High-Speed Ionic Synaptic Memory Based on 2D Titanium Carbide MXene

被引:66
作者
Melianas, Armantas [1 ,5 ]
Kang, Min-A [2 ]
VahidMohammadi, Armin [3 ,4 ]
Quill, Tyler James [1 ]
Tian, Weiqian [2 ]
Gogotsi, Yury [3 ,4 ]
Salleo, Alberto [1 ]
Hamedi, Mahiar Max [2 ]
机构
[1] Stanford Univ, Dept Mat Sci & Engn, Stanford, CA 94305 USA
[2] KTH Royal Inst Technol, Dept Fibre & Polymer Technol, Sch Engn Sci Chem Biotechnol & Hlth, Tekn Ringen 56, S-10044 Stockholm, Sweden
[3] Drexel Univ, AJ Drexel Nanomat Inst, Philadelphia, PA 19104 USA
[4] Drexel Univ, Dept Mat Sci & Engn, Philadelphia, PA 19104 USA
[5] 149 Commonwealth Dr, Menlo Pk, CA 94025 USA
基金
美国国家科学基金会;
关键词
2D materials; analog resistive memories; electrochemical random-access memories; linear switching; mixed ionic-electronic conductors; molecular self-assembly; MXenes; neuromorphic computing; 2-DIMENSIONAL MATERIALS; ARTIFICIAL SYNAPSE;
D O I
10.1002/adfm.202109970
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Synaptic devices with linear high-speed switching can accelerate learning in artificial neural networks (ANNs) embodied in hardware. Conventional resistive memories however suffer from high write noise and asymmetric conductance tuning, preventing parallel programming of ANN arrays. Electrochemical random-access memories (ECRAMs), where resistive switching occurs by ion insertion into a redox-active channel, aim to address these challenges due to their linear switching and low noise. ECRAMs using 2D materials and metal oxides however suffer from slow ion kinetics, whereas organic ECRAMs enable high-speed operation but face challenges toward on-chip integration due to poor temperature stability of polymers. Here, ECRAMs using 2D titanium carbide (Ti3C2Tx) MXene that combine the high speed of organics and the integration compatibility of inorganic materials in a single high-performance device are demonstrated. These ECRAMs combine the speed, linearity, write noise, switching energy, and endurance metrics essential for parallel acceleration of ANNs, and importantly, they are stable after heat treatment needed for back-end-of-line integration with Si electronics. The high speed and performance of these ECRAMs introduces MXenes, a large family of 2D carbides and nitrides with more than 30 stoichiometric compositions synthesized to date, as promising candidates for devices operating at the nexus of electrochemistry and electronics.
引用
收藏
页数:9
相关论文
共 57 条
[11]   Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing [J].
Fuller, Elliot J. ;
Keene, Scott T. ;
Melianas, Armantas ;
Wang, Zhongrui ;
Agarwal, Sapan ;
Li, Yiyang ;
Tuchman, Yaakov ;
James, Conrad D. ;
Marinella, Matthew J. ;
Yang, J. Joshua ;
Salleo, Alberto ;
Talin, A. Alec .
SCIENCE, 2019, 364 (6440) :570-+
[12]   Li-Ion Synaptic Transistor for Low Power Analog Computing [J].
Fuller, Elliot J. ;
El Gabaly, Farid ;
Leonard, Franois ;
Agarwal, Sapan ;
Plimpton, Steven J. ;
Jacobs-Gedrim, Robin B. ;
James, Conrad D. ;
Marinella, Matthew J. ;
Talin, A. Alec .
ADVANCED MATERIALS, 2017, 29 (04)
[13]   MXene/Polymer Hybrid Materials for Flexible AC-Filtering Electrochemical Capacitors [J].
Gund, Girish Sambhaji ;
Park, Jeong Hee ;
Harpalsinh, Rana ;
Kota, Manikantan ;
Shin, Joo Hwan ;
Kim, Tae-il ;
Gogotsi, Yury ;
Park, Ho Seok .
JOULE, 2019, 3 (01) :164-176
[14]   Control of MXenes' electronic properties through termination and intercalation [J].
Hart, James L. ;
Hantanasirisakul, Kanit ;
Lang, Andrew C. ;
Anasori, Babak ;
Pinto, David ;
Pivak, Yevheniy ;
van Omme, J. Tijn ;
May, Steven J. ;
Gogotsi, Yury ;
Taheri, Mitra L. .
NATURE COMMUNICATIONS, 2019, 10 (1)
[15]   Artificial Synapse Based on van der Waals Heterostructures with Tunable Synaptic Functions for Neuromorphic Computing [J].
He, Congli ;
Tang, Jian ;
Shang, Da-Shan ;
Tang, Jianshi ;
Xi, Yue ;
Wang, Shuopei ;
Li, Na ;
Zhang, Qingtian ;
Lu, Ji-Kai ;
Wei, Zheng ;
Wang, Qinqin ;
Shen, Cheng ;
Li, Jiawei ;
Shen, Shipeng ;
Shen, Jianxin ;
Yang, Rong ;
Shi, Dongxia ;
Wu, Huaqiang ;
Wang, Shouguo ;
Zhang, Guangyu .
ACS APPLIED MATERIALS & INTERFACES, 2020, 12 (10) :11945-11954
[16]   Memristor-Based Analog Computation and Neural Network Classification with a Dot Product Engine [J].
Hu, Miao ;
Graves, Catherine E. ;
Li, Can ;
Li, Yunning ;
Ge, Ning ;
Montgomery, Eric ;
Davila, Noraica ;
Jiang, Hao ;
Williams, R. Stanley ;
Yang, J. Joshua ;
Xia, Qiangfei ;
Strachan, John Paul .
ADVANCED MATERIALS, 2018, 30 (09)
[17]   On-Chip MXene Microsupercapacitors for AC-Line Filtering Applications [J].
Jiang, Qiu ;
Kurra, Narendra ;
Maleski, Kathleen ;
Lei, Yongjiu ;
Liang, Hanfeng ;
Zhang, Yizhou ;
Gogotsi, Yury ;
Alshareef, Husam N. .
ADVANCED ENERGY MATERIALS, 2019, 9 (26)
[18]   Layer-by-layer assembly of two-dimensional materials into wafer-scale heterostructures [J].
Kang, Kibum ;
Lee, Kan-Heng ;
Han, Yimo ;
Gao, Hui ;
Xie, Saien ;
Muller, David A. ;
Park, Jiwoong .
NATURE, 2017, 550 (7675) :229-233
[19]   Electronic properties and applications of MXenes: a theoretical review [J].
Khazaei, Mohammad ;
Ranjbar, Ahmad ;
Arai, Masao ;
Sasaki, Taizo ;
Yunoki, Seiji .
JOURNAL OF MATERIALS CHEMISTRY C, 2017, 5 (10) :2488-2503
[20]  
Kim S., 2019, 2019 IEEE INT ELECT