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Time of the last modification database: 2020-07-29 21:28:47
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  1. Jahanshahi, H., Yousefpour, A., Munoz-Pacheco, J.M., Kacar, S., Pham, V.-T., Alsaadi, F.E., A new fractional-order hyperchaotic memristor oscillator: Dynamic analysis, robust adaptive synchronization, and its application to voice encryption. Applied Mathematics and Computation, vol.383, pp.1-15, 15th October 2020.
  2. Zheng, C.-D., Zhang, L., On synchronization of competitive memristor-based neural networks by nonlinear control. Neurocomputing, vol.410, pp.151-160, 14th October 2020.
  3. Haron, M.A., Halim, A.K., Osman, F.N., Razak, A.H.A., Idros, M.F.M., Zain, W.M.I.W., Al Junid, S.A.M., Simulation study of memristor aided logic (magic) based on CMOS NOR gate. Bulletin of Electrical Engineering and Informatics, vol.9, no.5, pp.2134-2140, October 2020.
  4. Sabah, S., Sulaiman, N.B., A self-rectifying memristor model for simulation and ReRAM applications. Indonesian Journal of Electrical Engineering and Computer Science, vol.19, no.3, pp.1204-1209, September 2020.
  5. Hua, M., Yang, S., Xu, Q., Chen, M., Wu, H., Bao, B., Forward and reverse asymmetric memristor-based jerk circuits. AEU - International Journal of Electronics and Communications, vol.123, pp.1-10, August 2020.
  6. Peng, Y., Sun, K., He, S., A discrete memristor model and its application in Hénon map. Chaos, Solitons & Fractals, vol.137, pp.1-6, August 2020.
  7. Yang, J.-Q., Wang, R., Wang, Z.-P., Ma, Q.-Y., Mao, J.-Y., Ren, Y., Yang, X., Zhou, Y., Han, S.-T., Leaky integrate-and-fire neurons based on perovskite memristor for spiking neural networks. Nano Energy, vol.74, no.1048282, pp.1-11, August 2020.
  8. Bao, B.-C., Li, H., Wu, H., Zhang, X., Chen, M., Hyperchaos in a second-order discrete memristor-based map model. Electronics Letters, vol.56, no.13, pp.769-770, 23rd July 2020.
  9. Wei, F., Chen, G., Wang, W., Finite-time synchronization of memristor neural networks via interval matrix method. Neural Networks, vol.127, pp.7-18, July 2020.
  10. Dupraz, E., Varshney, L.R., Noisy In-Memory Recursive Computation with Memristor Crossbars. International Symposium on Information Theory (ISIT), pp.1-6, 21st June 2020.
  11. Xiao, M., Zheng, W.X., Jiang, G., Cao, J., Qualitative Analysis and Bifurcation in a Neuron System With Memristor Characteristics and Time Delay.. IEEE Transactions on Neural Networks and Learning Systems, pp.1-15, 8th June 2020.
  12. Gupta, V., Lucarelli, G., Castro-Hermosa, S., Brown, T., Ottavi, M., Characterisation & modelling of perovskite-based synaptic memristor device. Microelectronics Reliability, vol.111, pp.1-11, 7th June 2020.
  13. Fayyazi, A., Esmaili, A., Pedram. M., HIPE-MAGIC: A Technology-Aware Synthesis and Mapping Flow for HIghly Parallel Execution of Memristor-Aided LoGIC. arXiv:2006.03269, [cs.ET], 5th June 2020.
  14. Wang, Y., Hu, L., Wei, X., Zhuge, F., Ultralow operation voltages of a transparent memristor based on bilayer ITO. Applied Physics Letters, vol.116, no.22, pp.1-5, 4th June 2020.
  15. Ganeshan, S.K., Selamneni, V., Sahatiya, P., Water Dissolvable MoS2 Quantum Dots/PVA film as an Active Material for Destructible Memristor. New Journal of Chemistry, pp.1-8, 3rd June 2020.
  16. Wu, G.-C., Luo, M., Huang, L.-L., Banerjee, S., Short memory fractional differential equations for new memristor and neural network design. Nonlinear Dynamics, vol.100, pp.3611-3623, 2nd June 2020.
  17. Kao, Y., Li, Y., Park, J.H., Chen, X., Mittag-Leffler Synchronization of Delayed Fractional Memristor Neural Networks via Adaptive Control. Transactions on Neural Networks and Learning Systems, pp.1-6, 1st June 2020.
  18. Goswami, S., Thompson, D., Williams, R.S., Venkatesan, T., Colossal current and voltage tunability in an organic memristor via electrode engineering. Applied Materials Today, vol.19, pp.1-11, June 2020.
  19. Nahm, S., Lee, T.-G., Park, S.-M., Hwang, H.-G., Woo, J.-U., Improvement in conductance modulation linearity of artificial synapses based on NaNbO3 memristor. Applied Materials Today, vol.19, pp.1-8, June 2020.
  20. Li, X., Tan, Z., Wang, X., Liu, Y., Investigation on the Frequency Dependence of the Correlation Between Discharge Current and Gap Voltage in Helium Dielectric Barrier Discharges at Atmospheric Pressure. IEEE Transactions on Plasma Science, vol.48, no.6, pp.1-15, 29th May 2020.
  21. Kim, T.-H., Kim, M.H., Bang, S., Lee, D.K., Kim, S., Cho, S., Park, B.-G., Fabrication and Characterization of TiOx Memristor for Synaptic Device Application. IEEE Transactions on Nanotechnology, vol.19, pp.475-480, 29th May 2020.
  22. Gul, E., Gokcen, D., Active Memristive Layer Deposition via Mn (II)-Assisted Anodic Oxidation of Titanium. ECS Journal of Solid State Science and Technology, vol.9, no.5, 29th May 2020.
  23. James, A., Introductory Chapter: Challenges in Neuro-Memristive Circuit Design. Circuits and Applications of Memristor Devices, 27th May 2020.
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