Dislocation-Grain Boundary Interaction Dataset for FCC Cu

Interactions between dislocations and grain boundaries play a major role in controlling the strength and ductility of structural materials. Experimentally, assessing and probing geometric and stress-based criteria at the local level for dislocation transmission through grain boundaries remains challenging. Therefore, there have been many efforts to systematically generate datasets of dislocation-grain boundary interactions (DGI) via computational models such as molecular dynamics simulations. So far, most DGI datasets have focused only on the subset of nominal minimum-energy grain boundary structures, which limits their applicability, especially to materials processed far from equilibrium. We present a comprehensive database of dislocation-grain boundary interactions for edge, screw, and 60° mixed dislocation with 330 <110> and 257 <112> symmetric tilt grain boundaries (total of 587) in FCC Cu consisting of 73 minimum-energy grain boundary structures and 514 metastable structures. The dataset contains the outcomes for 5234 unique interactions for various dislocation types, grain boundary structures, and applied shear stresses.

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Publication Details

Journal
Scientific Data
Published
2025-06-07
DOI
https://doi.org/10.1038/s41597-025-05256-6
Citations
2
Primary Topic
Microstructure and mechanical properties
Type
article
Field-Weighted Citation Impact
1.04

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article

Dislocation-Grain Boundary Interaction Dataset for FCC Cu

Sumit Suresh, Saryu Fensin, Nithin Mathew, Khanh Dang et al.
2 citations
Scientific Data
Microstructure and mechanical properties
1.04
article

Dislocation-Grain Boundary Interaction Dataset for FCC Cu

Sumit Suresh, Saryu Fensin, Nithin Mathew, Khanh Dang, Avanish Mishra, Ian Chesser, Edward M. Kober
article en
2 citations

Abstract

Interactions between dislocations and grain boundaries play a major role in controlling the strength and ductility of structural materials. Experimentally, assessing and probing geometric and stress-based criteria at the local level for dislocation transmission through grain boundaries remains challenging. Therefore, there have been many efforts to systematically generate datasets of dislocation-grain boundary interactions (DGI) via computational models such as molecular dynamics simulations. So far, most DGI datasets have focused only on the subset of nominal minimum-energy grain boundary structures, which limits their applicability, especially to materials processed far from equilibrium. We present a comprehensive database of dislocation-grain boundary interactions for edge, screw, and 60° mixed dislocation with 330 <110> and 257 <112> symmetric tilt grain boundaries (total of 587) in FCC Cu consisting of 73 minimum-energy grain boundary structures and 514 metastable structures. The dataset contains the outcomes for 5234 unique interactions for various dislocation types, grain boundary structures, and applied shear stresses.

Scientific DataVol. 12(1)
Los Alamos National Laboratory (US), Los Alamos National Security (United States) (US)
Los Alamos National Laboratory
Climate action
Openalex Percentile: Top 25%
Microstructure and mechanical properties
1.04
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