Journals / Turkish Journal of Science and Technology / 2017 / Volume: 12 Issue: 2

TiO2 Memristor Modelling with LabVIEW

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Publication Date
2017-10-01
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Finally, results of this system’s behavior and stability analysis of are submitted.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The fourth fundamental circuit element-Memristor, was mathematically modelled by Prof.
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Key Findings & Data:In this paper, we use TiO2 memristor model on account of its simplified expressions and the same ideal physical behaviors.
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Conclusion & Impact:Finally, results of this system’s behavior and stability analysis of are submitted.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:LabVIEW · Memristor · modelling and simulation

Abstract

The fourth fundamental circuit element-Memristor, was mathematically modelled by Prof. Leon Chua in 1971. After about four decades, researchers at the Hewlett–Packard (HP) laboratories submitted the development of a new basic circuit element that completes the missing link between charge and flux linkage, which was suggested by Chua. Though a physical memristor device was not discovered then, many unique simulation applications are executed to take advantage of memristor feature which is different from other circuit elements by many researchers. In this paper, we use TiO2 memristor model on account of its simplified expressions and the same ideal physical behaviors. Firstly, we obtained the mathematical equations of TiO2 memristor. Then, these equations are created with LabVIEW and results are submitted. Finally, results of this system’s behavior and stability analysis of are submitted.

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Cite This Article

Şahin, M. E., Güler, H. (2017). TiO2 Memristor Modelling with LabVIEW. Turkish Journal of Science and Technology, Volume: 12 Issue: 2. https://ajindex.com/articles/1557926

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References (12)

  1. L. Chua, “Memristor-the missing circuit element,” Circuit Theory, IEEE
  2. G. Dearnaley, A. M. Stoneham, and D. V. Morgan, “Electrical phenomena in amorphous oxide films,” Reports on Progress in Physics, vol. 33, no. 3, p. 1129, 1970. [Online]. Available: http://stacks.iop.org/0034-4885/33/i=3/a=306
  3. D. B. Strukov, G. S. Snider, D. R. Stewart, and R. S. Williams, “The missing memristor found,” Nature, vol. 453, pp. 80–83, 2008.
  4. ME Sahin, H Guler, T Kaya, LabVIEW Model Of Memristor With Nonlinear Dopant Drift, European Journal of Technic 6 (2), 124-130,2016
  5. Mazumder, P., Kang, S. M., & Waser, R. (2012). Memristors: devices, models, and applications. Proceedings of the IEEE, 100(6), 1911-1919.
  6. Biolek, Z., Biolek, D., & Biolkova, V. (2009). SPICE Model of Memristor with Nonlinear Dopant Drift. Radioengineering(18), 210-214.
  7. Zhang, Y., Xuliang, Z., & Juebang, Y. (2009). Approximated SPICE model for memristor. In Communications, Circuits and Systems, ICCCAS 2009. International Conference (pp. 928-931). IEEE.
  8. R. Williams, How we found the missing memristor, Spectrum, IEEE 45 (2008), no. 12, 28 –35. 2, 7, 9, 24, 28
  9. Guler, H., & Ata, F. (2014). The Comparison of Manual and LabVIEW Based-Fuzzy Control on Mechanical Ventilation. Journal of Engineering in Medicine, 916-925.
  10. Aydin, S. G., Turgay, K., & Hasan, G. (2016). Wavelet-based study of valence–arousal model of emotions on EEG signals with LabVIEW. Brain Informatics, 3(2), 109-117.
  11. Chua, L. (2011). Resistance switching memories are memristors. Applied Physics A, 102(4), 765-783.
  12. Aydin, S. G., Turgay, K., & Hasan, G. (2016). Wavelet-based study of valence–arousal model of emotions on EEG signals with LabVIEW. Brain Informatics, 3(2), 109-117.