Journal
NANOTECHNOLOGY
Volume 32, Issue 33, Pages -Publisher
IOP Publishing Ltd
DOI: 10.1088/1361-6528/ac00e0
Keywords
memristive synapses; electroforming-free; flexible; linear conductance modulation
Funding
- Major Project of Tianjin Science and Technology [18ZXMJMTG00230]
- National Natural Science Foundation of China [62004140]
- Natural Science Foundation of Tianjin [14JCZDJC31500, 18JCQNJC72700]
- Leading academic talents in Tianjin
- innovative talents promotion plan in Tianjin [2020TD003]
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It is urgent to develop memristive synapses and wearable devices to mimic biological synapses. By optimizing interface engineering, memristor devices can exhibit electroforming-free property and simulate short-term and long-term plasticity. Increasing TiO(x) thickness improves linearity and symmetry of potentiation and depression, showing feasibility for artificial neural network applications. The devices can maintain synaptic performance even when bending radius reaches 6 mm, indicating potential for continuous improvement in neuromorphic applications.
It is very urgent to build memristive synapses and even wearable devices to simulate the basic functions of biological synapses. The linear conductance modulation is the basis of analog memristor for neuromorphic computing. By optimizing the interface engineering wherein Ta/TiO (x) /TaO (x) /Ru was fabricated, all the memristor devices with different TiO (x) thickness showed electroforming-free property. The short-term and long-term plasticity in both potentiation and depression behaviors can be mimicked when TiO (x) was fixed at 25 nm. The presented memristive synapses simulated the stable paired-pulse facilitation and spike-timing dependent plasticity performance. The potentiation and depression in linearity and symmetry improved with the TiO (x) thickness increasing, which provides the feasibility for the application of artificial neural network. In addition, the device deposited on polyimide (PI) still exhibits the synaptic performance until the bending radii reaches 6 mm. By carefully tuning the interface engineering, this study can provide general revelation for continuous improvement of the memristive performance in neuromorphic applications.
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