Modeling the Gallium-Aluminum Wetting Transition via Topological Data Analysis of Interfacial Network Collapse

Historically, the mechanics of Liquid Metal Embrittlement (LME) have been bifurcated between thermodynamic wetting models and dislocation-mediated stress concentration mechanisms. While these frameworks successfully capture macroscopic wetting criteria and localized plastic deformation, they exhibit a fundamental limitation: they treat the grain boundary as a uniform, continuous continuum. Consequently, they struggle to resolve the principal paradox of LME; namely, how liquid metal species such as gallium can induce catastrophic, brittle-like degradation across a rigid polycrystalline interface within seconds under macroscopically zero external stress. Our computational framework demonstrates that resolving this paradox requires abandoning continuum approximations in favor of discrete network topology. By representing the grain boundary as a weighted simplicial complex K, we shift the analytical focus from continuum stress tensors to the multiscale evolution of atomic coordination geometry.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-14
DOI
https://doi.org/10.5281/zenodo.23355146
Primary Topic
Topological and Geometric Data Analysis
Type
preprint
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preprint

Modeling the Gallium-Aluminum Wetting Transition via Topological Data Analysis of Interfacial Network Collapse

Jonathan ƒ(n) Reed
Zenodo (CERN European Organization for Nuclear Research)
Topological and Geometric Data Analysis
preprint

Modeling the Gallium-Aluminum Wetting Transition via Topological Data Analysis of Interfacial Network Collapse

Jonathan ƒ(n) Reed
preprint en

Abstract

Historically, the mechanics of Liquid Metal Embrittlement (LME) have been bifurcated between thermodynamic wetting models and dislocation-mediated stress concentration mechanisms. While these frameworks successfully capture macroscopic wetting criteria and localized plastic deformation, they exhibit a fundamental limitation: they treat the grain boundary as a uniform, continuous continuum. Consequently, they struggle to resolve the principal paradox of LME; namely, how liquid metal species such as gallium can induce catastrophic, brittle-like degradation across a rigid polycrystalline interface within seconds under macroscopically zero external stress. Our computational framework demonstrates that resolving this paradox requires abandoning continuum approximations in favor of discrete network topology. By representing the grain boundary as a weighted simplicial complex K, we shift the analytical focus from continuum stress tensors to the multiscale evolution of atomic coordination geometry.

Zenodo (CERN European Organization for Nuclear Research)
Topological and Geometric Data Analysis
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