Organic memristors are attracting increasing interest due to their potential in low-cost, flexible, and neuromorphic electronics. Despite ongoing research, the underlying switching mechanisms are not yet fully understood and require further systematic investigation. Herein, we present an ITO/PEDOT: PSS (+DMSO+TsOH) (PPDT)/PVA–PEG-H2SO4 ion-gel (IG)/Ag-based memristor that uniquely couples capacitive and filamentary switching through deliberate layer engineering. By tailoring active layer thickness, we unlock tunable transitions from capacitive-dominated to filament-assisted conduction, manifested as reversible shifts from nonpinched to pinched hysteresis loops, polarity reversal, and adjustable ON/OFF ratios. This dual-mode behavior is a direct consequence of protonic transport in the ion-gel matrix, which synergistically interacts with Ag+-driven filament formation and is stabilized by conductivity-enhanced PEDOT: PSS. Unlike conventional reports, this study integrates a β-controlled hysteresis framework that quantitatively links loop evolution with structural and electrical parameters, providing a unified description that bridges the gap between capacitive and resistive switching in polymer devices. We have also demonstrated (i) control of memristive state, (ii) the establishment of a generalized β-model for hysteresis tuning, and (iii) the fabrication of organic memristors that are stable, repeatable, and cost-effective. These developments elucidate fundamental switching principles and provide a scalable approach for fabricating multifunctional organic memories, making them appealing alternatives for intelligent, adaptable systems, reconfigurable storage, and adaptive computing.
Solution-processed memristors offer a scalable, cost-effective pathway for next-generation computing. The Rb4Ag2BiBr9 (RABB) based resistive random-access memory exhibits stable non-volatile memristive behavior with low operating voltage (∼1.7 V), robust endurance over ∼900 cycles, and extended data retention up to ∼ 5...
Suvankar Poddar, Souvik Bhattacharjee, Pulok Das et al.· Small· 1 citation
Memristors integrating 2D materials are promising for neuromorphic computing, yet their microscopic resistive switching mechanisms require further clarification. In this study, a Cu/HfO2/BP/Pt memristor was fabricated to investigate its electrical characteristics and conductive filament (CF) dynamics. The device exhi...
Dai-Yang Jiang, Zi-Hao Yan, Chang Cao et al.· Journal of Physical Chemistr...· 0 citations
Antimony sulfide (Sb2S3) memristors typically operate via a Schottky-barrier-modulated, vacancy-mediated switching mechanism, which inherently suffers from large electroforming voltages. Here, we demonstrate a deterministic resistive switching polarity reversal in Sb2S3 memristors through Ag-ion modulation. By introduc...
Artificial synaptic memristors require fast switching, stable retention, low variability, and linear conductance modulation, but achieving these properties simultaneously is difficult in electronic bipolar resistive switching (e-BRS) devices. In this study, a tri-TaOx memristor is demonstrated by interposing a defectiv...
Hyungjun Park, Hanyong Jeong, Kyung Seok Woo et al.· ACS Applied Materials and In...· 0 citations
An analog memristor with multilevel conductance states is essential for scalable neuromorphic computing, but achieving linear and symmetric SET/RESET switching characteristics for well-defined conductance states remains a major challenge. Here, we report an amorphous erbium oxide (Er2O3)-based memristor that addresse...
Mrinal Malhotra, M. S. Yadav, Brajesh Rawat et al.· ACS Applied Electronic Mater...· 0 citations
Memristors have emerged as key building blocks of neuromorphic computing architectures due to their ability to integrate data storage and processing. While metal halide perovskites have recently shown significant promise owing to their mixed electronic-ionic conduction and low-cost solution processability, their relian...
E. J. Shaji, Zhi-Yuan Li, Srikanth Doddapaneni et al.· 0 citations
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