Preparation and characterization of silver-doped graphene-reinforced silver matrix bulk composite as a novel electrical contact material View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02

AUTHORS

Hui Zhang, Xianhui Wang, Yapeng Li, Changsheng Guo, Changming Zhang

ABSTRACT

The incorporation of graphene into silver nanopowder to prepare their bulk composite with enhanced electrical and mechanical properties is investigated. The silver-doped graphene composite (GNs–Ag) is introduced as a reinforcing phase. Silver nanopowder and GNs–Ag composite are ultrasonically mixed and plasma-sintered to prepare GNs–Ag reinforced silver matrix bulk composite. The phase structure, micromorphology, chemical state of elements of the GNs–Ag nanoparticles was analyzed in detailed. Meanwhile, micromorphology and electrical properties of the sintered bulk composites are also measured. The results showed that graphene oxide (GO) and Ag ions are simultaneously reduced by hydrazine hydrate during the reaction. Ag nanoparticles (AgNP) presents the uniformly distribution on the surface of graphene sheets. The Raman spectrum is significantly enhanced compared with that of GO due to the presence of AgNP in the GNS–Ag nanoparticles. It is observed that C/O mass ratio demonstrates an increasing trend from 1.84 in graphene oxide to 6.29 in the composites materials. Compared to International Annealed Copper Standard, this composite material possesses an electrical conductivity of 92.6%, a density of 9.59 g cm−3, and a hardness of 46.12 HV. This phenomenon can be explained as that grain boundaries will be formed at the grain boundaries of silver due to the addition of graphene. In addition, it is found that the resistance of the GNs–Ag/n-Si (111) Schottky contact is lower than Ag/n-Si (111) Schottky contact. More... »

PAGES

86

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00339-019-2379-1

DOI

http://dx.doi.org/10.1007/s00339-019-2379-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111311529


