Length-dependent thermal conductivity in suspended single-layer graphene View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-12

AUTHORS

Xiangfan Xu, Luiz F. C. Pereira, Yu Wang, Jing Wu, Kaiwen Zhang, Xiangming Zhao, Sukang Bae, Cong Tinh Bui, Rongguo Xie, John T. L. Thong, Byung Hee Hong, Kian Ping Loh, Davide Donadio, Baowen Li, Barbaros Özyilmaz

ABSTRACT

Graphene exhibits extraordinary electronic and mechanical properties, and extremely high thermal conductivity. Being a very stable atomically thick membrane that can be suspended between two leads, graphene provides a perfect test platform for studying thermal conductivity in two-dimensional systems, which is of primary importance for phonon transport in low-dimensional materials. Here we report experimental measurements and non-equilibrium molecular dynamics simulations of thermal conduction in suspended single-layer graphene as a function of both temperature and sample length. Interestingly and in contrast to bulk materials, at 300 K, thermal conductivity keeps increasing and remains logarithmically divergent with sample length even for sample lengths much larger than the average phonon mean free path. This result is a consequence of the two-dimensional nature of phonons in graphene, and provides fundamental understanding of thermal transport in two-dimensional materials. More... »

PAGES

3689

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/ncomms4689

DOI

http://dx.doi.org/10.1038/ncomms4689

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1006801792

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24736666


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": "National University of Singapore", 
          "id": "https://www.grid.ac/institutes/grid.4280.e", 
          "name": [
            "Department of Physics, National University of Singapore, Singapore 117542, Singapore", 
            "Graphene Research Center, National University of Singapore, Singapore 117542, Singapore", 
            "NanoCore, 4 Engineering Drive 3, National University of Singapore, Singapore 117576, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xu", 
        "givenName": "Xiangfan", 
        "id": "sg:person.0626354334.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626354334.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Max Planck Institute for Polymer Research", 
          "id": "https://www.grid.ac/institutes/grid.419547.a", 
          "name": [
            "Max Planck Institute for Polymer Research, Ackermannweg 10, Mainz 55128, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pereira", 
        "givenName": "Luiz F. C.", 
        "id": "sg:person.01141641011.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01141641011.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Process Engineering", 
          "id": "https://www.grid.ac/institutes/grid.458442.b", 
          "name": [
            "State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Science, Beijing 100190, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Yu", 
        "id": "sg:person.01340550720.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01340550720.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National University of Singapore", 
          "id": "https://www.grid.ac/institutes/grid.4280.e", 
          "name": [
            "Department of Physics, National University of Singapore, Singapore 117542, Singapore", 
            "Graphene Research Center, National University of Singapore, Singapore 117542, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wu", 
        "givenName": "Jing", 
        "id": "sg:person.01144747177.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01144747177.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National University of Singapore", 
          "id": "https://www.grid.ac/institutes/grid.4280.e", 
          "name": [
            "Department of Physics, National University of Singapore, Singapore 117542, Singapore", 
            "Graphene Research Center, National University of Singapore, Singapore 117542, Singapore", 
            "Centre for Computational Science and Engineering, National University of Singapore, Singapore 117542, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Kaiwen", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National University of Singapore", 
          "id": "https://www.grid.ac/institutes/grid.4280.e", 
          "name": [
            "Department of Physics, National University of Singapore, Singapore 117542, Singapore", 
            "Graphene Research Center, National University of Singapore, Singapore 117542, Singapore", 
            "Centre for Computational Science and Engineering, National University of Singapore, Singapore 117542, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhao", 
        "givenName": "Xiangming", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sungkyunkwan University", 
          "id": "https://www.grid.ac/institutes/grid.264381.a", 
          "name": [
            "SKKU Advanced Institute of Nanotechnology (SAINT) and Center for Human Interface Nano Technology (HINT), Sungkyunkwan University, Suwon 440-746, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bae", 
        "givenName": "Sukang", 
        "id": "sg:person.01003046500.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003046500.98"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National University of Singapore", 
          "id": "https://www.grid.ac/institutes/grid.4280.e", 
          "name": [
            "NUS Graduate School for Integrative Science and Engineering, Singapore 117456, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bui", 
        "givenName": "Cong Tinh", 
        "id": "sg:person.01245251627.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01245251627.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National University of Singapore", 
          "id": "https://www.grid.ac/institutes/grid.4280.e", 
          "name": [
            "Department of Physics, National University of Singapore, Singapore 117542, Singapore", 
            "Centre for Computational Science and Engineering, National University of Singapore, Singapore 117542, Singapore", 
            "Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117576, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xie", 
        "givenName": "Rongguo", 
        "id": "sg:person.01361500227.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361500227.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National University of Singapore", 
          "id": "https://www.grid.ac/institutes/grid.4280.e", 
          "name": [
            "NUS Graduate School for Integrative Science and Engineering, Singapore 117456, Singapore", 
            "Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117576, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Thong", 
        "givenName": "John T. L.", 
        "id": "sg:person.014560673654.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014560673654.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University", 
          "id": "https://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Chemistry, Seoul National University, Seoul 152-742, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hong", 
        "givenName": "Byung Hee", 
        "id": "sg:person.01256100673.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256100673.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National University of Singapore", 
          "id": "https://www.grid.ac/institutes/grid.4280.e", 
