Single wavelength operating neuromorphic device based on a graphene-ferroelectric transistor
| Autor: | Maity, K., Dayen, J. -F., Doudin, B., Gumeniuk, R., Kundys, B. |
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| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | ACS Appl. Mater. Interfaces 15, 48, 55948 (2023) |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1021/acsami.3c10010 |
| Popis: | As global data generation continues to rise, there is an increasing demand for revolutionary in-memory computing methodologies and efficient machine learning solutions. Despite recent progress in electrical and electro-optical simulations of machine learning devices, the all-optical nonthermal function remains challenging, with single wavelength operation still elusive. Here we report on an optical and monochromatic way of neuromorphic signal processing for brain-inspired functions, eliminating the need for electrical pulses. Multilevel synaptic potentiation-depression cycles are successfully achieved optically by leveraging photovoltaic charge generation and polarization within the photoferroelectric substrate interfaced with the graphene sensor. Furthermore, the demonstrated low-power prototype device is able to reproduce exact signal profile of brain tissues yet with more than two orders of magnitude faster response. The reported properties should trigger all-optical and low power artificial neuromorphic development based on photoferroelectric structures. Comment: 9 pages, 6 figures, research article |
| Databáze: | arXiv |
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