Automatic graphene transfer system for improved material quality and efficiency View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-04

AUTHORS

Alberto Boscá, Jorge Pedrós, Javier Martínez, Tomás Palacios, Fernando Calle

ABSTRACT

In most applications based on chemical vapor deposition (CVD) graphene, the transfer from the growth to the target substrate is a critical step for the final device performance. Manual procedures are time consuming and depend on handling skills, whereas existing automatic roll-to-roll methods work well for flexible substrates but tend to induce mechanical damage in rigid ones. A new system that automatically transfers CVD graphene to an arbitrary target substrate has been developed. The process is based on the all-fluidic manipulation of the graphene to avoid mechanical damage, strain and contamination, and on the combination of capillary action and electrostatic repulsion between the graphene and its container to ensure a centered sample on top of the target substrate. The improved carrier mobility and yield of the automatically transferred graphene, as compared to that manually transferred, is demonstrated by the optical and electrical characterization of field-effect transistors fabricated on both materials. In particular, 70% higher mobility values, with a 30% decrease in the unintentional doping and a 10% strain reduction are achieved. The system has been developed for lab-scale transfer and proved to be scalable for industrial applications. More... »

PAGES

21676

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/srep21676

DOI

http://dx.doi.org/10.1038/srep21676

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1027389364

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26860260


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": "Technical University of Madrid", 
          "id": "https://www.grid.ac/institutes/grid.5690.a", 
          "name": [
            "Instituto de Sistemas Optoelectr\u00f3nicos y Microtecnolog\u00eda, Universidad Polit\u00e9cnica de Madrid, Madrid, 28040, Spain", 
            "Dpto. de Ingenier\u00eda Electr\u00f3nica, E.T.S.I de Telecomunicaci\u00f3n, Universidad Polit\u00e9cnica de Madrid, Madrid, 28040, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bosc\u00e1", 
        "givenName": "Alberto", 
        "id": "sg:person.01127216333.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01127216333.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Technical University of Madrid", 
          "id": "https://www.grid.ac/institutes/grid.5690.a", 
          "name": [
            "Instituto de Sistemas Optoelectr\u00f3nicos y Microtecnolog\u00eda, Universidad Polit\u00e9cnica de Madrid, Madrid, 28040, Spain", 
            "Dpto. de Ingenier\u00eda Electr\u00f3nica, E.T.S.I de Telecomunicaci\u00f3n, Universidad Polit\u00e9cnica de Madrid, Madrid, 28040, Spain", 
            "Campus de Excelencia Internacional, Campus Moncloa UCM-UPM, Madrid, 28040, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pedr\u00f3s", 
        "givenName": "Jorge", 
        "id": "sg:person.01047503762.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01047503762.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Technical University of Madrid", 
          "id": "https://www.grid.ac/institutes/grid.5690.a", 
          "name": [
            "Instituto de Sistemas Optoelectr\u00f3nicos y Microtecnolog\u00eda, Universidad Polit\u00e9cnica de Madrid, Madrid, 28040, Spain", 
            "Dpto. de Ciencia de Materiales, E.T.S.I de Caminos, Canales y Puertos, Universidad Polit\u00e9cnica de Madrid, Madrid, 28040, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mart\u00ednez", 
        "givenName": "Javier", 
        "id": "sg:person.01216332765.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01216332765.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Massachusetts Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.116068.8", 
          "name": [
            "Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Palacios", 
        "givenName": "Tom\u00e1s", 
        "id": "sg:person.01271562573.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271562573.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Technical University of Madrid", 
          "id": "https://www.grid.ac/institutes/grid.5690.a", 
          "name": [
            "Instituto de Sistemas Optoelectr\u00f3nicos y Microtecnolog\u00eda, Universidad Polit\u00e9cnica de Madrid, Madrid, 28040, Spain", 
            "Dpto. de Ingenier\u00eda Electr\u00f3nica, E.T.S.I de Telecomunicaci\u00f3n, Universidad Polit\u00e9cnica de Madrid, Madrid, 28040, Spain", 
            "Campus de Excelencia Internacional, Campus Moncloa UCM-UPM, Madrid, 28040, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Calle", 
        "givenName": "Fernando", 
        "id": "sg:person.0712050456.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712050456.62"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1021/nl903272n", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002530852"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl903272n", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002530852"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/smll.201401196", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003365406"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pssb.201300125", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003679986"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nn203700w", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003720018"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.201301152", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009809119"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature12763", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012393295", 
          "https://doi.org/10.1038/nature12763"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nn301207d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012952822"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nphys2114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013804181", 
          "https://doi.org/10.1038/nphys2114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nnano.2012.224", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014580392", 
          "https://doi.org/10.1038/nnano.2012.224"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.201400773", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014668461"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl102824h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016533540"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl102824h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016533540"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature09579", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018507382", 
          "https://doi.org/10.1038/nature09579"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature09579", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018507382", 
          "https://doi.org/10.1038/nature09579"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nnano.2010.172", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018587379", 
