Highly Sensitive Visible–LWIR Ultrabroadband Photodetector via Electron–Phonon Synergy for Noncontact Human–Machine Interaction

ABSTRACT Ultrabroadband photodetectors based on photothermoelectric (PTE) materials hold great promise for enabling ubiquitous perception and intelligent automation in modern society. However, the simultaneous engineering of electrical and thermal transport in PTE materials remains a major challenge toward maximizing device performance. Here, we introduce an interstitial‐hydrogen doping strategy that enables the coordinated optimization of electron and phonon transport in SrTiO 3 . Specifically, the enhanced mobility (7.4 cm 2 ·V − 1 ·s − 1 ) arises from the reduced electron effective mass, whereas the suppressed thermal conductivity (9.95 W·m − 1 ·K − 1 ) originates from the lattice‐level local structural perturbations. Furthermore, an interstitial‐hydrogen‐engineered SrTiO 3 (HSTO) PTE photodetector array is realized for high‐sensitivity ultrabroadband detection. Across the spectral range from 532 nm to 8.47 µm, the device delivers a self‐powered responsivity exceeding 3 V/W, alongside with a response time of 87.9 ms. Moreover, shrinking the device dimensions and introducing a suspended structure can further boost the overall performance. With the assistance of machine‐learning algorithms, it enables fully automatic hand‐gesture recognition with an accuracy of 100%. This work provides a new approach to enhancing PTE conversion efficiency toward ultrabroadband photodetection and opens new avenues for noncontact intelligent human–machine interfaces.

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Publication Details

Journal
Advanced Functional Materials
Published
2026-08-13
DOI
https://doi.org/10.1002/adfm.77621
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
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article

Highly Sensitive Visible–LWIR Ultrabroadband Photodetector via Electron–Phonon Synergy for Noncontact Human–Machine Interaction

Changyi Pan, Yufeng Shan, Xutao Zhang, Yufeng Liu et al.
Advanced Functional Materials
Advanced Sensor and Energy Harvesting Materials
article

Highly Sensitive Visible–LWIR Ultrabroadband Photodetector via Electron–Phonon Synergy for Noncontact Human–Machine Interaction

Changyi Pan, Yufeng Shan, Xutao Zhang, Yufeng Liu, Haoxuan Li, Qirui Sun, Zihan Gao, Shaowen Xu, Ning Dai, Huiyong Deng, Longshuai Feng, Changlong Liu
article en

Abstract

ABSTRACT Ultrabroadband photodetectors based on photothermoelectric (PTE) materials hold great promise for enabling ubiquitous perception and intelligent automation in modern society. However, the simultaneous engineering of electrical and thermal transport in PTE materials remains a major challenge toward maximizing device performance. Here, we introduce an interstitial‐hydrogen doping strategy that enables the coordinated optimization of electron and phonon transport in SrTiO 3 . Specifically, the enhanced mobility (7.4 cm 2 ·V − 1 ·s − 1 ) arises from the reduced electron effective mass, whereas the suppressed thermal conductivity (9.95 W·m − 1 ·K − 1 ) originates from the lattice‐level local structural perturbations. Furthermore, an interstitial‐hydrogen‐engineered SrTiO 3 (HSTO) PTE photodetector array is realized for high‐sensitivity ultrabroadband detection. Across the spectral range from 532 nm to 8.47 µm, the device delivers a self‐powered responsivity exceeding 3 V/W, alongside with a response time of 87.9 ms. Moreover, shrinking the device dimensions and introducing a suspended structure can further boost the overall performance. With the assistance of machine‐learning algorithms, it enables fully automatic hand‐gesture recognition with an accuracy of 100%. This work provides a new approach to enhancing PTE conversion efficiency toward ultrabroadband photodetection and opens new avenues for noncontact intelligent human–machine interfaces.

Advanced Functional Materials
Northwestern Polytechnical University (CN), Shanghai Institute of Technical Physics (CN), Institute for Advanced Study (DE), Changzhou University (CN), University of Chinese Academy of Sciences (CN), East China Normal University (CN), Shanghai Institute of Technology (CN)
Openalex Percentile: Top 18%
Advanced Sensor and Energy Harvesting Materials
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