4.6 Article

Inverter and Ternary Content-Addressable Memory Based on Carbon Nanotube Transistors Using Chemical Doping Strategy

Journal

ADVANCED ELECTRONIC MATERIALS
Volume 8, Issue 10, Pages -

Publisher

WILEY
DOI: 10.1002/aelm.202200424

Keywords

inverters; Schmidt triggers; ternary content-addressable memory; transistors

Funding

  1. Natural Science Foundation of Heilongjiang Province, China [LH2019F029]

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In this work, the polarity of carbon nanotube transistors was modulated using a chemical doping strategy. A p-type carbon nanotube transistor and an n-type carbon nanotube transistor were connected in series to construct an inverter and a Schmitt trigger. A ternary content-addressable memory cell was also built using two inverters. The results showed good performance and potential for future application in computing-in memory.
Carbon nanotubes (CNTs) have attracted much attention in transistors because of their unique structure and electrical properties. However, the implementation of transistor polarity control and complementary logic functions remains a key challenge. In this work, the polarity of carbon nanotube transistors using chemical doping strategy is modulated. By triethyl oxonium hexachloro antimonate doping and polyethylene imine doping with chemically modified, p-type CNTs and n-type CNTs as the transistor channel of the bottom gate structure field effect transistors are prepared. An inverter is constructed by connecting p-type transistor and n-type transistor in series. The inverter has a voltage hysteresis window and gain over 20.5. A Schmitt trigger with operating frequency over 2 MHz is built based on high-low conversion of inverter output voltage during dual-scan has different threshold voltage characteristics. Two inverters are used to construct a ternary content-addressable memory cell with four transistors, which has an on/off ratio up to 10(4), a data retention characteristic of 10(4) s, and a good stability of more than 1000 cycles, indicating the great potential of practical application in future computing-in memory.

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