          "https://doi.org/10.1038/nnano.2010.172"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nnano.2010.172", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018587379", 
          "https://doi.org/10.1038/nnano.2010.172"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0040-6090(92)90417-a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019596090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0040-6090(92)90417-a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019596090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.4906972", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021901544"
        ], 
        "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/10.1063/1.4866387", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023958445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nnano.2008.67", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024324186", 
          "https://doi.org/10.1038/nnano.2008.67"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nphoton.2010.186", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031313355", 
          "https://doi.org/10.1038/nphoton.2010.186"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nphoton.2010.186", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031313355", 
          "https://doi.org/10.1038/nphoton.2010.186"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.carbon.2013.01.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031928301"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nphoton.2012.262", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032888903", 
          "https://doi.org/10.1038/nphoton.2012.262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp807380s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033993977"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp807380s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033993977"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms2022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036134735", 
          "https://doi.org/10.1038/ncomms2022"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl902623y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036136012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl902623y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036136012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/admi.201400115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036244487"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms1702", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036413274", 
          "https://doi.org/10.1038/ncomms1702"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ssc.2012.04.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038054303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl801827v", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040491531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl801827v", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040491531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.79.155417", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041868217"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.79.155417", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041868217"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.4775583", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045525905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nn203377t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048095000"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl304647t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049284835"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nn201207c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049823089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.201305940", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050178066"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.langmuir.5b01479", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055116074"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl204414u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056219176"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.4776707", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058066892"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.76.233407", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060623236"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.76.233407", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060623236"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-04", 
    "datePublishedReg": "2016-04-01", 
    "description": "In most applications based on chemical vapor deposition (CVD) graphene, the transfer from the growth to the target substrate is a critical step for the final device performance. Manual procedures are time consuming and depend on handling skills, whereas existing automatic roll-to-roll methods work well for flexible substrates but tend to induce mechanical damage in rigid ones. A new system that automatically transfers CVD graphene to an arbitrary target substrate has been developed. The process is based on the all-fluidic manipulation of the graphene to avoid mechanical damage, strain and contamination, and on the combination of capillary action and electrostatic repulsion between the graphene and its container to ensure a centered sample on top of the target substrate. The improved carrier mobility and yield of the automatically transferred graphene, as compared to that manually transferred, is demonstrated by the optical and electrical characterization of field-effect transistors fabricated on both materials. In particular, 70% higher mobility values, with a 30% decrease in the unintentional doping and a 10% strain reduction are achieved. The system has been developed for lab-scale transfer and proved to be scalable for industrial applications. ", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/srep21676", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "6"
      }
    ], 
    "name": "Automatic graphene transfer system for improved material quality and efficiency", 
    "pagination": "21676", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "82794954b9f58636e8f91f9faf334be42bcf74ecd36f70872f8dd3d55343a34d"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26860260"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/srep21676"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1027389364"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/srep21676", 
      "https://app.dimensions.ai/details/publication/pub.1027389364"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:15", 
    "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_8678_00000550.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.nature.com/articles/srep21676"
  }
]
 

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/srep21676'

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/srep21676'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/srep21676'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/srep21676'


 

