High responsivity phototransistors based on few-layer ReS2 for weak signal detection
Erfu Liu, Mingsheng Long, Junwen Zeng, Wei Luo, Yaojia Wang, Yiming, Pan, Wei Zhou, Baigeng Wang, Weida Hu, Zhenhua Ni, Yumeng You, Xueao Zhang,, Shiqiao Qin, Yi Shi, K. Watanabe, T. Taniguchi, Hongtao Yuan, Harold Y., Hwang, Yi Cui, Feng Miao, Dingyu Xing

TL;DR
This paper demonstrates high-responsivity phototransistors based on few-layer ReS2, achieving record photoresponsivity and enabling detection of weak optical signals, highlighting ReS2's potential for sensitive optoelectronic devices.
Contribution
The study introduces a ReS2-based phototransistor with record high responsivity and demonstrates its capability for weak signal detection, surpassing previous two-dimensional material devices.
Findings
Maximum photoresponsivity of 88,600 A/W achieved
Record responsivity compared to similar 2D materials
Successful detection of weak light sources like a lighter
Abstract
Two-dimensional transition metal dichalcogenides are emerging with tremendous potential in many optoelectronic applications due to their strong light-matter interactions. To fully explore their potential in photoconductive detectors, high responsivity and weak signal detection are required. Here, we present high responsivity phototransistors based on few-layer rhenium disulfide (ReS2). Depending on the back gate voltage, source drain bias and incident optical light intensity, the maximum attainable photoresponsivity can reach as high as 88,600 A W-1, which is a record value compared to other two-dimensional materials with similar device structures and two orders of magnitude higher than that of monolayer MoS2. Such high photoresponsivity is attributed to the increased light absorption as well as the gain enhancement due to the existence of trap states in the few-layer ReS2 flakes. It…
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.
