A fast, low-energy multi-state phase-change artificial synapse based on uniform partial-state transitions
Complementary metal–oxide–semiconductor (CMOS)-based neural architectures and memristive devices containing many artificial synapses are promising technologies that are being developed for pattern recognition and machine learning. However, the volatility and design complexity of traditional CMOS arc...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2021-09-01
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| Series: | APL Materials |
| Online Access: | http://dx.doi.org/10.1063/5.0056656 |