x

Filter
admin login

Time of the last modification database: 2015-07-27 10:29:25
[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] ... [82] >>
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. Xiao, J., Zhong, S., Li, Y., Relaxed dissipativity criteria for memristive neural networks with leakage and time-varying delays. Neurocomputing, In Press, Accepted Manuscript, 21st July 2015.
  7. Chen, J.-Y., Huang, Ch.-W., Chiu, Ch.-H., Huang, Y.-T., Wu, W.-W., Switching Kinetic of VCM-Based Memristor: Evolution and Positioning of Nanofilament. Advanced Materials, Early View, pp.1-6, 20th July 2015.
  8. Kumar, S., Graves, C.E., Strachan, J.P., Kilcoyne, A.L.D., Tyliszczak, T., Nishi, Y., Williams, R.S., In-operando synchronous time-multiplexed O K-edge x-ray absorption spectromicroscopy of functioning tantalum oxide memristors. Journal of Applied Physics, vol.118, no.3, pp.7, 15th July 2015.
  9. Landon, C.D., Wilke, R.H.T., Brumbach, M.T., Brennecka, G.L., Blea-Kirby, M., Ihlefeld, J.F., Marinella, M.J., Beechem, T.E., Thermal transport in tantalum oxide films for memristive applications. Applied Physics Letters, vol.107, no.2, pp.4, 15th July 2015.
  10. Tzouvadaki, I., Puppo, F., Doucey, M.-A., De Micheli, G., Carrara, S., Computational Study on the Electrical Behavior of Silicon Nanowire Memristive Biosensors. Sensors Journal, IEEE, vol., no., pp.1-16, 14th July 2015.
  11. Messerschmitt, F., Kubicek, M., Rupp, J.L.M., How Does Moisture Affect the Physical Property of Memristance for Anionic–Electronic Resistive Switching Memories?. Advanced Functional Materials, pp.1-9, 14th July 2015.
  12. Bürger, J., Goudarzi, A., Stefanovic, D., Teuscher, Ch., Computational Capacity and Energy Consumption of Complex Resistive Switch Networks. arXiv:1507.03716v1, [cs.ET], 14th July 2015.
  13. Kim, B.K., Nguyen, V.H., Kim, N.T., Song, H.J., Experimental study on chaotic behaviors of a Chua’s circuit based on variable memristor. IEICE Electronics Express, vol., no., pp.1-8, 13th July 2015.
  14. Chen, L., Li, Ch., Huang, T., Hu, X., Chen, Y., The Bipolar and Unipolar Reversible Behavior on the Forgetting Memristor Model. Neurocomputing, In Press, Accepted Manuscript, 10th July 2015.
  15. Fauzi, F.B., Othman, R., Mohamed, M.A., Herman, S.H., Azhar, A.Z.A., Ani, M.H., Transition Metal Oxide (TMO) Thin Film Memristor on Cu Substrate Using Dilute Electrodeposition Method. Materials Transactions, 10th July 2015.
  16. Bao, H., Park, J.H., Cao, J., Adaptive synchronization of fractional-order memristor-based neural networks with time delay. Nonlinear Dynamics, pp.12, 9th July 2015.
  17. Berdan, R., Vasilaki, E., Khiat, A., Indiveri, G., Serb, A., Prodromakis,T., Emulating short-term synaptic dynamics with memristive devices. arXiv:1507.02066v1, [cs.ET], 8th July 2015.
  18. Lastras-Montano, M.A., Ghofrani, A., Cheng, K.-T., Architecting Energy Efficient Crossbar-Based Memristive Random-Access Memories. ACM/IEEE Internation Symposium on Nano-scale Architectures (NANOARCH'15), pp.6, 8th July 2015.
  19. Tarkov, M.S., Mapping weight matrix of a neural network’s layer onto memristor crossbar. Optical Memory and Neural Networks, vol.24, no.2, pp.109-115, 7th July 2015.
  20. Slipko, V.A., Shumovskyi, M., Pershin, Y.V., Switching Synchronization in One-Dimensional Memristive Networks. arXiv:1507.01640v1, [cond-mat.mes-hall], 6th July 2015.
  21. Qin, S., Dong, R., Yan, X., Du, Q., A reproducible write–(read)n–erase and multilevel bio-memristor based on DNA molecule. Organic Electronics, vol.22, pp.147–153, July 2015.
  22. Dongale, T.D., Patil, K.P., Mullani, S.B., More, K.V., Delekar, S.D., Patil, P.S., Gaikwad, P.K., Kamat, R.K., Investigation of process parameter variation in the memristor based resistive random access memory (RRAM): Effect of device size variations. Materials Science in Semiconductor Processing, vol.35, pp.174–180, July 2015.
  23. Wang, L., Li, H., Duan, S., Huang, T., Wang, H., Pavlov associative memory in a memristive neural network and its circuit implementation. Neurocomputing, In Press, Accepted Manuscript, pp.12, 30th June 2015.
  24. Zhang, L., Chang, Z.J., A Memristor-Crossbar/CMOS Integrated Network for Pattern Classification and Recognition. International Conference on Computer Information Systems and Industrial Applications (CISIA 2015), pp.670-674, 28th June 2015.
  25. Vongehr, S., Meng, X., The Missing Memristor has Not been Found. Scientific Reports, vol.5, no.11657, pp.7, 25th June 2015.
[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] ... [82] >>

ajax_on