High‐Stability Ionic Conductive Filtering Transistors for Bio‐Inspired Signal Processing DOI
Wanrong Liu, Jingwen Wang, Pengshan Xie

и другие.

Small, Год журнала: 2025, Номер unknown

Опубликована: Июнь 2, 2025

Abstract Applying low‐pass filters in satellite communications effectively eliminates unwanted high‐frequency signals and noise during image capture, mirroring the human brain's selective filtering of sensory stimuli. To enhance efficiency signal processing for remote sensing images, a neuromorphic information array based on oxide field‐effect transistors are developed with HfO 2 ‐lithium aluminium germanium phosphate (LAGP)‐HfO stacked dielectric (HLH FETs). The Li‐ion solid‐state electrolytes stabilized complex environments (extreme temperature magnetic field) due to protective sandwich structure. Meanwhile, excellent insulating properties isolation effect high‐k layer ensure long‐term reliable response (over one year air). Hardware modules derived from HLH FETs not only applicable but also show promising potential edge computing artificial intelligence, facilitating pattern recognition reduction through biomimetic functions. This innovative approach offers new solution modern technology processing.

Язык: Английский

High‐Stability Ionic Conductive Filtering Transistors for Bio‐Inspired Signal Processing DOI
Wanrong Liu, Jingwen Wang, Pengshan Xie

и другие.

Small, Год журнала: 2025, Номер unknown

Опубликована: Июнь 2, 2025

Abstract Applying low‐pass filters in satellite communications effectively eliminates unwanted high‐frequency signals and noise during image capture, mirroring the human brain's selective filtering of sensory stimuli. To enhance efficiency signal processing for remote sensing images, a neuromorphic information array based on oxide field‐effect transistors are developed with HfO 2 ‐lithium aluminium germanium phosphate (LAGP)‐HfO stacked dielectric (HLH FETs). The Li‐ion solid‐state electrolytes stabilized complex environments (extreme temperature magnetic field) due to protective sandwich structure. Meanwhile, excellent insulating properties isolation effect high‐k layer ensure long‐term reliable response (over one year air). Hardware modules derived from HLH FETs not only applicable but also show promising potential edge computing artificial intelligence, facilitating pattern recognition reduction through biomimetic functions. This innovative approach offers new solution modern technology processing.

Язык: Английский

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