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Time of the last modification database: 2018-11-11 19:13:44
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  1. Luo, M., Cheng, J., Liu, X., Zhong, S., An extended synchronization analysis for memristor-based coupled neural networks via aperiodically intermittent control. Applied Mathematics and Computation, vol.344–345, pp.163-182, 1st March 2019.
  2. 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.
  3. García, A.A., Reyes, L.O., Analysis and parameter extraction of memristive structures based on Strukov's non-linear model. Journal of Semiconductors, vol.40, no.1, pp.1-8, January 2019.
  4. Fouad, A.H., Radwan, A.G., Memristor-Based Quinary Half Adder. AEU - International Journal of Electronics and Communications, pp.1-8, January 2019.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. Zhang, J., Liao, X., Effects of initial conditions on the synchronization of the coupled memristor neural circuits. Nonlinear Dynamics, pp.1-14, 3rd November 2018.
  13. Banchuin, R., On the Memristances, Parameters, and Analysis of the Fractional Order Memristor. Active and Passive Electronic Components, vol.2018, no.3408480, pp.1-14, 1st November 2018.
  14. Mladenov, V., Analysis and Simulations of Hybrid Memory Scheme Based on Memristors. Electronics, vol.7, no.11, pp.1-11, 1st November 2018.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. Takembo, C.N., Mvogo, A., Fouda, H.P.E., Kofané, T.C., Effect of electromagnetic radiation on the dynamics of spatiotemporal patterns in memristor-based neuronal network. Nonlinear Dynamics, pp.1-12, 29th October 2018.
  22. Liu, Y., Song, Z., Tan, M., Multiple μ-stability and multiperiodicity of delayed memristor-based fuzzy cellular neural networks with nonmonotonic activation functions. Mathematics and Computers in Simulation, pp.1-19, 29th October 2018.
  23. Cao, Y., Wen, S., Huang, T., Zeng, Z., Passivity analysis of delayed reaction-diffusion memristor-based neural networks. Neural Networks, pp.1-10, 29th October 2018.
  24. Muthuswamy, B., Banerjee, S., Dynamic Nonlinear Networks. Introduction to Nonlinear Circuits and Networks, pp.199-314, 26th October 2018.
  25. Chen, C., Li, L., Peng, H., Yang, Y., Fixed-time synchronization of inertial memristor-based neural networks with discrete delay. Neural Networks, pp.1-26, 25th October 2018.
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