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": "Xi'an University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.440722.7", 
          "name": [
            "School of Materials Science and Engineering, Xi\u2019an University of Technology, 710048, Xi\u2019an, China", 
            "School of Materials Science and Engineering, Shanxi University of Technology, 72300, Hanzhong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Hui", 
        "id": "sg:person.015670760006.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015670760006.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Xi'an University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.440722.7", 
          "name": [
            "School of Materials Science and Engineering, Xi\u2019an University of Technology, 710048, Xi\u2019an, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Xianhui", 
        "id": "sg:person.014032257051.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014032257051.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "School of Materials Science and Engineering, Shanxi University of Technology, 72300, Hanzhong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Yapeng", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Shaanxi University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.412500.2", 
          "name": [
            "School of Mechanical Engineering, Shaanxi University of Technology, 723000, Hanzhong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guo", 
        "givenName": "Changsheng", 
        "id": "sg:person.016265005747.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016265005747.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Shaanxi University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.412500.2", 
          "name": [
            "School of Mechanical Engineering, Shaanxi University of Technology, 723000, Hanzhong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Changming", 
        "id": "sg:person.07561734547.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07561734547.20"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.proeng.2014.12.381", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000861151"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/smll.200900726", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002088007"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/smll.200900726", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002088007"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compscitech.2012.05.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008096474"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.commatsci.2015.12.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008683343"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.commatsci.2015.12.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008683343"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c5nr06319a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010643520"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10853-014-8082-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012245702", 
          "https://doi.org/10.1007/s10853-014-8082-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c5tc02405f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015465921"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.matdes.2012.05.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015492727"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.commatsci.2013.06.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017784859"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c1cs15078b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018274097"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1102896", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019008412"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep07037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019967791", 
          "https://doi.org/10.1038/srep07037"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c6nr03470e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023789899"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp3108528", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025627574"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aca.2016.05.048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030100279"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aca.2016.05.048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030100279"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aca.2016.05.048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030100279"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aca.2016.05.048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030100279"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12274-010-1037-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030764113", 
          "https://doi.org/10.1007/s12274-010-1037-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12274-010-1037-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030764113", 
          "https://doi.org/10.1007/s12274-010-1037-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.matlet.2016.07.080", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030768455"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compositesb.2013.12.043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030937543"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.201570282", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033241315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jallcom.2013.10.222", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033814221"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1875-5372(16)30012-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034298812"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ceramint.2013.01.041", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034928678"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mattod.2013.01.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039063273"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jeurceramsoc.2012.07.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040281938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c4ra05176a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043771888"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scriptamat.2012.01.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046083241"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.msea.2011.07.043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049330258"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c6nr01838f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049559582"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mser.2013.08.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051691613"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acsami.5b03894", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055127240"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acsami.5b12677", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055129374"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl204414u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056219176"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1638898", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057728798"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.4810924", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058077581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c7ta01361b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084137058"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.17159/2411-9717/2016/v116n12a12", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085325728"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c7nr02932b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086203015"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pmatsci.2017.07.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090858943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1361-6528/aa8946", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091434707"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0031918x17070134", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091901629", 
          "https://doi.org/10.1134/s0031918x17070134"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1515/amm-2017-0287", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092311441"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.actamat.2018.03.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101554084"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.actamat.2018.03.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101554084"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-02", 
    "datePublishedReg": "2019-02-01", 
    "description": "The incorporation of graphene into silver nanopowder to prepare their bulk composite with enhanced electrical and mechanical properties is investigated. The silver-doped graphene composite (GNs\u2013Ag) is introduced as a reinforcing phase. Silver nanopowder and GNs\u2013Ag composite are ultrasonically mixed and plasma-sintered to prepare GNs\u2013Ag reinforced silver matrix bulk composite. The phase structure, micromorphology, chemical state of elements of the GNs\u2013Ag nanoparticles was analyzed in detailed. Meanwhile, micromorphology and electrical properties of the sintered bulk composites are also measured. The results showed that graphene oxide (GO) and Ag ions are simultaneously reduced by hydrazine hydrate during the reaction. Ag nanoparticles (AgNP) presents the uniformly distribution on the surface of graphene sheets. The Raman spectrum is significantly enhanced compared with that of GO due to the presence of AgNP in the GNS\u2013Ag nanoparticles. It is observed that C/O mass ratio demonstrates an increasing trend from 1.84 in graphene oxide to 6.29 in the composites materials. Compared to International Annealed Copper Standard, this composite material possesses an electrical conductivity of 92.6%, a density of 9.59 g cm\u22123, and a hardness of 46.12 HV. This phenomenon can be explained as that grain boundaries will be formed at the grain boundaries of silver due to the addition of graphene. In addition, it is found that the resistance of the GNs\u2013Ag/n-Si (111) Schottky contact is lower than Ag/n-Si (111) Schottky contact.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00339-019-2379-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6997769", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1022207", 
        "issn": [
          "0947-8396", 
          "1432-0630"
        ], 
        "name": "Applied Physics A", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "125"
      }
    ], 
    "name": "Preparation and characterization of silver-doped graphene-reinforced silver matrix bulk composite as a novel electrical contact material", 
    "pagination": "86", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "90c257257923f3116ac4e226c7e12d4649ee3a0f3c5a047d92d95e4770dc778c"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00339-019-2379-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111311529"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00339-019-2379-1", 
      "https://app.dimensions.ai/details/publication/pub.1111311529"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:13", 
    "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/v90/0000000338_0000000338/records_47994_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00339-019-2379-1"
  }
]
 

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/s00339-019-2379-1'

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/s00339-019-2379-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00339-019-2379-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00339-019-2379-1'


 

