Phase stabilization principle and precipitate-host lattice influences for Al–Mg–Si–Cu alloy precipitates View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-09

AUTHORS

F. J. H. Ehlers, S. Wenner, S. J. Andersen, C. D. Marioara, W. Lefebvre, C. B. Boothroyd, R. Holmestad

ABSTRACT

In this work, we seek to elucidate a common stabilization principle for the metastable and equilibrium phases of the Al–Mg–Si–Cu alloy system, through combined experimental and theoretical studies. We examine the structurally known well-ordered Al–Mg–Si–Cu alloy metastable precipitates along with experimentally observed disordered phases, using high angle annular dark field scanning transmission electron microscopy. A small set of local geometries is found to fully explain all structures. Density functional theory based calculations have been carried out on a larger set of structures, all fully constructed by the same local geometries. The results reveal that experimentally reported and hypothetical Cu-free phases from the set are practically indistinguishable with regard to formation enthalpy and composition. This strongly supports a connection of the geometries with a bulk phase stabilization principle. We relate our findings to the Si network substructure commonly observed in all Mg–Al–Si(–Cu) metastable precipitates, showing how this structure can be regarded as a direct consequence of the local geometries. Further, our proposed phase stabilization principle clearly rests on the importance of metal-Si interactions. Close links to the Al–Mg–Si precipitation sequence are proposed. More... »

PAGES

6413-6426

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10853-014-8371-4

DOI

http://dx.doi.org/10.1007/s10853-014-8371-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1016613198


