging for conventional computing architectures but has been …
Multi-factor-controlled ReRAM devices and their applications
B Sun, G Zhou, T Yu, Y Chen, F Yang… - Journal of Materials …, 2022 - pubs.rsc.org
Resistive random access memory (ReRAM) based on a resistive switching (RS) effect is a
new type of non-volatile memory device that stores information based on the reversible …
new type of non-volatile memory device that stores information based on the reversible …
Multi‐Functional Platform for In‐Memory Computing And Sensing Based on 2D Ferroelectric Semiconductor α‐In2Se3
X Li, S Li, J Tian, F Lyu, J Liao… - Advanced Functional …, 2024 - Wiley Online Library
Abstract 2D layered semiconductors with excellent light− matter interaction and atomic‐
scale thickness have been envisioned as promising candidates for more than Moore and …
scale thickness have been envisioned as promising candidates for more than Moore and …