Formation and stability of complex metallic phases including quasicrystals explored through combinatorial methods View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-05-09

AUTHORS

Witor Wolf, Sebastian A. Kube, Sungwoo Sohn, Yujun Xie, Judy J. Cha, B. Ellen Scanley, Claudio S. Kiminami, Claudemiro Bolfarini, Walter J. Botta, Jan Schroers

ABSTRACT

Aluminum-based quasicrystals typically form across narrow composition ranges within binary to quaternary alloys, which makes their fabrication and characterization challenging. Here, we use combinatorial approaches together with fast characterization techniques to study a wide compositional range including known quasicrystal forming compositions. Specifically, we use magnetron co-sputtering to fabricate libraries of ~140 Al-Cu-Fe and ~300 Al-Cu-Fe-Cr alloys. The alloys compositions are measured through automated energy dispersive X-ray spectroscopy. Phase formation and thermal stability are investigated for different thermal processing conditions (as-sputtered and annealed at 400 °C, 520 °C and 600 °C for Al-Cu-Fe libraries; annealed at 600 °C for Al-Cu-Fe-Cr libraries) using automated X-ray diffraction and transmission electron microscopy. In both systems the compositional regions across which the quasicrystalline phase forms are identified. In particular, we demonstrate that the quasicrystalline phase forms across an unusually broad composition range in the Al-Cu-Fe-Cr system. Additionally, some of the considered alloys vitrify during sputtering, which also allows us to study their nucleation behavior. We find that phases with polytetrahedral symmetry, such as the icosahedral quasicrystal and the λ-Al13Fe4 phase, exhibit higher nucleation rates but lower growth rates, as compared to other phases with a lower degree of polytetrahedral order. Altogether, the here used combinatorial approach is powerful to identify compositional regions of quasicrystals. More... »

