Selective-Attention Neuromorphic Vision Classifications Based on ɑ-In<sub>2</sub>Se<sub>3</sub>Bi<sub>2</sub>O<sub>2</sub>Se Ferroelectric-Semiconductor Heterotransistors
Herein, we present multifunctional neuromorphic vision device based on the ɑ-In<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf>Se<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</inf>Bi<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf>O<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf>Se ferroelectricsemiconductor heterojunction. Central to this innovation is the in-plane voltage that drives out-of-plane polarization coupling within the ferroelectric heterojunction, which facilitates non-volatile conductance alterations through modulating the interface charge configuration with the robust stability demonstrated over 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</sup> cycles. Furthermore, the device exploits a photo-induced ferroelectric polarization reversal mechanism, resulting in a nonvolatile light response that persists for over 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> s, accompanied with an impressive photoresponsivity of up to 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">5</sup> A/W in the broad-spectrum range of 400-980 nm. We demonstrate the in-sensor pattern classification by the optoelectronic-ferroelectric driven spectrum-selective attention.
Authors
- Xinrui Guo
- Yu Zhu (ORCID: https://orcid.org/0000-0003-2818-5492)
- Shuo Liu (ORCID: https://orcid.org/0000-0002-3092-7638)
- Ming He (ORCID: https://orcid.org/0009-0004-7318-4899)
- Junling Liu (ORCID: https://orcid.org/0009-0006-9823-3129)
- Ru Huang
Institutions
- Peking University (CN)
Publication Details
- Published
- 2025-03-09
- DOI
- https://doi.org/10.1109/edtm61175.2025.11040245
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00