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

227 TRIPLES      21 PREDICATES      67 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/srep21676 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author Na2a0a8eae42a4cc3bfc01a22018e7925
4 schema:citation sg:pub.10.1038/nature09579
5 sg:pub.10.1038/nature12763
6 sg:pub.10.1038/ncomms1702
7 sg:pub.10.1038/ncomms2022
8 sg:pub.10.1038/nnano.2008.67
9 sg:pub.10.1038/nnano.2010.132
10 sg:pub.10.1038/nnano.2010.172
11 sg:pub.10.1038/nnano.2012.224
12 sg:pub.10.1038/nphoton.2010.186
13 sg:pub.10.1038/nphoton.2012.262
14 sg:pub.10.1038/nphys2114
15 https://doi.org/10.1002/adma.201301152
16 https://doi.org/10.1002/adma.201305940
17 https://doi.org/10.1002/adma.201400773
18 https://doi.org/10.1002/admi.201400115
19 https://doi.org/10.1002/pssb.201300125
20 https://doi.org/10.1002/smll.201401196
21 https://doi.org/10.1016/0040-6090(92)90417-a
22 https://doi.org/10.1016/j.carbon.2013.01.011
23 https://doi.org/10.1016/j.ssc.2012.04.021
24 https://doi.org/10.1021/acs.langmuir.5b01479
25 https://doi.org/10.1021/jp807380s
26 https://doi.org/10.1021/nl102824h
27 https://doi.org/10.1021/nl204414u
28 https://doi.org/10.1021/nl304647t
29 https://doi.org/10.1021/nl801827v
30 https://doi.org/10.1021/nl902623y
31 https://doi.org/10.1021/nl903272n
32 https://doi.org/10.1021/nn201207c
33 https://doi.org/10.1021/nn203377t
34 https://doi.org/10.1021/nn203700w
35 https://doi.org/10.1021/nn301207d
36 https://doi.org/10.1063/1.4775583
37 https://doi.org/10.1063/1.4776707
38 https://doi.org/10.1063/1.4866387
39 https://doi.org/10.1063/1.4906972
40 https://doi.org/10.1103/physrevb.76.233407
41 https://doi.org/10.1103/physrevb.79.155417
42 schema:datePublished 2016-04
43 schema:datePublishedReg 2016-04-01
44 schema:description In most applications based on chemical vapor deposition (CVD) graphene, the transfer from the growth to the target substrate is a critical step for the final device performance. Manual procedures are time consuming and depend on handling skills, whereas existing automatic roll-to-roll methods work well for flexible substrates but tend to induce mechanical damage in rigid ones. A new system that automatically transfers CVD graphene to an arbitrary target substrate has been developed. The process is based on the all-fluidic manipulation of the graphene to avoid mechanical damage, strain and contamination, and on the combination of capillary action and electrostatic repulsion between the graphene and its container to ensure a centered sample on top of the target substrate. The improved carrier mobility and yield of the automatically transferred graphene, as compared to that manually transferred, is demonstrated by the optical and electrical characterization of field-effect transistors fabricated on both materials. In particular, 70% higher mobility values, with a 30% decrease in the unintentional doping and a 10% strain reduction are achieved. The system has been developed for lab-scale transfer and proved to be scalable for industrial applications.
45 schema:genre research_article
46 schema:inLanguage en
47 schema:isAccessibleForFree true
48 schema:isPartOf N10f575c582fc4eb992f24a583e3b4b1e
49 N92d575ed59c34a548f333adac09d8bf0
50 sg:journal.1045337
51 schema:name Automatic graphene transfer system for improved material quality and efficiency
52 schema:pagination 21676
53 schema:productId N1cbc5e3c67464238b71d25c0806a8c71
54 N29926f44e8e34bb992511e429d05a8f5
55 N466692a21734471badd5425bc4b27c7f
56 N640620bf6ba846efb8712d5b7d95f088
57 Nb06cd453afe14a679485bc70e2b9c934
58 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027389364
59 https://doi.org/10.1038/srep21676
60 schema:sdDatePublished 2019-04-10T19:15
61 schema:sdLicense https://scigraph.springernature.com/explorer/license/
62 schema:sdPublisher N78a2918b26054d278a61f1a0dd86fa68
63 schema:url http://www.nature.com/articles/srep21676
64 sgo:license sg:explorer/license/
65 sgo:sdDataset articles
66 rdf:type schema:ScholarlyArticle
67 N10f575c582fc4eb992f24a583e3b4b1e schema:issueNumber 1
68 rdf:type schema:PublicationIssue
69 N1cbc5e3c67464238b71d25c0806a8c71 schema:name dimensions_id
70 schema:value pub.1027389364
71 rdf:type schema:PropertyValue
72 N24da139c9f14402c92830f4350a601ad rdf:first sg:person.0712050456.62
73 rdf:rest rdf:nil
74 N29926f44e8e34bb992511e429d05a8f5 schema:name pubmed_id
75 schema:value 26860260
76 rdf:type schema:PropertyValue
77 N425f09c133674e7c93e7dd4bca510a6e rdf:first sg:person.01216332765.30
78 rdf:rest Nd4ae9849309842d8bd225c4d8e992639
