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Time of the last modification database: 2018-10-20 21:47:23
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  1. Melo, A.H.N., Valença, E., Rodrigues, C.L., Macêdo, M.A., Transition from homogeneous to filamentary behavior in ZnO/ZnO-Al thin films. Journal of Alloys and Compounds, vol.770, pp.1200-1207, 5th January 2019.
  2. Aziz, T.N.T.A., Rosli, A.B., Yusoff, M.M., Herman, S.H., Zulkifli, Z., Transparent hybrid ZnO-graphene film for high stability switching behavior of memristor device. Materials Science in Semiconductor Processing, vol.89, pp.68-76, January 2019.
  3. Zhang, Y., Yu, Y., Cui, X., Dynamical behaviors analysis of memristor-based fractional-order complex-valued neural networks with time delay. Applied Mathematics and Computation, vol.339, pp.242-258, 15th December 2018.
  4. Yildirim, M., Babacan, Y., Kaçar, F., Memristive Retinomorphic Grid Architecture Removing Noise and Preserving Edge. AEU - International Journal of Electronics and Communications, pp.1-7, 2nd December 2018.
  5. Rananavare, A.P., Kadam, S.J., Prabhu, S.V., Chavan, S.S., Anbhule, P.V., Dongale, T.D., Organic non-volatile memory device based on cellulose fibers. Materials Letters, pp1-4, 1st December 2018.
  6. Rostami, Z., Pham, V.-T., Jafari, S., Hadaeghi, F., Ma, J., Taking control of initiated propagating wave in a neuronal network using magnetic radiation. Applied Mathematics and Computation, vol.338, pp.141-151, 1st December 2018.
  7. Zhang, G., Wu, F., Hayat, T., Ma, J., Selection of spatial pattern on resonant network of coupled memristor and Josephson junction. Communications in Nonlinear Science and Numerical Simulation, vol.65, pp.79-90, December 2018.
  8. Domaradzki, J., Mazur, M., Kotwica, T., Analysis of memristor-like behaviors in Au/Ti52Cu48Ox/TiAlV structure with gradient elements distribution. Materials Science in Semiconductor Processing, vol.87, pp.167-173, 15th November 2018.
  9. Santos, Y.P., Valença, E., Machado, R., Macêdo, M.A., A novel structure ZnO-Fe-ZnO thin film memristor. Materials Science in Semiconductor Processing, vol.86, pp.43-48, 1st November 2018.
  10. Qin, X., Wang, C., Li, L., Peng, H., Yang, Y., Ye, L., Finite-time modified projective synchronization of memristor-based neural network with multi-links and leakage delay. Chaos, Solitons and Fractals, vol.116, pp.302-315, November 2018.
  11. Šuch, O., Klimo, M., Kemp, N.T., Skvarek, O., Passive memristor synaptic circuits with multiple timing dependent plasticity mechanisms. AEU - International Journal of Electronics and Communications, vol.96, pp.252-259, November 2018.
  12. Xu, Q., Song, Z., Bao, H., Chen, M., Bao, B., Two-neuron-based non-autonomous memristive Hopfield neural network: Numerical analyses and hardware experiments. AEU - International Journal of Electronics and Communications, vol.96, pp.66-74, November 2018.
  13. Dongale, T.D., Mullani, N.B., Patil, V.B., Tikke, R.S., Pawar, P.S., Mohite, S.V., Teli, A.M., Bagade, A.A., Pawar, K.K., Khot, K.V., Shinde, S.S., Patil, V.L., Vanalkar, S.A., Moholkar, A.V., Bhosale, A.V., Patil, P.S., Kamat, R.K., Mimicking the Biological Synapse Functions of Analog Memory, Synaptic Weights, and Forgetting with ZnO-Based Memristive Devices. Journal of Nanoscience and Nanotechnology, vol.18, no.11, pp.7758-7766(9), November 2018.
  14. Chakrabartty, S., Kumar, S., Song, H., Jeon, M., Ag/TiO2 NPs/TiO2 TF/Si Based Non-Volatile Memristor Device for Neuromorphic Computing Applications. Journal of Nanoscience and Nanotechnology, vol.11, no.18, pp.7912-7916(5), November 2018.
  15. Zheng, B.-C., Fei, S., Liu, X., Event-Triggered and Memory-Based Sliding Mode Variable Structure Control for Memristive Systems. Electronics, vol.7, no.10, pp.1-18, 16th October 2018.
  16. Kenzhina, M., Dolzhikova, I., Analysis of Hyperbolic Tangent Passive Resistive Neuron With CMOS-Memristor Circuit. International Conference on Computing and Network Communications (CoCoNet), pp.1-5, 15th October 2018.
  17. Dash, C.S., Sahoo, S., Prabaharan, S.R.S., Resistive switching and impedance characteristics of M/TiO2− x/TiO2/M nano-ionic memristor. Solid State Ionics, vol.324, pp.218-225, 15th October 2018.
  18. Pisarev, A., Busygin, A., Udovichenko, S., Maevsky, O., 3D memory matrix based on a composite memristor-diode crossbar for a neuromorphic processor. Microelectronic Engineering, vol.198, pp.1-7, 15th October 2018.
  19. Chiappone, A., Gillono, M., Castellino, M., Bejtka, K., Rajan, K., Roppolo, I., Perrone, D., Bocchini, S., Ricciardi, C., Pirri, C.F., Chiolerio, A., In situ generation of silver nanoparticles in PVDF for the development of resistive switching devices. Applied Surface Science, vol.455, pp.418-424, 15th October 2018.
  20. Miranda, E.R., Braund, E., Venkatesh, S., Composing with Biomemristors: Is Biocomputing the New Technology of Computer Music?. Computer Music Journal, vol.42, no.3, pp.28-46, 10th October 2018.
  21. Song, Y., Zeng, Z., Sun, W., Jiang, F., Quasi-synchronization of stochastic memristor-based neural networks with mixed delays and parameter mismatches. Neural Computing and Applications, pp.1-14, 9th October 2018.
  22. Papandroulidakis, G., Serb, A., Khiat, A., Merrett, G.V., Prodromakis, T., Practical Implementation of Memristor-Based Threshold Logic Gates. arXiv:1810.03333, [cs.ET], 8th October 2018.
  23. Xia, X., Zeng, Y., Li, Z., Coexisting multiscroll hyperchaotic attractors generated from a novel memristive jerk system. Pramana, pp.1-14, 6th October 2018.
  24. Liu, W., Jiang, M., Yan, M., Stability analysis of memristor-based time-delay fractional-order neural networks. Neurocomputing, pp.1-11, 5th October 2018.
  25. Sung, C., Hwang, H., Yoo, I.K., Perspective: A review on memristive hardware for neuromorphic computation. Journal of Applied Physics, vol.124, no.15, pp.1-13, 5th October 2018.
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