          "name": [
            "Graphene Research Center, National University of Singapore, Singapore 117542, Singapore", 
            "NUS Graduate School for Integrative Science and Engineering, Singapore 117456, Singapore", 
            "Department of Chemistry, National University of Singapore, Singapore 117543, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Loh", 
        "givenName": "Kian Ping", 
        "id": "sg:person.0752174033.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0752174033.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Max Planck Institute for Polymer Research", 
          "id": "https://www.grid.ac/institutes/grid.419547.a", 
          "name": [
            "Max Planck Institute for Polymer Research, Ackermannweg 10, Mainz 55128, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Donadio", 
        "givenName": "Davide", 
        "id": "sg:person.01033644072.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033644072.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National University of Singapore", 
          "id": "https://www.grid.ac/institutes/grid.4280.e", 
          "name": [
            "Department of Physics, National University of Singapore, Singapore 117542, Singapore", 
            "Graphene Research Center, National University of Singapore, Singapore 117542, Singapore", 
            "Centre for Computational Science and Engineering, National University of Singapore, Singapore 117542, Singapore", 
            "NUS Graduate School for Integrative Science and Engineering, Singapore 117456, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Baowen", 
        "id": "sg:person.0617262004.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617262004.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National University of Singapore", 
          "id": "https://www.grid.ac/institutes/grid.4280.e", 
          "name": [
            "Department of Physics, National University of Singapore, Singapore 117542, Singapore", 
            "Graphene Research Center, National University of Singapore, Singapore 117542, Singapore", 
            "NanoCore, 4 Engineering Drive 3, National University of Singapore, Singapore 117576, Singapore", 
            "NUS Graduate School for Integrative Science and Engineering, Singapore 117456, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "\u00d6zyilmaz", 
        "givenName": "Barbaros", 
        "id": "sg:person.01016454100.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01016454100.33"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1103/physrevlett.84.2857", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000773612"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.84.2857", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000773612"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04233", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001061831", 
          "https://doi.org/10.1038/nature04233"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04233", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001061831", 
          "https://doi.org/10.1038/nature04233"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04233", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001061831", 
          "https://doi.org/10.1038/nature04233"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl0731872", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002634830"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl0731872", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002634830"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.3136860", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002736299"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c2nr32949b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003250069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.nantod.2010.02.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003288468"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nn203700w", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003720018"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat3303", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006682721", 
          "https://doi.org/10.1038/nmat3303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1171245", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006821145"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1171245", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006821145"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.89.200601", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007865923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.89.200601", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007865923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04235", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009714128", 
          "https://doi.org/10.1038/nature04235"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04235", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009714128", 
          "https://doi.org/10.1038/nature04235"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04235", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009714128", 
          "https://doi.org/10.1038/nature04235"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1006776107140", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012488995", 
          "https://doi.org/10.1023/a:1006776107140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.83.081419", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015819752"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.83.081419", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015819752"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.112.040601", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015934820"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.112.040601", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015934820"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat2753", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018030716", 
          "https://doi.org/10.1038/nmat2753"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat2753", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018030716", 
          "https://doi.org/10.1038/nmat2753"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms2755", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022028058", 
          "https://doi.org/10.1038/ncomms2755"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nnano.2010.132", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022328266", 
          "https://doi.org/10.1038/nnano.2010.132"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nnano.2010.132", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022328266", 
          "https://doi.org/10.1038/nnano.2010.132"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.201303362", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029275061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.59.13707", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030796741"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.59.13707", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030796741"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.87.215502", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036022562"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.87.215502", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036022562"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.91.044301", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038535788"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.91.044301", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038535788"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.81.205441", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038590186"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.81.205441", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038590186"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat3207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042269833", 
