The Dielectric Behavior in Reduced Graphene Oxide/Polymer Composites with a Segregated Structure View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018

AUTHORS

Yonghua Li , Mengkai Li

ABSTRACT

Novel composites with a segregated structure have been prepared through coating graphene oxide (GO) on poly(vinylidene fluoride) (PVDF) powders and then were hot pressed at 200 °C for 2 h to form composites. During hot-pressing, the graphene oxide was turned into reduced graphene oxide. The resulting composites with graphene as conductive filler formed a two-dimensional conductive network and exhibited a low value of the percolation threshold. The image of GO-coated PVDF powders was observed by scanning electron microscopy (SEM). The dielectric permittivity of the graphene/PVDF composites as a function of frequency with different graphene volume fraction were shown at room temperature. The composite of filler content 0.263 vol.% exhibits higher dielectric constants (225) and smaller loss factor (7.9) at 1000 Hz. More... »

PAGES

787-794

Book

TITLE

TMS 2018 147th Annual Meeting & Exhibition Supplemental Proceedings

ISBN

978-3-319-72525-3
978-3-319-72526-0

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-72526-0_74

DOI

http://dx.doi.org/10.1007/978-3-319-72526-0_74

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1100789880


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": "Harbin Engineering University", 
          "id": "https://www.grid.ac/institutes/grid.33764.35", 
          "name": [
            "Harbin Engineering University"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Yonghua", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jilin University", 
          "id": "https://www.grid.ac/institutes/grid.64924.3d", 
          "name": [
            "Jilin University"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Mengkai", 
        "id": "sg:person.010372730577.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010372730577.81"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.polymer.2013.02.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008270036"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.200600703", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008923353"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0957-4484/23/36/365702", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011702789"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13233-012-0064-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021075332", 
          "https://doi.org/10.1007/s13233-012-0064-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.200304911", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021974126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.200801758", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026549392"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04969", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029345003", 
          "https://doi.org/10.1038/nature04969"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04969", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029345003", 
          "https://doi.org/10.1038/nature04969"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04969", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029345003", 
          "https://doi.org/10.1038/nature04969"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0079-6425(93)90004-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039979604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0079-6425(93)90004-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039979604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.carbon.2013.08.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041988461"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.synthmet.2010.07.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043975796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.201001068", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047953299"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.201001068", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047953299"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/am3018652", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055142788"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja01539a017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055805656"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1996842", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057834915"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.2894571", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057879845"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.67.024206", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060605445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.67.024206", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060605445"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018", 
    "datePublishedReg": "2018-01-01", 
    "description": "Novel composites with a segregated structure have been prepared through coating graphene oxide (GO) on poly(vinylidene fluoride) (PVDF) powders and then were hot pressed at 200 \u00b0C for 2 h to form composites. During hot-pressing, the graphene oxide was turned into reduced graphene oxide. The resulting composites with graphene as conductive filler formed a two-dimensional conductive network and exhibited a low value of the percolation threshold. The image of GO-coated PVDF powders was observed by scanning electron microscopy (SEM). The dielectric permittivity of the graphene/PVDF composites as a function of frequency with different graphene volume fraction were shown at room temperature. The composite of filler content 0.263 vol.% exhibits higher dielectric constants (225) and smaller loss factor (7.9) at 1000 Hz.", 
    "editor": [
      {
        "familyName": "& Materials Society", 
        "givenName": "The Minerals, Metals", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-319-72526-0_74", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-319-72525-3", 
        "978-3-319-72526-0"
      ], 
      "name": "TMS 2018 147th Annual Meeting & Exhibition Supplemental Proceedings", 
      "type": "Book"
    }, 
    "name": "The Dielectric Behavior in Reduced Graphene Oxide/Polymer Composites with a Segregated Structure", 
    "pagination": "787-794", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-319-72526-0_74"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9f8fcab02fc24934814a5ec17fa90a71fd755d404261ccf514a4b1c687beee93"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1100789880"
        ]
      }
    ], 
    "publisher": {
      "location": "Cham", 
      "name": "Springer International Publishing", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-319-72526-0_74", 
      "https://app.dimensions.ai/details/publication/pub.1100789880"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T18:52", 
    "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_8681_00000603.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-3-319-72526-0_74"
  }
]
 

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.10.1007/978-3-319-72526-0_74'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-72526-0_74'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-72526-0_74'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-72526-0_74'


 

