Journal
ADVANCED MATERIALS INTERFACES
Volume 9, Issue 19, Pages -Publisher
WILEY
DOI: 10.1002/admi.202200394
Keywords
3D Poole-Frenkel emission; artificial spiking warm receptor; flexible Mott memristor; VO; (2)
Funding
- National Natural Science Foundation of China [62174130, 61704137]
- Key R&D plan of Shaanxi Province [2020GY-021, 2021GY-175, 2021JM-019]
- Fundamental Research Funds for the Central Universities [xjh012020009]
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In this study, high-performance VO2 Mott memristors were fabricated on flexible substrates, and their electrical properties were well modeled. A flexible artificial spiking warm receptor was created using this memristor, and the effects of its electrical properties on the spiking frequency were thoroughly studied, demonstrating response characteristics similar to biological warm receptors.
In this work, high-performance VO2 Mott memristors with the simple via-hole structure of Pt/VO2/Pt are fabricated on flexible Kapton polymide (PI) substrate with high endurance (>10(4) sweep-voltage cycles), good bending stability (>10(3)), and low operating current (<130 mu A). The electrical properties of flexible memristor are well modeled by using the 3D Poole-Frenkel emission and Newton's law of cooling considering the temperature dependence of electrical and thermal properties of VO2. As a result, a flexible artificial spiking warm receptor is achieved by using a single VO2 Mott memristor driven by a current source. And an oscillation circuit model is presented to thoroughly study the effects of the memristor electrical properties on the spiking frequency. With the stimulus temperature elevated from 20 to 40 degrees C, the spiking frequency of artificial spiking warm receptor first increases, then falls off rather quickly to zero at the higher temperature of 45 degrees C, resembling the response characteristics of biological warm receptors. Hence, the proposed flexible artificial spiking warm receptor is a promising candidate for the bio-inspired electronic skin of spike-based intelligence machines with neuromorphic computing.
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