Evidence map›Paper›PMID 40808133›Full record

ArticlePolymers2025

Prediction and Interpretability Study of the Glass Transition Temperature of Polyimide Based on Machine Learning and Molecular Dynamics Simulations.

Wenjia Huo, Boyang Liang, Xiang Wu, Zhenchang Zhang, Weichao Zhou, Haihong Wang, Xupeng Ran, Yaoyao Bai, Rongrong Zheng

Abstract read

In one paragraph

Article in Polymers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it

0cells of the map it votes in

2citing 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

2 citing papers in PubMed.

Boosting the Prediction Accuracy of Glass Transition Temperature in Polyimides: A Hybrid Machine Learning Approach Integrating Morgan Fingerprints and Molecular Descriptors.Molecular informatics · 2026
Article
Thermal and Mechanical Behavior of Polyimide-Polyurea Copolymers: Insights from Molecular Dynamics Simulations.Polymers · 2026
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

9 authors.

Wenjia HuoSchool of Petrochemical Engineering, Shenyang University of Technology, Liaoyang 111003, China.

Boyang LiangSchool of Petrochemical Engineering, Shenyang University of Technology, Liaoyang 111003, China.

Xiang WuSchool of Petrochemical Engineering, Shenyang University of Technology, Liaoyang 111003, China.

Zhenchang ZhangSchool of Petrochemical Engineering, Shenyang University of Technology, Liaoyang 111003, China.

Weichao ZhouSchool of Petrochemical Engineering, Shenyang University of Technology, Liaoyang 111003, China.

Haihong WangSchool of Petrochemical Engineering, Shenyang University of Technology, Liaoyang 111003, China.

Xupeng RanSchool of Petrochemical Engineering, Shenyang University of Technology, Liaoyang 111003, China.

Yaoyao BaiSchool of Petrochemical Engineering, Shenyang University of Technology, Liaoyang 111003, China.

Rongrong ZhengSchool of Petrochemical Engineering, Shenyang University of Technology, Liaoyang 111003, China.

Funding

Basic Research Project of Shenyang Institute of Technology Education Department LJ212410142154Liaoning Province Science and Technology Plan Joint Plan (Fund) Project No. 2023-MSLH-254Liaoning Provincial Department of Education, Youth Innovation Cultivation Project No. LJ222410142069National Key R&D Program of China 2022YFE0112300National Key R&D Program of China 2023YFB3812400National Natural Science Foundation of China No. 52103225National Science and Technology Major Project Grant No. Y2022-VI-0002-0033National Science and Technology Major Project JCKY2022110C072National Science and Technology Major Project JKCY2021604B005

6 · The paper itself

Abstract

The utilization of machine learning (ML) has brought more opportunities for the discovery of high-performance materials with specific properties to replace traditional engineering materials. The glass transition temperature (T

Indexed as

glass transition temperaturemachine learningmolecular dynamics simulationpolyimide

Identifiers

PMID40808133

DOI10.3390/polym17152083

PMCPMC12349611

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.