Boosting the Self-driven Properties of 2D Photodetectors through Synergistic Asymmetrical Effects
Yihong Sun, Jiefei Zhu, Yingjie Luo, Jiwei Chen, Yueyi Sun, Min Zhang,, Cary Y. Yang, Changjian Zhou

TL;DR
This paper demonstrates how combining asymmetrical contact effects in 2D material-based photodetectors significantly enhances their self-driven performance, enabling efficient low-power optoelectronic applications.
Contribution
It introduces a novel strategy of synergistically combining asymmetrical contacts and geometries to boost self-driven properties of 2D photodetectors, validated through experiments and theory.
Findings
Achieved open-circuit voltage of 0.58V in WSe2 MSM photodetectors.
Demonstrated high responsivity of 5.77 A/W at zero bias.
Showed potential for underwater visible light communication.
Abstract
Self-driven photodetectors (SDPDs) transform photon energy into electrical energy without external voltage, which makes them highly advantageous for applications such as low-power communication and imaging systems. Two-dimensional materials (2DMs) provide ideal platforms for SDPDs thanks to their band structures covering ultraviolet to infrared spectrum, strong light absorption efficiencies, and high carrier mobilities. However, the lack of stable doping methods and the complicated 2DMs multilayer stacking techniques pose tremendous difficulties for 2DMs to adopt the same device structures (i.e. PN junctions) as bulk materials, and the resultant self-driven performance remains at a low level. This work reveals how different asymmetrical effects can be combined to synergistically boost self-driven properties based on typical 2D metal-semiconductor-metal (MSM) photodetectors. Using WSe2…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsModular Robots and Swarm Intelligence
