Skip to main navigation Skip to search Skip to main content

Exploring Bio-Degradable Materials for Resistive Memory: Cow Milk Thin Films on Flexible Substrates for Sustainable Electronics

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Resistive Random Access Memory (RRAM or ReRAM) is a type of non-volatile memory that changes the resistance of a material. Biomaterial-based RRAM holds promise for various electronic applications due to its low cost, sustainability, and eco-friendliness. In this study, cow milk was selected as the biomaterial for RRAM. A thin film of cow milk was applied to aluminum foil, a flexible substrate, using the spin-coating technique. The device underwent various characterizations, including electrical, optical, structural, and morphological analyses. The fabricated devices exhibited bipolar resistive switching behavior, with a High Resistance State / Low Resistance State (HRS/LRS) ratio of approximately 10 at a switching voltage of ±2V and demonstrated good retention over 100 voltage sweep cycles. The conduction mechanism was identified as space charge-limited conduction (SCLC). These findings indicate that cow milk is a viable material for RRAM devices.

    Original languageEnglish
    Title of host publication2024 3rd International Conference on Artificial Intelligence, Computational Electronics and Communication System, AICECS 2024
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9798350391244
    DOIs
    Publication statusPublished - 2024
    Event3rd International Conference on Artificial Intelligence, Computational Electronics and Communication System, AICECS 2024 - Manipal, India
    Duration: 12-12-202414-12-2024

    Publication series

    Name2024 3rd International Conference on Artificial Intelligence, Computational Electronics and Communication System, AICECS 2024

    Conference

    Conference3rd International Conference on Artificial Intelligence, Computational Electronics and Communication System, AICECS 2024
    Country/TerritoryIndia
    CityManipal
    Period12-12-2414-12-24

    All Science Journal Classification (ASJC) codes

    • Artificial Intelligence
    • Computer Networks and Communications
    • Computer Science Applications
    • Computer Vision and Pattern Recognition
    • Computational Mathematics
    • Instrumentation
    • Electrical and Electronic Engineering

    Fingerprint

    Dive into the research topics of 'Exploring Bio-Degradable Materials for Resistive Memory: Cow Milk Thin Films on Flexible Substrates for Sustainable Electronics'. Together they form a unique fingerprint.

    Cite this