Switching Dynamics and Conductance Quantization of Aloe Polysaccharides-Based Device

被引:16
作者
Lim, Z. X. [1 ]
Tayeb, I. A. [1 ]
Hamid, Z. A. A. [1 ]
Ain, M. F. [2 ]
Hashim, A. M. [3 ]
Abdullah, J. M. [4 ]
Zhao, F. [5 ]
Cheong, K. Y. [1 ]
机构
[1] Univ Sains Malaysia, Sch Mat & Mineral Resources Engn, Nibong Tebal 14300, Malaysia
[2] Univ Sains Malaysia, Sch Elect & Elect Engn, Nibong Tebal 14300, Malaysia
[3] Univ Teknol Malaysia, Malaysia Japan Int Inst Technol, Kuala Lumpur 54100, Malaysia
[4] Univ Sains Malaysia, Brain Behav Cluster, Sch Med Sci, Hlth Campus,Jalan Hosp USM, Kota Bahru 16150, Malaysia
[5] Washington State Univ, Micro Nanoelect & Energy Lab, Sch Engn & Comp Sci, Vancouver, WA 98686 USA
关键词
Aloe barbadensis miller (A. vera) gel; nonvolatile memories; polysaccharides; resistive switching; synapses; MEMORY; VERA; MECHANISMS;
D O I
10.1109/TED.2019.2915106
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The switching behaviors of polysaccharides based resistive random access memories change substantially depending on the electrical inputs. Here, the switching dynamics of the device are presented by varying the applied current compliance (!cc) and voltage sweeping rate (v). The results show that the device resistance in the low resistance state (R_Rs) can be modulated over five orders of magnitude by varying kc and v in the typical current voltage measurements. The Ri_Rs modulation is attributed to the variable tunneling gap between the filament tip and the top electrode (TE). Conductance quantization is observed once a single-atomic contact with resistance <12.9 kit is formed. Depending on the TEs, both integer and half-integer multiples of quantization levels are being observed, demonstrating its potential for multilevel data storage. In addition, the results unveil the stochastic strengthening and rupturing of the filament as modulated by periodic voltage pulses, thus enabling the device to operate in both volatile and nonvolatile modes. The device offers excellent switching dynamics for preliminary emulation of synapselike learning and forgetting behaviors in neural junctions for next generation neuromorphic computing systems.
引用
收藏
页码:3110 / 3117
页数:8
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