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Published in 2022 at "Nanoscale"
DOI: 10.1039/d2nr01996e
Abstract: Neuromorphic computing is considered a promising method for resolving the traditional von Neumann bottleneck. Natural biomaterial-based artificial synapses are popular units for constructing neuromorphic computing systems while suffering from poor linearity and limited conduction states.…
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Keywords:
neuromorphic computing;
linear conductance;
artificial synapses;
conductance tuning ... See more keywords
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Published in 2023 at "IEEE Transactions on Nuclear Science"
DOI: 10.1109/tns.2023.3267606
Abstract: Binary metal oxide memristor-based artificial neural synapses offer the advantages of high-density information storage, high-efficiency computing, low power consumption, and strong antiradiation damage and are therefore promising aerospace electronic devices. However, the unclear damage trends…
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Keywords:
conductance;
hfox tiox;
conductance tuning;
proton irradiation ... See more keywords