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

226 TRIPLES      21 PREDICATES      69 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00339-019-2379-1 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author N388789d2cb984f77a4b7c9bdcb931155
4 schema:citation sg:pub.10.1007/s10853-014-8082-x
5 sg:pub.10.1007/s12274-010-1037-x
6 sg:pub.10.1038/srep07037
7 sg:pub.10.1134/s0031918x17070134
8 https://doi.org/10.1002/adma.201570282
9 https://doi.org/10.1002/smll.200900726
10 https://doi.org/10.1016/j.aca.2016.05.048
11 https://doi.org/10.1016/j.actamat.2018.03.013
12 https://doi.org/10.1016/j.ceramint.2013.01.041
13 https://doi.org/10.1016/j.commatsci.2013.06.002
14 https://doi.org/10.1016/j.commatsci.2015.12.030
15 https://doi.org/10.1016/j.compositesb.2013.12.043
16 https://doi.org/10.1016/j.compscitech.2012.05.002
17 https://doi.org/10.1016/j.jallcom.2013.10.222
18 https://doi.org/10.1016/j.jeurceramsoc.2012.07.007
19 https://doi.org/10.1016/j.matdes.2012.05.014
20 https://doi.org/10.1016/j.matlet.2016.07.080
21 https://doi.org/10.1016/j.mattod.2013.01.021
22 https://doi.org/10.1016/j.msea.2011.07.043
23 https://doi.org/10.1016/j.mser.2013.08.001
24 https://doi.org/10.1016/j.pmatsci.2017.07.004
25 https://doi.org/10.1016/j.proeng.2014.12.381
26 https://doi.org/10.1016/j.scriptamat.2012.01.012
27 https://doi.org/10.1016/s1875-5372(16)30012-1
28 https://doi.org/10.1021/acsami.5b03894
29 https://doi.org/10.1021/acsami.5b12677
30 https://doi.org/10.1021/jp3108528
31 https://doi.org/10.1021/nl204414u
32 https://doi.org/10.1039/c1cs15078b
33 https://doi.org/10.1039/c4ra05176a
34 https://doi.org/10.1039/c5nr06319a
35 https://doi.org/10.1039/c5tc02405f
36 https://doi.org/10.1039/c6nr01838f
37 https://doi.org/10.1039/c6nr03470e
38 https://doi.org/10.1039/c7nr02932b
39 https://doi.org/10.1039/c7ta01361b
40 https://doi.org/10.1063/1.1638898
41 https://doi.org/10.1063/1.4810924
42 https://doi.org/10.1088/1361-6528/aa8946
43 https://doi.org/10.1126/science.1102896
44 https://doi.org/10.1515/amm-2017-0287
45 https://doi.org/10.17159/2411-9717/2016/v116n12a12
46 schema:datePublished 2019-02
47 schema:datePublishedReg 2019-02-01
48 schema:description The incorporation of graphene into silver nanopowder to prepare their bulk composite with enhanced electrical and mechanical properties is investigated. The silver-doped graphene composite (GNs–Ag) is introduced as a reinforcing phase. Silver nanopowder and GNs–Ag composite are ultrasonically mixed and plasma-sintered to prepare GNs–Ag reinforced silver matrix bulk composite. The phase structure, micromorphology, chemical state of elements of the GNs–Ag nanoparticles was analyzed in detailed. Meanwhile, micromorphology and electrical properties of the sintered bulk composites are also measured. The results showed that graphene oxide (GO) and Ag ions are simultaneously reduced by hydrazine hydrate during the reaction. Ag nanoparticles (AgNP) presents the uniformly distribution on the surface of graphene sheets. The Raman spectrum is significantly enhanced compared with that of GO due to the presence of AgNP in the GNS–Ag nanoparticles. It is observed that C/O mass ratio demonstrates an increasing trend from 1.84 in graphene oxide to 6.29 in the composites materials. Compared to International Annealed Copper Standard, this composite material possesses an electrical conductivity of 92.6%, a density of 9.59 g cm−3, and a hardness of 46.12 HV. This phenomenon can be explained as that grain boundaries will be formed at the grain boundaries of silver due to the addition of graphene. In addition, it is found that the resistance of the GNs–Ag/n-Si (111) Schottky contact is lower than Ag/n-Si (111) Schottky contact.
49 schema:genre research_article
50 schema:inLanguage en
51 schema:isAccessibleForFree false
52 schema:isPartOf Naf2aa57760ad4c979f511bc1c1795dd5
53 Ne42d491ea7a445c2b1f05df024deec50
54 sg:journal.1022207
55 schema:name Preparation and characterization of silver-doped graphene-reinforced silver matrix bulk composite as a novel electrical contact material
56 schema:pagination 86
57 schema:productId N0877bb8a37d84a3eb056419524007186
58 Nbe7b16c15e13402d846c8469f08ff3a3
59 Nfee84ef29399405189021d7a2471383c
60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111311529
61 https://doi.org/10.1007/s00339-019-2379-1
62 schema:sdDatePublished 2019-04-11T09:13
63 schema:sdLicense https://scigraph.springernature.com/explorer/license/
64 schema:sdPublisher N3c4c12dc58bf4c348a5e546e7830d9fd
65 schema:url https://link.springer.com/10.1007%2Fs00339-019-2379-1
66 sgo:license sg:explorer/license/
67 sgo:sdDataset articles
68 rdf:type schema:ScholarlyArticle
69 N06cd302ca82b47eeb92f60b3554c1407 rdf:first sg:person.07561734547.20
70 rdf:rest rdf:nil
71 N0877bb8a37d84a3eb056419524007186 schema:name dimensions_id