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0912", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Materials Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Norwegian University of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.5947.f", 
          "name": [
            "Department of Physics, Norwegian University of Science and Technology (NTNU), 7491, Trondheim, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ehlers", 
        "givenName": "F. J. H.", 
        "id": "sg:person.014434472014.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014434472014.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Norwegian University of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.5947.f", 
          "name": [
            "Department of Physics, Norwegian University of Science and Technology (NTNU), 7491, Trondheim, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wenner", 
        "givenName": "S.", 
        "id": "sg:person.016521227035.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016521227035.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "SINTEF", 
          "id": "https://www.grid.ac/institutes/grid.4319.f", 
          "name": [
            "Materials and Chemistry, SINTEF, 7465, Trondheim, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Andersen", 
        "givenName": "S. J.", 
        "id": "sg:person.010703267735.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010703267735.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "SINTEF", 
          "id": "https://www.grid.ac/institutes/grid.4319.f", 
          "name": [
            "Materials and Chemistry, SINTEF, 7465, Trondheim, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Marioara", 
        "givenName": "C. D.", 
        "id": "sg:person.010613536235.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010613536235.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Groupe de Physique des Mat\u00e9riaux", 
          "id": "https://www.grid.ac/institutes/grid.464188.7", 
          "name": [
            "Groupe de Physique des Mat\u00e9riaux, Universit\u00e9 de Rouen, 76801, St. Etienne du Rouvray Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lefebvre", 
        "givenName": "W.", 
        "id": "sg:person.0745145456.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0745145456.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Forschungszentrum J\u00fclich", 
          "id": "https://www.grid.ac/institutes/grid.8385.6", 
          "name": [
            "Ernst Ruska-Centre for Microscopy and Spectroscopy with Electrons (ER-C) and Peter Gr\u00fcnberg Institute (PGI), Forschungszentrum J\u00fclich, 52425, J\u00fclich, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Boothroyd", 
        "givenName": "C. B.", 
        "id": "sg:person.01005744022.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01005744022.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Norwegian University of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.5947.f", 
          "name": [
            "Department of Physics, Norwegian University of Science and Technology (NTNU), 7491, Trondheim, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Holmestad", 
        "givenName": "R.", 
        "id": "sg:person.012220063135.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012220063135.41"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.actamat.2004.05.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004489081"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.actamat.2012.02.039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005641848"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0304-3991(99)00017-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007262948"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0927-0256(96)00008-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008708156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.msea.2006.08.084", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011601744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1359-6454(01)00229-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012957057"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.msea.2004.09.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013500310"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01418619908212027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013942148"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10853-011-5431-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023575762", 
          "https://doi.org/10.1007/s10853-011-5431-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0079-6425(03)00031-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026803059"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0079-6425(03)00031-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026803059"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/14786435.2012.700129", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026889565"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0921-5093(03)00624-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028179898"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0921-5093(03)00624-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028179898"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.actamat.2006.02.034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028936071"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/14786430701287377", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029379433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/14786435.2013.857051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037101181"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.actamat.2007.02.032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039198552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.actamat.2012.04.032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042161744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.actamat.2006.11.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042210584"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/14786435.2012.693214", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051251940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.commatsci.2013.08.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051469529"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.matchar.2012.10.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052800987"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp970448v", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056124269"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp970448v", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056124269"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.3269714", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057928387"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrev.136.b864", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060429813"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrev.136.b864", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060429813"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrev.140.a1133", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060431417"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrev.140.a1133", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060431417"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.32.8412", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060539099"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.32.8412", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060539099"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.46.6671", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060564150"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.46.6671", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060564150"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.47.558", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060566310"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.47.558", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060566310"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.76.174113", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060622821"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.76.174113", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060622821"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1124199", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062453513"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.277.5330.1221", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062557814"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3891/acta.chem.scand.34a-0001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071497819"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4028/www.scientific.net/msf.217-222.713", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072105614"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4028/www.scientific.net/msf.638-642.390", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072132282"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-48761-8_43", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084721352", 
          "https://doi.org/10.1007/978-3-319-48761-8_43"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-09", 
    "datePublishedReg": "2014-09-01", 
    "description": "In this work, we seek to elucidate a common stabilization principle for the metastable and equilibrium phases of the Al\u2013Mg\u2013Si\u2013Cu alloy system, through combined experimental and theoretical studies. We examine the structurally known well-ordered Al\u2013Mg\u2013Si\u2013Cu alloy metastable precipitates along with experimentally observed disordered phases, using high angle annular dark field scanning transmission electron microscopy. A small set of local geometries is found to fully explain all structures. Density functional theory based calculations have been carried out on a larger set of structures, all fully constructed by the same local geometries. The results reveal that experimentally reported and hypothetical Cu-free phases from the set are practically indistinguishable with regard to formation enthalpy and composition. This strongly supports a connection of the geometries with a bulk phase stabilization principle. We relate our findings to the Si network substructure commonly observed in all Mg\u2013Al\u2013Si(\u2013Cu) metastable precipitates, showing how this structure can be regarded as a direct consequence of the local geometries. Further, our proposed phase stabilization principle clearly rests on the importance of metal-Si interactions. Close links to the Al\u2013Mg\u2013Si precipitation sequence are proposed.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10853-014-8371-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.4680254", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1312116", 
        "issn": [
          "0022-2461", 
          "1573-4811"
        ], 
        "name": "Journal of Materials Science", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "18", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "49"
      }
    ], 
    "name": "Phase stabilization principle and precipitate-host lattice influences for Al\u2013Mg\u2013Si\u2013Cu alloy precipitates", 
    "pagination": "6413-6426", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "4f2842bd87dc078d2f6d59da82f7117d1ec398c01f5ea1490e9c4ac4e22a45bb"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10853-014-8371-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1016613198"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10853-014-8371-4", 
      "https://app.dimensions.ai/details/publication/pub.1016613198"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T16:42", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8669_00000511.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs10853-014-8371-4"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10853-014-8371-4'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10853-014-8371-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10853-014-8371-4'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10853-014-8371-4'


 

This table displays all metadata directly associated to this object as RDF triples.

