Transparent Biomaterial-BasedNonvolatile BioelectronicMemory with Excellent Endurance

With the recent upsurge of data-driven technology, the demand for storage elements has pushed the researchers to explore design of nobel nonvolatile memory devices with diverse functionalities. However, the management of electronic waste has become a prominent challenge due to the rapid growth of the solid-state electronics industry. Biomaterial-based Resistive Random Access Memory (Bio-RRAM) has become one of the most promising devices that can augment the quality of memory devices because of their environmentally benign behavior, biocompatible, nontoxic, transient, transferable, flexible, dissolvable, and biodegradable nature. In this work, we report the fabrication of MIM-structured RRAM devices based on two biomaterials, namely, ovalbumin liquid and acemannan polysaccharide gel, as switching layers. Further, they are characterized by several analytical techniques. The electrical transport measurement revealed bipolar resistive switching behavior, sustainable over 1000 consecutive cycles. The devices demonstrated supreme endurance over 1000 switching cycles with a maximum ON/OFF ratio of ∼10<sup>2</sup>–10<sup>3</sup>. The switching process can be explained through the formation and rupture of conducting filaments formed by the migration of Ag ions. Design of neuro-memristive synapse has been further been explored to demonstrate various neuromorphic functionalities such as long/short-term potentiation, depression, and plasticity. Due to simultaneous presence of resistive switching with the negative differential resiatance (NDR) effect, remarkable endurance, ease of fabrication, cost reduction, and environmental compatibility, neuromorphic functionalities, the RRAM structures could be of potential interest for bioelectronic memory design, wearable and flexible electronics and neuromorphic computing.

Publication Details

Journal
Figshare
Published
2025-03-04
DOI
https://doi.org/10.1021/acsabm.4c01645.s001
Primary Topic
Education Methods and Technologies
Type
article
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Transparent Biomaterial-BasedNonvolatile BioelectronicMemory with Excellent Endurance

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Education Methods and Technologies
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Transparent Biomaterial-BasedNonvolatile BioelectronicMemory with Excellent Endurance

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Abstract

With the recent upsurge of data-driven technology, the demand for storage elements has pushed the researchers to explore design of nobel nonvolatile memory devices with diverse functionalities. However, the management of electronic waste has become a prominent challenge due to the rapid growth of the solid-state electronics industry. Biomaterial-based Resistive Random Access Memory (Bio-RRAM) has become one of the most promising devices that can augment the quality of memory devices because of their environmentally benign behavior, biocompatible, nontoxic, transient, transferable, flexible, dissolvable, and biodegradable nature. In this work, we report the fabrication of MIM-structured RRAM devices based on two biomaterials, namely, ovalbumin liquid and acemannan polysaccharide gel, as switching layers. Further, they are characterized by several analytical techniques. The electrical transport measurement revealed bipolar resistive switching behavior, sustainable over 1000 consecutive cycles. The devices demonstrated supreme endurance over 1000 switching cycles with a maximum ON/OFF ratio of ∼10<sup>2</sup>–10<sup>3</sup>. The switching process can be explained through the formation and rupture of conducting filaments formed by the migration of Ag ions. Design of neuro-memristive synapse has been further been explored to demonstrate various neuromorphic functionalities such as long/short-term potentiation, depression, and plasticity. Due to simultaneous presence of resistive switching with the negative differential resiatance (NDR) effect, remarkable endurance, ease of fabrication, cost reduction, and environmental compatibility, neuromorphic functionalities, the RRAM structures could be of potential interest for bioelectronic memory design, wearable and flexible electronics and neuromorphic computing.

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Education Methods and Technologies
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