          "https://doi.org/10.1038/nmat3207"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl9041966", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043798320"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl9041966", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043798320"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1018721525900", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046634574", 
          "https://doi.org/10.1023/a:1018721525900"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.87.125424", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047191800"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.87.125424", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047191800"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00018730802538522", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047748709"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl101613u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056218017"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl101613u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056218017"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl102923q", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056218214"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl102923q", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056218214"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl104156y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056218380"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl104156y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056218380"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl202694m", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056218868"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl301230g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056219390"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nn102915x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056223082"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nn9016229", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056227541"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.2907977", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057881101"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.3435465", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057951612"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.3665226", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057995251"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.473271", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058054413"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.4817175", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058080216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.82.115427", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060633736"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.82.115427", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060633736"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.86.104307", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060639894"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.86.104307", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060639894"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.74.062101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060735376"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.74.062101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060735376"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.86.040101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060743982"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.86.040101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060743982"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.101.075903", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060753905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.101.075903", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060753905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.101.235502", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060754461"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.101.235502", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060754461"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.95.096105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060830811"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.95.096105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060830811"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.95.096105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060830811"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.1597619", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062072740"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-12", 
    "datePublishedReg": "2014-12-01", 
    "description": "Graphene exhibits extraordinary electronic and mechanical properties, and extremely high thermal conductivity. Being a very stable atomically thick membrane that can be suspended between two leads, graphene provides a perfect test platform for studying thermal conductivity in two-dimensional systems, which is of primary importance for phonon transport in low-dimensional materials. Here we report experimental measurements and non-equilibrium molecular dynamics simulations of thermal conduction in suspended single-layer graphene as a function of both temperature and sample length. Interestingly and in contrast to bulk materials, at 300 K, thermal conductivity keeps increasing and remains logarithmically divergent with sample length even for sample lengths much larger than the average phonon mean free path. This result is a consequence of the two-dimensional nature of phonons in graphene, and provides fundamental understanding of thermal transport in two-dimensional materials.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/ncomms4689", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1043282", 
        "issn": [
          "2041-1723"
        ], 
        "name": "Nature Communications", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "5"
      }
    ], 
    "name": "Length-dependent thermal conductivity in suspended single-layer graphene", 
    "pagination": "3689", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "206652895ac1fc2fda319d844deaa9146755d386219c7704b5c52860a4192d0e"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24736666"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101528555"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/ncomms4689"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1006801792"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/ncomms4689", 
      "https://app.dimensions.ai/details/publication/pub.1006801792"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T00:56", 
    "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_8697_00000435.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/ncomms4689"
  }
]
 

