Evidence map›Paper›PMID 41022725›Full record

ArticleNature communications2025

Enriching conductive capping by alkaline treatment of perovskite quantum dots towards certified 18.3%-efficient solar cells.

Donglin Jia, Jiaxin Li, Kefan Zhu, Hengwei Qiu, Liang Li, Xing Zhao, Zhineng Lan, Huilin Yan, Fu Yang, Peng Cui and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. 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

15 authors.

Donglin JiaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing, China.
Jiaxin LiState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing, China.
Kefan ZhuState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing, China.
Hengwei QiuState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing, China.
Liang LiState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing, China.
Xing ZhaoState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing, China.
Zhineng LanState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing, China.
Huilin YanState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing, China.
Fu YangState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing, China.
Peng CuiState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing, China.ORCID http://orcid.org/0000-0002-5869-4493
Xin SunState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing, China.
Haifang LiState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing, China.
Pengkun ZhuState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing, China.
Shaofeng LiuState Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Haidian, Beijing, China.
Meicheng LiState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing, China. mcli@ncepu.edu.cn.ORCID http://orcid.org/0000-0002-0731-741X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52402255, 62404080, 52232008, 51972110, 52102245, 52302250, 22409061Natural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) Z240024
6 · The paper itself

Abstract

Perovskite quantum dots (PQD) hold great promise for next-generation photovoltaics. However, neat ester antisolvents hydrolyze inefficiently into target ligands under ambient conditions, compromising the formation of integral conductive capping on PQD surfaces. Herein, we construct alkaline environments, which facilitate the rapid substitution of pristine insulating oleate ligands with up to twice the conventional amount of hydrolyzed conductive counterparts. Theoretical calculations reveal that this environment renders ester hydrolysis thermodynamically spontaneous and lowers reaction activation energy by approximately 9-fold. Through tailoring potassium hydroxide coupled with methyl benzoate antisolvent for interlayer rinsing of PQD solids, the assembled light-absorbing layers exhibit fewer trap-states, homogeneous orientations, and minimal particle agglomerations. Consequently, the fabricated solar cells (0.036 cm

Identifiers

PMID41022725
PMCPMC12480046

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.