Evidence map›Paper›PMID 42588435›Full record

ReviewMolecules (Basel, Switzerland)2026

Research Progress on Template Methods for Perovskite Nanomaterials in Solar Energy Conversion.

Jinran Li, Zhenrui Du, Jie Du

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Jinran LiCollege of Materials Science and Engineering, Hainan University, Haikou 570228, China.
Zhenrui DuCollege of Materials Science and Engineering, Hainan University, Haikou 570228, China.
Jie DuCollege of Materials Science and Engineering, Hainan University, Haikou 570228, China.ORCID 0000-0002-0529-5253

Funding

Hainan Province Science and Technology Special Fund ZDYF2023SHFZ110
6 · The paper itself

Abstract

Perovskite nanomaterials possess superior optoelectronic characteristics, flexible structural tunability, simple synthesis routes and low manufacturing costs, making them outstanding candidates for solar energy conversion. Nevertheless, their practical commercialization is greatly restricted by intrinsic drawbacks such as poor environmental stability, difficulties in large-area fabrication and potential environmental risks. As an efficient and feasible strategy to overcome these bottlenecks, the template method utilizes the spatial confinement and interfacial induction effects of templates to precisely modulate the nucleation, growth, morphology and crystalline quality of perovskite nanomaterials. This review systematically summarizes the recent advances in template-regulated synthesis of perovskite nanomaterials for solar energy applications. It comprehensively elaborates the regulatory mechanisms and representative research progress of inorganic, organic and composite templates in perovskite preparation, focusing on their unique effects on optimizing the crystalline quality and operational stability of perovskite photovoltaic materials. The current technical limitations and future development directions of template method are also discussed. This review aims to provide a reliable theoretical basis and practical guidance for the rational design, controllable fabrication and performance optimization of high-efficiency and stable perovskite materials for solar energy conversion.

Indexed as

crystal growthperovskite nanomaterialsphotovoltaic materialssolar energy conversiontemplate method

Identifiers

PMID42588435
PMCPMC13467654

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.