Factors Determining the Resistive Switching Behavior of Transparent InGaZnO‐Based Memristors
The overarching goal herein is to identify the factors dominating the performance of a‐IGZO‐based memristors. Despite the highest on/off ratio, greater than 104 with a preferred minimal set/reset bias achieved from a‐IGZO‐based memristors, it is observed that the switching performance and stability/...
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Veröffentlicht in: | Physica status solidi. PSS-RRL. Rapid research letters 2022-07, Vol.16 (7), p.n/a |
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Sprache: | eng |
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Zusammenfassung: | The overarching goal herein is to identify the factors dominating the performance of a‐IGZO‐based memristors. Despite the highest on/off ratio, greater than 104 with a preferred minimal set/reset bias achieved from a‐IGZO‐based memristors, it is observed that the switching performance and stability/reliability of the devices is significantly dominated by the VO·· density and metallization material, depending on their reactivity with IGZO. As the first governing factor, ensuring optimal VO·· concentration in the switching layer IGZO (VO··/OOx ratio 24.3% in this study) is crucial to obtain the tractable formation and rupture of conduction filament. Neither higher nor lower VO·· density than the optimized results in detrimental reliability issues, which may be ascribed to an uncontrollable filament in an abundant vacancy environment or a weak conducting path, respectively. As the second governing mechanism determining the memristor performance and reliability, it is suggested that metallization materials need to be carefully selected based on the thermodynamic redox potential and interfacial stability of the metallization material with IGZO. Metallization materials with larger reduction potential and interfacial stability are found to yield higher switching on/off ratio and greater device performance reliability.
Transparent memristors are realized based on InGaZnO and ITO as switching layer and bottom electrode. Universal strategies regarding the oxygen vacancy concentration in the switching layer and thermodynamic‐based metallization stability/instability are suggested to achieve high performance and reliable IGZO‐based memristors. Herein, insightful design criteria for oxide memristors in artificial intelligence applications are provided. |
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ISSN: | 1862-6254 1862-6270 |
DOI: | 10.1002/pssr.202200075 |