PAGES

7136

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-019-43666-w

DOI

http://dx.doi.org/10.1038/s41598-019-43666-w

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1114013426

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/31073200


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/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Departamento de Engenharia Metal\u00fargica e de Materiais, Universidade Federal de Minas Gerais, Av. Ant\u00f4nio Carlos, 6627, 31270-901, Belo Horizonte, MG, Brazil", 
          "id": "http://www.grid.ac/institutes/grid.8430.f", 
          "name": [
            "Programa de P\u00f3s-Gradua\u00e7\u00e3o em Ci\u00eancia e Engenharia de Materiais, Universidade Federal de S\u00e3o Carlos, Rod. Washington Luiz, Km 235, 13565-905, S\u00e3o Carlos, SP, Brazil", 
            "Departamento de Engenharia Metal\u00fargica e de Materiais, Universidade Federal de Minas Gerais, Av. Ant\u00f4nio Carlos, 6627, 31270-901, Belo Horizonte, MG, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wolf", 
        "givenName": "Witor", 
        "id": "sg:person.013402505742.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013402505742.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Mechanical Engineering and Materials Science, Yale University, 06511, New Haven, Connecticut, USA", 
          "id": "http://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Department of Mechanical Engineering and Materials Science, Yale University, 06511, New Haven, Connecticut, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kube", 
        "givenName": "Sebastian A.", 
        "id": "sg:person.014753013667.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014753013667.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Mechanical Engineering and Materials Science, Yale University, 06511, New Haven, Connecticut, USA", 
          "id": "http://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Department of Mechanical Engineering and Materials Science, Yale University, 06511, New Haven, Connecticut, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sohn", 
        "givenName": "Sungwoo", 
        "id": "sg:person.01167274630.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167274630.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Mechanical Engineering and Materials Science, Yale University, 06511, New Haven, Connecticut, USA", 
          "id": "http://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Department of Mechanical Engineering and Materials Science, Yale University, 06511, New Haven, Connecticut, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xie", 
        "givenName": "Yujun", 
        "id": "sg:person.015676036243.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015676036243.79"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Mechanical Engineering and Materials Science, Yale University, 06511, New Haven, Connecticut, USA", 
          "id": "http://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Department of Mechanical Engineering and Materials Science, Yale University, 06511, New Haven, Connecticut, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cha", 
        "givenName": "Judy J.", 
        "id": "sg:person.01214744402.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01214744402.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Physics, Southern Connecticut State University, 06515, New Haven, Connecticut, USA", 
          "id": "http://www.grid.ac/institutes/grid.263848.3", 
          "name": [
            "Department of Physics, Southern Connecticut State University, 06515, New Haven, Connecticut, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Scanley", 
        "givenName": "B. Ellen", 
        "id": "sg:person.01006137213.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01006137213.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Departamento de Engenharia de Materiais, Universidade Federal de S\u00e3o Carlos, Rod.Washington Luiz, Km 235, 13565-905, S\u00e3o Carlos, SP, Brazil", 
          "id": "http://www.grid.ac/institutes/grid.411247.5", 
          "name": [
            "Departamento de Engenharia de Materiais, Universidade Federal de S\u00e3o Carlos, Rod.Washington Luiz, Km 235, 13565-905, S\u00e3o Carlos, SP, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kiminami", 
        "givenName": "Claudio S.", 
        "id": "sg:person.016161234315.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016161234315.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Departamento de Engenharia de Materiais, Universidade Federal de S\u00e3o Carlos, Rod.Washington Luiz, Km 235, 13565-905, S\u00e3o Carlos, SP, Brazil", 
          "id": "http://www.grid.ac/institutes/grid.411247.5", 
          "name": [
            "Departamento de Engenharia de Materiais, Universidade Federal de S\u00e3o Carlos, Rod.Washington Luiz, Km 235, 13565-905, S\u00e3o Carlos, SP, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bolfarini", 
        "givenName": "Claudemiro", 
        "id": "sg:person.011146473025.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011146473025.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Departamento de Engenharia de Materiais, Universidade Federal de S\u00e3o Carlos, Rod.Washington Luiz, Km 235, 13565-905, S\u00e3o Carlos, SP, Brazil", 
          "id": "http://www.grid.ac/institutes/grid.411247.5", 
          "name": [
            "Departamento de Engenharia de Materiais, Universidade Federal de S\u00e3o Carlos, Rod.Washington Luiz, Km 235, 13565-905, S\u00e3o Carlos, SP, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Botta", 
        "givenName": "Walter J.", 
        "id": "sg:person.015463212624.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015463212624.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Mechanical Engineering and Materials Science, Yale University, 06511, New Haven, Connecticut, USA", 
          "id": "http://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Department of Mechanical Engineering and Materials Science, Yale University, 06511, New Haven, Connecticut, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schroers", 
        "givenName": "Jan", 
