Abstract
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 (ν). The results show that the device resistance in the low-resistance state (RLRS) can be modulated over five orders of magnitude by varying (CC) and ν in the typical current-voltage measurements. The (RLRS) 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 ≤12.9kΩ 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 synapse like learning and forgetting behaviors in neural junctions for next-generation neuromorphic computing systems.
Recommended Citation
Z. X. Lim et al., "Switching Dynamics and Conductance Quantization of Aloe Polysaccharides-Based Device," IEEE Transactions on Electron Devices, vol. 66, no. 7, pp. 3110 - 3117, article no. 8718041, Institute of Electrical and Electronics Engineers, Jul 2019.
The definitive version is available at https://doi.org/10.1109/TED.2019.2915106
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Aloe barbadensis miller (A. vera) gel; Nonvolatilememories; Polysaccharides,Resistive Switching; Synapses
International Standard Serial Number (ISSN)
1557-9646; 0018-9383
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jul 2019

Comments
Universiti Sains Malaysia, Grant 304