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
[1]  
Agarwal S, 2017, S VLSI TECH, pT174, DOI 10.23919/VLSIT.2017.7998164
[2]  
Agarwal S, 2016, IEEE IJCNN, P929, DOI 10.1109/IJCNN.2016.7727298
[3]   Graphene and two-dimensional materials for silicon technology [J].
Akinwande, Deji ;
Huyghebaert, Cedric ;
Wang, Ching-Hua ;
Serna, Martha I. ;
Goossens, Stijn ;
Li, Lain-Jong ;
Wong, H. -S. Philip ;
Koppens, Frank H. L. .
NATURE, 2019, 573 (7775) :507-518
[4]   Guidelines for Synthesis and Processing of Two-Dimensional Titanium Carbide (Ti3C2TX MXene) [J].
Alhabeb, Mohamed ;
Maleski, Kathleen ;
Anasori, Babak ;
Lelyukh, Pavel ;
Clark, Leah ;
Sin, Saleesha ;
Gogotsi, Yury .
CHEMISTRY OF MATERIALS, 2017, 29 (18) :7633-7644
[5]  
Anasori B., 2019, 2D Metal Carbides and Nitrides (MXenes): Structure, Properties and Applications, DOI [DOI 10.1007/978-3-030-19026-2, DOI 10.1103/PHYSREVLETT.78.1396]
[6]   2D metal carbides and nitrides (MXenes) for energy storage [J].
Anasori, Babak ;
Lukatskaya, Maria R. ;
Gogotsi, Yury .
NATURE REVIEWS MATERIALS, 2017, 2 (02)
[7]   Large-scale neural networks implemented with non-volatile memory as the synaptic weight element: comparative performance analysis (accuracy, speed, and power) [J].
Burr, G. W. ;
Narayanan, P. ;
Shelby, R. M. ;
Sidler, S. ;
Boybat, I. ;
di Nolfo, C. ;
Leblebici, Y. .
2015 IEEE INTERNATIONAL ELECTRON DEVICES MEETING (IEDM), 2015,
[8]   Wafer-scale integration of two-dimensional materials in high-density memristive crossbar arrays for artificial neural networks [J].
Chen, Shaochuan ;
Mahmoodi, Mohammad Reza ;
Shi, Yuanyuan ;
Mahata, Chandreswar ;
Yuan, Bin ;
Liang, Xianhu ;
Wen, Chao ;
Hui, Fei ;
Akinwande, Deji ;
Strukov, Dmitri B. ;
Lanza, Mario .
NATURE ELECTRONICS, 2020, 3 (10) :638-645
[9]   Two -Dimensional Ti3C2 MXene for High-Resolution Neural Interfaces [J].
Driscoll, Nicolette ;
Richardson, Andrew G. ;
Maleski, Kathleen ;
Anasori, Babak ;
Adewole, Oladayo ;
Lelyukh, Pavel ;
Escobedo, Lilia ;
Cullen, D. Kacy ;
Lucas, Timothy H. ;
Gogotsi, Yury ;
Vitale, Flavia .
ACS NANO, 2018, 12 (10) :10419-10429
[10]  
Dua D, UCI MACHINE LEARNING