ArticleScientific reports2021
Computational design of biopolymer aerogels and predictive modelling of their nanostructure and mechanical behaviour.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Modeling of the Gelation Process in Cellulose Aerogels.Biomacromolecules · 2025Article
- Insights into the Potential of Biopolymeric Aerogels as an Advanced Soil-Fertilizer Delivery Systems.Gels (Basel, Switzerland) · 2023Review
- Nanostructured Bioaerogels as a Potential Solution for Particulate Matter Pollution.Gels (Basel, Switzerland) · 2023Review
- The effect of synthesis conditions and process parameters on aerogel properties.Frontiers in chemistry · 2023Review
- The Effect of Particle Necks on the Mechanical Properties of Aerogels.Materials (Basel, Switzerland) · 2022Article
- Soft-Tissue-Mimicking Using Hydrogels for the Development of Phantoms.Gels (Basel, Switzerland) · 2022Article
- Development and testing of a novel image analysis algorithm for descriptive evaluation of shape change of a shrinkable soft material.Scientific reports · 2021Article
- Constitutive Modeling of the Densification Behavior in Open-Porous Cellular Solids.Materials (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To address the challenge of reconstructing or designing the three-dimensional microstructure of nanoporous materials, we develop a computational approach by combining the random closed packing of polydisperse spheres together with the Laguerre-Voronoi tessellation. Open-porous cellular network structures that adhere to the real pore-size distributions of the nanoporous materials are generated. As an example, κ-carrageenan aerogels are considered. The mechanical structure-property relationships are further explored by means of finite elements. Here we show that one can predict the macroscopic stress-strain curve of the bulk porous material if only the pore-size distributions, solid fractions, and Young's modulus of the pore-wall fibres are known a priori. The objective of such reconstruction and predictive modelling is to reverse engineer the parameters of their synthesis process for tailored applications. Structural and mechanical property predictions of the proposed modelling approach are shown to be in good agreement with the available experimental data. The presented approach is free of parameter-fitting and is capable of generating dispersed Voronoi structures.
Identifiers
What OpenQuestion holds
Registered trials
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.