Evidence map›Paper›PMID 40136889›Full record

ArticleGels (Basel, Switzerland)2025

Improved Prediction of Elastic Modulus for Carbon-Based Aerogels Using Power-Scaling Model.

Cheng Bi, Mingyang Yang, Xu Yang, Ke Yun, Yuan Lu, Ying Zhang, Jie Zheng, Mu Du

Abstract read
In one paragraph

Article in Gels (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

8 authors.

Cheng BiXi'an Special Equipment Inspection Institute, Xi'an 710065, China.
Mingyang YangSchool of Resources Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.ORCID 0000-0002-8307-0869
Xu YangXi'an Special Equipment Inspection Institute, Xi'an 710065, China.
Ke YunXi'an Special Equipment Inspection Institute, Xi'an 710065, China.
Yuan LuXi'an Special Equipment Inspection Institute, Xi'an 710065, China.
Ying ZhangXi'an Bright Laser Technologies Co., Ltd., Xi'an 710072, China.
Jie ZhengXi'an Special Equipment Inspection Institute, Xi'an 710065, China.ORCID 0000-0002-2309-0286
Mu DuInstitute for Advanced Technology, Shandong University, Jinan 250100, China.ORCID 0000-0002-9614-5508

Funding

the Natural Science Basic Research Program of Shaanxi of China No. 2024JC-YBMS-449
6 · The paper itself

Abstract

The mechanical stability of carbon aerogels, particularly their thermal insulation performance, is closely linked to their elastic modulus. This property plays a crucial role in determining the material's overall mechanical stability. The objective of this study is to enhance the accuracy of elastic modulus predictions for carbon aerogels using a power-scaling model. By setting the prefactor of the Gibson and Ashby equation to 1.0, accurate predictions of the elastic modulus can be achieved if the correct scaling exponent is determined. Twelve sets of experimental data were used to fit the power-scaling model, revealing that the scaling exponent for the elastic modulus of carbon aerogels typically falls between 2.2 and 3.0. This range is narrower than the 2.0 to 4.0 range reported in the literature, with a median value of 2.6 providing reliable predictions. Additionally, a relationship between the solid thermal conductivity and the elastic modulus of carbon aerogels was established using a thermal conduction model. The study also examined the elastic modulus of carbon nanotube and graphene aerogels-both allotropes of carbon aerogel. By fitting experimental data into the power-scaling model, the scaling exponents for carbon nanotube aerogels and graphene aerogels were found to range from 2.7 to 3.5 and 2.7 to 3.7, respectively. Median exponent values of 3.1 and 3.2 were identified as optimal for predicting the elastic moduli of carbon nanotube and graphene aerogels.

Indexed as

carbon-based aerogelelastic moduluspower-scaling modelthermal conductivity

Identifiers

PMID40136889
PMCPMC11941829

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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.