Flexible and Waterproof Resistive Random-Access Memory Based on Nitrocellulose for Skin-Attachable Wearable Devices

Jin Hyeok Lee, Sung Pyo Park, Kyungho Park, Hyun Jae Kim

Research output: Contribution to journalArticle

Abstract

Memory for skin-attachable wearable devices for healthcare monitoring must meet a number of requirements, including flexibility and stability in external environments. Among various memory technologies, organic-based resistive random-access memory (RRAM) devices are an attractive candidate for skin-attachable wearable devices due to the high flexibility of organic materials. However, organic-based RRAMs are particularly vulnerable to external moisture, making them difficult to apply as skin-attachable wearable devices. In this research, RRAMs are fabricated that meet the requirements for skin-attachable wearable devices using a novel organic material, nitrocellulose (NC), which is biocompatible with high water-resistance and high flexibility. The fabricated NC-based RRAMs show a stable bipolar resistive switching characteristic. In addition, the formation of a native Al oxide between Al and NC is verified, which is the source of the bipolar switching characteristic of NC-based RRAMs. Furthermore, electrical and chemical analysis is conducted after dipping and submersion into various solutions as well as deionized water to confirm the water-resistance of the NC-based RRAMs. Finally, it is also confirmed that NC-based RRAMs are suitable for use in skin-attachable wearable devices through a flexibility test. In conclusion, this study suggests that NC-based RRAMs can be applied in skin-attachable wearable devices, simplifying healthcare in the future.

Original languageEnglish
Article number1907437
JournalAdvanced Functional Materials
DOIs
Publication statusAccepted/In press - 2019 Jan 1

Fingerprint

cellulose nitrate
Nitrocellulose
Collodion
random access memory
Skin
Data storage equipment
flexibility
organic materials
water
requirements
Water
Deionized water
RRAM
dipping
chemical analysis
moisture
Oxides
Moisture
oxides
Monitoring

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Materials Science(all)
  • Condensed Matter Physics

Cite this

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title = "Flexible and Waterproof Resistive Random-Access Memory Based on Nitrocellulose for Skin-Attachable Wearable Devices",
abstract = "Memory for skin-attachable wearable devices for healthcare monitoring must meet a number of requirements, including flexibility and stability in external environments. Among various memory technologies, organic-based resistive random-access memory (RRAM) devices are an attractive candidate for skin-attachable wearable devices due to the high flexibility of organic materials. However, organic-based RRAMs are particularly vulnerable to external moisture, making them difficult to apply as skin-attachable wearable devices. In this research, RRAMs are fabricated that meet the requirements for skin-attachable wearable devices using a novel organic material, nitrocellulose (NC), which is biocompatible with high water-resistance and high flexibility. The fabricated NC-based RRAMs show a stable bipolar resistive switching characteristic. In addition, the formation of a native Al oxide between Al and NC is verified, which is the source of the bipolar switching characteristic of NC-based RRAMs. Furthermore, electrical and chemical analysis is conducted after dipping and submersion into various solutions as well as deionized water to confirm the water-resistance of the NC-based RRAMs. Finally, it is also confirmed that NC-based RRAMs are suitable for use in skin-attachable wearable devices through a flexibility test. In conclusion, this study suggests that NC-based RRAMs can be applied in skin-attachable wearable devices, simplifying healthcare in the future.",
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Flexible and Waterproof Resistive Random-Access Memory Based on Nitrocellulose for Skin-Attachable Wearable Devices. / Lee, Jin Hyeok; Park, Sung Pyo; Park, Kyungho; Kim, Hyun Jae.

In: Advanced Functional Materials, 01.01.2019.

Research output: Contribution to journalArticle

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