Investigation of the Current and Voltage Waveforms for a TiO2-based Memristor with MATLAB

Year 2020, Issue: 19, 303 - 311, 31.08.2020

Niloufar Rajabiyoun

https://doi.org/10.31590/ejosat.723069

Cited By: 2

Abstract

İlk TiO2 tabanlı memristör, 2008 yılında memristör ve voltaj-akım histerezis eğrisinin öngörülebilir davranışını sunmak için Nano ölçekte HP şirketi tarafından uygulanmıştır. Bu elektronik komponentin birçok yönü henüz bilinmemektedir ve doğru bir model, bu elemanın voltajını ve akımını kontrol etmeye yardımcı olabilir. Bu amaçla, elektronik tabanlı PSPICE veya Workbench gibi programlar yardımcı olabilir. Bu makalede, bu bileşenin dirençli davranışı, voltaj veya akım tarafından kontrol edilecek MATLAB'daki basit kodlarla TiO2'nin doğrusal olmayan iyonik sapması ile modellenmektedir. Bazı simülasyon sonuçları, bu bileşenin özellikleri için model ayarlamaları ile sunulmaktadır.

Keywords

Memristör, TiO2, Matlab simulatör

Investigation of the Current and Voltage Waveforms for a TiO2-based Memristor with MATLAB

Abstract

The first TiO2-based memristor was implemented in 2008 by HP company in Nano-scale to present the predictable behavior of the memristor and voltage-current (V-I) hysteresis curve. Many aspects of this device are unknown yet and having an accurate model can help to control the voltage and current of this device. For this purpose, some of electronic-based soft wares can help like PSPICE or Workbench. This paper is modeling the resistive behavior of this component with non-linear ionic deviance of the TiO2 by simple codes in MATLAB to be controlled by voltage or current. Some of the simulation results are presented with model adjustments for the specifications of this component.

Keywords

Memristor, TiO2, Matlab simulation

References

• A. Mazady and M. Anwar, "Memristor: Part II–DC, Transient, and RF Analysis," in IEEE Transactions on Electron Devices, vol. 61, no. 4, pp. 1062-1070, April 2014.
• C. Wen, J. Hong, F. Ru, Y. Li and S. Quan, "A Novel Memristor-Based Gas Cumulative Flow Sensor," in IEEE Transactions on Industrial Electronics, vol. 66, no. 12, pp. 9531-9538, Dec. 2019.
• D. R. Hughart et al., "A Comparison of the Radiation Response of TaOx and TiO2 Memristors," in IEEE Transactions on Nuclear Science, vol. 60, no. 6, pp. 4512-4519, Dec. 2013.
• O. Krestinskaya, K. N. Salama and A. P. James, "Learning in Memristive Neural Network Architectures Using Analog Backpropagation Circuits," in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 66, no. 2, pp. 719-732, Feb. 2019.
• J. Blasco, N. Ghenzi, J. Suñé, P. Levy, E. Miranda, Equivalent circuit modeling of the bistable conduction characteristics in electroformed thin dielectric films, Microelectronics Reliability, Volume 55, Issue 1, 2015, Pages 1-14, ISSN 0026-2714, https://doi.org/10.1016/j.microrel.2014.10.017.
• Ş. Ç. Yener, R. Mutlu, T. Yener and H. H. Kuntman, "Memristor-based timing circuit," 2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT), Istanbul, 2017, pp. 1-3.
• C. Wen, J. Hong, F. Ru, Y. Li and S. Quan, "A Novel Memristor-Based Gas Cumulative Flow Sensor," in IEEE Transactions on Industrial Electronics, vol. 66, no. 12, pp. 9531-9538, Dec. 2019.
• I. Messaris et al., "A TiO2 ReRAM parameter extraction method," 2017 IEEE International Symposium on Circuits and Systems (ISCAS), Baltimore, MD, 2017, pp. 1-4.
• A. Vera-Tasama, M. Gomez-Cano and J. I. Marin-Hurtado, "Memristors: A perspective and impact on the electronics industry," 2019 Latin American Electron Devices Conference (LAEDC), Armenia, Colombia, 2019, pp. 1-4.
• J. Jiménez-León, A. Sarmiento-Reyes, C. A. De La Cruz Blas and C. Gomez-Polo, "Characterization and modelling of Ag/TiO2/ITO devices exhibiting bipolar memristive properties," 2017 International Caribbean Conference on Devices, Circuits and Systems (ICCDCS), Cozumel, 2017, pp. 53-56.
• I. Messaris et al., "Live demonstration: A TiO2 ReRAM parameter extraction method," 2017 IEEE International Symposium on Circuits and Systems (ISCAS), Baltimore, MD, 2017, pp. 1-1.
• Tekinalp, Z., Öztürk, S., Kuncan, M., 2013. OPC Kullanılarak Gerçek Zamanlı Haberleşen Matlab ve PLC Kontrollü Sistem. Otomatik Kontrol Ulusal Toplantısı, TOK2013, 26-28 Eylül, Malatya
• Çubukçu, A., Kuncan, M., Kaplan, K., & Ertunc, H. M. (2015, May). Development of a voice-controlled home automation using Zigbee module. In 2015 23nd Signal Processing and Communications Applications Conference (SIU), Malatya, Turkey, (pp. 1801-1804). IEEE.
• Köse, İ., Öztürk, S., & KUNCAN, M. (2019). PANTOGRAPHY APPLICATION WITH REAL-TIME PLC BASED ON IMAGE PROCESSING IN GANTRY ROBOT SYSTEM. European Journal of Technique, 9(2), 219-229.)
• Şengül, Ö., Öztürk, S., & Kuncan, M. (2020). Color Based Object Separation in Conveyor Belt Using PLC. Avrupa Bilim ve Teknoloji Dergisi, (18), 401-412.)