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DOE OSTI · 2570803

Dislocation-Grain Boundary Interaction Dataset for FCC Cu

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.

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Dang, Khanh [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000296864270), Suresh, Sumit [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000286944138), Mishra, Avanish [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000339970445), Chesser, Ian [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000175596740), Mathew, Nithin [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000223163190), Kober, Edward M. [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000253350931), Fensin, Saryu [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000181355353). 2025-06-07. Dislocation-Grain Boundary Interaction Dataset for FCC Cu. https://doi.org/10.1038/s41597-025-05256-6

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36 MATERIALS SCIENCE