Evidence map›Paper›PMID 40801455›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Highly-Polarized Near-Infrared Photodetector Based on 2D Organic/Inorganic Van Der Waals Heterostructure.

Wen Xu, Shuchao Qin, Qianqian Du, Yongji Zhang, Yanxun Zhang, Wenjun Wang, Fengqiu Wang

Abstract read
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In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Wen XuSchool of Physical Science and Information Engineering, Liaocheng University, Liaocheng, 252059, China.
Shuchao QinSchool of Physical Science and Information Engineering, Liaocheng University, Liaocheng, 252059, China.ORCID https://orcid.org/0000-0002-7708-5183
Qianqian DuSchool of Physical Science and Information Engineering, Liaocheng University, Liaocheng, 252059, China.
Yongji ZhangSchool of Physical Science and Information Engineering, Liaocheng University, Liaocheng, 252059, China.
Yanxun ZhangSchool of Physical Science and Information Engineering, Liaocheng University, Liaocheng, 252059, China.
Wenjun WangSchool of Physical Science and Information Engineering, Liaocheng University, Liaocheng, 252059, China.
Fengqiu WangNational Laboratory of Solid State Microstructures and Jiangsu Provincial Key Laboratory of Advanced Photonic and Electronic Materials, School of Electronic Science and Engineering, Nanjing University, Nanjing, 210093, China.ORCID https://orcid.org/0000-0001-9823-5788

Funding

National Natural Science Foundation of China 62004086National Natural Science Foundation of China 62105135
6 · The paper itself

Abstract

Organic semiconductors have demonstrated exceptional performance due to their inherent advantages such as simple processability, and superior mechanical properties. Developing polarization-sensitive near-infrared (NIR) organic photodetectors is crucial for their application in target recognition, biological imaging, and wearable optoelectronics. However, high-performance NIR photon detection still faces challenges for organic materials, due to their intrinsic limitations including low carrier mobility, and poor exciton dissociation. Here, a polarization-sensitive NIR photodetector is demonstrated with a linear dichroic ratio of 5.3, employing a two-dimensional (2D) TiOPc single-crystal/graphene heterostructure. Remarkable absorption, optimized exciton diffusion of single crystal, and efficient interfacial charge transfer enable a high NIR responsivity of > 10

Indexed as

grapheneheterostructurenear‐infrared photodetectorTiOPc single crystal

Identifiers

PMID40801455
PMCPMC12622459

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.