Self-Powered Au/ReS2 Polarization Photodetector with Multi-Channel Summation and Polarization-Domain Convolutional Processing

Polarization information is essential for material identification, stress mapping, biological imaging, and robust vision under strong illumination, yet conventional approaches rely on external polarization optics and active biasing, which are bulky, alignment-sensitive, and power-hungry. A more desirable route is to encode polarization at the pixel level and read it out at zero bias, enabling compact, low-noise, and polarization imaging. Low-symmetry layered semiconductors provide persistent in-plane anisotropy as a materials basis for polarization selectivity. Here, we construct an eight-terminal radial 'star-shaped' Au/ReS<sub>2</sub> metal-semiconductor junction array pixel that operates in a genuine photovoltaic mode under zero external bias based on the photothermoelectric effect. Based on this, electrical summation of phase-matched multi-junction channels increases the signal amplitude approximately linearly without sacrificing the two-lobed modulation depth, achieving 'gain by stacking' without external amplification. The device exhibits millisecond-scale transient response and robust cycling stability and, as a minimal pixel unit, realizes polarization-resolved imaging and pattern recognition. Treating linear combinations of channels as operators in the polarization domain, these results provide a general pixel-level foundation for compact, zero-bias, and scalable polarization cameras and on-pixel computational sensing.

Authors

Institutions

Publication Details

Journal
Sensors
Published
2025-09-01
DOI
https://doi.org/10.3390/s25175375
Citations
1
Primary Topic
2D Materials and Applications
Type
article
Field-Weighted Citation Impact
0.52

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Self-Powered Au/ReS2 Polarization Photodetector with Multi-Channel Summation and Polarization-Domain Convolutional Processing

Guowei Li, Ruo‐Xuan Sun, Zhibo Liu
1 citations
Sensors
2D Materials and Applications
0.52
article

Self-Powered Au/ReS2 Polarization Photodetector with Multi-Channel Summation and Polarization-Domain Convolutional Processing

Guowei Li, Ruo‐Xuan Sun, Zhibo Liu
article en
1 citations

Abstract

Polarization information is essential for material identification, stress mapping, biological imaging, and robust vision under strong illumination, yet conventional approaches rely on external polarization optics and active biasing, which are bulky, alignment-sensitive, and power-hungry. A more desirable route is to encode polarization at the pixel level and read it out at zero bias, enabling compact, low-noise, and polarization imaging. Low-symmetry layered semiconductors provide persistent in-plane anisotropy as a materials basis for polarization selectivity. Here, we construct an eight-terminal radial 'star-shaped' Au/ReS<sub>2</sub> metal-semiconductor junction array pixel that operates in a genuine photovoltaic mode under zero external bias based on the photothermoelectric effect. Based on this, electrical summation of phase-matched multi-junction channels increases the signal amplitude approximately linearly without sacrificing the two-lobed modulation depth, achieving 'gain by stacking' without external amplification. The device exhibits millisecond-scale transient response and robust cycling stability and, as a minimal pixel unit, realizes polarization-resolved imaging and pattern recognition. Treating linear combinations of channels as operators in the polarization domain, these results provide a general pixel-level foundation for compact, zero-bias, and scalable polarization cameras and on-pixel computational sensing.

SensorsVol. 25(17)
Shanxi University (CN), Institute of Applied Physics (RU)
National Natural Science Foundation of China
Openalex Percentile: Top 34%
2D Materials and Applications
0.52
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.

Self-Powered Au/ReS2 Polarization Photodetector with Multi-Channel Summation and Polarization-Domain Convolutional Processing — Guowei Li, Ruo‐Xuan Sun, et al. · Sensors (2025) | TGRS Research Map | TGRS