        "id": "sg:person.01145527322.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01145527322.19"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf00726930", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045677155", 
          "https://doi.org/10.1007/bf00726930"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00544677", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033446402", 
          "https://doi.org/10.1007/bf00544677"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat1593", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047067684", 
          "https://doi.org/10.1038/nmat1593"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13404-015-0167-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003356527", 
          "https://doi.org/10.1007/s13404-015-0167-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41598-017-07719-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090947944", 
          "https://doi.org/10.1038/s41598-017-07719-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep09111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051970513", 
          "https://doi.org/10.1038/srep09111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat3939", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026325779", 
          "https://doi.org/10.1038/nmat3939"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep26950", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022920064", 
          "https://doi.org/10.1038/srep26950"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat829", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036713270", 
          "https://doi.org/10.1038/nmat829"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11661-002-0129-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029167898", 
          "https://doi.org/10.1007/s11661-002-0129-y"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-05-09", 
    "datePublishedReg": "2019-05-09", 
    "description": "Aluminum-based quasicrystals typically form across narrow composition ranges within binary to quaternary alloys, which makes their fabrication and characterization challenging. Here, we use combinatorial approaches together with fast characterization techniques to study a wide compositional range including known quasicrystal forming compositions. Specifically, we use magnetron co-sputtering to fabricate libraries of ~140 Al-Cu-Fe and ~300 Al-Cu-Fe-Cr alloys. The alloys compositions are measured through automated energy dispersive X-ray spectroscopy. Phase formation and thermal stability are investigated for different thermal processing conditions (as-sputtered and annealed at 400\u2009\u00b0C, 520\u2009\u00b0C and 600\u2009\u00b0C for Al-Cu-Fe libraries; annealed at 600\u2009\u00b0C for Al-Cu-Fe-Cr libraries) using automated X-ray diffraction and transmission electron microscopy. In both systems the compositional regions across which the quasicrystalline phase forms are identified. In particular, we demonstrate that the quasicrystalline phase forms across an unusually broad composition range in the Al-Cu-Fe-Cr system. Additionally, some of the considered alloys vitrify during sputtering, which also allows us to study their nucleation behavior. We find that phases with polytetrahedral symmetry, such as the icosahedral quasicrystal and the \u03bb-Al13Fe4 phase, exhibit higher nucleation rates but lower growth rates, as compared to other phases with a lower degree of polytetrahedral order. Altogether, the here used combinatorial approach is powerful to identify compositional regions of quasicrystals.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/s41598-019-43666-w", 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.4480864", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5300681", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "keywords": [
      "Al-Cu", 
      "different thermal processing conditions", 
      "\u03bb-Al13Fe4 phase", 
      "thermal processing conditions", 
      "fast characterization techniques", 
      "energy dispersive X-ray spectroscopy", 
      "dispersive X-ray spectroscopy", 
      "quasicrystalline phase forms", 
      "Fe-Cr system", 
      "high nucleation rate", 
      "X-ray spectroscopy", 
      "aluminum-based quasicrystals", 
      "Fe-Cr", 
      "processing conditions", 
      "quaternary alloys", 
      "alloy composition", 
      "phase formation", 
      "compositional region", 
      "X-ray diffraction", 
      "transmission electron microscopy", 
      "phase forms", 
      "composition range", 
      "characterization techniques", 
      "thermal stability", 
      "quasicrystalline phase", 
      "nucleation behavior", 
      "alloy", 
      "broad composition range", 
      "narrow composition range", 
      "electron microscopy", 
      "metallic phase", 
      "nucleation rate", 
      "polytetrahedral order", 
      "wide compositional range", 
      "magnetron", 
      "fabrication", 
      "sputtering", 
      "stability", 
      "phase", 
      "compositional range", 
      "icosahedral quasicrystals", 
      "range", 
      "quasicrystals", 
      "diffraction", 
      "system", 
      "microscopy", 
      "composition", 
      "Fe", 
      "lower growth rate", 
      "growth rate", 
      "formation", 
      "spectroscopy", 
      "combinatorial approach", 
      "behavior", 
      "low degree", 
      "characterization", 
      "technique", 
      "approach", 
      "conditions", 
      "combinatorial methods", 
      "rate", 
      "method", 
      "order", 
      "region", 
      "degree", 
      "form", 
      "binaries", 
      "symmetry", 
      "library"
    ], 
    "name": "Formation and stability of complex metallic phases including quasicrystals explored through combinatorial methods", 
    "pagination": "7136", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1114013426"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-019-43666-w"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "31073200"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-019-43666-w", 
      "https://app.dimensions.ai/details/publication/pub.1114013426"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-10-01T06:45", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/article/article_798.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/s41598-019-43666-w"
  }
]
 