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/ncomms4689'

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/ncomms4689'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/ncomms4689'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/ncomms4689'


 

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

332 TRIPLES      21 PREDICATES      76 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/ncomms4689 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author N71294b46d0044ca19aecc12e2b8bb3be
4 schema:citation sg:pub.10.1023/a:1006776107140
5 sg:pub.10.1023/a:1018721525900
6 sg:pub.10.1038/nature04233
7 sg:pub.10.1038/nature04235
8 sg:pub.10.1038/ncomms2755
9 sg:pub.10.1038/nmat2753
10 sg:pub.10.1038/nmat3207
11 sg:pub.10.1038/nmat3303
12 sg:pub.10.1038/nnano.2010.132
13 https://doi.org/10.1002/adma.201303362
14 https://doi.org/10.1016/j.nantod.2010.02.002
15 https://doi.org/10.1021/nl0731872
16 https://doi.org/10.1021/nl101613u
17 https://doi.org/10.1021/nl102923q
18 https://doi.org/10.1021/nl104156y
19 https://doi.org/10.1021/nl202694m
20 https://doi.org/10.1021/nl301230g
21 https://doi.org/10.1021/nl9041966
22 https://doi.org/10.1021/nn102915x
23 https://doi.org/10.1021/nn203700w
24 https://doi.org/10.1021/nn9016229
25 https://doi.org/10.1039/c2nr32949b
26 https://doi.org/10.1063/1.2907977
27 https://doi.org/10.1063/1.3136860
28 https://doi.org/10.1063/1.3435465
29 https://doi.org/10.1063/1.3665226
30 https://doi.org/10.1063/1.473271
31 https://doi.org/10.1063/1.4817175
32 https://doi.org/10.1080/00018730802538522
33 https://doi.org/10.1103/physrevb.59.13707
34 https://doi.org/10.1103/physrevb.81.205441
35 https://doi.org/10.1103/physrevb.82.115427
36 https://doi.org/10.1103/physrevb.83.081419
37 https://doi.org/10.1103/physrevb.86.104307
38 https://doi.org/10.1103/physrevb.87.125424
39 https://doi.org/10.1103/physreve.74.062101
40 https://doi.org/10.1103/physreve.86.040101
41 https://doi.org/10.1103/physrevlett.101.075903
42 https://doi.org/10.1103/physrevlett.101.235502
43 https://doi.org/10.1103/physrevlett.112.040601
44 https://doi.org/10.1103/physrevlett.84.2857
45 https://doi.org/10.1103/physrevlett.87.215502
46 https://doi.org/10.1103/physrevlett.89.200601
47 https://doi.org/10.1103/physrevlett.91.044301
48 https://doi.org/10.1103/physrevlett.95.096105
49 https://doi.org/10.1115/1.1597619
50 https://doi.org/10.1126/science.1171245
51 schema:datePublished 2014-12
52 schema:datePublishedReg 2014-12-01
53 schema:description Graphene exhibits extraordinary electronic and mechanical properties, and extremely high thermal conductivity. Being a very stable atomically thick membrane that can be suspended between two leads, graphene provides a perfect test platform for studying thermal conductivity in two-dimensional systems, which is of primary importance for phonon transport in low-dimensional materials. Here we report experimental measurements and non-equilibrium molecular dynamics simulations of thermal conduction in suspended single-layer graphene as a function of both temperature and sample length. Interestingly and in contrast to bulk materials, at 300 K, thermal conductivity keeps increasing and remains logarithmically divergent with sample length even for sample lengths much larger than the average phonon mean free path. This result is a consequence of the two-dimensional nature of phonons in graphene, and provides fundamental understanding of thermal transport in two-dimensional materials.
54 schema:genre research_article
55 schema:inLanguage en
56 schema:isAccessibleForFree true
57 schema:isPartOf N6cd7c44249c04fa398be8fb5644ac945
58 N8cac853eac7d45cf866683d0345bb16e
59 sg:journal.1043282
60 schema:name Length-dependent thermal conductivity in suspended single-layer graphene
61 schema:pagination 3689
62 schema:productId N1a5650369815426eb14307f6f13aa7f2
63 N4489b490368f43a09c7603ea7601e033
64 N44a21657b83b45f581ca7dfe7889c3ea
65 Ndae6ccb77f4f4a09a3a519c279d30d93
66 Ndb26deeac2734dabb4be042bb863bdd5
67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006801792
68 https://doi.org/10.1038/ncomms4689
69 schema:sdDatePublished 2019-04-11T00:56
70 schema:sdLicense https://scigraph.springernature.com/explorer/license/
71 schema:sdPublisher N19989146bb2b4c11957662527ab280d7
72 schema:url https://www.nature.com/articles/ncomms4689
73 sgo:license sg:explorer/license/
74 sgo:sdDataset articles
75 rdf:type schema:ScholarlyArticle
76 N077cdc40bac14ca090d520822f7eaf72 rdf:first sg:person.0752174033.73
77 rdf:rest N4af14fcb86944d06b19407adb12ff032
78 N14b36a6e9aa84b1daf9d3ab78610f26b rdf:first N8c61310e681149b9a7007d0a3b5c4043
79 rdf:rest Nd2d08a637c944bafbadc2de4c504f423
80 N1579989c24bd49f0b8ac83e6b10f78a9 rdf:first sg:person.01256100673.61
81 rdf:rest N077cdc40bac14ca090d520822f7eaf72
82 N19989146bb2b4c11957662527ab280d7 schema:name Springer Nature - SN SciGraph project
83 rdf:type schema:Organization
