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Related Experiment Video

Updated: Feb 6, 2026

Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements

Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements

Published on: February 28, 2016

A Self-Powered Polarization-Sensitive Neuromorphic Vision Device Enabled by Laser-Induced Symmetry Engineering.

Jin Peng^1,2, Guisheng Zou^1,2, Zehua Li^1,2

¹State Key Laboratory of Clean and Efficient Turbomachinery Power Equipment, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China.

|February 4, 2026

Summary

Researchers developed a novel laser process to create a self-powered, polarization-sensitive vision device. This multifunctional neuromorphic device integrates energy harvesting, sensing, and computation for advanced edge computing applications.

Keywords:

femtosecond laser physical reservoir polarization-sensitive self-powered symmetry engineering

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Area of Science:

Materials Science
Nanotechnology
Edge Computing

Background:

Edge computing demands multifunctional devices integrating energy harvesting, sensing, and computation.
Current approaches often involve complex configurations for single-device functionality.

Purpose of the Study:

To develop a facile method for fabricating a self-powered, polarization-sensitive neuromorphic vision device.
To address the challenge of creating intrinsic multifunctional devices for edge computing.

Main Methods:

Fabrication of a MoTe2-based architecture using ultrafast laser-induced symmetry engineering (LISE).
Engineering localized phase transitions for simultaneous energy band and crystal structure symmetry modification.
Utilizing photovoltaic volatile memory in an engineered FeFET for reservoir computing.

Main Results:

Achieved simultaneous symmetry engineering of energy bands and crystal structures via LISE.
Demonstrated a self-powered device with built-in photovoltaic effect and polarization sensitivity.
Implemented fully self-powered, all-optical reservoir computing for underwater imaging using the device.

Conclusions:

The LISE process enables the creation of high-performance multifunctional neuromorphic systems.
Ultrafast lasers are effective tools for manipulating material properties for advanced device applications.
The developed device offers a powerful hardware-level method for tuning computation via light polarization and gate voltage.