Evidence map›Paper›PMID 38893863›Full record

ArticleMaterials (Basel, Switzerland)2024

Single Crystal Perovskite/Graphene Self-Driven Photodetector with Fast Response Speed.

Xiao Liu, Xiangshun Geng, Guanhua Dun, Zeshu Wang, Jingbo Du, Dan Xie, Yi Yang, Tianling Ren

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Perovskite Heterostructures for Optoelectronic Applications.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
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

8 authors.

Xiao LiuThe Beijing National Research Center for Information Science and Technology (BNRist), School of Integrated Circuits, Tsinghua University, Beijing 100084, China.
Xiangshun GengThe Beijing National Research Center for Information Science and Technology (BNRist), School of Integrated Circuits, Tsinghua University, Beijing 100084, China.
Guanhua DunThe Beijing National Research Center for Information Science and Technology (BNRist), School of Integrated Circuits, Tsinghua University, Beijing 100084, China.
Zeshu WangThe Beijing National Research Center for Information Science and Technology (BNRist), School of Integrated Circuits, Tsinghua University, Beijing 100084, China.ORCID 0009-0004-2639-1422
Jingbo DuThe Beijing National Research Center for Information Science and Technology (BNRist), School of Integrated Circuits, Tsinghua University, Beijing 100084, China.
Dan XieThe Beijing National Research Center for Information Science and Technology (BNRist), School of Integrated Circuits, Tsinghua University, Beijing 100084, China.
Yi YangThe Beijing National Research Center for Information Science and Technology (BNRist), School of Integrated Circuits, Tsinghua University, Beijing 100084, China.
Tianling RenThe Beijing National Research Center for Information Science and Technology (BNRist), School of Integrated Circuits, Tsinghua University, Beijing 100084, China.

Funding

National Key R&D Program 2022YFB3204100, 2021YFC3002200, 2020YFA0709800National Natural Science Foundation of China U20A20168, 51861145202, 61874065, 62022047, 52072204
6 · The paper itself

Abstract

Recently, the combination of two-dimensional (2D) materials and perovskites has gained increasing attention in optoelectronic applications owing to their excellent optical and electrical characteristics. Here, we report a self-driven photodetector consisting of a monolayer graphene sheet and a centimeter-sized CH

Indexed as

grapheneheterostructureperovskiteself-driven photodetector

Identifiers

PMID38893863
PMCPMC11173920

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.