84 N1a5650369815426eb14307f6f13aa7f2 schema:name doi
85 schema:value 10.1038/ncomms4689
86 rdf:type schema:PropertyValue
87 N2559d53a8543437f950cf088fd07b00d rdf:first sg:person.014560673654.38
88 rdf:rest N1579989c24bd49f0b8ac83e6b10f78a9
89 N305badc78bab4c569a39137cf29afcec rdf:first sg:person.01003046500.98
90 rdf:rest N3e455f5a8d7b44c9928b5f0ae3d0daa4
91 N3e455f5a8d7b44c9928b5f0ae3d0daa4 rdf:first sg:person.01245251627.16
92 rdf:rest Nfa0bd06de26f42f382a057c09b51a81a
93 N4489b490368f43a09c7603ea7601e033 schema:name pubmed_id
94 schema:value 24736666
95 rdf:type schema:PropertyValue
96 N44a21657b83b45f581ca7dfe7889c3ea schema:name nlm_unique_id
97 schema:value 101528555
98 rdf:type schema:PropertyValue
99 N4af14fcb86944d06b19407adb12ff032 rdf:first sg:person.01033644072.15
100 rdf:rest N5152737e5ab54cd78c35a8354790de04
101 N5152737e5ab54cd78c35a8354790de04 rdf:first sg:person.0617262004.53
102 rdf:rest N96bae3bda2104e508af8a509f7bc146b
103 N6cd7c44249c04fa398be8fb5644ac945 schema:issueNumber 1
104 rdf:type schema:PublicationIssue
105 N71294b46d0044ca19aecc12e2b8bb3be rdf:first sg:person.0626354334.97
106 rdf:rest Nea0215fb8b0c446bab96872eb45031b2
107 N8c61310e681149b9a7007d0a3b5c4043 schema:affiliation https://www.grid.ac/institutes/grid.4280.e
108 schema:familyName Zhang
109 schema:givenName Kaiwen
110 rdf:type schema:Person
111 N8cac853eac7d45cf866683d0345bb16e schema:volumeNumber 5
112 rdf:type schema:PublicationVolume
113 N9215409bd8594639a7531cf035705aa1 rdf:first sg:person.01340550720.65
114 rdf:rest Nc365993e5aa945cfbbca69a0bad4ffa9
115 N96bae3bda2104e508af8a509f7bc146b rdf:first sg:person.01016454100.33
116 rdf:rest rdf:nil
117 Na769d6ca1bd54a25805458601428a363 schema:affiliation https://www.grid.ac/institutes/grid.4280.e
118 schema:familyName Zhao
119 schema:givenName Xiangming
120 rdf:type schema:Person
121 Nc365993e5aa945cfbbca69a0bad4ffa9 rdf:first sg:person.01144747177.39
122 rdf:rest N14b36a6e9aa84b1daf9d3ab78610f26b
123 Nd2d08a637c944bafbadc2de4c504f423 rdf:first Na769d6ca1bd54a25805458601428a363
124 rdf:rest N305badc78bab4c569a39137cf29afcec
125 Ndae6ccb77f4f4a09a3a519c279d30d93 schema:name dimensions_id
126 schema:value pub.1006801792
127 rdf:type schema:PropertyValue
128 Ndb26deeac2734dabb4be042bb863bdd5 schema:name readcube_id
129 schema:value 206652895ac1fc2fda319d844deaa9146755d386219c7704b5c52860a4192d0e
130 rdf:type schema:PropertyValue
131 Nea0215fb8b0c446bab96872eb45031b2 rdf:first sg:person.01141641011.42
132 rdf:rest N9215409bd8594639a7531cf035705aa1
133 Nfa0bd06de26f42f382a057c09b51a81a rdf:first sg:person.01361500227.30
134 rdf:rest N2559d53a8543437f950cf088fd07b00d
135 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
136 schema:name Engineering
137 rdf:type schema:DefinedTerm
138 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
139 schema:name Materials Engineering
140 rdf:type schema:DefinedTerm
141 sg:journal.1043282 schema:issn 2041-1723
142 schema:name Nature Communications
143 rdf:type schema:Periodical
144 sg:person.01003046500.98 schema:affiliation https://www.grid.ac/institutes/grid.264381.a
145 schema:familyName Bae
146 schema:givenName Sukang
147 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003046500.98
148 rdf:type schema:Person
149 sg:person.01016454100.33 schema:affiliation https://www.grid.ac/institutes/grid.4280.e
150 schema:familyName Özyilmaz
151 schema:givenName Barbaros
152 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01016454100.33
153 rdf:type schema:Person
154 sg:person.01033644072.15 schema:affiliation https://www.grid.ac/institutes/grid.419547.a
155 schema:familyName Donadio
156 schema:givenName Davide
157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033644072.15
158 rdf:type schema:Person
159 sg:person.01141641011.42 schema:affiliation https://www.grid.ac/institutes/grid.419547.a
160 schema:familyName Pereira
161 schema:givenName Luiz F. C.
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01141641011.42
163 rdf:type schema:Person
164 sg:person.01144747177.39 schema:affiliation https://www.grid.ac/institutes/grid.4280.e
165 schema:familyName Wu
166 schema:givenName Jing
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01144747177.39
168 rdf:type schema:Person
169 sg:person.01245251627.16 schema:affiliation https://www.grid.ac/institutes/grid.4280.e
170 schema:familyName Bui
171 schema:givenName Cong Tinh
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01245251627.16
173 rdf:type schema:Person
174 sg:person.01256100673.61 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
175 schema:familyName Hong
176 schema:givenName Byung Hee
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256100673.61
178 rdf:type schema:Person
179 sg:person.01340550720.65 schema:affiliation https://www.grid.ac/institutes/grid.458442.b
180 schema:familyName Wang
181 schema:givenName Yu
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01340550720.65
183 rdf:type schema:Person
