Evidence map›Paper›PMID 42195800›Full record

ArticleMaterials (Basel, Switzerland)2026

Spatial Gradient Analysis of Single-Particle Hydration and Inter-Particle Interactions in Cement-Fly Ash-Slag System Using BSE-EDS Images.

Lixuan Mao, Zheyuan Cao, Lihui Li, Bin Zhang, Fuqiang He

Abstract read
In one paragraph

Article in Materials (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

5 authors.

Lixuan MaoSchool of Civil Engineering and Architecture, Xiamen University of Technology, Xiamen 361024, China.
Zheyuan CaoSchool of Civil Engineering and Architecture, Xiamen University of Technology, Xiamen 361024, China.
Lihui LiIntelligent Infrastructure Operation and Maintenance Technology Innovation Team of Yunnan Provincial Department of Education, Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming 650500, China.
Bin ZhangSchool of Engineering, Computing and Mathematics, University of Plymouth, Plymouth PL4 8AA, UK.
Fuqiang HeSchool of Civil Engineering and Architecture, Xiamen University of Technology, Xiamen 361024, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ion diffusion, the precipitation of hydration products, and interactions between different reactive particles are critical for optimizing the design of low-carbon cementitious systems. However, at the sub-micron scale, the complex spatial and chemical interactions among diverse components at an early age remain challenging to quantify. In this study, a machine learning-assisted BSE-EDS analytical method was applied to quantify both the phase assemblage and the spatial element features of cement-fly ash-slag ternary systems. The equidistant strip delineation of single-particle and rectangular inter-particle path methods were employed to quantify ionic diffusion gradients in the ternary systems. Single-particle strip analysis quantified the hydration front of clinker, slag and fly ash, while inter-particle analysis identified a persistent calcium-starvation zone at slag-fly ash interfaces. This region is characterized by exceptionally high Si/Ca ratios and a lower average atomic number and material density due to ionic diffusion limitations. These findings identify the slag-fly ash interface as the primary microstructural weak link, providing a robust methodology for capturing the chemical heterogeneities and optimizing the design of sustainable cementitious materials.

Indexed as

BSE-EDS image analysiscalcium migrationmachine learningspatial element featuresternary cementitious systems

Identifiers

PMID42195800
PMCPMC13208158

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.