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.10.1038/s41598-019-43666-w'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-43666-w'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-43666-w'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-43666-w'


 

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

246 TRIPLES      21 PREDICATES      104 URIs      86 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-019-43666-w schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author Nf1489a22cfbd43fbaab52e71c355af5f
4 schema:citation sg:pub.10.1007/bf00544677
5 sg:pub.10.1007/bf00726930
6 sg:pub.10.1007/s11661-002-0129-y
7 sg:pub.10.1007/s13404-015-0167-z
8 sg:pub.10.1038/nmat1593
9 sg:pub.10.1038/nmat3939
10 sg:pub.10.1038/nmat829
11 sg:pub.10.1038/s41598-017-07719-2
12 sg:pub.10.1038/srep09111
13 sg:pub.10.1038/srep26950
14 schema:datePublished 2019-05-09
15 schema:datePublishedReg 2019-05-09
16 schema:description Aluminum-based quasicrystals typically form across narrow composition ranges within binary to quaternary alloys, which makes their fabrication and characterization challenging. Here, we use combinatorial approaches together with fast characterization techniques to study a wide compositional range including known quasicrystal forming compositions. Specifically, we use magnetron co-sputtering to fabricate libraries of ~140 Al-Cu-Fe and ~300 Al-Cu-Fe-Cr alloys. The alloys compositions are measured through automated energy dispersive X-ray spectroscopy. Phase formation and thermal stability are investigated for different thermal processing conditions (as-sputtered and annealed at 400 °C, 520 °C and 600 °C for Al-Cu-Fe libraries; annealed at 600 °C for Al-Cu-Fe-Cr libraries) using automated X-ray diffraction and transmission electron microscopy. In both systems the compositional regions across which the quasicrystalline phase forms are identified. In particular, we demonstrate that the quasicrystalline phase forms across an unusually broad composition range in the Al-Cu-Fe-Cr system. Additionally, some of the considered alloys vitrify during sputtering, which also allows us to study their nucleation behavior. We find that phases with polytetrahedral symmetry, such as the icosahedral quasicrystal and the λ-Al13Fe4 phase, exhibit higher nucleation rates but lower growth rates, as compared to other phases with a lower degree of polytetrahedral order. Altogether, the here used combinatorial approach is powerful to identify compositional regions of quasicrystals.
17 schema:genre article
18 schema:isAccessibleForFree true
19 schema:isPartOf N9a3018fc84fc43ed8887a5cf5f5f58b4
20 Nf220cb9350334f44a9b5d09bf60c3ce2
21 sg:journal.1045337
22 schema:keywords Al-Cu
23 Fe
24 Fe-Cr
25 Fe-Cr system
26 X-ray diffraction
27 X-ray spectroscopy
28 alloy
29 alloy composition
30 aluminum-based quasicrystals
31 approach
32 behavior
33 binaries
34 broad composition range
35 characterization
36 characterization techniques
37 combinatorial approach
38 combinatorial methods
39 composition
40 composition range
41 compositional range
42 compositional region
43 conditions
44 degree
45 different thermal processing conditions
46 diffraction
47 dispersive X-ray spectroscopy
48 electron microscopy
49 energy dispersive X-ray spectroscopy
50 fabrication
51 fast characterization techniques
52 form
53 formation
54 growth rate
55 high nucleation rate
56 icosahedral quasicrystals
57 library
58 low degree
59 lower growth rate
60 magnetron
61 metallic phase
62 method
63 microscopy
64 narrow composition range
65 nucleation behavior
66 nucleation rate
67 order
68 phase
69 phase formation
70 phase forms
71 polytetrahedral order
72 processing conditions
73 quasicrystalline phase
74 quasicrystalline phase forms
75 quasicrystals
76 quaternary alloys
77 range
78 rate
79 region
80 spectroscopy
81 sputtering
82 stability
83 symmetry
84 system
85 technique
86 thermal processing conditions
87 thermal stability
88 transmission electron microscopy
89 wide compositional range
90 λ-Al13Fe4 phase
91 schema:name Formation and stability of complex metallic phases including quasicrystals explored through combinatorial methods
92 schema:pagination 7136
93 schema:productId N09f2b63b7447477b8ee31e46928a3470
94 Na83880d0e0424ad1ae370550063d0d8d
95 Nb5137f9f4f7a4f07a972a46793424513
