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Small (Weinheim an der Bergstrasse, Germany) · 2026

Synergistic Dual Built-In Electric Fields Empower Mixed-Dimensional 1T'-MoTe2/WS2/p-GaAs Photodetectors with Field-Enhanced High Polarization Sensitivity for Intelligent Polarization-Encoded System.

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Wang Bing, Yuan Shuwen, Pan Yanyan, Liao Min, Zhang Zihao, Han Peiyang, Pu Zuocheng, Liu Chaoyang, Zheng Zhaoqiang, Huo Nengjie, Zheng Tao, Luo Dongxiang, Zhang Lu, Li Jingbo, Gao Wei

Аннотация

Mixed-dimensional heterostructures represent an ideal platform for high-performance optoelectronics by integrating two-dimensional material with conventional semiconductors. However, synergistically balancing efficient charge separation, dark-current suppression, and polarization sensitivity remains a primary challenge for practical applications. Herein, a high-performance 1T'-MoTe2/WS2/p-GaAs dual-heterojunction photodetector is demonstrated by integrating a lateral 1T'-MoTe2/WS2 junction atop an isolated p-GaAs substrate. By the band-modulation effect of GaAs, back-to-back built-in electric fields are constructed at the interfaces. This dual-field synergistic mechanism enables dark-current suppression while significantly enhancing carrier separation efficiency, effectively mitigating the trade-off between noise suppression and signal collection in mixed-dimensional devices. Consequently, it achieves a responsivity of 0.24 A/W, an external quantum efficiency of 81.9%, and a specific detectivity of 4.94 × 1011 Jones under 365 nm illumination at zero bias. Driven by the carrier transport transition from diffusion to drift mode, the device exhibits field-enhanced polarization sensitivity, with the polarization ratio surging from 1.95 (0 V) to 3.69 (-2 V) under 405 nm illumination. By virtue of its excellent polarization characteristics, we demonstrate a proof-of-concept convolutional neural network-assisted intelligent polarization-encoded system with a recognition accuracy of 91.1%. This work reveals the physics of mixed-dimensional dual-heterojunctions, establishing a foundation for next-generation intelligent sensing and physical-layer information security.

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

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