Computational statistics of segregation and dislocation activities of hydrogen charged free surfaces and grain boundaries
Matthew J. Melfi, S. Mohadeseh Taheri-Mousavi

TL;DR
This study uses molecular dynamics and grand canonical Monte Carlo simulations to analyze how hydrogen interacts with free surfaces and grain boundaries in polycrystalline materials, revealing segregation patterns and effects on dislocation activity.
Contribution
It provides a detailed atomic-scale statistical analysis of hydrogen segregation and dislocation behavior at free surfaces and grain boundaries, which was previously difficult to obtain experimentally.
Findings
Hydrogen distributes evenly along free surfaces but reduces dislocation density.
Hydrogen segregates preferentially at grain boundaries with misorientation angles ≤25°.
High misorientation angles (>45°) increase dislocation density in hydrogen-charged samples.
Abstract
Revealing statistics of H-defect interactions provides insights into significant ductility loss due to the particular strain partitioning in H-charged structural alloys. Experimental investigation of these interactions is extremely difficult, labor-intensive, and costly. Here, we used MD and GCMC simulations and studied H-diffusion deformation at polycrystalline scale with atomic resolution efficiently. To study H-free surface interactions, large pillars including all possible angles and planes of free surfaces were modeled. To study H-grain boundary interactions, several polycrystalline models containing comparable statistics of low and high angle grain boundaries were examined. We studied the statistics of H-segregation tendencies based on free surface angles and grain boundary types. Dislocation activities were also classified for these various types and total density and strength…
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Taxonomy
TopicsMetal and Thin Film Mechanics · Non-Destructive Testing Techniques · Particle accelerators and beam dynamics
