TY - GEN
T1 - Exploring Bio-Degradable Materials for Resistive Memory
T2 - 3rd International Conference on Artificial Intelligence, Computational Electronics and Communication System, AICECS 2024
AU - Sudheendra Bhat, K.
AU - Shrivathsa, V. S.
AU - Tiwari, Shailendra Kumar
AU - De, Shounak
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105004556130
UR - https://www.scopus.com/pages/publications/105004556130#tab=citedBy
U2 - 10.1109/AICECS63354.2024.10957034
DO - 10.1109/AICECS63354.2024.10957034
M3 - Conference contribution
AN - SCOPUS:105004556130
T3 - 2024 3rd International Conference on Artificial Intelligence, Computational Electronics and Communication System, AICECS 2024
BT - 2024 3rd International Conference on Artificial Intelligence, Computational Electronics and Communication System, AICECS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 December 2024 through 14 December 2024
ER -