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Time of the last modification database: 2020-05-23 17:58:37
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  1. Al Junid, S.A.M., Simulation study of memristor aided logic (magic) based on CMOS NOR gate. Bulletin of Electrical Engineering and Informatics, vol.9, no.5, October 2020.
  2. Yang, J.-Q., Wang, R., Wang, Z.-P., Ma, Q.-Y., Mao, J.-Y., Ren, Y., Yang, X., Zhou, Y., Han, S.-T., Leaky integrate-and-fire neurons based on perovskite memristor for spiking neural networks. Nano Energy, vol.74, no.1048282, pp.1-11, August 2020.
  3. Wei, F., Chen, G., Wang, W., Finite-time synchronization of memristor neural networks via interval matrix method. Neural Networks, vol.127, pp.7-18, July 2020.
  4. Dupraz, E., Varshney, L.R., Noisy In-Memory Recursive Computation with Memristor Crossbars. International Symposium on Information Theory (ISIT), pp.1-6, 21st June 2020.
  5. Goswami, S., Thompson, D., Williams, R.S., Venkatesan, T., Colossal current and voltage tunability in an organic memristor via electrode engineering. Applied Materials Today, vol.19, pp.1-11, June 2020.
  6. Nahm, S., Lee, T.-G., Park, S.-M., Hwang, H.-G., Woo, J.-U., Improvement in conductance modulation linearity of artificial synapses based on NaNbO3 memristor. Applied Materials Today, vol.19, pp.1-8, June 2020.
  7. Lai, Q., Wan, Z., Kuate, P.D.K., Fotsin, H., Coexisting attractors, circuit implementation and synchronization control of a new chaotic system evolved from the simplest memristor chaotic circuit. Communications in Nonlinear Science and Numerical Simulation, vol.89, no.105341, pp.1-17, 15th May 2020.
  8. Zhu, X., Wang, Q., Lu, W.D., Memristor networks for real-time neural activity analysis. Nature Communications, vol.11, no.2439, pp.1-9, 15th May 2020.
  9. Fernandez, C., Gómez, J., Ortiz, J., Vourkas, I., Comprehensive Predictive Modeling of Resistive Switching Devices using a Bias-dependent Window Function Approach. Solid-State Electronics, pp.1-16, 14th May 2020.
  10. McConville, J.P.V., Lu, H., Wang, B., Tan, Y., Cochard, C., Conroy, M., Moore, K., Harvey, A., Bangert, U., Chen, L.-Q., Gruverman, A., Gregg, J.M., Ferroelectric Domain Wall Memristor. Advanced Functional Materials, pp.1-8, 13th May 2020.
  11. Wang, Y., Wu, S., Tian, L., Shi, L., SSM: a high-performance scheme for in-situ training of imprecise memristor neural networks. Neurocomputing, pp.1-36, 13th May 2020.
  12. Wang, L., Zou, H., A new emotion model of associative memory neural network based on memristor. Neurocomputing, pp.1-11, 12th May 2020.
  13. Li, J., Dong, Z., Luo, L., Duan, S., Wang, L., A Novel Versatile Window Function for Memristor Model With Application in Spiking Neural Network. Neurocomputing, pp.1-11, 12th May 2020.
  14. McFarlane, T., Bandera, Y., Grant, B., Zdyrko, B., Foulger, S.H., Vilčáková, J., Saha, P., Pfleger, J., Carbazole Derivatized n‐Alkyl Methacrylate Polymeric Memristors as Flexible Synaptic Substitutes. Advanced Electronic Materials, 11th May 2020.
  15. Woo, K.S., Wang, Y., Kim, Y., Kim, J., Kim, W., Hwang, C.S., Hardware‐Based Security: A Combination of a Volatile‐Memristor‐Based True Random‐Number Generator and a Nonlinear‐Feedback Shift Register for High‐Speed Encryption. Advanced Electronic Materials, vol.6, no.5, 11th May 2020.
  16. Volodin, V.A., Kamaev, G.N., VergnatIn, M., Negative and Positive Photoconductivity and Memristor Effect in Alloyed GeO [SiO] Films Containing Ge Nanoclusters. Physica Status Solidi, Rapid Research Letters, pp.1-6, 11th May 2020.
  17. Sah, M., Budhathoki, R.K., Memristive Model of Excitable Cells. arXiv:2005.05789, [eess.SY], 8th May 2020.
  18. Tan, Y., Wang, C., A simple locally active memristor and its application in HR neurons. Chaos: An Interdisciplinary Journal of Nonlinear Science, vol.30, no.5, pp.1-10, 8th May 2020.
  19. Zhou, Y., Liu, D., Wang, J., Cheng, Z., Liu, L., Yang, N., Liu, Y., Xia, T., Liu, X., Zhang, X., Ye, C., Xu, Z., Xiong, W., Chu, P.K., Yu, X.-F., A Black Phosphorus Based Multi-Color Light-Modulated Transparent Memristor with Enhanced Resistive Switching Performance. ACS Applied Materials & Interfaces, pp.1-7, 8th May 2020.
  20. Yan, Z., Chen, J., Hu, R., Huang, T., Chen, Y., Wen, S., Training memristor-based multilayer neuromorphic networks with SGD, momentum and adaptive learning rates. Neural Networks, vol.128, pp.142-149, 7th May 2020.
  21. Lübben, M., Cüppers, F., Mohr, J., von Witzleben, M., Breuer, U., Waser, R., Neumann, C., Valov, I., Design of defect-chemical properties and device performance in memristive systems. Science advances, vol.6, no.19, pp.1-10, 6th May 2020.
  22. Sokolov, A.S., Jeon, Y.-R., Ku, B., Choi, C., Ar ion plasma surface modification on the heterostructured TaOx/InGaZnO thin films for flexible memristor synapse. Journal of Alloys and Compounds, vol.822, pp.1-11, 5th May 2020.
  23. He, N., Liu, X., Gao, F., Zhang, Q., Zhang, M., Wang, Y., Shen, X., Wan, X., Lian, X., Hu, E., He, L., Xu, J., Tong, Y., Demonstration of 2D MXene Memristor: Stability, Conduction Mechanism, and Synaptic Plasticity. Materials Letters, vol.266, pp.1-4, 1st May 2020.
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