Journal
ACS NANO
Volume 9, Issue 7, Pages 7306-7313Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acsnano.5b02199
Keywords
carbon filament; organic resistive memory; initiated chemical vapor deposition (iCVD); thin nanofilm; water-resistant memory; flexible memory
Categories
Funding
- Center for Integrated Smart Sensors - Ministry of Science, ICT & Future Planning as Global Frontier Project [CISS-2011-0031848]
- Pioneer Research Center Program through the National Research Foundation of Korea - Ministry of Science, ICT & Future Planning [2012-0009594]
- National Research Foundation of Korea (NRF) - Ministry of Education [2014H1A2A1022137]
- National Research Foundation of Korea [2014H1A2A1022137] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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The memory for the Internet of Things (IoT) requires versatile characteristics such as flexibility, wearability, and stability in outdoor environments. Resistive random access memory (RRAM) to harness a simple structure and organic material with good flexibility can be an attractive candidate for IoT memory. However, its solution-oriented process and unclear switching mechanism are critical problems. Here we demonstrate iCVD polymer-intercalated RRAM (i-RRAM). i-RRAM exhibits robust flexibility and versatile wearability on any substrate. Stable operation of i-RRAM, even in water, is demonstrated, which is the first experimental presentation of water-resistant organic memory without any waterproof protection package. Moreover, the direct observation of a carbon filament is also reported for the first time using transmission electron microscopy, which puts an end to the controversy surrounding the switching mechanism. Therefore, reproducibility is feasible through comprehensive modeling. Furthermore, a carbon filament is superior to a metal filament in terms of the design window and selection of the electrode material. These results suggest an alternative to solve the critical issues of organic RRAM and an optimized memory type suitable for the IoT era.
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