[HTML][HTML] Memristive devices based on two-dimensional transition metal chalcogenides for neuromorphic computing
Abstract Two-dimensional (2D) transition metal chalcogenides (TMC) and their
heterostructures are appealing as building blocks in a wide range of electronic and …
heterostructures are appealing as building blocks in a wide range of electronic and …
Memristors based on 2D materials as an artificial synapse for neuromorphic electronics
The memristor, a composite word of memory and resistor, has become one of the most
important electronic components for brain‐inspired neuromorphic computing in recent years …
important electronic components for brain‐inspired neuromorphic computing in recent years …
Low-power memristor based on two-dimensional materials
H Duan, S Cheng, L Qin, X Zhang, B Xie… - The Journal of …, 2022 - ACS Publications
The memristor is an excellent candidate for nonvolatile memory and neuromorphic
computing. Recently, two-dimensional (2D) materials have been developed for use in …
computing. Recently, two-dimensional (2D) materials have been developed for use in …
Memristor based on inorganic and organic two-dimensional materials: mechanisms, performance, and synaptic applications
K Liao, P Lei, M Tu, S Luo, T Jiang… - ACS Applied Materials …, 2021 - ACS Publications
A memristor is a two-terminal device with nonvolatile resistive switching (RS) behaviors.
Recently, memristors have been highly desirable for both fundamental research and …
Recently, memristors have been highly desirable for both fundamental research and …
Optoelectronic artificial synapses based on two-dimensional transitional-metal trichalcogenide
The memristor is a foundational device for an artificial synapse, which is essential to realize
next-generation neuromorphic computing. Herein, an optoelectronic memristor based on a …
next-generation neuromorphic computing. Herein, an optoelectronic memristor based on a …
Current status and prospects of memristors based on novel 2D materials
As promising non-volatile memory devices, memristors have received extensive attention
since they can effectively mimic synapses and enable the fabrication of neuromorphic …
since they can effectively mimic synapses and enable the fabrication of neuromorphic …
Recent advances in memristive materials for artificial synapses
Neuromorphic architectures are in the spotlight as promising candidates for substituting
current computing systems owing to their high operation speed, scale‐down ability, and …
current computing systems owing to their high operation speed, scale‐down ability, and …
Recent advances on crystalline materials-based flexible memristors for data storage and neuromorphic applications
Memristors have recently emerged as promising contenders for in-memory computing and
artificial neural networks, attributed to their analogies to biological synapses and neurons in …
artificial neural networks, attributed to their analogies to biological synapses and neurons in …
Towards engineering in memristors for emerging memory and neuromorphic computing: A review
Resistive random-access memory (RRAM), also known as memristors, having a very simple
device structure with two terminals, fulfill almost all of the fundamental requirements of …
device structure with two terminals, fulfill almost all of the fundamental requirements of …
Flexible, Transparent, and Wafer‐Scale Artificial Synapse Array Based on TiOx/Ti3C2Tx Film for Neuromorphic Computing
J Huang, S Yang, X Tang, L Yang, W Chen… - Advanced …, 2023 - Wiley Online Library
A high‐density neuromorphic computing memristor array based on 2D materials paves the
way for next‐generation information‐processing components and in‐memory computing …
way for next‐generation information‐processing components and in‐memory computing …