Abstract
This work showcases the physical insights of a core-shell dual-gate (CSDG) nanowire transistor as an artificial synaptic device with short/long-term potentiation and long-term depres-sion (LTD) operation. Short-term potentiation (STP) is a temporary potentiation of a neural net-work, and it can be transformed into long-term potentiation (LTP) through repetitive stimulus. In this work, floating body effects and charge trapping are utilized to show the transition from STP to LTP while de-trapping the holes from the nitride layer shows the LTD operation. Furthermore, linearity and symmetry in conductance are achieved through optimal device design and biases. In a system-level simulation, with CSDG nanowire transistor a recognition accuracy of up to 92.28% is obtained in the Modified National Institute of Standards and Technology (MNIST) pattern recognition task. Complementary metal-oxide-semiconductor (CMOS) compatibility and high recognition accuracy makes the CSDG nanowire transistor a promising candidate for the implementation of neuromorphic hardware.
Original language | English |
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Article number | 1773 |
Journal | Nanomaterials |
Volume | 11 |
Issue number | 7 |
DOIs | |
State | Published - Jul 2021 |
Bibliographical note
Publisher Copyright:© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Keywords
- Band-to-band tunneling
- Charge-trap synaptic transistor
- Long-term potentiation (LTP)
- Neural network
- Neuromorphic system
- Pattern recognition
- Short-term potentiation (STP)