Parylene Based Memristive Devices with Multilevel Resistive Switching for Neuromorphic Applications
Author:
Funder
Russian Science Foundation
Russian Foundation for Basic Research
Russian Science Support Foundation
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-019-47263-9.pdf
Reference54 articles.
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2. Ielmini, D. & Wong, H.-S. P. In-memory computing with resistive switching devices. Nature Electronics 1, 333–343 (2018).
3. Del Valle, J., Ramírez, J. G., Rozenberg, M. J. & Schuller, I. K. Challenges in materials and devices for resistive-switching-based neuromorphic computing. J. Appl. Phys. 124, 211101 (2018).
4. Li, Y., Wang, Z., Midya, R., Xia, Q. & Yang, J. J. Review of memristor devices in neuromorphic computing: materials sciences and device challenges. J. Phys. D: Appl. Phys. 51, 503002 (2018).
5. Van de Burgt, Y., Melianas, A., Keene, S. T., Malliaras, G. & Salleo, A. Organic electronics for neuromorphic computing. Nature Electronics 394, 386–397 (2018).
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