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Time of the last modification database: 2021-06-21 03:31:41
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  1. Lin, D., Chen, X., Yu, G., Li, Z., Xia, Y., Global exponential synchronization via nonlinear feedback control for delayed inertial memristor-based quaternion-valued neural networks with impulses. Applied Mathematics and Computation, vol.401, pp.1-19, July 2021.
  2. Sharif, W.M.H.W.M., Idros, M.F.M., Al-Junid, S.A.M., Osman, F.N., Razak, A.H.A., Halim, A.K., Harun, M.A., Hybrid memristor-CMOS implementation of logic gates design using LTSpice. International Journal of Electrical and Computer Engineering (IJECE), vol.11, no.3, pp.1-8, June 2021.
  3. Li, R., Wang, Z., Dong, E., A new locally active memristive synapse coupled neuron model. Nonlinear Dynamics, pp.1-17, 31st May 2021.
  4. Lai, Q., Wan, Z., Kuate, P.D.K., Fotsin, H., Dynamical analysis, circuit implementation and synchronization of a new memristive hyperchaotic system with coexisting attractors. Modern Physics Letters B, vol.35, no.10, 10th April 2021.
  5. Li, L., Xu, R., Gan, Q., Lin, J., Synchronization of neural networks with memristor-resistor bridge synapses and Lévy noise. Neurocomputing, vol.432, pp.262-274, 7th April 2021.
  6. Ryu, J.-H., Kim, S., Kim, B., Hussain, F., Mahata, C., Ismail, M., Kim, Y., Bio-inspired synaptic functions from a transparent zinc-tin-oxide-based memristor for neuromorphic engineering. Applied Surface Science, vol.544, pp.1-9, 1st April 2021.
  7. Barraj, I., Bahloul, M.A., Masmoudi, M., Design of 3-5 GHz Tunable Memristor-based OOK-UWB Transmitter. AEU - International Journal of Electronics and Communications, vol.132, pp.1-10, April 2021.
  8. Ahir, N.A., Takaloo, A.V., Nirmal, K.A., Kundale, S.S., Bae, J., Chougale, M.Y., Kim, D.-K., Dongale, T.D., Capacitive coupled non-zero I–V and type-II memristive properties of the NiFe2O4–TiO2 nanocomposite. Materials Science in Semiconductor Processing, pp.1-10, April 2021.
  9. Panda, D., Kumari, R., Pradhan, A., Modelling and Evolution of Conducting Filament in TiOx Memristor Using Conducting Atomic Force Microscopy. Journal of Nanoscience and Nanotechnology, vol.21, no.3, pp.1590-1597, 1st March 2021.
  10. Kim, S., Eshraghian, J.K., Lee, J., Eshraghian, K., Cho, K., Quantized Convolutional Neural Network Implementation on a Parallel-Connected Memristor Crossbar Array for Edge AI Platforms. Journal of Nanoscience and Nanotechnology, vol.21, no.3, pp.1854-1861, 1st March 2021.
  11. Kim, K., Eshraghian, K., Kang, H., Cho, K., Nano-Crossbar Weighted Memristor-Based Convolution Neural Network Architecture for High-Performance Artificial Intelligence Applications. Journal of Nanoscience and Nanotechnology, vol.21, no.3, pp.1833-1844, 1st March 2021.
  12. Desai, T.R., Dongale, T.D., Patil, S.R., Tiwari, A.P., Pawar , P.K., Kamat, R.K., Kim, T.G., Synaptic learning functionalities of inverse biomemristive device based on trypsin for artificial intelligence application. Journal of Materials Research and Technology, vol.11, pp.1100-1110, March 2021.
  13. Liu, Y., Wang, C., Li, Z., Wang, Y., Lu, W., Huang, H., Effects of W/WO3-x junction on synaptic characteristics of W/WO3-x/ITO memristor. Physica E: Low-dimensional Systems and Nanostructures, vol.127, pp.1-7, March 2021.
  14. Caldarola, F., Pantano, P., Bilotta, E., Computation of Supertrack Functions for Chua's Oscillator and for Chua's Circuit with Memristor. Communications in Nonlinear Science and Numerical Simulation, vol.94, pp.1-16, March 2021.
  15. Rao, X.-B., Zhao, X.-P., Gao, J.-S., Zhang, J.-G., Self-organizations with fast-slow time scale in a memristor-based Shinriki's circuit. Communications in Nonlinear Science and Numerical Simulation, vol.94, pp.1-19, March 2021.
  16. Dongale, T.D., Khot, A.C., Takaloo, A.V., Kim, T.G., Facile synthesis of nickel cobaltite quasi-hexagonal nanosheets for multilevel resistive switching and synaptic learning applications. NPG Asia Materials, vol.13, no.16, pp.1-12, 26th February 2021.
  17. Bucolo, M., Buscarino, A., Famoso, C., Fortuna, L., Gagliano, S., Imperfections in Integrated Devices Allow the Emergence of Unexpected Strange Attractors in Electronic Circuits. IEEE Access, vol.9, pp.29573-29583, 24th February 2021.
  18. Tellini, B., Bologna, M., Chandıa, K.J., Macucci, M., Revisiting the Memristor Concept within Basic Circuit Theory. arXiv:2102.11669, [eess.SY], 23rd February 2021.
  19. Wang, Y., Gong, Y., Yang, L., Xiong, Z., Lv, Z., Xing, X., Zhou, Y., Zhang, B., Su, C., Liao, Q., Han, S.-T., MXene‐ZnO Memristor for Multimodal In‐Sensor Computing. Advanced Functional Materials, pp.1-10, 19th February 2021.
  20. Pisarev, A., Busygin, A., Bobylev, A., Gubin, A., Udovichenko, S., Fabrication technology and electrophysical properties of a composite memristor-diode crossbar used as a basis for hardware implementation of a biomorphic neuroprocessor. Microelectronic Engineering, vol.236, pp.1-9, 15th February 2021.
  21. Joshi, R., Acken, J.M., Utilizing Sneak Paths for Memristor Test Time Improvement. IETE Journal of Research, pp.1-10, 14th February 2021.
  22. Karthikeyan, A., Cimen, M.E., Akgul, A., Boz, A.F., Rajagopal, K., Persistence and coexistence of infinite attractors in a fractal Josephson junction resonator with unharmonic current phase relation considering feedback flux effect. Nonlinear Dynamics, vol.103, pp.1979-1998, 13th February 2021.
  23. Ma, C., Mou, J., Xiong, L., Banerjee, S., Liu, T., Han, X., Dynamical analysis of a new chaotic system: asymmetric multistability, offset boosting control and circuit realization. Nonlinear Dynamics, vol.103, pp.2867-2880, 13th February 2021.
  24. Aybar, I.K., Memristor-based oscillatory behavior in the FitzHugh–Nagumo and Hindmarsh–Rose models. Nonlinear Dynamics, vol.103, pp.2917-2929, 12th February 2021.
  25. Biolek, D., Kolka, Z., Biolková, V., Kvatinsky, S., Biolek, Z., (V)TEAM for SPICE Simulation of Memristive Devices With Improved Numerical Performance. IEEE Access, vol.9, pp.30242-30255, 12th February 2021.
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