184 sg:person.01361500227.30 schema:affiliation https://www.grid.ac/institutes/grid.4280.e
185 schema:familyName Xie
186 schema:givenName Rongguo
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361500227.30
188 rdf:type schema:Person
189 sg:person.014560673654.38 schema:affiliation https://www.grid.ac/institutes/grid.4280.e
190 schema:familyName Thong
191 schema:givenName John T. L.
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014560673654.38
193 rdf:type schema:Person
194 sg:person.0617262004.53 schema:affiliation https://www.grid.ac/institutes/grid.4280.e
195 schema:familyName Li
196 schema:givenName Baowen
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617262004.53
198 rdf:type schema:Person
199 sg:person.0626354334.97 schema:affiliation https://www.grid.ac/institutes/grid.4280.e
200 schema:familyName Xu
201 schema:givenName Xiangfan
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626354334.97
203 rdf:type schema:Person
204 sg:person.0752174033.73 schema:affiliation https://www.grid.ac/institutes/grid.4280.e
205 schema:familyName Loh
206 schema:givenName Kian Ping
207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0752174033.73
208 rdf:type schema:Person
209 sg:pub.10.1023/a:1006776107140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012488995
210 https://doi.org/10.1023/a:1006776107140
211 rdf:type schema:CreativeWork
212 sg:pub.10.1023/a:1018721525900 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046634574
213 https://doi.org/10.1023/a:1018721525900
214 rdf:type schema:CreativeWork
215 sg:pub.10.1038/nature04233 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001061831
216 https://doi.org/10.1038/nature04233
217 rdf:type schema:CreativeWork
218 sg:pub.10.1038/nature04235 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009714128
219 https://doi.org/10.1038/nature04235
220 rdf:type schema:CreativeWork
221 sg:pub.10.1038/ncomms2755 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022028058
222 https://doi.org/10.1038/ncomms2755
223 rdf:type schema:CreativeWork
224 sg:pub.10.1038/nmat2753 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018030716
225 https://doi.org/10.1038/nmat2753
226 rdf:type schema:CreativeWork
227 sg:pub.10.1038/nmat3207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042269833
228 https://doi.org/10.1038/nmat3207
229 rdf:type schema:CreativeWork
230 sg:pub.10.1038/nmat3303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006682721
231 https://doi.org/10.1038/nmat3303
232 rdf:type schema:CreativeWork
233 sg:pub.10.1038/nnano.2010.132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022328266
234 https://doi.org/10.1038/nnano.2010.132
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1002/adma.201303362 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029275061
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1016/j.nantod.2010.02.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003288468
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1021/nl0731872 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002634830
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1021/nl101613u schema:sameAs https://app.dimensions.ai/details/publication/pub.1056218017
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1021/nl102923q schema:sameAs https://app.dimensions.ai/details/publication/pub.1056218214
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1021/nl104156y schema:sameAs https://app.dimensions.ai/details/publication/pub.1056218380
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1021/nl202694m schema:sameAs https://app.dimensions.ai/details/publication/pub.1056218868
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1021/nl301230g schema:sameAs https://app.dimensions.ai/details/publication/pub.1056219390
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1021/nl9041966 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043798320
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1021/nn102915x schema:sameAs https://app.dimensions.ai/details/publication/pub.1056223082
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1021/nn203700w schema:sameAs https://app.dimensions.ai/details/publication/pub.1003720018
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1021/nn9016229 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056227541
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1039/c2nr32949b schema:sameAs https://app.dimensions.ai/details/publication/pub.1003250069
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1063/1.2907977 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057881101
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1063/1.3136860 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002736299
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1063/1.3435465 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057951612
