TY - JOUR
T1 - Preliminary investigation on the implementation of an artificial synapse using TaOx-based memristor with thermally oxidized active layer
AU - Kim, Juri
AU - Park, Yongjin
AU - Lee, Jung Kyu
AU - Kim, Sungjun
N1 - Publisher Copyright:
© 2023 Author(s).
PY - 2023/12/7
Y1 - 2023/12/7
N2 - This study presents a preliminary exploration of thermally oxidized TaOx-based memristors and their potential as artificial synapses. Unlike the 10-min annealed devices, which display instability due to current overshoots, the 5-min annealed device exhibits stable resistive switching, retention, and endurance characteristics. Moreover, our memristor showcases synaptic behaviors encompassing potentiation, depression, spike-timing-dependent plasticity, and excitatory postsynaptic currents. This synaptic emulation holds tremendous promise for applications in neuromorphic computing, offering the opportunity to replicate the adaptive learning principles observed in biological synapses. In addition, we evaluate the device’s suitability for pattern recognition within a neural network using the modified National Institute of Standards and Technology dataset. Our assessment reveals that the Pt/TaOx/Ta memristor with an oxidized insulator achieves outstanding potential manifested by an accuracy of 93.25% for the identical pulse scheme and an impressive accuracy of 95.42% for the incremental pulse scheme.
AB - This study presents a preliminary exploration of thermally oxidized TaOx-based memristors and their potential as artificial synapses. Unlike the 10-min annealed devices, which display instability due to current overshoots, the 5-min annealed device exhibits stable resistive switching, retention, and endurance characteristics. Moreover, our memristor showcases synaptic behaviors encompassing potentiation, depression, spike-timing-dependent plasticity, and excitatory postsynaptic currents. This synaptic emulation holds tremendous promise for applications in neuromorphic computing, offering the opportunity to replicate the adaptive learning principles observed in biological synapses. In addition, we evaluate the device’s suitability for pattern recognition within a neural network using the modified National Institute of Standards and Technology dataset. Our assessment reveals that the Pt/TaOx/Ta memristor with an oxidized insulator achieves outstanding potential manifested by an accuracy of 93.25% for the identical pulse scheme and an impressive accuracy of 95.42% for the incremental pulse scheme.
UR - https://www.scopus.com/pages/publications/85178850470
U2 - 10.1063/5.0182699
DO - 10.1063/5.0182699
M3 - Article
C2 - 38054517
AN - SCOPUS:85178850470
SN - 0021-9606
VL - 159
JO - Journal of Chemical Physics
JF - Journal of Chemical Physics
IS - 21
M1 - 214711
ER -