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Time of the last modification database: 2024-10-22 08:48:04
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  1. Singh, V.P., Singh, Ch.P., Ranjan, H., Pandey, S.K., Microwave-Assisted Fe3O4-Based Memristor for Brain-Inspired Computing. Emerging VLSI Devices, Circuits and Architectures, pp.175-183, 19th October 2024.
  2. Luo, S., Song, Y., Zhang, Y., Ouakad, H.M., Lewis, F.L., Dynamic Analysis and Neural-Adaptive Prescribed-Time Control of the FO Memristive Magnetic-Field Electromechanical Transducer. IEEE Transactions on Cybernetics, Early Access, pp.1-12, 18th October 2024.
  3. Afolabi, O.-M., Adeyemi, V.-A., Tlelo-Cuautle, E., Nuñez-Perez, J.-C., FPGA Realization of a Fractional-Order Model of Universal Memory Elements. Fractal and fractional, vol.8, no.10, 605, pp.1-19, 18th October 2024.
  4. Xu, L., Huang, Ch., Huang, G., He, D., Research on fractional-order memory system signals based on Loop-By-Loop Progressive Iterative Method. Scientific Reports, vol.14, no.24524, pp.1-18, 18th October 2024.
  5. Laucirica, G., Toimil-Molares, M.E., Marmisollé, W.A., Azzaroni, O., Unlocking Nanoprecipitation: A Pathway to High Reversibility in Nanofluidic Memristors. ACS Applied Materials & Interfaces, pp.1-9, 18th October 2024.
  6. Wang, Z., Luo, T., Liu, Ch., Liu, W., Goh, R.S.M., Wong, W.-F., Enabling Energy-Efficient Deployment of Large Language Models on Memristor Crossbar: A Synergy of Large and Small. IEEE Transactions on Pattern Analysis and Machine Intelligence, pp.1-17, 18th October 2024.
  7. Lv, Z., Han, S.-T., Zhou, Y., A biomimetic optoelectronic memristor that mimics the human vision system. Device, vol.2, no.10, 100552, pp.1-2, 18th October 2024.
  8. Kim, S.J., Im, I.H., Baek, J.H., Choi, S., Park, S.H., Lee, D.E., Kim, J.Y., Kim, S.Y., Park, N.-G., Yang, J.J., Jang, H.W., Linearly programmable two-dimensional halide perovskite memristor arrays for neuromorphic computing. Nature Nanotechnology, pp.1-15, 18th October 2024.
  9. Guo, J., Shi, Y., Cheng, Y., Luo, W., Projective synchronization for quaternion-valued memristor-based neural networks under time-varying delays. Networks and Heterogeneous Media, vol.19, no.3, pp.1156-1181, 17th October 2024.
  10. Yang, NN., Meng, TZ., Wu, ChJ., A novel memristor chaotic circuit and its application in weak signal detection of wind turbine fault. Modern Physics Letters B, Online Ready, 17th October 2024.
  11. Zhu, K., Bai, Y., Jiang, J., Dong, Q., Firing Analysis of a Memristive Synapse-Coupled Heterogeneous Neural Network with Activation Gradient. International Journal of Bifurcation and Chaos, Online Ready, 17th October 2024.
  12. Xu, Q., Wang, K., Feng, Ch., Fan, W., Wang, N., Dynamical effects of low-frequency and high-frequency current stimuli in a memristive Morris–Lecar neuron model. Chaos, Solitons & Fractals, vol.189, Part 1, 115646, pp.1-8, 17th October 2024.
  13. Lu, Ch., Meng, J., Song, J., Xu, K., Wang, T., Zhu, H., Sun, Q.-Q., Zhang, D.W., Chen, L., Reconfigurable Selector-Free All-Optical Controlled Neuromorphic Memristor for In-Memory Sensing and Reservoir Computing. ACS Nano, pp.1-9, 17th October 2024.
  14. Jeon, J.-Ch., Migliorini, A., Yoon, J., Jeong, J., Parkin, S.S.P., Multicore memristor from electrically readable nanoscopic racetracks. Science, vol.386, no.6719, pp.315-322, 17th October 2024.
  15. Hoffman, H., Non-Sequential Nanofabrication of a One-Transistor-One-Memristor Memory Cell for Neuromorphic Computing. Lund University LUP Student Papers, Master´s Thesis, pp.1-68, 16th October 2024.
  16. Gökgöz, B., Aydın, T., Gul, F., Optimizing Memristor-Based Synaptic Devices for Enhanced Energy Efficiency and Accuracy in Neuromorphic Machine Learning. IEEE Access, Early Access, pp.1-17, 16th October 2024.
  17. Alam, M.W., Jamir, A., Longkumer, B., Souayeh, B., Sadaf, S., Moirangthem, B., Bipolar resistive switching behavior of bilayer β-Ga2O3/WO3 thin film memristor device. Journal of Alloys and Compounds, In Press, Journal Pre-proof, pp.1-21, 16th October 2024.
  18. Yan, X., Niu, J., Fang, Z., Xu, J., Chen, Ch., Zhang, Y., Sun, Y., Tong, L., Sun, J., Yin, S., Shao, Y., Sun, S., Zhao, J., Lanza, M., Ren, T., Chen, J., Zhou, P., High-performance in domain matching epitaxial La:HfO2 film memristor for spiking neural network system application. Materials Today, In Press, Corrected Proof, pp.1-9, 15th October 2024.
  19. Bettayeb, M., Halawani, Y., Khan, M.U., Saleh, H., Mohammad, B., Efficient memristor accelerator for transformer self-attention functionality. Scientific Reports, vol.14, no.24173, pp.1-15, 15th October 2024.
  20. Ding, P., Hu, W., Geng, P., Yang, L., Multi-wing chaotic system based on meminductor and its application in image encryption. Physica Scripta, vol.99, no.11, 115247, pp.1-28, 15th October 2024.
  21. Luo, D., Wang, Ch., Deng, Q., Sun, Y., Dynamics in a Memristive Neural Network With Three Discrete Heterogeneous Neurons and Its Application. Nonlinear Dynamics, Accepted/In press, 15th October 2024.
  22. Kim, Y., Noh, H.Y., Koo, G., Lee, H., Choi, R.-H., Lee, S., Lee, M.-J., Study of Weight Quantization Associations over a Weight Range for Application in Memristor Devices. Micromachines, vol.15, no.10, 1258, pp.1-13, 15th October 2024.
  23. Varshney, K., Shukla, P., Prakash, B., Das, D.M., Rawat, B., Enhancing Resistive Switching Characteristics of MoS2-based Memristor through O2 Plasma Irradiation-Induced Defects. IEEE Journal of the Electron Devices Society, Early Access, pp.1-8, 14th October 2024.
  24. Fatemieh, S.E., Bagheralmoosavi, B., Reshadinezhad, M.R., Energy-Efficient and Fast Memristor-based Serial Multipliers Applicable in Image Processing. arXiv:2410.09953v1, [cs.ET], 13th October 2024.
  25. B, S., Divyashree, P, Sharma, S., Dwivedi, P., Das, S., Scalable In2S3 based optical memristor devices as artificial synapse for logic realization and neuromorphic computing. Materials Science in Semiconductor Processing, vol.185, 108985, pp.1-8, 12th October 2024.
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