Suppression of leakage in small-molecule memristors via fluoropolymer-assisted electric field modulation

Abstract The development of neuromorphic hardware systems is essential to meet the growing demands of artificial intelligence and internet of things technologies. Organic memristors (OMs), owing to their mechanical flexibility, low cost, biocompatibility, and tunable molecular properties, have emerged as promising candidates for synaptic elements in crossbar array architectures when constructing neuromorphic systems. Although vacuum-deposited OMs (V-OMs) offer high device uniformity and reliability—crucial for real-world applications—their high charge transport characteristics inherently lead to elevated leakage currents and crosstalk due to uncontrolled electric field distribution, thereby limiting system scalability and reliability. In this study, we propose a polymer-assisted field-confinement strategy to overcome these limitations by patterning a chemically compatible fluorinated polymer onto the active layer of V-OMs. The patterned fluoropolymer effectively confines the electric field to desired regions while suppressing it elsewhere, significantly reducing leakage current and enhancing electrical performance. The optimized devices exhibited over an order of magnitude reduction in high-resistance state current and an improved on/off ratio from 10 2 to 10 3 . Endurance and retention were validated through 300-cycle and 5000 s tests, respectively. Furthermore, stable pulse switching, along with multilevel conductance modulation under varying compliance currents, confirmed reliable and non-volatile synaptic weight updates. These results highlight the potential of this field-confinement strategy for realizing reliable, scalable, and high-density neuromorphic systems based on crossbar array structures.

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Publication Details

Journal
Flexible and Printed Electronics
Published
2025-09-01
DOI
https://doi.org/10.1088/2058-8585/ae01b8
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.73

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article

Suppression of leakage in small-molecule memristors via fluoropolymer-assisted electric field modulation

Hea‐Lim Park, Jun-Seok Ro
1 citations
Flexible and Printed Electronics
Advanced Memory and Neural Computing
0.73
article

Suppression of leakage in small-molecule memristors via fluoropolymer-assisted electric field modulation

Hea‐Lim Park, Jun-Seok Ro
article en
1 citations

Abstract

Abstract The development of neuromorphic hardware systems is essential to meet the growing demands of artificial intelligence and internet of things technologies. Organic memristors (OMs), owing to their mechanical flexibility, low cost, biocompatibility, and tunable molecular properties, have emerged as promising candidates for synaptic elements in crossbar array architectures when constructing neuromorphic systems. Although vacuum-deposited OMs (V-OMs) offer high device uniformity and reliability—crucial for real-world applications—their high charge transport characteristics inherently lead to elevated leakage currents and crosstalk due to uncontrolled electric field distribution, thereby limiting system scalability and reliability. In this study, we propose a polymer-assisted field-confinement strategy to overcome these limitations by patterning a chemically compatible fluorinated polymer onto the active layer of V-OMs. The patterned fluoropolymer effectively confines the electric field to desired regions while suppressing it elsewhere, significantly reducing leakage current and enhancing electrical performance. The optimized devices exhibited over an order of magnitude reduction in high-resistance state current and an improved on/off ratio from 10 2 to 10 3 . Endurance and retention were validated through 300-cycle and 5000 s tests, respectively. Furthermore, stable pulse switching, along with multilevel conductance modulation under varying compliance currents, confirmed reliable and non-volatile synaptic weight updates. These results highlight the potential of this field-confinement strategy for realizing reliable, scalable, and high-density neuromorphic systems based on crossbar array structures.

Flexible and Printed ElectronicsVol. 10(3)
Seoul National University of Science and Technology (KR)
National Research Foundation of Korea
Openalex Percentile: Top 24%
Advanced Memory and Neural Computing
0.73
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Suppression of leakage in small-molecule memristors via fluoropolymer-assisted electric field modulation — Hea‐Lim Park, Jun-Seok Ro · Flexible and Printed Electronics (2025) | TGRS Research Map | TGRS