79 N466692a21734471badd5425bc4b27c7f schema:name doi
80 schema:value 10.1038/srep21676
81 rdf:type schema:PropertyValue
82 N640620bf6ba846efb8712d5b7d95f088 schema:name readcube_id
83 schema:value 82794954b9f58636e8f91f9faf334be42bcf74ecd36f70872f8dd3d55343a34d
84 rdf:type schema:PropertyValue
85 N78a2918b26054d278a61f1a0dd86fa68 schema:name Springer Nature - SN SciGraph project
86 rdf:type schema:Organization
87 N92d575ed59c34a548f333adac09d8bf0 schema:volumeNumber 6
88 rdf:type schema:PublicationVolume
89 Na2a0a8eae42a4cc3bfc01a22018e7925 rdf:first sg:person.01127216333.30
90 rdf:rest Ne729dbe9841f4a138815f1d462833847
91 Nb06cd453afe14a679485bc70e2b9c934 schema:name nlm_unique_id
92 schema:value 101563288
93 rdf:type schema:PropertyValue
94 Nd4ae9849309842d8bd225c4d8e992639 rdf:first sg:person.01271562573.00
95 rdf:rest N24da139c9f14402c92830f4350a601ad
96 Ne729dbe9841f4a138815f1d462833847 rdf:first sg:person.01047503762.58
97 rdf:rest N425f09c133674e7c93e7dd4bca510a6e
98 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
99 schema:name Engineering
100 rdf:type schema:DefinedTerm
101 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
102 schema:name Materials Engineering
103 rdf:type schema:DefinedTerm
104 sg:journal.1045337 schema:issn 2045-2322
105 schema:name Scientific Reports
106 rdf:type schema:Periodical
107 sg:person.01047503762.58 schema:affiliation https://www.grid.ac/institutes/grid.5690.a
108 schema:familyName Pedrós
109 schema:givenName Jorge
110 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01047503762.58
111 rdf:type schema:Person
112 sg:person.01127216333.30 schema:affiliation https://www.grid.ac/institutes/grid.5690.a
113 schema:familyName Boscá
114 schema:givenName Alberto
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01127216333.30
116 rdf:type schema:Person
117 sg:person.01216332765.30 schema:affiliation https://www.grid.ac/institutes/grid.5690.a
118 schema:familyName Martínez
119 schema:givenName Javier
120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01216332765.30
121 rdf:type schema:Person
122 sg:person.01271562573.00 schema:affiliation https://www.grid.ac/institutes/grid.116068.8
123 schema:familyName Palacios
124 schema:givenName Tomás
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271562573.00
126 rdf:type schema:Person
127 sg:person.0712050456.62 schema:affiliation https://www.grid.ac/institutes/grid.5690.a
128 schema:familyName Calle
129 schema:givenName Fernando
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712050456.62
131 rdf:type schema:Person
132 sg:pub.10.1038/nature09579 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018507382
133 https://doi.org/10.1038/nature09579
134 rdf:type schema:CreativeWork
135 sg:pub.10.1038/nature12763 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012393295
136 https://doi.org/10.1038/nature12763
137 rdf:type schema:CreativeWork
138 sg:pub.10.1038/ncomms1702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036413274
139 https://doi.org/10.1038/ncomms1702
140 rdf:type schema:CreativeWork
141 sg:pub.10.1038/ncomms2022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036134735
142 https://doi.org/10.1038/ncomms2022
143 rdf:type schema:CreativeWork
144 sg:pub.10.1038/nnano.2008.67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024324186
145 https://doi.org/10.1038/nnano.2008.67
146 rdf:type schema:CreativeWork
147 sg:pub.10.1038/nnano.2010.132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022328266
148 https://doi.org/10.1038/nnano.2010.132
149 rdf:type schema:CreativeWork
150 sg:pub.10.1038/nnano.2010.172 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018587379
151 https://doi.org/10.1038/nnano.2010.172
152 rdf:type schema:CreativeWork
153 sg:pub.10.1038/nnano.2012.224 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014580392
154 https://doi.org/10.1038/nnano.2012.224
155 rdf:type schema:CreativeWork
156 sg:pub.10.1038/nphoton.2010.186 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031313355
157 https://doi.org/10.1038/nphoton.2010.186
158 rdf:type schema:CreativeWork
159 sg:pub.10.1038/nphoton.2012.262 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032888903
160 https://doi.org/10.1038/nphoton.2012.262
161 rdf:type schema:CreativeWork
162 sg:pub.10.1038/nphys2114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013804181
163 https://doi.org/10.1038/nphys2114
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1002/adma.201301152 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009809119