72 schema:value pub.1111311529
73 rdf:type schema:PropertyValue
74 N27fa91489fe448ebba8e28ee08015374 schema:affiliation N8659051568414bdf8a3b8ce316fac29b
75 schema:familyName Li
76 schema:givenName Yapeng
77 rdf:type schema:Person
78 N2fba521611c246e5b57fda31fe3234eb rdf:first N27fa91489fe448ebba8e28ee08015374
79 rdf:rest N5819e1e706db4b4a90971fd545f67daa
80 N388789d2cb984f77a4b7c9bdcb931155 rdf:first sg:person.015670760006.17
81 rdf:rest Nb082fbea2e964583b4d990677a57e627
82 N3c4c12dc58bf4c348a5e546e7830d9fd schema:name Springer Nature - SN SciGraph project
83 rdf:type schema:Organization
84 N5819e1e706db4b4a90971fd545f67daa rdf:first sg:person.016265005747.50
85 rdf:rest N06cd302ca82b47eeb92f60b3554c1407
86 N8659051568414bdf8a3b8ce316fac29b schema:name School of Materials Science and Engineering, Shanxi University of Technology, 72300, Hanzhong, China
87 rdf:type schema:Organization
88 Naf2aa57760ad4c979f511bc1c1795dd5 schema:volumeNumber 125
89 rdf:type schema:PublicationVolume
90 Nb082fbea2e964583b4d990677a57e627 rdf:first sg:person.014032257051.13
91 rdf:rest N2fba521611c246e5b57fda31fe3234eb
92 Nbe7b16c15e13402d846c8469f08ff3a3 schema:name readcube_id
93 schema:value 90c257257923f3116ac4e226c7e12d4649ee3a0f3c5a047d92d95e4770dc778c
94 rdf:type schema:PropertyValue
95 Ne42d491ea7a445c2b1f05df024deec50 schema:issueNumber 2
96 rdf:type schema:PublicationIssue
97 Nfee84ef29399405189021d7a2471383c schema:name doi
98 schema:value 10.1007/s00339-019-2379-1
99 rdf:type schema:PropertyValue
100 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
101 schema:name Engineering
102 rdf:type schema:DefinedTerm
103 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
104 schema:name Materials Engineering
105 rdf:type schema:DefinedTerm
106 sg:grant.6997769 http://pending.schema.org/fundedItem sg:pub.10.1007/s00339-019-2379-1
107 rdf:type schema:MonetaryGrant
108 sg:journal.1022207 schema:issn 0947-8396
109 1432-0630
110 schema:name Applied Physics A
111 rdf:type schema:Periodical
112 sg:person.014032257051.13 schema:affiliation https://www.grid.ac/institutes/grid.440722.7
113 schema:familyName Wang
114 schema:givenName Xianhui
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014032257051.13
116 rdf:type schema:Person
117 sg:person.015670760006.17 schema:affiliation https://www.grid.ac/institutes/grid.440722.7
118 schema:familyName Zhang
119 schema:givenName Hui
120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015670760006.17
121 rdf:type schema:Person
122 sg:person.016265005747.50 schema:affiliation https://www.grid.ac/institutes/grid.412500.2
123 schema:familyName Guo
124 schema:givenName Changsheng
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016265005747.50
126 rdf:type schema:Person
127 sg:person.07561734547.20 schema:affiliation https://www.grid.ac/institutes/grid.412500.2
128 schema:familyName Zhang
129 schema:givenName Changming
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07561734547.20
131 rdf:type schema:Person
132 sg:pub.10.1007/s10853-014-8082-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1012245702
133 https://doi.org/10.1007/s10853-014-8082-x
134 rdf:type schema:CreativeWork
135 sg:pub.10.1007/s12274-010-1037-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1030764113
136 https://doi.org/10.1007/s12274-010-1037-x
137 rdf:type schema:CreativeWork
138 sg:pub.10.1038/srep07037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019967791
139 https://doi.org/10.1038/srep07037
140 rdf:type schema:CreativeWork
141 sg:pub.10.1134/s0031918x17070134 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091901629
142 https://doi.org/10.1134/s0031918x17070134
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1002/adma.201570282 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033241315
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1002/smll.200900726 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002088007
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/j.aca.2016.05.048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030100279
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/j.actamat.2018.03.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101554084
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/j.ceramint.2013.01.041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034928678
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/j.commatsci.2013.06.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017784859
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/j.commatsci.2015.12.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008683343
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/j.compositesb.2013.12.043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030937543