96 schema:sameAs https://app.dimensions.ai/details/publication/pub.1114013426
97 https://doi.org/10.1038/s41598-019-43666-w
98 schema:sdDatePublished 2022-10-01T06:45
99 schema:sdLicense https://scigraph.springernature.com/explorer/license/
100 schema:sdPublisher N44f01c2642f641a286bb5e5a98df88f0
101 schema:url https://doi.org/10.1038/s41598-019-43666-w
102 sgo:license sg:explorer/license/
103 sgo:sdDataset articles
104 rdf:type schema:ScholarlyArticle
105 N00ec8452d8004c0890e9357d39885f76 rdf:first sg:person.011146473025.86
106 rdf:rest Nd7326f2d77a542d18a01343212defbac
107 N09f2b63b7447477b8ee31e46928a3470 schema:name pubmed_id
108 schema:value 31073200
109 rdf:type schema:PropertyValue
110 N2432284e8f4a4ce9be85dfbc4abac75b rdf:first sg:person.01214744402.60
111 rdf:rest N326e64b710b3468d9e70e0cab314d9c9
112 N326e64b710b3468d9e70e0cab314d9c9 rdf:first sg:person.01006137213.29
113 rdf:rest N3d402ac014a940559938e8bb92b6bdab
114 N3d402ac014a940559938e8bb92b6bdab rdf:first sg:person.016161234315.48
115 rdf:rest N00ec8452d8004c0890e9357d39885f76
116 N44f01c2642f641a286bb5e5a98df88f0 schema:name Springer Nature - SN SciGraph project
117 rdf:type schema:Organization
118 N87ee8b05ac1a484c9f67553c6f4351ca rdf:first sg:person.014753013667.30
119 rdf:rest Ne3a750cd52174ec3bb48e233f65a2e7e
120 N8bae56e73c1e48eda51e9bc1fbc3a70e rdf:first sg:person.01145527322.19
121 rdf:rest rdf:nil
122 N9a3018fc84fc43ed8887a5cf5f5f58b4 schema:issueNumber 1
123 rdf:type schema:PublicationIssue
124 Na6384d15b58a498390d7b5ed6c6e008f rdf:first sg:person.015676036243.79
125 rdf:rest N2432284e8f4a4ce9be85dfbc4abac75b
126 Na83880d0e0424ad1ae370550063d0d8d schema:name dimensions_id
127 schema:value pub.1114013426
128 rdf:type schema:PropertyValue
129 Nb5137f9f4f7a4f07a972a46793424513 schema:name doi
130 schema:value 10.1038/s41598-019-43666-w
131 rdf:type schema:PropertyValue
132 Nd7326f2d77a542d18a01343212defbac rdf:first sg:person.015463212624.08
133 rdf:rest N8bae56e73c1e48eda51e9bc1fbc3a70e
134 Ne3a750cd52174ec3bb48e233f65a2e7e rdf:first sg:person.01167274630.47
135 rdf:rest Na6384d15b58a498390d7b5ed6c6e008f
136 Nf1489a22cfbd43fbaab52e71c355af5f rdf:first sg:person.013402505742.03
137 rdf:rest N87ee8b05ac1a484c9f67553c6f4351ca
138 Nf220cb9350334f44a9b5d09bf60c3ce2 schema:volumeNumber 9
139 rdf:type schema:PublicationVolume
140 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
141 schema:name Engineering
142 rdf:type schema:DefinedTerm
143 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
144 schema:name Materials Engineering
145 rdf:type schema:DefinedTerm
146 sg:grant.4480864 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-019-43666-w
147 rdf:type schema:MonetaryGrant
148 sg:grant.5300681 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-019-43666-w
149 rdf:type schema:MonetaryGrant
150 sg:journal.1045337 schema:issn 2045-2322
151 schema:name Scientific Reports
152 schema:publisher Springer Nature
153 rdf:type schema:Periodical
154 sg:person.01006137213.29 schema:affiliation grid-institutes:grid.263848.3
155 schema:familyName Scanley
156 schema:givenName B. Ellen
157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01006137213.29
158 rdf:type schema:Person
159 sg:person.011146473025.86 schema:affiliation grid-institutes:grid.411247.5
160 schema:familyName Bolfarini
161 schema:givenName Claudemiro
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011146473025.86
163 rdf:type schema:Person
164 sg:person.01145527322.19 schema:affiliation grid-institutes:grid.47100.32
165 schema:familyName Schroers
166 schema:givenName Jan
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01145527322.19
168 rdf:type schema:Person
169 sg:person.01167274630.47 schema:affiliation grid-institutes:grid.47100.32
170 schema:familyName Sohn
171 schema:givenName Sungwoo
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167274630.47
173 rdf:type schema:Person
174 sg:person.01214744402.60 schema:affiliation grid-institutes:grid.47100.32
175 schema:familyName Cha
176 schema:givenName Judy J.
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01214744402.60
178 rdf:type schema:Person
179 sg:person.013402505742.03 schema:affiliation grid-institutes:grid.8430.f
180 schema:familyName Wolf
181 schema:givenName Witor
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013402505742.03
