@article{0386175136af4ff3adec0b5a246d706a,
title = "Inkjet printed IGZO memristors with volatile and non-volatile switching",
abstract = "Solution-based memristors deposited by inkjet printing technique have a strong technological potential based on their scalability, low cost, environmentally friendlier processing by being an efficient technique with minimal material waste. Indium-gallium-zinc oxide (IGZO), an oxide semiconductor material, shows promising resistive switching properties. In this work, a printed Ag/IGZO/ITO memristor has been fabricated. The IGZO thickness influences both memory window and switching voltage of the devices. The devices show both volatile counter8wise (c8w) and non-volatile 8wise (8w) switching at low operating voltage. The 8w switching has a SET and RESET voltage lower than 2 V and − 5 V, respectively, a retention up to 105 s and a memory window up to 100, whereas the c8w switching shows volatile characteristics with a low threshold voltage (Vth < − 0.65 V) and a characteristic time (τ) of 0.75 ± 0.12 ms when a single pulse of − 0.65 V with width of 0.1 ms is applied. The characteristic time alters depending on the number of pulses. These volatile characteristics allowed them to be tested on different 4-bit pulse sequences, as an initial proof of concept for temporal signal processing applications.",
keywords = "IGZO, Inkjet printing, Memristor, Printed electronics, Volatile and non-volatile behavior",
author = "Miguel Franco and Asal Kiazadeh and Jonas Deuermeier and S. Lanceros-M{\'e}ndez and Rodrigo Martins and Emanuel Carlos",
note = "Funding Information: This work was financed by national funds from FCT - Funda{\c c}{\~a}o para a Ci{\^e}ncia e a Tecnologia, I.P., in the scope of the projects LA/P/0037/2020, UIDP/50025/2020 and UIDB/50025/2020 of the Associate Laboratory Institute of Nanostructures, Nanomodelling and Nanofabrication – i3N. The authors thank the Funda{\c c}{\~a}o para a Ci{\^e}ncia e Tecnologia (FCT) for financial support under the framework of Strategic Funding grants UID/FIS/04650/2020 and grant SFRH/BD/145741/2019. Financial support from the Basque Government Industry Department under the ELKARTEK program is acknowledged. E. Carlos and A. Kiazadeh acknowledge the Individual Call to Scientific Employment Stimulus—4th Edition (2021. 03825.CEECIND), (2021. 03386.CEECIND) through FCT and J. Deuermeier acknowledges CEECINST/00102/2018. A. Kiazadeh and E. Carlos acknowledge FCT/MCTES, project NeurOxide (PTDC/NAN-MAT/30812/2017) and project Supreme-IT (EXPL/CTM-REF/0978/2021), respectively. The authors acknowledge FCT/MCTES project TORIS (2022.09084.PTDC) and OPERA (2022. 08132.PTDC). The authors acknowlegde the SUPERIOT project which had received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union's Horizon Europe research and innovation programme under Grant Agreement No 101096021, including funding under the UK government's Horizon Europe funding guarantee. Also, the authors acknowledge the TERRAMETA projet which was (partially) supported by the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union's Horizon Europe research and innovation programme under Grant Agreement No 101097101, including top-up funding by UK Research and Innovation (UKRI) under the UK government{\textquoteright}s Horizon Europe funding guarantee. At last, we acknowledge Tom{\'a}s Calmeiro for the AFM characterization. Funding Information: This work was financed by national funds from FCT - Funda{\c c}{\~a}o para a Ci{\^e}ncia e a Tecnologia, I.P., in the scope of the projects LA/P/0037/2020, UIDP/50025/2020 and UIDB/50025/2020 of the Associate Laboratory Institute of Nanostructures, Nanomodelling and Nanofabrication – i3N. The authors thank the Funda{\c c}{\~a}o para a Ci{\^e}ncia e Tecnologia (FCT) for financial support under the framework of Strategic Funding grants UID/FIS/04650/2020 and grant SFRH/BD/145741/2019. Financial support from the Basque Government Industry Department under the ELKARTEK program is acknowledged. E. Carlos and A. Kiazadeh acknowledge the Individual Call to Scientific Employment Stimulus—4th Edition (2021. 03825.CEECIND), (2021. 03386.CEECIND) through FCT and J. Deuermeier acknowledges CEECINST/00102/2018. A. Kiazadeh and E. Carlos acknowledge FCT/MCTES, project NeurOxide (PTDC/NAN-MAT/30812/2017) and project Supreme-IT (EXPL/CTM-REF/0978/2021), respectively. The authors acknowledge FCT/MCTES project TORIS (2022.09084.PTDC) and OPERA (2022. 08132.PTDC). The authors acknowlegde the SUPERIOT project which had received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union's Horizon Europe research and innovation programme under Grant Agreement No 101096021, including funding under the UK government's Horizon Europe funding guarantee. Also, the authors acknowledge the TERRAMETA projet which was (partially) supported by the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union's Horizon Europe research and innovation programme under Grant Agreement No 101097101, including top-up funding by UK Research and Innovation (UKRI) under the UK government{\textquoteright}s Horizon Europe funding guarantee. At last, we acknowledge Tom{\'a}s Calmeiro for the AFM characterization. Publisher Copyright: {\textcopyright} The Author(s) 2024.",
year = "2024",
month = dec,
doi = "10.1038/s41598-024-58228-y",
language = "English",
volume = "14",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",
number = "1",
}