Evidence map›Paper›PMID 40473643›Full record

ArticleScientific reports2025

Topological information entropy and spectral energy analysis in aminal-linked covalent organic frameworks.

Xiujun Zhang, Micheal Arockiaraj, Aravindan Maaran, C I Arokiya Doss

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. 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

4 authors.

Xiujun ZhangSchool of Artificial Intelligence, Chengdu Polytechnic, Chengdu, 610041, Sichuan, China.
Micheal ArockiarajDepartment of Mathematics, Loyola College, Chennai, 600034, India. marockiaraj@gmail.com.
Aravindan MaaranDepartment of Mathematics, Loyola College, University of Madras, Chennai, 600034, India.
C I Arokiya DossDepartment of Mathematics, Loyola College, University of Madras, Chennai, 600034, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of novel topologies in covalent organic frameworks (COFs) enhances reticular chemistry and materials science, offering a systematic approach to constructing COFs and uncovering intricate relationships between their structures and properties. The inclusion of aminal derived linkages enables COFs with greater structural diversity and exceptional functionalities. This study examines the graph-structural properties of aminal-linked COFs using entropy information and hybrid topological descriptors, determining their topological complexity. Additionally, we employ these descriptors as the basis for robust statistical regression models, facilitating the generation of graph energies for these frameworks and the analysis of HOMO-LUMO gaps.

Indexed as

Covalent organic frameworksEntropyGraph energyHOMO–LUMO gapsTopological descriptors

Identifiers

PMID40473643
PMCPMC12141726

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.