A self-rectifying TaOy/nanoporous TaOx memristor synaptic array for learning and energy-efficient neuromorphic systems
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Title
A self-rectifying TaOy/nanoporous TaOx memristor synaptic array for learning and energy-efficient neuromorphic systems
Authors
Keywords
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Journal
NPG Asia Materials
Volume 10, Issue 12, Pages 1097-1106
Publisher
Springer Nature
Online
2018-12-05
DOI
10.1038/s41427-018-0101-y
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- (2018) Jun-Hyeok Choi et al. SCIENCE
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- (2015) M. Prezioso et al. NATURE
- Highly Uniform, Electroforming-Free, and Self-Rectifying Resistive Memory in the Pt/Ta2O5/HfO2-x/TiN Structure
- (2014) Jung Ho Yoon et al. ADVANCED FUNCTIONAL MATERIALS
- Fabrication, modification, and biomedical applications of anodized TiO2 nanotube arrays
- (2014) Kaifu Huo et al. RSC Advances
- High-Performance and Low-Power Rewritable SiOx1 kbit One Diode-One Resistor Crossbar Memory Array
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- (2013) Duygu Kuzum et al. NANOTECHNOLOGY
- Physical aspects of low power synapses based on phase change memory devices
- (2012) Manan Suri et al. JOURNAL OF APPLIED PHYSICS
- High precision tuning of state for memristive devices by adaptable variation-tolerant algorithm
- (2012) Fabien Alibart et al. NANOTECHNOLOGY
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- (2011) Poulomi Roy et al. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
- Analog Implementation of a Novel Resistive-Type Sigmoidal Neuron
- (2011) Golnar Khodabandehloo et al. IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS
- Nanoelectronic Programmable Synapses Based on Phase Change Materials for Brain-Inspired Computing
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- (2010) Hany A. El-Sayed et al. Nanoscale
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- Rewritable Switching of One Diode-One Resistor Nonvolatile Organic Memory Devices
- (2009) Byungjin Cho et al. ADVANCED MATERIALS
- Thermal Challenges in Next-Generation Electronic Systems
- (2008) Suresh V. Garimella et al. IEEE TRANSACTIONS ON COMPONENTS AND PACKAGING TECHNOLOGIES
- The missing memristor found
- (2008) Dmitri B. Strukov et al. NATURE
- What are artificial neural networks?
- (2008) Anders Krogh NATURE BIOTECHNOLOGY
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