ArticleNature communications2026
High-accuracy fatigue life prediction and early fracture warning for ferromagnetic metals via spin correlation amplification.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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
1 citing paper in PubMed.
- High-accuracy fatigue life prediction and early fracture warning for ferromagnetic metals via spin correlation amplification.Nature communications · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Sudden fatigue failure of metallic structures triggers thousands of safety accidents annually, causing tens of thousands of casualties and economic losses approaching $100 billion. Traditional detection techniques face challenges in capturing early fatigue damage features like subnanometer atomic displacements and localized metal bond ruptures. Based on the synchronized weakening mechanism between binding forces and exchange interactions during fatigue processes in ferromagnetic metals, this study obtained high-sensitivity fatigue observations by exciting the quantum spin correlation amplification effect via an external magnetic field. We conducted fatigue tests on 193 ferromagnetic metal samples over 3700 cumulative hours, establishing a mapping relationship between fatigue-induced magnetic flux changes and the degree of binding force weakening. This work integrated macroscopic fatigue life prediction with ferromagnetic material microstructural parameters, achieving a prediction accuracy with R
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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.