[HTML][HTML] Synthesis, properties, applications, 3D printing and machine learning of graphene quantum dots in polymer nanocomposites

V Dananjaya, S Marimuthu, R Yang, AN Grace… - Progress in Materials …, 2024 - Elsevier
This comprehensive review discusses the recent progress in synthesis, properties,
applications, 3D printing and machine learning of graphene quantum dots (GQDs) in …

Solution-processed memristors: performance and reliability

S Pazos, X Xu, T Guo, K Zhu, HN Alshareef… - Nature Reviews …, 2024 - nature.com
Memristive devices are gaining importance in the semiconductor industry for applications in
information storage, artificial intelligence cryptography and telecommunication. Memristive …

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 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 Network Intrusion Detection System with Broadband WO3–x/WO3–x‐Ag/WO3–x Optoelectronic Memristor

W Yang, H Kan, G Shen, Y Li - Advanced Functional Materials, 2024 - Wiley Online Library
Real‐time intrusion detection system based on the von Neumann architecture struggle to
balance low power consumption and high computing speed. In this work, a strategy for …

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 …

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 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 …

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 …

Memristive artificial synapses for neuromorphic computing

W Huang, X **a, 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 …