221 TRIPLES      21 PREDICATES      62 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10853-014-8371-4 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author N3b78bad85af648d885da0303bc349e0e
4 schema:citation sg:pub.10.1007/978-3-319-48761-8_43
5 sg:pub.10.1007/s10853-011-5431-x
6 https://doi.org/10.1016/0927-0256(96)00008-0
7 https://doi.org/10.1016/j.actamat.2004.05.037
8 https://doi.org/10.1016/j.actamat.2006.02.034
9 https://doi.org/10.1016/j.actamat.2006.11.019
10 https://doi.org/10.1016/j.actamat.2007.02.032
11 https://doi.org/10.1016/j.actamat.2012.02.039
12 https://doi.org/10.1016/j.actamat.2012.04.032
13 https://doi.org/10.1016/j.commatsci.2013.08.037
14 https://doi.org/10.1016/j.matchar.2012.10.003
15 https://doi.org/10.1016/j.msea.2004.09.019
16 https://doi.org/10.1016/j.msea.2006.08.084
17 https://doi.org/10.1016/s0079-6425(03)00031-8
18 https://doi.org/10.1016/s0304-3991(99)00017-0
19 https://doi.org/10.1016/s0921-5093(03)00624-5
20 https://doi.org/10.1016/s1359-6454(01)00229-4
21 https://doi.org/10.1021/jp970448v
22 https://doi.org/10.1063/1.3269714
23 https://doi.org/10.1080/01418619908212027
24 https://doi.org/10.1080/14786430701287377
25 https://doi.org/10.1080/14786435.2012.693214
26 https://doi.org/10.1080/14786435.2012.700129
27 https://doi.org/10.1080/14786435.2013.857051
28 https://doi.org/10.1103/physrev.136.b864
29 https://doi.org/10.1103/physrev.140.a1133
30 https://doi.org/10.1103/physrevb.32.8412
31 https://doi.org/10.1103/physrevb.46.6671
32 https://doi.org/10.1103/physrevb.47.558
33 https://doi.org/10.1103/physrevb.76.174113
34 https://doi.org/10.1126/science.1124199
35 https://doi.org/10.1126/science.277.5330.1221
36 https://doi.org/10.3891/acta.chem.scand.34a-0001
37 https://doi.org/10.4028/www.scientific.net/msf.217-222.713
38 https://doi.org/10.4028/www.scientific.net/msf.638-642.390
39 schema:datePublished 2014-09
40 schema:datePublishedReg 2014-09-01
41 schema:description In this work, we seek to elucidate a common stabilization principle for the metastable and equilibrium phases of the Al–Mg–Si–Cu alloy system, through combined experimental and theoretical studies. We examine the structurally known well-ordered Al–Mg–Si–Cu alloy metastable precipitates along with experimentally observed disordered phases, using high angle annular dark field scanning transmission electron microscopy. A small set of local geometries is found to fully explain all structures. Density functional theory based calculations have been carried out on a larger set of structures, all fully constructed by the same local geometries. The results reveal that experimentally reported and hypothetical Cu-free phases from the set are practically indistinguishable with regard to formation enthalpy and composition. This strongly supports a connection of the geometries with a bulk phase stabilization principle. We relate our findings to the Si network substructure commonly observed in all Mg–Al–Si(–Cu) metastable precipitates, showing how this structure can be regarded as a direct consequence of the local geometries. Further, our proposed phase stabilization principle clearly rests on the importance of metal-Si interactions. Close links to the Al–Mg–Si precipitation sequence are proposed.
42 schema:genre research_article
43 schema:inLanguage en
44 schema:isAccessibleForFree true
45 schema:isPartOf N6f9d8d4cb82842c9a929e0a921b812ad
46 Nb538dd72735049e4ae967c2ef88d90dd
47 sg:journal.1312116
48 schema:name Phase stabilization principle and precipitate-host lattice influences for Al–Mg–Si–Cu alloy precipitates
49 schema:pagination 6413-6426
50 schema:productId N4ca86d64e5744f4cac7557f596bb4bac
51 N5ca617e456f14637b0e3566c3ac81128
52 Nb61f834b63e84c9eb4106a63db094cf3
53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016613198
54 https://doi.org/10.1007/s10853-014-8371-4
55 schema:sdDatePublished 2019-04-10T16:42
56 schema:sdLicense https://scigraph.springernature.com/explorer/license/
57 schema:sdPublisher Nc49fc2f419b24f1fafda6fd6bf95b23f
58 schema:url http://link.springer.com/10.1007%2Fs10853-014-8371-4
59 sgo:license sg:explorer/license/
60 sgo:sdDataset articles
61 rdf:type schema:ScholarlyArticle
62 N27b1772333384d02a87fe26178ca2f99 rdf:first sg:person.010613536235.50
63 rdf:rest Nb78a721e131242348172ace9f4a143b8
64 N3b78bad85af648d885da0303bc349e0e rdf:first sg:person.014434472014.03
65 rdf:rest Nb747345273014cd3a6f6294adad185ca
66 N435f8f39161041d0a8ef2ef5a191115c rdf:first sg:person.012220063135.41
67 rdf:rest rdf:nil
68 N4ca86d64e5744f4cac7557f596bb4bac schema:name dimensions_id
69 schema:value pub.1016613198
70 rdf:type schema:PropertyValue
