Thermally‐Strained Black Phosphorus Photovoltaics Toward Spatially‐Resolved Biomimetic Vision Enhancement

The bulk photovoltaic effect presents a promising opportunity for smart photovoltaic sensing devices without the need for complex junction configurations. Black phosphorus (BP), with thickness- and direction-sensitive photoelectric characteristics and industrial scalability, is well-suited for developing integrated and reconfigurable imaging sensors. Although BP-based hetero-/homo-structures have demonstrated notable photovoltaic effects, the development of non-junction BP devices remains challenging. Herein, thick BP is engineered with directional spontaneous polarization along the armchair direction by artificially applying anisotropic thermal strains. This modified BP exhibits an ultrabroad photovoltaic response spanning 365-1800 nm, achieving a peak photocurrent density of ≈52.2 mA cm<sup>-2</sup> under µW-level illumination, setting a new performance benchmark compared to existing non-junction or homojunction BP-based photovoltaic devices. Furthermore, robust operation stability and millisecond-level response within the human eye visual range indicate the potential for biomimetic vision applications. Leveraging these superiorities, a spatially-resolved imaging sensor that incorporates multi-optical parameters modulated synaptic plasticity and photoelectric transport nonlinearity, is developed. Such an all-in-one sensor allows for synergistic perception and parallel processing of blended images, demonstrating an enhanced anisotropic recognition capability of up to 94.1%. The thermally-strained symmetry-breaking approach paves the way for nonlinear photovoltaic effects in low-symmetry layered materials, advancing high-integration low-power neuromorphic sensors.

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Publication Details

Journal
Advanced Materials
Published
2025-11-05
DOI
https://doi.org/10.1002/adma.202517056
Citations
3
Primary Topic
2D Materials and Applications
Type
article
Field-Weighted Citation Impact
1.55
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article

Thermally‐Strained Black Phosphorus Photovoltaics Toward Spatially‐Resolved Biomimetic Vision Enhancement

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3 citations
Advanced Materials
2D Materials and Applications
1.55
article

Thermally‐Strained Black Phosphorus Photovoltaics Toward Spatially‐Resolved Biomimetic Vision Enhancement

Yibing Liu, Yan Mo, Weitao Su, Jing–Yu Ji, Liang Hu, Senjiang Yu, Mingliang Cheng, Yijun Huang, Chenxi Lu
article en
3 citations

Abstract

The bulk photovoltaic effect presents a promising opportunity for smart photovoltaic sensing devices without the need for complex junction configurations. Black phosphorus (BP), with thickness- and direction-sensitive photoelectric characteristics and industrial scalability, is well-suited for developing integrated and reconfigurable imaging sensors. Although BP-based hetero-/homo-structures have demonstrated notable photovoltaic effects, the development of non-junction BP devices remains challenging. Herein, thick BP is engineered with directional spontaneous polarization along the armchair direction by artificially applying anisotropic thermal strains. This modified BP exhibits an ultrabroad photovoltaic response spanning 365-1800 nm, achieving a peak photocurrent density of ≈52.2 mA cm<sup>-2</sup> under µW-level illumination, setting a new performance benchmark compared to existing non-junction or homojunction BP-based photovoltaic devices. Furthermore, robust operation stability and millisecond-level response within the human eye visual range indicate the potential for biomimetic vision applications. Leveraging these superiorities, a spatially-resolved imaging sensor that incorporates multi-optical parameters modulated synaptic plasticity and photoelectric transport nonlinearity, is developed. Such an all-in-one sensor allows for synergistic perception and parallel processing of blended images, demonstrating an enhanced anisotropic recognition capability of up to 94.1%. The thermally-strained symmetry-breaking approach paves the way for nonlinear photovoltaic effects in low-symmetry layered materials, advancing high-integration low-power neuromorphic sensors.

Advanced MaterialsVol. 38(6)
Dalian University of Technology (CN), Dalian University (CN), Hangzhou Dianzi University (CN), Zhejiang University (CN)
Openalex Percentile: Top 16%
2D Materials and Applications
1.55
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