Evidence map›Paper›PMID 41976219›Full record

ArticleMolecules (Basel, Switzerland)2026

Computational Study of Linker Polarity Effects on Optical Electron Transfer in Imine- and Acylhydrazone-Linked Covalent Organic Frameworks Using Fragment Models.

Junjin Chen, Dongdong Qi, Jianzhuang Jiang

Abstract read
In one paragraph

Article 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.

Junjin ChenBeijing Key Laboratory for Science and Application of Functional Molecular and Crystalline Materials, Department of Chemistry and Chemical Engineering, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Dongdong QiBeijing Key Laboratory for Science and Application of Functional Molecular and Crystalline Materials, Department of Chemistry and Chemical Engineering, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Jianzhuang JiangBeijing Key Laboratory for Science and Application of Functional Molecular and Crystalline Materials, Department of Chemistry and Chemical Engineering, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China.

Funding

Fundamental Research Funds for the Central Universities FRF-BD-25-014
6 · The paper itself

Abstract

Covalent organic frameworks (COFs) have become a research hotspot in photocatalytic materials in recent years due to their highly ordered structures, tunable topologies, and excellent optoelectronic properties. However, the relationship between linker polarity and the direction of optical electron transfer between adjacent structural units remains poorly understood. This study employs density functional theory (DFT) and time-dependent DFT (TD-DFT) calculations to systematically investigate the effects of polarity reversal in imine and acylhydrazone linkers, as well as different fragment models, on the effective optical net electron transfer. To this end, four representative fragment models (K01-K04) were constructed to simulate linear, multi-connected, and branched environments. The results show that, across all models, the direction of the effective optical net electron transfer from phenyl unit (

Indexed as

covalent organic frameworkDFTelectron transferphotosynthesispolarityTDDFT

Identifiers

PMID41976219
PMCPMC13074386

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.