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Related Experiment Video

Updated: May 10, 2026

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors

Published on: June 23, 2018

2D Reconfigurable Memory for Integrated Optical Sensing and Multifunctional Image Processing.

Jie Cheng¹, Xinyu Ouyang¹, Xin Tang¹

¹The State Key Laboratory of Precision Manufacturing for Extreme Service Performance, College of Mechanical and Electrical Engineering, Central South University, Changsha 410073, China.

ACS Applied Materials & Interfaces

|April 16, 2025

Summary

This summary is machine-generated.

Researchers developed a novel in-sensor computing architecture using a ferroelectric phototransistor. This breakthrough integrates optical sensing, storage, and image processing, overcoming the "memory wall" for advanced artificial vision systems.

Keywords:

in-sensor computing optical sensing reconfigurable memory synaptic behavior α-In2Se3

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Area of Science:

Materials Science
Nanotechnology
Computer Engineering

Background:

The separation of sensing, memory, and computing units creates a
memory wall
hindering data-centric applications.
Existing in-sensor computing approaches face challenges in seamlessly integrating optical sensing, storage, and image processing.

Purpose of the Study:

To demonstrate a novel in-sensor computing architecture.
To integrate optical sensing, storage, and image processing within a single device.
To leverage ferroelectric properties for reconfigurable computing.

Main Methods:

Utilized a ferroelectric-defined reconfigurable alpha-Indium Selenide (α-In2Se3) phototransistor.
Explored three distinct polarization states for photoresponse.
Programmed nonvolatile synaptic properties via electrical stimulation and optical writing/electrical erasing.
Simulated in-sensor image edge detection using a 3x3 device array.

Main Results:

Achieved a linear and distinguishable photoresponse across three polarization states.
Demonstrated a maximum photoresponse current difference of 2.17 × 10^-6 A and retention time > 500 s.
Enabled 112 distinct nonvolatile conductance states with a nonlinearity of 0.12.
Successfully performed optoelectronic logic, decoding, and simulated image edge detection.

Conclusions:

The demonstrated in-sensor computing architecture shows strong potential for 2D ferroelectric semiconductors.
This platform offers a promising solution for next-generation multifunctional artificial vision systems.
The integrated design overcomes key limitations in current sensor technology.