Evidence map›Paper›PMID 40483272›Full record

ArticleScientific data2025

Dislocation-Grain Boundary Interaction Dataset for FCC Cu.

Khanh Dang, Sumit Suresh, Avanish Mishra, Ian Chesser, Nithin Mathew, Edward M Kober, Saryu Fensin

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In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Khanh DangMaterials Science and Technology Division, Los Alamos National Laboratory, Los Alamos, New Mexico, 87544, USA.ORCID http://orcid.org/0000-0002-9686-4270
Sumit SureshMaterials Physics and Applications Division, Los Alamos National Laboratory, Los Alamos, New Mexico, 87544, USA.
Avanish MishraTheoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico, 87544, USA.ORCID http://orcid.org/0000-0003-3997-0445
Ian ChesserX Computational Physics Division, Los Alamos National Laboratory, Los Alamos, New Mexico, 87544, USA.
Nithin MathewTheoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico, 87544, USA.
Edward M KoberTheoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico, 87544, USA.
Saryu FensinMaterials Physics and Applications Division, Los Alamos National Laboratory, Los Alamos, New Mexico, 87544, USA. saryuj@lanl.gov.

Funding

DOE | LDRD | Los Alamos National Laboratory (Los Alamos Lab) 20210036DR
6 · The paper itself

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.

Identifiers

PMID40483272
PMCPMC12145448

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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.