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/j.compscitech.2012.05.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008096474
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/j.jallcom.2013.10.222 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033814221
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/j.jeurceramsoc.2012.07.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040281938
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/j.matdes.2012.05.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015492727
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/j.matlet.2016.07.080 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030768455
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/j.mattod.2013.01.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039063273
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/j.msea.2011.07.043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049330258
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/j.mser.2013.08.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051691613
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/j.pmatsci.2017.07.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090858943
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/j.proeng.2014.12.381 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000861151
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/j.scriptamat.2012.01.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046083241
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/s1875-5372(16)30012-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034298812
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1021/acsami.5b03894 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055127240
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1021/acsami.5b12677 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055129374
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1021/jp3108528 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025627574
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1021/nl204414u schema:sameAs https://app.dimensions.ai/details/publication/pub.1056219176
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1039/c1cs15078b schema:sameAs https://app.dimensions.ai/details/publication/pub.1018274097
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1039/c4ra05176a schema:sameAs https://app.dimensions.ai/details/publication/pub.1043771888
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1039/c5nr06319a schema:sameAs https://app.dimensions.ai/details/publication/pub.1010643520
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1039/c5tc02405f schema:sameAs https://app.dimensions.ai/details/publication/pub.1015465921
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1039/c6nr01838f schema:sameAs https://app.dimensions.ai/details/publication/pub.1049559582
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1039/c6nr03470e schema:sameAs https://app.dimensions.ai/details/publication/pub.1023789899
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1039/c7nr02932b schema:sameAs https://app.dimensions.ai/details/publication/pub.1086203015
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1039/c7ta01361b schema:sameAs https://app.dimensions.ai/details/publication/pub.1084137058
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1063/1.1638898 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057728798
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1063/1.4810924 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058077581
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1088/1361-6528/aa8946 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091434707
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1126/science.1102896 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019008412
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1515/amm-2017-0287 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092311441
217 rdf:type schema:CreativeWork
218 https://doi.org/10.17159/2411-9717/2016/v116n12a12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085325728
219 rdf:type schema:CreativeWork
220 https://www.grid.ac/institutes/grid.412500.2 schema:alternateName Shaanxi University of Technology
221 schema:name School of Mechanical Engineering, Shaanxi University of Technology, 723000, Hanzhong, China
222 rdf:type schema:Organization
223 https://www.grid.ac/institutes/grid.440722.7 schema:alternateName Xi'an University of Technology
224 schema:name School of Materials Science and Engineering, Shanxi University of Technology, 72300, Hanzhong, China
225 School of Materials Science and Engineering, Xi’an University of Technology, 710048, Xi’an, China
226 rdf:type schema:Organization
 




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


...