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1063/1.3665226 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057995251
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1063/1.473271 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058054413
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1063/1.4817175 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058080216
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1080/00018730802538522 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047748709
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1103/physrevb.59.13707 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030796741
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1103/physrevb.81.205441 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038590186
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1103/physrevb.82.115427 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060633736
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1103/physrevb.83.081419 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015819752
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1103/physrevb.86.104307 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060639894
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1103/physrevb.87.125424 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047191800
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1103/physreve.74.062101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060735376
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1103/physreve.86.040101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060743982
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1103/physrevlett.101.075903 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060753905
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1103/physrevlett.101.235502 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060754461
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1103/physrevlett.112.040601 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015934820
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1103/physrevlett.84.2857 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000773612
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1103/physrevlett.87.215502 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036022562
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1103/physrevlett.89.200601 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007865923
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1103/physrevlett.91.044301 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038535788
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1103/physrevlett.95.096105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060830811
307 rdf:type schema:CreativeWork
308 https://doi.org/10.1115/1.1597619 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062072740
309 rdf:type schema:CreativeWork
310 https://doi.org/10.1126/science.1171245 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006821145
311 rdf:type schema:CreativeWork
312 https://www.grid.ac/institutes/grid.264381.a schema:alternateName Sungkyunkwan University
313 schema:name SKKU Advanced Institute of Nanotechnology (SAINT) and Center for Human Interface Nano Technology (HINT), Sungkyunkwan University, Suwon 440-746, Republic of Korea
314 rdf:type schema:Organization
315 https://www.grid.ac/institutes/grid.31501.36 schema:alternateName Seoul National University
316 schema:name Department of Chemistry, Seoul National University, Seoul 152-742, Republic of Korea
317 rdf:type schema:Organization
318 https://www.grid.ac/institutes/grid.419547.a schema:alternateName Max Planck Institute for Polymer Research
319 schema:name Max Planck Institute for Polymer Research, Ackermannweg 10, Mainz 55128, Germany
320 rdf:type schema:Organization
321 https://www.grid.ac/institutes/grid.4280.e schema:alternateName National University of Singapore
322 schema:name Centre for Computational Science and Engineering, National University of Singapore, Singapore 117542, Singapore
323 Department of Chemistry, National University of Singapore, Singapore 117543, Singapore
324 Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117576, Singapore
325 Department of Physics, National University of Singapore, Singapore 117542, Singapore
326 Graphene Research Center, National University of Singapore, Singapore 117542, Singapore
327 NUS Graduate School for Integrative Science and Engineering, Singapore 117456, Singapore
328 NanoCore, 4 Engineering Drive 3, National University of Singapore, Singapore 117576, Singapore
329 rdf:type schema:Organization
330 https://www.grid.ac/institutes/grid.458442.b schema:alternateName Institute of Process Engineering
331 schema:name State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Science, Beijing 100190, China
332 rdf:type schema:Organization
 




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


...