Challenges hindering memristive neuromorphic hardware from going mainstream
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry
Link
http://www.nature.com/articles/s41467-018-07565-4.pdf
Reference15 articles.
1. Ceze, L. et al. Nanoelectronic neurocomputing: status and prospects In 2016 74th Annual Device Research Conference (DRC) (IEEE, Newark, DE, USA, 2016).
2. Stathopoulos, S. et al. Multibit memory operation of metal-oxide bi-layer memristors. Sci. Rep. 7, 17532 (2017).
3. Goux, L. et al. Ultralow sub-500nA operating current high-performance TiN/Al2O3/HfO2/Hf/TiN bipolar RRAM achieved through understanding-based stack-engineering. In 2012 Symposium on VLSI Technology (VLSIT), pp. 159–160 (IEEE, Honolulu, HI, USA, 2012).
4. Choi, B. J. et al. High-speed and low-energy nitride memristors. Adv. Funct. Mater. 26, 5290–5296 (2016).
5. Chen, A. and Lin, M. R. Variability of resistive switching memories and its impact on crossbar array performance. In 2011 International Reliability Physics Symposium (IRPS) (IEEE, Monterey, CA, USA, 2011).
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