71 N5ca617e456f14637b0e3566c3ac81128 schema:name readcube_id
72 schema:value 4f2842bd87dc078d2f6d59da82f7117d1ec398c01f5ea1490e9c4ac4e22a45bb
73 rdf:type schema:PropertyValue
74 N64cb05e7f0f049a893032cebb98afda3 rdf:first sg:person.010703267735.37
75 rdf:rest N27b1772333384d02a87fe26178ca2f99
76 N6f9d8d4cb82842c9a929e0a921b812ad schema:volumeNumber 49
77 rdf:type schema:PublicationVolume
78 N8c164df4d44a4fba9117d0e6d8a96b6d rdf:first sg:person.01005744022.16
79 rdf:rest N435f8f39161041d0a8ef2ef5a191115c
80 Nb538dd72735049e4ae967c2ef88d90dd schema:issueNumber 18
81 rdf:type schema:PublicationIssue
82 Nb61f834b63e84c9eb4106a63db094cf3 schema:name doi
83 schema:value 10.1007/s10853-014-8371-4
84 rdf:type schema:PropertyValue
85 Nb747345273014cd3a6f6294adad185ca rdf:first sg:person.016521227035.32
86 rdf:rest N64cb05e7f0f049a893032cebb98afda3
87 Nb78a721e131242348172ace9f4a143b8 rdf:first sg:person.0745145456.51
88 rdf:rest N8c164df4d44a4fba9117d0e6d8a96b6d
89 Nc49fc2f419b24f1fafda6fd6bf95b23f schema:name Springer Nature - SN SciGraph project
90 rdf:type schema:Organization
91 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
92 schema:name Engineering
93 rdf:type schema:DefinedTerm
94 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
95 schema:name Materials Engineering
96 rdf:type schema:DefinedTerm
97 sg:grant.4680254 http://pending.schema.org/fundedItem sg:pub.10.1007/s10853-014-8371-4
98 rdf:type schema:MonetaryGrant
99 sg:journal.1312116 schema:issn 0022-2461
100 1573-4811
101 schema:name Journal of Materials Science
102 rdf:type schema:Periodical
103 sg:person.01005744022.16 schema:affiliation https://www.grid.ac/institutes/grid.8385.6
104 schema:familyName Boothroyd
105 schema:givenName C. B.
106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01005744022.16
107 rdf:type schema:Person
108 sg:person.010613536235.50 schema:affiliation https://www.grid.ac/institutes/grid.4319.f
109 schema:familyName Marioara
110 schema:givenName C. D.
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010613536235.50
112 rdf:type schema:Person
113 sg:person.010703267735.37 schema:affiliation https://www.grid.ac/institutes/grid.4319.f
114 schema:familyName Andersen
115 schema:givenName S. J.
116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010703267735.37
117 rdf:type schema:Person
118 sg:person.012220063135.41 schema:affiliation https://www.grid.ac/institutes/grid.5947.f
119 schema:familyName Holmestad
120 schema:givenName R.
121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012220063135.41
122 rdf:type schema:Person
123 sg:person.014434472014.03 schema:affiliation https://www.grid.ac/institutes/grid.5947.f
124 schema:familyName Ehlers
125 schema:givenName F. J. H.
126 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014434472014.03
127 rdf:type schema:Person
128 sg:person.016521227035.32 schema:affiliation https://www.grid.ac/institutes/grid.5947.f
129 schema:familyName Wenner
130 schema:givenName S.
131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016521227035.32
132 rdf:type schema:Person
133 sg:person.0745145456.51 schema:affiliation https://www.grid.ac/institutes/grid.464188.7
134 schema:familyName Lefebvre
135 schema:givenName W.
136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0745145456.51
137 rdf:type schema:Person
138 sg:pub.10.1007/978-3-319-48761-8_43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084721352
139 https://doi.org/10.1007/978-3-319-48761-8_43
140 rdf:type schema:CreativeWork
141 sg:pub.10.1007/s10853-011-5431-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023575762
142 https://doi.org/10.1007/s10853-011-5431-x
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/0927-0256(96)00008-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008708156
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/j.actamat.2004.05.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004489081
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/j.actamat.2006.02.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028936071
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/j.actamat.2006.11.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042210584
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/j.actamat.2007.02.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039198552
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/j.actamat.2012.02.039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005641848
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/j.actamat.2012.04.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042161744
