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Time of the last modification database: 2019-08-21 01:05:59
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  1. Pabst, O., Rectifying memristor bridge circuit realized with human skin. Journal of Electrical Bioimpedance, vol.9, no.1, pp.184-192, 31st December 2019.
  2. Ali, M.S., Hymavathi, M., Senan, S., Arik, S., Global Asymptotic Synchronization of Impulsive Fractional-Order Complex-Valued Memristor-Based Neural Networks with Time Varying Delays. Communications in Nonlinear Science and Numerical Simulation, vol.78, no.104869, pp.1-21, November 2019.
  3. Joao, V., Giacomin, E., Qureshi, Y., Zapater, M., Tang, X., Kvatinsky, S., Atienza, D., Gaillardon, P.-E., A Product Engine for Energy-Efficient Execution of Binary Neural Networks Using Resistive Memories. IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), pp.1-6, 6th October 2019.
  4. Qin, X., Wang, C., Li, L., Peng, H., Yang, Y., Ye, L., Finite-time projective synchronization of memristor-based neural networks with leakage and time-varying delays. Physica A: Statistical Mechanics and its Applications, vol.531, no.121788, pp.1-18, 1st October 2019.
  5. Chen, M., Qi, J., Xu, Q., Bao, B., Quasi-period, periodic bursting and bifurcations in memristor-based Fitzhugh-Nagumo circuit. AEU - International Journal of Electronics and Communications, vol.110, pp.1-7, October 2019.
  6. Zhang, Y., Zhong, L., Huagan, W., Shengyao, C., Bao, B., Two-memristor-based chaotic system and its extreme multistability reconstitution via dimensionality reduction analysis. Chaos, Solitons & Fractals, pp.354-363, October 2019.
  7. Kim, B., Jo, S., Sun, W., Shin, H., Analysis of the Memristor-Based Crossbar Synapse for Neuromorphic Systems. Journal of Nanoscience and Nanotechnology, vol.19, no.10, pp.6703-6709(7, October 2019.
  8. Yang, X., Ren, Z., Pan, F., Wu, B., Li, P., Zhou, G., Visible light-induced resistive switching behaviors in single MnOx nanorod: Reversing between resistor and memristor. Journal of Alloys and Compounds, vol.802, pp.546-552, 25th September 2019.
  9. Abdurahman, A., Jiang, H., Nonlinear control scheme for general decay projective synchronization of delayed memristor-based BAM neural networks. Neurocomputing, vol.357, pp.282-291, 10th September 2019.
  10. Soliman, N.S., Tolba, M.F., Said, L.A., Madian, A.H., Radwan, A.G., Fractional X-shape controllable multi-scroll attractor with parameter effect and FPGA automatic design tool software. Chaos, Solitons & Fractals, vol.126, pp.292-307, September 2019.
  11. Lin, Q., Wen, C., Fajie, W., Lin, J., A non-local structural derivative model for memristor. Chaos, Solitons & Fractals, vol.126, pp.169-177, September 2019.
  12. Zhang, Y., Cui, M., Liu, Y., Shen, L., Hybrid CMOS-Memristive Convolutional Computation for on-Chip Learning. Neurocomputing, vol.355, pp.48-56, 25th August 2019.
  13. Stavrinides, S.G., Antoniades, I.P., Georgiou, J., Hatzikraniotis, E., NiTi memristive behavior. Microelectronic Engineering, vol.216, no.111026, pp.1-5, 15th August 2019.
  14. Nikan, O., Tenreiro Machado, J.A., Golbabai, A., Nikazad, T., Numerical investigation of the nonlinear modified anomalous diffusion process. Nonlinear Dynamics, pp.1-19, 5th August 2019.
  15. Arashloo, B.A., Efeoglu, H., Ahmadi, M.T., The Analytical Investigation of Quantum Capacitance on Graphene Oxide Based Memristor. Journal of Nanoelectronics and Optoelectronics, vol.14, no.8, pp.1083-1087(5), 1st August 2019.
  16. Cao, H., Wang, F., Transient and Steady Coexisting Attractors in a New Memristor-based 4-D Chaotic Circuit. AEU - International Journal of Electronics and Communications, vol.108, pp.262-274, August 2019.
  17. Khalil, N.A., Said, L.A., Radwan, A.G., Soliman, A.M., General fractional order mem-elements mutators. Microelectronics Journal, vol.19, pp.211-221, August 2019.
  18. Zhao, B., Xiao, M., Zhou, N., Synaptic learning behavior of TiO 2 nanowire memristor. Nanotechnology, vol.30, no.42, pp.1-9, 31st July 2019.
  19. Escudero, M., Vourkas, I., Rubio, A., Moll, F., On the Variability-aware Design of Memristor-based Logic Circuits. IEEE 18th International Conference on Nanotechnology (IEEE-NANO), pp.1-4, 23rd July 2019.
  20. Gonzalez-Raya, T., Cheng, X.-H., Egusquiza, I.L., Chen, X., Sanz, M., Solano, E., Quantized Single-Ion-Channel Hodgkin-Huxley Model for Quantum Neurons. Physical Review Applied, vol.12, no.1, pp.1-13, 22nd July 2019.
  21. Najem, J.S., Hasan, M.S., Williams, R.S., Weiss, R.J., Rose, G.S., Taylor, G.J., Sarles, S.A., Collier, C.P., Dynamical nonlinear memory capacitance in biomimetic membranes. Nature Communications, vol.10, no.1, pp.1-11, 19th July 2019.
  22. Rakitin, V.V., Rusakov, S.G., Memristor Based Pulse Train Generator. Russian Microelectronics, vol.48, no.4, pp.255–261, 19th July 2019.
  23. Wang, Y., Kang, K.-M., Kim, M., Lee, H.-S., Waser, R., Wouters, D., Dittmann, R., Yang, J.J., Park, H.-H., Mott-transition-based RRAM. Materials Today, pp.1-18, 19th July 2019.
  24. Yang, L., Zeng, Z., Shi, X., A memristor-based neural network circuit with synchronous weight adjustment. Neurocomputing, pp.1-11, 18th July 2019.
  25. Tzouvadaki, I., De Micheli, G., Carrara, S., Memristive Biosensors for Ultrasensitive Diagnostics and Therapeutics. Applications of Emerging Memory Technology, pp.133-157, 17th July 2019.
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