An Intelligent Fiber-Shaped Photodetector Array Featuring High-Linearity Opto-Mechanical Response
Year: 2026
Type: preprint
Abstract: The rapid evolution of artificial intelligence (AI) technologies is accelerating the development of fiber-based photodetectors (FPDs), driving further transformation and progress of the electronics industry. Nevertheless, the transition of FPDs from laboratory prototypes to viable daily-use technologies necessitates extensive research on multifunctional capabilities. Addressing this gap, we pioneer a highly intelligent strain-opto dual-mode sensing platform based on MoS₂/PEDOT:PSS heterojunction FPD array for wearable applications. Circumventing traditional vertical heterostructures that focus on piezoelectric-induced intensity enhancement, our work prioritizes linearity optimization through precise interfacial engineering. A key breakthrough of this work lies in the integration of PEDOT:PSS as a conductive pathway, which endows the device with an exceptionally linear strain-dependent photocurrent response (R 2 ཞ0.93), thereby providing a reliable foundation for co-located photoelectric and mechanical sensing. First-principles calculations uncover that the higher-loaded PEDOT:PSS layer introduces uniformly distributed metal-induced gap states (MIGS) and stabilizes the Fermi level via pinning effects, ensuring that strain-induced band offsets modulate carrier transport in a strictly linear regime. Furthermore, to address the inherent signal coupling in practical wearable scenarios, a system-level AI-driven decoupling framework is implemented, enabling the resolution of complex, overlapping inputs into independent data streams with high fidelity.
Source: Research Square
Institutions: Jiangsu University, Jiangsu Normal University Kewen College
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7225786162