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/j.commatsci.2013.08.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051469529
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/j.matchar.2012.10.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052800987
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/j.msea.2004.09.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013500310
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/j.msea.2006.08.084 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011601744
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/s0079-6425(03)00031-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026803059
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/s0304-3991(99)00017-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007262948
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/s0921-5093(03)00624-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028179898
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/s1359-6454(01)00229-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012957057
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1021/jp970448v schema:sameAs https://app.dimensions.ai/details/publication/pub.1056124269
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1063/1.3269714 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057928387
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1080/01418619908212027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013942148
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1080/14786430701287377 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029379433
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1080/14786435.2012.693214 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051251940
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1080/14786435.2012.700129 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026889565
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1080/14786435.2013.857051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037101181
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1103/physrev.136.b864 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060429813
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1103/physrev.140.a1133 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060431417
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1103/physrevb.32.8412 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060539099
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1103/physrevb.46.6671 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060564150
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1103/physrevb.47.558 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060566310
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1103/physrevb.76.174113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060622821
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1126/science.1124199 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062453513
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1126/science.277.5330.1221 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062557814
203 rdf:type schema:CreativeWork
204 https://doi.org/10.3891/acta.chem.scand.34a-0001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071497819
205 rdf:type schema:CreativeWork
206 https://doi.org/10.4028/www.scientific.net/msf.217-222.713 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072105614
207 rdf:type schema:CreativeWork
208 https://doi.org/10.4028/www.scientific.net/msf.638-642.390 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072132282
209 rdf:type schema:CreativeWork
210 https://www.grid.ac/institutes/grid.4319.f schema:alternateName SINTEF
211 schema:name Materials and Chemistry, SINTEF, 7465, Trondheim, Norway
212 rdf:type schema:Organization
213 https://www.grid.ac/institutes/grid.464188.7 schema:alternateName Groupe de Physique des Matériaux
214 schema:name Groupe de Physique des Matériaux, Université de Rouen, 76801, St. Etienne du Rouvray Cedex, France
215 rdf:type schema:Organization
216 https://www.grid.ac/institutes/grid.5947.f schema:alternateName Norwegian University of Science and Technology
217 schema:name Department of Physics, Norwegian University of Science and Technology (NTNU), 7491, Trondheim, Norway
218 rdf:type schema:Organization
219 https://www.grid.ac/institutes/grid.8385.6 schema:alternateName Forschungszentrum Jülich
220 schema:name Ernst Ruska-Centre for Microscopy and Spectroscopy with Electrons (ER-C) and Peter Grünberg Institute (PGI), Forschungszentrum Jülich, 52425, Jülich, Germany
221 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...