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Dislocation-grain boundary interaction dataset for FCC Cu


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{
  "updated": "2024-10-08T15:33:05.000333+00:00", 
  "metadata": {
    "_oai": {
      "id": "oai:materialscloud.org:2362"
    }, 
    "version": 1, 
    "is_last": true, 
    "_files": [
      {
        "size": 7110429443, 
        "checksum": "md5:8ebb3f7c40529d3c624d5ddd2e04055c", 
        "key": "DisGB_data.zip", 
        "description": "Data for dislocation-GB interaction in Cu"
      }, 
      {
        "size": 1452, 
        "checksum": "md5:e16d67a42ada7abd972c13fba8336097", 
        "key": "README.txt", 
        "description": "Readme file explains the content of the zip database."
      }
    ], 
    "keywords": [
      "Dislocation-Grain Boundary Interaction", 
      "Material Science", 
      "Grain boundary structure"
    ], 
    "description": "Dislocation-grain boundary play a major role in the strength and ductility of structural materials. An understanding of governing parameters such as grain boundary local atomic structures on the outcome of this interaction can accelerate new alloy design strategies that tailors materials\u2019 microstructures. Previous studies have focused only on the subset of minimum-energy grain boundary structures. We present a comprehensive database of dislocation-grain boundary interaction for edge, screw, and 60o mixed dislocation with 449 < 110 > and < 112 > symmetric tilt grain boundary in FCC Cu consisting of 67 minimum-energy grain boundary structures and 389 metastable ones. The dataset contains the outcomes for 5593 unique interactions with a particular dislocation type, grain boundary structure, and applied shear stress.", 
    "contributors": [
      {
        "affiliations": [
          "Materials Science and Technology Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA"
        ], 
        "givennames": "Khanh", 
        "email": "kqdang@lanl.gov", 
        "familyname": "Dang"
      }, 
      {
        "affiliations": [
          "Materials Physics and Applications Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA"
        ], 
        "givennames": "Sumit", 
        "email": "sumit.athikavilsuresh@wolfspeed.com", 
        "familyname": "Suresh"
      }, 
      {
        "affiliations": [
          "Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA"
        ], 
        "givennames": "Avanish", 
        "email": "avanish@lanl.gov", 
        "familyname": "Mishra"
      }, 
      {
        "affiliations": [
          "X Computational Physics Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA"
        ], 
        "givennames": "Ian", 
        "email": "ichesser@lanl.gov", 
        "familyname": "Chesser"
      }, 
      {
        "affiliations": [
          "Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA"
        ], 
        "givennames": "Nithin", 
        "email": "mathewni@lanl.gov", 
        "familyname": "Matthew"
      }, 
      {
        "affiliations": [
          "Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA"
        ], 
        "givennames": "Edward", 
        "email": "emk@lanl.gov", 
        "familyname": "Kober"
      }, 
      {
        "affiliations": [
          "Materials Physics and Applications Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA"
        ], 
        "givennames": "Saryu", 
        "email": "saryuj@lanl.gov", 
        "familyname": "Fensin"
      }
    ], 
    "edited_by": 576, 
    "owner": 1503, 
    "doi": "10.24435/materialscloud:66-am", 
    "title": "Dislocation-grain boundary interaction dataset for FCC Cu", 
    "license": "Creative Commons Attribution 4.0 International", 
    "mcid": "2024.150", 
    "id": "2362", 
    "conceptrecid": "2361", 
    "status": "published", 
    "publication_date": "Oct 08, 2024, 17:33:04", 
    "license_addendum": null, 
    "references": [
      {
        "type": "Preprint", 
        "citation": "Khanh Dang, Sumit Suresh, Avanish Mishra, Ian Chesser, Nithin Matthew, Edward M Kober1, and Saryu Fensin, submitted to Scientific Data."
      }
    ]
  }, 
  "id": "2362", 
  "revision": 10, 
  "created": "2024-09-27T19:59:29.580322+00:00"
}