Literature DB >> 26056735

Direct Observation of a Carbon Filament in Water-Resistant Organic Memory.

Byung-Hyun Lee1, Hagyoul Bae, Hyejeong Seong2, Dong-Il Lee, Hongkeun Park, Young Joo Choi, Sung-Gap Im2, Sang Ouk Kim, Yang-Kyu Choi.   

Abstract

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.

Entities:  

Keywords:  carbon filament; flexible memory; initiated chemical vapor deposition (iCVD); organic resistive memory; thin nanofilm; water-resistant memory

Year:  2015        PMID: 26056735     DOI: 10.1021/acsnano.5b02199

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


  4 in total

1.  Foldable and Disposable Memory on Paper.

Authors:  Byung-Hyun Lee; Dong-Il Lee; Hagyoul Bae; Hyejeong Seong; Seung-Bae Jeon; Myung-Lok Seol; Jin-Woo Han; M Meyyappan; Sung-Gap Im; Yang-Kyu Choi
Journal:  Sci Rep       Date:  2016-12-06       Impact factor: 4.379

2.  Biocompatible artificial synapses based on a zein active layer obtained from maize for neuromorphic computing.

Authors:  Youngjin Kim; Chul Hyeon Park; Jun Seop An; Seung-Hye Choi; Tae Whan Kim
Journal:  Sci Rep       Date:  2021-10-19       Impact factor: 4.379

3.  Flash memory devices and bistable nonvolatile resistance switching properties based on PFO doping with ZnO.

Authors:  Jiahe Huang; Xiaofeng Zhao; Hongyan Zhang; Ju Bai; Shuhong Wang; Cheng Wang; Dongge Ma; Yanjun Hou
Journal:  RSC Adv       Date:  2019-03-27       Impact factor: 4.036

4.  Sputtering-deposited amorphous SrVOx-based memristor for use in neuromorphic computing.

Authors:  Tae-Ju Lee; Su-Kyung Kim; Tae-Yeon Seong
Journal:  Sci Rep       Date:  2020-04-01       Impact factor: 4.379

  4 in total

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