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Time of the last modification database: 2015-08-27 09:08:30
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  1. Wang, L., Gong, S.-D., Yang, C.-H., Peng, Y.-X., Gai, S., Associative Memory Function Found on Phase-Change Nanoscale Device. Current Nanoscience, vol.11, no.6, pp.797-804, December 2015.
  2. Dongale, T.D., Khot, K.V., Mali, S.S., Patil, P.S., Gaikwad, P.K., Kamat, R.K., Bhosale, P.N., Development of Ag/ZnO/FTO thin film memristor using aqueous chemical route. Materials Science in Semiconductor Processing, vol.40, pp.523–526, December 2015.
  3. Wang, L., Yang, C.-H., Wen, J., Peng, Y.-X., A Physics-based Memristor Model Based on Chalcogenide Alloy. Current Nanoscience, vol.11, no.5, pp.676-681, October 2015.
  4. Dongale, T.D., Patil, K.P., Gaikwad, P.K., Kamat, R.K., Investigating conduction mechanism and frequency dependency of nanostructured memristor device. Materials Science in Semiconductor Processing, vol.38, pp.228–233, October 2015.
  5. Radwan, A.G., Elwakil, A.S., Fouda, M.E., Pinched hysteresis with inverse-memristor frequency characteristics in some nonlinear circuit elements. Microelectronics Journal, vol.46, no.9, no.834–838, September 2015.
  6. Maan, A.K., James, A.P., Dimitrijev, S., Memristor pattern recogniser: isolated speech word recognition. Electronics Letters, vol.51, no.17, pp.1370–1372, 20th August 2015.
  7. Ghosh, G., Orlowski, M.K., Write and Erase Threshold Voltage Interdependence in Resistive Switching Memory Cells. Electron Devices, IEEE Transactions on, vol.62, no.9, pp.2850-2856, 14th August 2015.
  8. Marszalek, W., Amdeberhan, T., Least Action Principle for Mem-Elements. Journal of Circuits, Systems and Computers, vol.24, no.10, 12th August 2015.
  9. Wang, L., Shen, Y., Finite-Time Stabilizability and Instabilizability of Delayed Memristive Neural Networks with Nonlinear Discontinuous Controller. Neural Networks and Learning Systems, IEEE Transactions on, vol., no., pp.1-11, 11th August 2015.
  10. Ali, M.S., Saravanakumar, R., Cao, J., New passivity criteria for memristor-based neutral-type stochastic BAM neural networks with mixed time-varying delays. Neurocomputing, In Press, Accepted Manuscript, 8th August 2015.
  11. Zhang, G., Shen, Y., Novel conditions on exponential stability of a class of delayed neural networks with state-dependent switching. Neural Networks, In Press, Accepted Manuscript, pp.7, 6th August 2015.
  12. Xiao, J., Zhong, S., Li, Y., Improved passivity criteria for memristive neural networks with interval multiple time-varying delays. Neurocomputing, In Press, Accepted Manuscript, pp.28, 6th August 2015.
  13. Sun, G., Slouka, Z., Chang, H.-Ch., Fluidic-Based Ion Memristors and Ionic Latches. Small, Early View, 6th August 2015.
  14. Lapkin, D.A., Korovin, A.N., Demin, V.A., Emelyanov, A.V., Chvalun, S.N., Organic Memristive Device Based on Polyaniline Film Prepared by Spin Coating. BioNanoScience, Springer Science+Business Media New York, pp.4, 6th August 2015.
  15. Abdurahman, A., Jiang, H., Rahman, K., Function projective synchronization of memristor-based Cohen–Grossberg neural networks with time-varying delays. Cognitive Neurodynamics, pp.11, Springer Netherlands, 5th August 2015.
  16. Volkov, A.G., Nyasani, E.K., Blockmon, A.L., Volkova, M.I., Memristors: Memory elements in potato tubers. Plant Signaling & Behavior, 3rd August 2015.
  17. Sandouk, E.J., Gimzewski, J.K., Stieg, A.Z., Multistate resistive switching in silver nanoparticle films. Science and Technology of Advanced Materials, vol.16, no.4, pp.1-8, 3rd August 2015.
  18. Cai, Z., Huang, L., Wang, D., Zhang, L., Periodic synchronization in delayed memristive neural networks based on filippov systems. Journal of the Franklin Institute, In Press, Accepted Manuscript, 1st August 2015.
  19. Chen, L., Wu, R., Cao, J., Liu, J.-B., Stability and synchronization of memristor-based fractional-order delayed neural networks. Neural Networks, In Press, Accepted Manuscript, 31st July 2015.
  20. Juarez-Hernandez, L.J., Cornella, N., Pasquardini, L., Battistoni, S., Vidalino, L., Vanzetti, L., Caponi, S., Serra, M.D., Iannotta, S., Pederzolli, C., Macchi, P., Musio, C., Bio-hybrid interfaces to study neuromorphic functionalities: New multidisciplinary evidences of cell viability on poly(anyline) (PANI), a semiconductor polymer with memristive properties. Biophysical Chemistry, In Press, Accepted Manuscript, 30th July 2015.
  21. Nie, X., Zheng, W.X., Cao, J., Multistability of memristive Cohen–Grossberg neural networks with non-monotonic piecewise linear activation functions and time-varying delays. Neural Networks, In Press, Accepted Manuscript, 28th July 2015.
  22. Biolek, Z., Biolek, D., Biolková, V., Kolka, Z., Variation of a classical fingerprint of ideal memristor. International Journal of Circuit Theory and Applications, Early View, pp.1-6, 28th July 2015.
  23. Semenov, V., Korneev, I., Arinushkin, P., Strelkova, G., Vadivasova, T., Anishchenko, V., Numerical and experimental studies of attractors in memristor-based Chua’s oscillator with a line of equilibria. Noise-induced effects. The European Physical Journal Special Topics, vol.224, no.8, pp.1553-1561, 27th July 2015.
  24. Saha, P., Saha, D.C., Ray, A., Chowdhury, A.R., Memristive non-linear system and hidden attractor. The European Physical Journal Special Topics, vol.224, no.8, pp.1563-1574, 27th July 2015.
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