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Time of the last modification database: 2015-08-04 21:42:53
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  1. Dongale, T.D., Khot, K.V., Mali, S.S., Patil, P.S., Gaikwad, P.K., Kamat, R.K., Bhosale, P.N., Development of Ag/ZnO/FTO thin film memristor using aqueous chemical route. Materials Science in Semiconductor Processing, vol.40, pp.523–526, December 2015.
  2. Wang, L., Yang, C.-H., Wen, J., Peng, Y.-X., A Physics-based Memristor Model Based on Chalcogenide Alloy. Current Nanoscience, vol.11, no.5, pp.676-681, October 2015.
  3. Dongale, T.D., Patil, K.P., Gaikwad, P.K., Kamat, R.K., Investigating conduction mechanism and frequency dependency of nanostructured memristor device. Materials Science in Semiconductor Processing, vol.38, pp.228–233, October 2015.
  4. Radwan, A.G., Elwakil, A.S., Fouda, M.E., Pinched hysteresis with inverse-memristor frequency characteristics in some nonlinear circuit elements. Microelectronics Journal, vol.46, no.9, no.834–838, September 2015.
  5. Juarez-Hernandez, L.J., Cornella, N., Pasquardini, L., Battistoni, S., Vidalino, L., Vanzetti, L., Caponi, S., Serra, M.D., Iannotta, S., Pederzolli, C., Macchi, P., Musio, C., Bio-hybrid interfaces to study neuromorphic functionalities: New multidisciplinary evidences of cell viability on poly(anyline) (PANI), a semiconductor polymer with memristive properties. Biophysical Chemistry, In Press, Accepted Manuscript, 30th July 2015.
  6. Nie, X., Zheng, W.X., Cao, J., Multistability of memristive Cohen–Grossberg neural networks with non-monotonic piecewise linear activation functions and time-varying delays. Neural Networks, In Press, Accepted Manuscript, 28th July 2015.
  7. Biolek, Z., Biolek, D., Biolková, V., Kolka, Z., Variation of a classical fingerprint of ideal memristor. International Journal of Circuit Theory and Applications, Early View, pp.1-6, 28th July 2015.
  8. Semenov, V., Korneev, I., Arinushkin, P., Strelkova, G., Vadivasova, T., Anishchenko, V., Numerical and experimental studies of attractors in memristor-based Chua’s oscillator with a line of equilibria. Noise-induced effects. The European Physical Journal Special Topics, vol.224, no.8, pp.1553-1561, 27th July 2015.
  9. Saha, P., Saha, D.C., Ray, A., Chowdhury, A.R., Memristive non-linear system and hidden attractor. The European Physical Journal Special Topics, vol.224, no.8, pp.1563-1574, 27th July 2015.
  10. Gupta, I., Serb, A., Khiat, A., Zeitler, R., Vassanelli, S., Prodromakis,T., Memristive integrative sensors for neuronal activity. arXiv:1507.06832v1, [cs.ET], 24th July 2015.
  11. Yang, D., Qiu, G., Li, Ch., Global exponential stability of memristive neural networks with impulse time window and time-varying delays. Neurocomputing, In Press, Accepted Manuscript, pp.16, 23rd July 2015.
  12. Xiao, J., Zhong, S., Li, Y., Relaxed dissipativity criteria for memristive neural networks with leakage and time-varying delays. Neurocomputing, In Press, Accepted Manuscript, 21st July 2015.
  13. Chen, J.-Y., Huang, Ch.-W., Chiu, Ch.-H., Huang, Y.-T., Wu, W.-W., Switching Kinetic of VCM-Based Memristor: Evolution and Positioning of Nanofilament. Advanced Materials, Early View, pp.1-6, 20th July 2015.
  14. Biolek, D., Biolková, V., Kolka, Z., Enhanced PSpice Model of TiO2 Memristor. International Journal of Materials, vol.2, pp.25-28, 16th July 2015.
  15. Kumar, S., Graves, C.E., Strachan, J.P., Kilcoyne, A.L.D., Tyliszczak, T., Nishi, Y., Williams, R.S., In-operando synchronous time-multiplexed O K-edge x-ray absorption spectromicroscopy of functioning tantalum oxide memristors. Journal of Applied Physics, vol.118, no.3, pp.7, 15th July 2015.
  16. Landon, C.D., Wilke, R.H.T., Brumbach, M.T., Brennecka, G.L., Blea-Kirby, M., Ihlefeld, J.F., Marinella, M.J., Beechem, T.E., Thermal transport in tantalum oxide films for memristive applications. Applied Physics Letters, vol.107, no.2, pp.4, 15th July 2015.
  17. Tzouvadaki, I., Puppo, F., Doucey, M.-A., De Micheli, G., Carrara, S., Computational Study on the Electrical Behavior of Silicon Nanowire Memristive Biosensors. Sensors Journal, IEEE, vol., no., pp.1-16, 14th July 2015.
  18. Messerschmitt, F., Kubicek, M., Rupp, J.L.M., How Does Moisture Affect the Physical Property of Memristance for Anionic–Electronic Resistive Switching Memories?. Advanced Functional Materials, pp.1-9, 14th July 2015.
  19. Bürger, J., Goudarzi, A., Stefanovic, D., Teuscher, Ch., Computational Capacity and Energy Consumption of Complex Resistive Switch Networks. arXiv:1507.03716v1, [cs.ET], 14th July 2015.
  20. Kim, B.K., Nguyen, V.H., Kim, N.T., Song, H.J., Experimental study on chaotic behaviors of a Chua’s circuit based on variable memristor. IEICE Electronics Express, vol., no., pp.1-8, 13th July 2015.
  21. Tulina, N.A., Rossolenko, A.N., Borisenko, I.Y., Shmytko, I.M., Ionov, A.M., Ivanov, A.A., Resistive switching and diode properties of mesoscopic niobium oxide-based structures. Bulletin of the Russian Academy of Sciences: Physics, vol.79, no.6, pp.759-762, 11th July 2015.
  22. Chen, L., Li, Ch., Chen, Y., Huang, T., Hu, X., The Bipolar and Unipolar Reversible Behavior on the Forgetting Memristor Model. Neurocomputing, In Press, Accepted Manuscript, 10th July 2015.
  23. Fauzi, F.B., Othman, R., Mohamed, M.A., Herman, S.H., Azhar, A.Z.A., Ani, M.H., Transition Metal Oxide (TMO) Thin Film Memristor on Cu Substrate Using Dilute Electrodeposition Method. Materials Transactions, 10th July 2015.
  24. Bao, H., Park, J.H., Cao, J., Adaptive synchronization of fractional-order memristor-based neural networks with time delay. Nonlinear Dynamics, pp.12, 9th July 2015.
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