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Time of the last modification database: 2015-05-26 09:49:16
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  1. 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.
  2. 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.
  3. 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.
  4. Mane, P., Talati, N., Riswadkar, A., Raghu, R., Ramesha, C.K., Stateful-NOR based reconfigurable architecture for logic implementation. Microelectronics Journal, vol.46, no,6, pp.12, June 2015.
  5. Shekhawat, N.S., Jha, S.K., Extending parallel programming education beyond the von Neumann architecture. Workshop on Parallel and Distributed Computing Education (Edupar), pp.2, 25th May 2015.
  6. Danilin, S.N., Shchanikov, S.A., Galushkin, A.I., The Research of Memristor-based Neural Network Components Operation Accuracy in Control and Communication Systems. The Fundamental Problems of Communication and Control Theory, SIBCON 2015, pp.1-6, 21st May 2015.
  7. Liu, B., Wen, W., Chen, Y., Li, X., Wu, Ch.-R., Ho, T.-Y., EDA Challenges for Memristor-Crossbar based Neuromorphic Computing. GLSVLSI '15, Proceedings of the 25th edition on Great Lakes Symposium on VLSI, pp.185-188, 20th May 2015.
  8. Sanchez-Lopez, C., Carrasco-Aguilar, M.A., Muniz-Montero, C., A 16 Hz–160 kHz memristor emulator circuit. AEU - International Journal of Electronics and Communications, In Press, Uncorrected Proof, pp.12, 20th May 2015.
  9. Wang, Y., Wen, W., Li, H., Hu, M., A Novel True Random Number Generator Design Leveraging Emerging Memristor Technology. GLSVLSI '15, Proceedings of the 25th edition on Great Lakes Symposium on VLSI, pp.271-276, 20th May 2015.
  10. Maier, P., Hartmann, F., Mauder, T., Emmerling, M., Schneider, C., Kamp, M., Höfling, S., Worschech, L., Memristive operation mode of a site-controlled quantum dot floating gate transistor. Applied Physics Letters, vol.106, no.20, pp.4, 18th May 2015.
  11. Sakthivel, R., Anbuvithya, R., Anbuvithya, K., Prakash, P., Combined H∞ and passivity state estimation of memristive neural networks with random gain fluctuations. Neurocomputing, In Press, Accepted Manuscript, pp.23, 16th May 2015.
  12. Marranghello, F.S., Callegaro, V., Martins, M.G.A., Reis, A.I., Ribas, R.P., Factored Forms for Memristive Material Implication Stateful Logic. Emerging and Selected Topics in Circuits and Systems, IEEE Journal on, vol., no., pp.12, 15th May 2015.
  13. Mathiyalagan, K., Park, J.H., Sakthivel, R., Synchronization for delayed memristive BAM neural networks using impulsive control with random nonlinearities. Applied Mathematics and Computation, vol.259, pp.967–979, 15th May 2015.
  14. Ascoli, A., Tetzlaff, R., Biolek, Z., Kolka, Z., Biolková, V., Biolek, D., The Art of Finding Accurate Memristor Model Solutions. Emerging and Selected Topics in Circuits and Systems, IEEE Journal on, vol., no., pp.10, 14th May 2015.
  15. Wang, M., Lian, X., Pan, Y., Zeng, J., Wang, Ch., Liu, E., Wang, B., Yang, J.J., Miao, F., Xing, D., A selector device based on graphene–oxide heterostructures for memristor crossbar applications. Applied Physics A, Springer-Verlag Berlin Heidelberg, pp.5, 13th May 2015.
  16. Yu, D., Iu, H.H.-C., Liang, Y., Fernando, T., Chua, L.O., Dynamic Behavior of Coupled Memristor Circuits. Circuits and Systems I: Regular Papers, IEEE Transactions on, vol.62, no.6, pp.1-10, 12th May 2015.
  17. Nielen, L., Siemon, A., Tappertzhofen, S., Waser, R., Menzel, S., Linn, E., Study of Memristive Associative Capacitive Networks for CAM Applications. Emerging and Selected Topics in Circuits and Systems, IEEE Journal on, vol., no., pp.9, 12th May 2015.
  18. Erokhina, S., Sorokin, V., Erokhin, V., Polyaniline-Based Organic Memristive Device Fabricated by Layer-By-Layer Deposition Technique. Electronic Materials Letters (EML), pp.14, 11th May 2015.
  19. Abdurahman, A., Jiang, H., Teng, Z., Finite-time synchronization for memristor-based neural networks with time-varying delays. Neural Networks, In Press, Accepted Manuscript, pp.21, 11th May 2015.
  20. Radwan, A.G., Fouda, M.E., Memristor: Models, Types, and Applications. On the Mathematical Modeling of Memristor, Memcapacitor, and Meminductor, vol.26, pp.13-49, 10th May 2015.
  21. Radwan, A.G., Fouda, M.E., Memristor-Based Multilevel Digital Systems. On the Mathematical Modeling of Memristor, Memcapacitor, and Meminductor, vol.26, pp.121-150, 10th May 2015.
  22. Radwan, A.G., Fouda, M.E., Memristor-Based Relaxation Oscillator Circuits. On the Mathematical Modeling of Memristor, Memcapacitor, and Meminductor, vol.26, pp.85-119, 10th May 2015.
  23. Radwan, A.G., Fouda, M.E., Memcapacitor: Modeling, Analysis, and Emulators. On the Mathematical Modeling of Memristor, Memcapacitor, and Meminductor, vol.26, pp.151-185, 10th May 2015.
  24. Radwan, A.G., Fouda, M.E., Memcapacitor Based Applications. On the Mathematical Modeling of Memristor, Memcapacitor, and Meminductor, vol.26, pp.187-205, 10th May 2015.
  25. Radwan, A.G., Fouda, M.E., Meminductor: Modeling, Analysis, and Emulators. On the Mathematical Modeling of Memristor, Memcapacitor, and Meminductor, vol.26, pp.207-227, 10th May 2015.
[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] ... [77] >>

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