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1002/adma.201305940 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050178066
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1002/adma.201400773 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014668461
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1002/admi.201400115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036244487
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1002/pssb.201300125 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003679986
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1002/smll.201401196 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003365406
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/0040-6090(92)90417-a schema:sameAs https://app.dimensions.ai/details/publication/pub.1019596090
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1016/j.carbon.2013.01.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031928301
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1016/j.ssc.2012.04.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038054303
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1021/acs.langmuir.5b01479 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055116074
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1021/jp807380s schema:sameAs https://app.dimensions.ai/details/publication/pub.1033993977
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1021/nl102824h schema:sameAs https://app.dimensions.ai/details/publication/pub.1016533540
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1021/nl204414u schema:sameAs https://app.dimensions.ai/details/publication/pub.1056219176
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1021/nl304647t schema:sameAs https://app.dimensions.ai/details/publication/pub.1049284835
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1021/nl801827v schema:sameAs https://app.dimensions.ai/details/publication/pub.1040491531
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1021/nl902623y schema:sameAs https://app.dimensions.ai/details/publication/pub.1036136012
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1021/nl903272n schema:sameAs https://app.dimensions.ai/details/publication/pub.1002530852
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1021/nn201207c schema:sameAs https://app.dimensions.ai/details/publication/pub.1049823089
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1021/nn203377t schema:sameAs https://app.dimensions.ai/details/publication/pub.1048095000
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1021/nn203700w schema:sameAs https://app.dimensions.ai/details/publication/pub.1003720018
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1021/nn301207d schema:sameAs https://app.dimensions.ai/details/publication/pub.1012952822
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1063/1.4775583 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045525905
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1063/1.4776707 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058066892
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1063/1.4866387 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023958445
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1063/1.4906972 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021901544
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1103/physrevb.76.233407 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060623236
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1103/physrevb.79.155417 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041868217
218 rdf:type schema:CreativeWork
219 https://www.grid.ac/institutes/grid.116068.8 schema:alternateName Massachusetts Institute of Technology
220 schema:name Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139, USA
221 rdf:type schema:Organization
222 https://www.grid.ac/institutes/grid.5690.a schema:alternateName Technical University of Madrid
223 schema:name Campus de Excelencia Internacional, Campus Moncloa UCM-UPM, Madrid, 28040, Spain
224 Dpto. de Ciencia de Materiales, E.T.S.I de Caminos, Canales y Puertos, Universidad Politécnica de Madrid, Madrid, 28040, Spain
225 Dpto. de Ingeniería Electrónica, E.T.S.I de Telecomunicación, Universidad Politécnica de Madrid, Madrid, 28040, Spain
226 Instituto de Sistemas Optoelectrónicos y Microtecnología, Universidad Politécnica de Madrid, Madrid, 28040, Spain
227 rdf:type schema:Organization
 




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


...