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

124 TRIPLES      23 PREDICATES      43 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-319-72526-0_74 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author N471ca566655940b6a0a67b168a62a525
4 schema:citation sg:pub.10.1007/s13233-012-0064-8
5 sg:pub.10.1038/nature04969
6 https://doi.org/10.1002/adma.200304911
7 https://doi.org/10.1002/adma.200600703
8 https://doi.org/10.1002/adma.200801758
9 https://doi.org/10.1002/adma.201001068
10 https://doi.org/10.1016/0079-6425(93)90004-5
11 https://doi.org/10.1016/j.carbon.2013.08.016
12 https://doi.org/10.1016/j.polymer.2013.02.012
13 https://doi.org/10.1016/j.synthmet.2010.07.009
14 https://doi.org/10.1021/am3018652
15 https://doi.org/10.1021/ja01539a017
16 https://doi.org/10.1063/1.1996842
17 https://doi.org/10.1063/1.2894571
18 https://doi.org/10.1088/0957-4484/23/36/365702
19 https://doi.org/10.1103/physrevb.67.024206
20 schema:datePublished 2018
21 schema:datePublishedReg 2018-01-01
22 schema:description Novel composites with a segregated structure have been prepared through coating graphene oxide (GO) on poly(vinylidene fluoride) (PVDF) powders and then were hot pressed at 200 °C for 2 h to form composites. During hot-pressing, the graphene oxide was turned into reduced graphene oxide. The resulting composites with graphene as conductive filler formed a two-dimensional conductive network and exhibited a low value of the percolation threshold. The image of GO-coated PVDF powders was observed by scanning electron microscopy (SEM). The dielectric permittivity of the graphene/PVDF composites as a function of frequency with different graphene volume fraction were shown at room temperature. The composite of filler content 0.263 vol.% exhibits higher dielectric constants (225) and smaller loss factor (7.9) at 1000 Hz.
23 schema:editor Nf54ba582115643d09fa6d3888cefb3d4
24 schema:genre chapter
25 schema:inLanguage en
26 schema:isAccessibleForFree false
27 schema:isPartOf N0c9282353a794e99976f171e219c1f74
28 schema:name The Dielectric Behavior in Reduced Graphene Oxide/Polymer Composites with a Segregated Structure
29 schema:pagination 787-794
30 schema:productId N95432202b59946feb7d033f56e290036
31 Ncde1471715a340e194a1cf012b887d65
32 Nf8b623ec04d04703940151ba2d3ed761
33 schema:publisher Nf9e1ccf003914c9497468d7aa05c2d64
34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100789880
35 https://doi.org/10.1007/978-3-319-72526-0_74
36 schema:sdDatePublished 2019-04-15T18:52
37 schema:sdLicense https://scigraph.springernature.com/explorer/license/
38 schema:sdPublisher Nec63cbdca9dd4cd2b807bf52c48288e1
39 schema:url http://link.springer.com/10.1007/978-3-319-72526-0_74
40 sgo:license sg:explorer/license/
41 sgo:sdDataset chapters
42 rdf:type schema:Chapter
43 N098cb72c9e864ed4a49eca458ee6621c schema:familyName & Materials Society
44 schema:givenName The Minerals, Metals
45 rdf:type schema:Person
46 N0c9282353a794e99976f171e219c1f74 schema:isbn 978-3-319-72525-3
47 978-3-319-72526-0
48 schema:name TMS 2018 147th Annual Meeting & Exhibition Supplemental Proceedings
49 rdf:type schema:Book
50 N3180a4c306db48cba45409b0d7dd3d27 schema:affiliation https://www.grid.ac/institutes/grid.33764.35
51 schema:familyName Li
52 schema:givenName Yonghua
53 rdf:type schema:Person
54 N471ca566655940b6a0a67b168a62a525 rdf:first N3180a4c306db48cba45409b0d7dd3d27
55 rdf:rest N548d568cf4b64f6885b25d8fcb11f8cd
56 N548d568cf4b64f6885b25d8fcb11f8cd rdf:first sg:person.010372730577.81
57 rdf:rest rdf:nil
58 N95432202b59946feb7d033f56e290036 schema:name doi
59 schema:value 10.1007/978-3-319-72526-0_74
60 rdf:type schema:PropertyValue
61 Ncde1471715a340e194a1cf012b887d65 schema:name readcube_id
62 schema:value 9f8fcab02fc24934814a5ec17fa90a71fd755d404261ccf514a4b1c687beee93
63 rdf:type schema:PropertyValue
64 Nec63cbdca9dd4cd2b807bf52c48288e1 schema:name Springer Nature - SN SciGraph project
65 rdf:type schema:Organization
66 Nf54ba582115643d09fa6d3888cefb3d4 rdf:first N098cb72c9e864ed4a49eca458ee6621c
67 rdf:rest rdf:nil
68 Nf8b623ec04d04703940151ba2d3ed761 schema:name dimensions_id
69 schema:value pub.1100789880
70 rdf:type schema:PropertyValue
71 Nf9e1ccf003914c9497468d7aa05c2d64 schema:location Cham
72 schema:name Springer International Publishing
73 rdf:type schema:Organisation
74 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
75 schema:name Engineering
76 rdf:type schema:DefinedTerm
77 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
78 schema:name Materials Engineering
79 rdf:type schema:DefinedTerm
80 sg:person.010372730577.81 schema:affiliation https://www.grid.ac/institutes/grid.64924.3d
81 schema:familyName Li
82 schema:givenName Mengkai
83 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010372730577.81
84 rdf:type schema:Person
85 sg:pub.10.1007/s13233-012-0064-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021075332
86 https://doi.org/10.1007/s13233-012-0064-8
87 rdf:type schema:CreativeWork
88 sg:pub.10.1038/nature04969 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029345003
89 https://doi.org/10.1038/nature04969
90 rdf:type schema:CreativeWork
91 https://doi.org/10.1002/adma.200304911 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021974126
92 rdf:type schema:CreativeWork
93 https://doi.org/10.1002/adma.200600703 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008923353
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1002/adma.200801758 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026549392
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1002/adma.201001068 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047953299
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1016/0079-6425(93)90004-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039979604
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1016/j.carbon.2013.08.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041988461
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1016/j.polymer.2013.02.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008270036
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1016/j.synthmet.2010.07.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043975796
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1021/am3018652 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055142788
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1021/ja01539a017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055805656
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1063/1.1996842 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057834915
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1063/1.2894571 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057879845
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1088/0957-4484/23/36/365702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011702789
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1103/physrevb.67.024206 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060605445
118 rdf:type schema:CreativeWork
119 https://www.grid.ac/institutes/grid.33764.35 schema:alternateName Harbin Engineering University
120 schema:name Harbin Engineering University
121 rdf:type schema:Organization
122 https://www.grid.ac/institutes/grid.64924.3d schema:alternateName Jilin University
123 schema:name Jilin University
124 rdf:type schema:Organization
 




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


...