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Time of the last modification database: 2015-06-30 09:41:23
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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. 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.
  3. 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.
  4. 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.
  5. 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.
  6. Vongehr, S., Meng, X., The Missing Memristor has Not been Found. Scientific Reports, vol.5, no.11657, pp.7, 25th June 2015.
  7. Hu, S.G., Liu, Y., Chen, T.P., Wang, J.J., Yu, Q., Deng, L.J., Yin, Y., Hosaka, S., Associative memory realized by a reconfigurable memristive Hopfield neural network. Nature Communications, vol.6, no.7522, 25th June 2015.
  8. Pi, S., Ghadiri-Sadrabadi, M., Bardin, J.C., Xia, Q., Nanoscale memristive radiofrequency switches. Nature Communications, vol.6, no.7519, 25th June 2015.
  9. Halawani, Y., Mohammad, B., Homouz, D., Al-Qutayri, M., Saleh, H., Modeling and Optimization of Memristor and STT-RAM-Based Memory for Low-Power Applications. Very Large Scale Integration (VLSI) Systems, IEEE Transactions on, vol., no., pp.12, 23rd June 2015.
  10. Marani, R., Gelao, G., Perri, A.G., A review on memristor applications. arXiv:1506.06899v1, [cond-mat.mtrl-sci], 23rd June 2015.
  11. Krestinskaya, O., Fedorova, I., James, A.P., Memristor Load Current Mirror Circuit. arXiv:1506.06691v1, [cs.ET], 22nd June 2015.
  12. Chabi, D., Wang, Z., Bennett, C., Klein, J., Zhao, W., Ultra High Density Memristor Neural Crossbar for On-chip Supervised Learning. Nanotechnology, IEEE Transactions on, vol., no., pp.9, 22nd June 2015.
  13. Singh, T., Hybrid Memristor-CMOS (MeMOS) based Logic Gates and Adder Circuits. arXiv:1506.06735v1, [cs.ET], 19th June 2015.
  14. Deng, L., Li, G., Deng, N., Wang, D., Zhang, Z., He, W., Li, H., Pei, J., Shi, L., Complex Learning in Bio-plausible Memristive Networks. Scientific Reports, vol.5, no.10684, pp.1-10, 19th June 2015.
  15. Ascoli, A., Lanza, V., Corinto, F., Tetzlaff, R., Synchronization conditions in simple memristor neural networks. Journal of the Franklin Institute, In Press, Accepted Manuscript, 18th June 2015.
  16. Edwards, A.H., Barnaby, H.J., Campbell, K.A., Kozicki, M.N., Liu, W., Marinella, M.J., Reconfigurable Memristive Device Technologies. Proceedings of the IEEE, vol.103, no.7, pp.1004-1033, 18th June 2015.
  17. Noh, Y., Baek, Y., Hu, Q., Kang, C., Choi, Y., Lee, H., Yoon, T., Analog Memristive and Memcapacitive Characteristics of Pt-Fe2O3 Core-Shell Nanoparticles Assembly on p+-Si Substrate. Nanotechnology, IEEE Transactions on, vol., no., pp.8, 16th June 2015.
  18. Tulina, N.A., Rossolenko, A.N., Shmytko, I.M., Кolesnikov, N.N., Borisenko, D.N., Bozhko, S.I., Ionov, A.M., Rectification and resistive switching in mesoscopic heterostructures based on Bi2Se3. Materials Letters, In Press, Accepted Manuscript, pp.8, 16th June 2015.
  19. Braund, E., Miranda, E., BioComputer Music: Generating Musical Responses with Physarum polycephalum-based Memristors. 11th Computer Music Multidisciplinary Research (CMMR), pp.1-15, 16th June 2015.
  20. Hegab, A.M., Salem, N.M., Radwan, A.G., Chua, L.O., Neuron Model with Simplified Memristive Ionic Channels. International Journal of Bifurcation and Chaos, vol.25, no.6, pp.12, 15th June 2015.
  21. Adamatzky, A., Slime mould processors, logic gates and sensors. Philosophical Transactions A, 15th June 2015.
  22. Orak, I., Ürel, M., Bakan, G., Dana, A., Memristive behavior in a junctionless flash memory cell. Applied Physics Letters, vol.106, no.23, pp.5, 12th June 2015.
  23. Fryauf, D.M., Norris, K.J., Zhang, J., Wang, S.-Y., Kobayashi, N.P., Titanium oxide vertical resistive random-access memory device. Micro & Nano Letters, pp.3, 11th June 2015.
  24. Yakopcic, Ch., Taha, T.M., McLean, M., Method for ex-situ training in memristor-based neuromorphic circuit using robust weight programming method. Electronics Letters, vol.51, no.12, pp.899-900, 11th June 2015.
  25. Zuo, Ch., Cao, H., One of signatures of a memristor. Communications in Nonlinear Science and Numerical Simulation, In Press, Accepted Manuscript, pp.14, 10th June 2015.
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