InSe Ferroelectric Field-Effect Transistor for Simultaneous Perception–Memory–Computation All-in-One Broadband Motion Detection

With the ardent use of artificially intelligent robots, broadband motion detection and recognition (BMDR) technology with simultaneous perception-memory-computation functions is becoming essentially important. However, the existing state-of-the-art all-in-one BMDR remains insufficient. Herein, we demonstrate an InSe ferroelectric field-effect transistor exhibiting broadband responsivity from 450 to 973 nm, attributed to the moderate band gap of approximately 1.3 eV in InSe. The InSe device displays memory functionality derived from the ferroelectric properties of Pb(Zr<sub>0.2</sub>Ti<sub>0.8</sub>)O<sub>3</sub> (PZT) and computational capability enabled by its progressive nonvolatile modulation of conductance, which facilitates artificial synapse-weight updating. Hence, the InSe ferroelectric field-effect transistor has a broadband perception-memory-computation functionality. Importantly, by integrating bias-based nonvolatile positive-direction/negative-direction photoconductive mechanisms with interframe differencing computations, the proposed InSe ferroelectric field-effect transistor achieves efficient motion detection and recognition (MDR) of a moving rabbit. The detected moving-rabbit images are subsequently fed into a neural network built on conductance mapping principles for classification, achieving 100% accuracy after only 40 training epochs, outperforming comparable results. The proposed work enables the development of the next-generation all-in-one BMDR technology based on two-dimensional devices.

Authors

Institutions

Publication Details

Journal
ACS Nano
Published
2025-11-13
DOI
https://doi.org/10.1021/acsnano.5c16269
Primary Topic
Ferroelectric and Negative Capacitance Devices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

InSe Ferroelectric Field-Effect Transistor for Simultaneous Perception–Memory–Computation All-in-One Broadband Motion Detection

Hengji Li, Tian‐Ling Ren, Lin Han, Jianguo Hu et al.
ACS Nano
Ferroelectric and Negative Capacitance Devices
article

InSe Ferroelectric Field-Effect Transistor for Simultaneous Perception–Memory–Computation All-in-One Broadband Motion Detection

Hengji Li, Tian‐Ling Ren, Lin Han, Jianguo Hu, Guan‐Hua Dun, Jing Chen, Zhenhua Wang, Ping Li, Xiaoming Wu, Zheng Zhang, Junqiang Zhu
article en

Abstract

With the ardent use of artificially intelligent robots, broadband motion detection and recognition (BMDR) technology with simultaneous perception-memory-computation functions is becoming essentially important. However, the existing state-of-the-art all-in-one BMDR remains insufficient. Herein, we demonstrate an InSe ferroelectric field-effect transistor exhibiting broadband responsivity from 450 to 973 nm, attributed to the moderate band gap of approximately 1.3 eV in InSe. The InSe device displays memory functionality derived from the ferroelectric properties of Pb(Zr<sub>0.2</sub>Ti<sub>0.8</sub>)O<sub>3</sub> (PZT) and computational capability enabled by its progressive nonvolatile modulation of conductance, which facilitates artificial synapse-weight updating. Hence, the InSe ferroelectric field-effect transistor has a broadband perception-memory-computation functionality. Importantly, by integrating bias-based nonvolatile positive-direction/negative-direction photoconductive mechanisms with interframe differencing computations, the proposed InSe ferroelectric field-effect transistor achieves efficient motion detection and recognition (MDR) of a moving rabbit. The detected moving-rabbit images are subsequently fed into a neural network built on conductance mapping principles for classification, achieving 100% accuracy after only 40 training epochs, outperforming comparable results. The proposed work enables the development of the next-generation all-in-one BMDR technology based on two-dimensional devices.

ACS NanoVol. 19(46)
United States Department of Transportation (US), University of Electronic Science and Technology of China (CN), Shandong University (CN), Fudan University (CN), Suzhou University of Science and Technology (CN), City University (BD), Marine Biology Institute of Shandong Province (CN), Systemic Risk Centre (GB), National Engineering Research Center for Information Technology in Agriculture (CN), State Key Laboratory of ASIC and System, Suzhou City University, Shandong University of Science and Technology (CN), College of Marin (US), Tsinghua University (CN)
Openalex Percentile: Top 66%
Ferroelectric and Negative Capacitance Devices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.