Recent Developments on Novel 2D Materials for Emerging Neuromorphic Computing Devices

被引:10
作者
Pervez, Muhammad Hamza [1 ]
Elahi, Ehsan [2 ,3 ]
Khan, Muhammad Asghar [2 ]
Nasim, Muhammad [1 ]
Asim, Muhammad [2 ]
Rehmat, Arslan [2 ]
Rehman, Malik Abdul [4 ]
Assiri, Mohammed A. [5 ]
Rehman, Shania [1 ]
Eom, Jonghwa [2 ]
Khan, Muhammad Farooq [6 ]
机构
[1] Sejong Univ, Dept Semicond Syst Engn, Seoul 05006, South Korea
[2] Sejong Univ, Dept Phys & Astron, Seoul 05006, South Korea
[3] Univ Chem & Technol, Dept Inorgan Chem, Prague Tech 5, Prague 616628, Czech Republic
[4] New Uzbekistan Univ, Dept Chem Engn, Tashkent 100007, Uzbekistan
[5] King Khalid Univ, Coll Sci, Dept Chem, POB 9004, Abha 61413, Saudi Arabia
[6] Sejong Univ, Dept Elect Engn, Seoul 05006, South Korea
来源
SMALL STRUCTURES | 2025年 / 6卷 / 02期
基金
新加坡国家研究基金会;
关键词
floating gate memories; memristors; neuromorphic computing; nociceptors; synaptic transistors; 2-DIMENSIONAL MATERIALS; ARTIFICIAL SYNAPSE; BLACK PHOSPHORUS; OLFACTORY SYSTEM; RECENT PROGRESS; HIGH-PRECISION; MEMRISTOR; MEMORY; HETEROSTRUCTURES; INTEGRATION;
D O I
10.1002/sstr.202400386
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The rapid advancement of artificial intelligent and information technology has led to a critical need for extremely low power consumption and excellent efficiency. The capacity of neuromorphic computing to handle large amounts of data with low power consumption has garnered a lot of interest during the last few decades. For neuromorphic applications, 2D layered semiconductor materials have shown a pivotal role due to their distinctive properties. This comprehensive review provides an extensive study of the recent advancements in 2D materials-based neuromorphic devices especially in multiterminal synaptic devices, two-terminal synaptic devices, neuronal devices, and the integration of synaptic and neuronal devices. Herein, a wide range of potential applications of memory, computation, adaptation, and artificial intelligence is incorporated. Finally, the limitations and challenges of neuromorphic devices based on novel 2D materials are discussed. Thus, this review aims to illuminate the design and fabrication of neuromorphic devices based on van der Waals (vdW) heterostructure materials, leveraging promising engineering techniques to excel the applications and potential of neuromorphic computing for hardware implementations. Meticulous arguments are prevailed to highlight the significance of 2D materials in two-, three-, and multiterminal neuromorphic devices. This embarks the architecture of neuromorphic devices to excel the potential of neuromorphic system in real-world applications. In addition, ethical and privacy concerns associated with artificial intelligence are proposed as necessary considerations to regulate the advancements in neuromorphic computing.image (c) 2024 WILEY-VCH GmbH
引用
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页数:21
相关论文
共 155 条
[91]   Threshold Switching Memristor Based on 2D SnSe for Nociceptive and Leaky-Integrate and Fire Neuron Simulation [J].
Qin, Yuwei ;
Wu, Mengfan ;
Yu, Niannian ;
Chen, Ziqi ;
Yuan, Junhui ;
Wang, Jiafu .
ACS APPLIED ELECTRONIC MATERIALS, 2024, 6 (07) :4939-4947
[92]   SnS2 memtransistor-based Lorenz chaotic system for true random number generation [J].
Rehman, Shania ;
Kim, Moon-Seok ;
Khan, Muhammad Farooq ;
Kim, Sungho .
NANO ENERGY, 2024, 127
[93]  
Rekha M., 2023, 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), P1, DOI 10.1109/RMKMATE59243.2023.10368931
[94]   Tunable synaptic working memory with volatile memristive devices [J].
Ricci, Saverio ;
Kappel, David ;
Tetzlaff, Christian ;
Ielmini, Daniele ;
Covi, Erika .
NEUROMORPHIC COMPUTING AND ENGINEERING, 2023, 3 (04)
[95]   Deep learning [J].
Rusk, Nicole .
NATURE METHODS, 2016, 13 (01) :35-35
[96]   Emulation of synaptic functions with low voltage organic memtransistor for hardware oriented neuromorphic computing [J].
Sagar, Srikrishna ;
Mohanan, Kannan Udaya ;
Cho, Seongjae ;
Majewski, Leszek A. ;
Das, Bikas C. .
SCIENTIFIC REPORTS, 2022, 12 (01)
[97]   Reconfigurable Low-Power TiO2 Memristor for Integration of Artificial Synapse and Nociceptor [J].
Sahu, Mousam Charan ;
Jena, Anjan Kumar ;
Mallik, Sameer Kumar ;
Roy, Suman ;
Sahoo, Sandhyarani ;
Ajimsha, R. S. ;
Misra, Pankaj ;
Sahoo, Satyaprakash .
ACS APPLIED MATERIALS & INTERFACES, 2023, 15 (21) :25713-25725
[98]   Electronic Transport in Two-Dimensional Materials [J].
Sangwan, Vinod K. ;
Hersam, Mark C. .
ANNUAL REVIEW OF PHYSICAL CHEMISTRY, VOL 69, 2018, 69 :299-325
[99]   Highly light-tunable memristors in solution-processed 2D materials/metal composites [J].
Sheykhifar, Zahra ;
Mohseni, Seyed Majid .
SCIENTIFIC REPORTS, 2022, 12 (01)
[100]   Neuro-inspired thermoresponsive nociceptor for intelligent sensory systems [J].
Shi, Yuanhong ;
Hua, Qilin ;
Dong, Zilong ;
Wang, Bingjun ;
Dai, Xinhuan ;
Niu, Jianan ;
Cui, Zhaowei ;
Huang, Tianci ;
Wang, Zhong Lin ;
Hu, Weiguo .
NANO ENERGY, 2023, 113