Protonic solid-state electrochemical synapse for physical neural networks
Designing energy efficient neural networks based on synaptic memristor devices remains a challenge. Here, the authors propose the development of a 3-terminal WO3 synaptic device based on proton intercalation in inorganic materials by leveraging a solid proton reservoir layer PdH x as the gate termin...
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| Autores principales: | , , , , , , , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2020
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/0856e109046d4101a3dd9ec0156e6679 |
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| Sumario: | Designing energy efficient neural networks based on synaptic memristor devices remains a challenge. Here, the authors propose the development of a 3-terminal WO3 synaptic device based on proton intercalation in inorganic materials by leveraging a solid proton reservoir layer PdH x as the gate terminal. |
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