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Time of the last modification database: 2017-09-20 20:13:52
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  1. Xue, Y., Zheng, B.-C., Li, Y., Li, T., Robust adaptive state feedback sliding-mode control of memristor-based Chua’s systems with input nonlinearity. Applied Mathematics and Computation, vol.314, pp.142–153, 1st December 2017.
  2. Ayten, U.E., Minaei, S., Sağbaş, M., Memristor emulator circuits using single CBTA. AEU - International Journal of Electronics and Communications, vol.82, pp.109-118, December 2017.
  3. Pawar, P.S., Tikke, R.S., Patil, V.B., Mullani, N.B., Waifalkar, P.P., Khot, K.V., Teli, A.M., Sheikh, A.D., Dongale, T.D., A low-cost copper oxide thin film memristive device based on successive ionic layer adsorption and reaction method. Materials Science in Semiconductor Processing, vol.71, pp.102-108, 15th November 2017.
  4. Shi, Y., Cao, J., Chen, G., Exponential stability of complex-valued memristor-based neural networks with time-varying delays. Applied Mathematics and Computation, vol.313, pp.222–234, 15th November 2017.
  5. Babacan, Y., Kaçar, F., Yeşil, A., Memristor emulator with tunable characteristic and its experimental results. AEU - International Journal of Electronics and Communications, vol.81, pp.99–104, November 2017.
  6. Tu, Z., Ding, N., Li, L., Feng, Y., Zou, L., Zhang, W., Adaptive synchronization of memristive neural networks with time-varying delays and reaction–diffusion term. Applied Mathematics and Computation, vol.311, pp.118–128, 15th October 2017.
  7. Guo, R., Liu, X., Lin, C., Zhang, Z., Existence, uniqueness, and exponential stability analysis for complex-valued memristor-based BAM neural networks with time delays. Applied Mathematics and Computation, vol.311, pp.100-117, 15th October 2017.
  8. Zhang, R., Zeng, D., Zhong, S., Yu, Y., Event-triggered sampling control for stability and stabilization of memristive neural networks with communication delays. Applied Mathematics and Computation, vol.310, pp.57–74, October 2017.
  9. Liu, C., Liu, F., Li, H., Brain-inspired computing accelerated by memristor technology. NanoCom '17 Proceedings of the 4th ACM International Conference on Nanoscale Computing and Commu, no.17, 27th September 2017.
  10. Fu, Q., Cai, J., Zhong, S., Yu, Y., Dissipativity and passivity analysis for memristor-based neural networks with leakage and two additive time-varying delays. Neurocomputing, pp.1-33, 14th September 2017.
  11. Liu, D., Zhu, S., Ye, E., Synchronization stability of memristor-based complex-valued neural networks with time delays. Neural Networks, pp.1-15, 14th September 2017.
  12. Zhao, H., Dong, Z., Tian, H., DiMarzio, D., Han, M.-G., Zhang, L., Yan, X., Liu, F., Shen, L., Han, S.-J., Cronin, S., Wu, W., Tice, J., Guo, J., Wang, H., Atomically-thin Femtojoule Filamentary Memristor. arXiv:1709.04062, [physics.app-ph], 12th September 2017.
  13. Chen, C., Li, L., Peng, H., Yang, Y., Fixed-time synchronization of memristor-based BAM neural networks with time-varying discrete delay. Neural Networks, pp.1-25, 11th September 2017.
  14. Ali, S., Hassan, A., Hassan, G., Bae, J., Lee, C.H., Flexible frequency selective passive circuits based on memristor and capacitor. Organic Electronics, pp.1-22, 9th September 2017.
  15. Kwon, S., Kim, T.-W., Jang, S., Lee, J.-H., Kim, N.D., Ji, Y., Lee, C.-H., Tour, J.M., Wang, K., Structurally Engineered Nanoporous Ta2O5–x Selector-Less Memristor for High Uniformity and Low Power Consumption. ACS ApplIed Materials and Interfaces, pp.1-9, 9th September 2017.
  16. Liu, J., Xu, R., Global dissipativity analysis for memristor-based uncertain neural networks with time delay in the leakage term. International Journal of Control, Automation and Systems, pp.1-10, 6th September 2017.
  17. Banerjee, W., Liu, Q., Lv, H., Long, S., Liu, M., Electronic imitation of behavioral and psychological synaptic activities by the TiOx/Al2O3-based memristor devices. Nanoscale, pp.1-28, 6th September 2017.
  18. Li, Z., Yicheng, Z., Ma, M., A novel floating memristor emulator with minimal components. Research Article, pp.1-14, 6th September 2017.
  19. Murgunde, B.K., Rabinal, M.K., Solution processed bilayer junction of silk fibroin and semiconductor quantum dots as multilevel memristor devices. Organic Electronics, vol.48, pp.276-284, September 2017.
  20. Corinto, F., Forti, M., Memristor Circuits: Pulse Programming via Invariant Manifolds. IEEE Transactions on Circuits and Systems I: Regular Papers, pp.1-13, 31st August 2017.
  21. Krestinskaya, O., Ibrayev, T., James, A.P., Hierarchical Temporal Memory Features with Memristor Logic Circuits for Pattern Recognition. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, pp.1-15, 31st August 2017.
  22. Vivek, R., A Comparative Study of Performance of Memristor Based Logic Design Family and Circuits. Masters Thesis, Thapar University, 29th August 2017.
  23. Zhang, L., Li, S.L., Squillaci, M.A., Zhong, X., Yao, Y., Orgiu, E., Supramolecular self-assembly in sub-micron electrodic cavity: fabrication of heat reversible π-gel memristor. Journal of the American Chemical Society, pp.1-8, 25th August 2017.
  24. Ponce, E., Ros, J., Freire, E., Amador, A., Unravelling the dynamical richness of 3D canonical memristor oscillators. Microelectronic Engineering, pp.1-22, 24th August 2017.
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