Single wavelength operating neuromorphic device based on a graphene-ferroelectric transistor
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arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866929196642598912 |
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| author | Maity, K. Dayen, J. -F. Doudin, B. Gumeniuk, R. Kundys, B. |
| author_facet | Maity, K. Dayen, J. -F. Doudin, B. Gumeniuk, R. Kundys, B. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_01679 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Single wavelength operating neuromorphic device based on a graphene-ferroelectric transistor Maity, K. Dayen, J. -F. Doudin, B. Gumeniuk, R. Kundys, B. Applied Physics Materials Science Optics 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. |
| title | Single wavelength operating neuromorphic device based on a graphene-ferroelectric transistor |
| topic | Applied Physics Materials Science Optics |
| url | https://arxiv.org/abs/2401.01679 |