Synthesis, applications, and prospects of graphene quantum dots: a comprehensive review

A Ghaffarkhah, E Hosseini, M Kamkar, AA Sehat… - Small, 2022 - Wiley Online Library
Graphene quantum dot (GQD) is one of the youngest superstars of the carbon family. Since
its emergence in 2008, GQD has attracted a great deal of attention due to its unique …

Recent advances on graphene quantum dots: from chemistry and physics to applications

Y Yan, J Gong, J Chen, Z Zeng, W Huang… - Advanced …, 2019 - Wiley Online Library
Graphene quantum dots (GQDs) that are flat 0D nanomaterials have attracted increasing
interest because of their exceptional chemicophysical properties and novel applications in …

High‐performance memristor based on 2d layered bioi nanosheet for low‐power artificial optoelectronic synapses

P Lei, H Duan, L Qin, X Wei, R Tao… - Advanced Functional …, 2022 - Wiley Online Library
Artificial optoelectronic synapses with both electrical and light‐induced synaptic behaviors
have recently been studied for applications in neuromorphic computing and artificial vision …

Neuromorphic engineering: from biological to spike‐based hardware nervous systems

JQ Yang, R Wang, Y Ren, JY Mao, ZP Wang… - Advanced …, 2020 - Wiley Online Library
The human brain is a sophisticated, high‐performance biocomputer that processes multiple
complex tasks in parallel with high efficiency and remarkably low power consumption …

Synaptic devices based neuromorphic computing applications in artificial intelligence

B Sun, T Guo, G Zhou, S Ranjan, Y Jiao, L Wei… - Materials Today …, 2021 - Elsevier
Synaptic devices, including synaptic memristor and synaptic transistor, are emerging
nanoelectronic devices, which are expected to subvert traditional data storage and …

Recent progress in three-terminal artificial synapses based on 2D materials: from mechanisms to applications

F Zhang, C Li, Z Li, L Dong, J Zhao - Microsystems & Nanoengineering, 2023 - nature.com
Synapses are essential for the transmission of neural signals. Synaptic plasticity allows for
changes in synaptic strength, enabling the brain to learn from experience. With the rapid …

A MoS2/PTCDA Hybrid Heterojunction Synapse with Efficient Photoelectric Dual Modulation and Versatility

S Wang, C Chen, Z Yu, Y He, X Chen… - Advanced …, 2019 - Wiley Online Library
Just as biological synapses provide basic functions for the nervous system, artificial synaptic
devices serve as the fundamental building blocks of neuromorphic networks; thus …

A review of resistive switching devices: performance improvement, characterization, and applications

T Shi, R Wang, Z Wu, Y Sun, J An, Q Liu - Small Structures, 2021 - Wiley Online Library
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 …

Semiconductor quantum dots for memories and neuromorphic computing systems

Z Lv, Y Wang, J Chen, J Wang, Y Zhou… - Chemical reviews, 2020 - ACS Publications
The continued growth in the demand of data storage and processing has spurred the
development of high-performance storage technologies and brain-inspired neuromorphic …

Memristive artificial synapses for neuromorphic computing

W Huang, X Xia, C Zhu, P Steichen, W Quan, W Mao… - Nano-Micro Letters, 2021 - Springer
Neuromorphic computing simulates the operation of biological brain function for information
processing and can potentially solve the bottleneck of the von Neumann architecture. This …