183 rdf:type schema:Person
184 sg:person.014753013667.30 schema:affiliation grid-institutes:grid.47100.32
185 schema:familyName Kube
186 schema:givenName Sebastian A.
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014753013667.30
188 rdf:type schema:Person
189 sg:person.015463212624.08 schema:affiliation grid-institutes:grid.411247.5
190 schema:familyName Botta
191 schema:givenName Walter J.
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015463212624.08
193 rdf:type schema:Person
194 sg:person.015676036243.79 schema:affiliation grid-institutes:grid.47100.32
195 schema:familyName Xie
196 schema:givenName Yujun
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015676036243.79
198 rdf:type schema:Person
199 sg:person.016161234315.48 schema:affiliation grid-institutes:grid.411247.5
200 schema:familyName Kiminami
201 schema:givenName Claudio S.
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016161234315.48
203 rdf:type schema:Person
204 sg:pub.10.1007/bf00544677 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033446402
205 https://doi.org/10.1007/bf00544677
206 rdf:type schema:CreativeWork
207 sg:pub.10.1007/bf00726930 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045677155
208 https://doi.org/10.1007/bf00726930
209 rdf:type schema:CreativeWork
210 sg:pub.10.1007/s11661-002-0129-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1029167898
211 https://doi.org/10.1007/s11661-002-0129-y
212 rdf:type schema:CreativeWork
213 sg:pub.10.1007/s13404-015-0167-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1003356527
214 https://doi.org/10.1007/s13404-015-0167-z
215 rdf:type schema:CreativeWork
216 sg:pub.10.1038/nmat1593 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047067684
217 https://doi.org/10.1038/nmat1593
218 rdf:type schema:CreativeWork
219 sg:pub.10.1038/nmat3939 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026325779
220 https://doi.org/10.1038/nmat3939
221 rdf:type schema:CreativeWork
222 sg:pub.10.1038/nmat829 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036713270
223 https://doi.org/10.1038/nmat829
224 rdf:type schema:CreativeWork
225 sg:pub.10.1038/s41598-017-07719-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090947944
226 https://doi.org/10.1038/s41598-017-07719-2
227 rdf:type schema:CreativeWork
228 sg:pub.10.1038/srep09111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051970513
229 https://doi.org/10.1038/srep09111
230 rdf:type schema:CreativeWork
231 sg:pub.10.1038/srep26950 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022920064
232 https://doi.org/10.1038/srep26950
233 rdf:type schema:CreativeWork
234 grid-institutes:grid.263848.3 schema:alternateName Department of Physics, Southern Connecticut State University, 06515, New Haven, Connecticut, USA
235 schema:name Department of Physics, Southern Connecticut State University, 06515, New Haven, Connecticut, USA
236 rdf:type schema:Organization
237 grid-institutes:grid.411247.5 schema:alternateName Departamento de Engenharia de Materiais, Universidade Federal de São Carlos, Rod.Washington Luiz, Km 235, 13565-905, São Carlos, SP, Brazil
238 schema:name Departamento de Engenharia de Materiais, Universidade Federal de São Carlos, Rod.Washington Luiz, Km 235, 13565-905, São Carlos, SP, Brazil
239 rdf:type schema:Organization
240 grid-institutes:grid.47100.32 schema:alternateName Department of Mechanical Engineering and Materials Science, Yale University, 06511, New Haven, Connecticut, USA
241 schema:name Department of Mechanical Engineering and Materials Science, Yale University, 06511, New Haven, Connecticut, USA
242 rdf:type schema:Organization
243 grid-institutes:grid.8430.f schema:alternateName Departamento de Engenharia Metalúrgica e de Materiais, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627, 31270-901, Belo Horizonte, MG, Brazil
244 schema:name Departamento de Engenharia Metalúrgica e de Materiais, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627, 31270-901, Belo Horizonte, MG, Brazil
245 Programa de Pós-Graduação em Ciência e Engenharia de Materiais, Universidade Federal de São Carlos, Rod. Washington Luiz, Km 235, 13565-905, São Carlos, SP, Brazil
246 rdf:type schema:Organization
 




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


...