On-the-spot growth View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-11-23

AUTHORS

Li Lin, Zhongfan Liu

ABSTRACT

Large single-crystalline graphene monolayers have been synthesized on a Cu–Ni alloy using a local precursor feeding method with an enhanced growth rate. The fast production of wafer-scale single crystals brings graphene closer to real applications.

PAGES

9-10

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nmat4498

DOI

http://dx.doi.org/10.1038/nmat4498

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052331672

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26595120


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", 
    "author": [
      {
        "affiliation": {
          "alternateName": "Li Lin and Zhongfan Liu are at the Center for Nanochemistry, Beijing Science and Engineering Center for Nanocarbons, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, P. R. China", 
          "id": "http://www.grid.ac/institutes/grid.11135.37", 
          "name": [
            "Li Lin and Zhongfan Liu are at the Center for Nanochemistry, Beijing Science and Engineering Center for Nanocarbons, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, P. R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lin", 
        "givenName": "Li", 
        "id": "sg:person.011044314465.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011044314465.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Li Lin and Zhongfan Liu are at the Center for Nanochemistry, Beijing Science and Engineering Center for Nanocarbons, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, P. R. China", 
          "id": "http://www.grid.ac/institutes/grid.11135.37", 
          "name": [
            "Li Lin and Zhongfan Liu are at the Center for Nanochemistry, Beijing Science and Engineering Center for Nanocarbons, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, P. R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Zhongfan", 
        "id": "sg:person.0750635777.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0750635777.41"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nmat4477", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007813785", 
          "https://doi.org/10.1038/nmat4477"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature10680", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046488380", 
          "https://doi.org/10.1038/nature10680"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/2211044a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047948563", 
          "https://doi.org/10.1038/2211044a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature11458", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024564800", 
          "https://doi.org/10.1038/nature11458"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-11-23", 
    "datePublishedReg": "2015-11-23", 
    "description": "Large single-crystalline graphene monolayers have been synthesized on a Cu\u2013Ni alloy using a local precursor feeding method with an enhanced growth rate. The fast production of wafer-scale single crystals brings graphene closer to real applications.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/nmat4498", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1031408", 
        "issn": [
          "1476-1122", 
          "1476-4660"
        ], 
        "name": "Nature Materials", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "15"
      }
    ], 
    "keywords": [
      "wafer-scale single crystals", 
      "graphene monolayer", 
      "fast production", 
      "Cu-Ni alloy", 
      "feeding method", 
      "enhanced growth rate", 
      "real applications", 
      "monolayers", 
      "applications", 
      "single crystals", 
      "crystals", 
      "growth rate", 
      "production", 
      "method", 
      "alloy", 
      "growth", 
      "rate", 
      "spot growth"
    ], 
    "name": "On-the-spot growth", 
    "pagination": "9-10", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1052331672"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/nmat4498"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26595120"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/nmat4498", 
      "https://app.dimensions.ai/details/publication/pub.1052331672"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-12-01T06:33", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_667.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/nmat4498"
  }
]
 

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/nmat4498'

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/nmat4498'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nmat4498'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nmat4498'


 

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

94 TRIPLES      20 PREDICATES      45 URIs      35 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/nmat4498 schema:author Ne4ae60d8b2304b65b895965487dff7fc
2 schema:citation sg:pub.10.1038/2211044a0
3 sg:pub.10.1038/nature10680
4 sg:pub.10.1038/nature11458
5 sg:pub.10.1038/nmat4477
6 schema:datePublished 2015-11-23
7 schema:datePublishedReg 2015-11-23
8 schema:description Large single-crystalline graphene monolayers have been synthesized on a Cu–Ni alloy using a local precursor feeding method with an enhanced growth rate. The fast production of wafer-scale single crystals brings graphene closer to real applications.
9 schema:genre article
10 schema:isAccessibleForFree false
11 schema:isPartOf N799bc92bb26242d89cc6f9a5995e5bbb
12 Nf365eeda932941eda18e8d68e73b3c00
13 sg:journal.1031408
14 schema:keywords Cu-Ni alloy
15 alloy
16 applications
17 crystals
18 enhanced growth rate
19 fast production
20 feeding method
21 graphene monolayer
22 growth
23 growth rate
24 method
25 monolayers
26 production
27 rate
28 real applications
29 single crystals
30 spot growth
31 wafer-scale single crystals
32 schema:name On-the-spot growth
33 schema:pagination 9-10
34 schema:productId N5ff124d5b51d499f9bc8a29a1ccd2d32
35 Nf918f38c358348ba9ba8263b86a8a8be
36 Nfd00b7baef794975a0a68bb30e15a3ff
37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052331672
38 https://doi.org/10.1038/nmat4498
39 schema:sdDatePublished 2022-12-01T06:33
40 schema:sdLicense https://scigraph.springernature.com/explorer/license/
41 schema:sdPublisher N696fa8773efa4abb805353cada90f1bb
42 schema:url https://doi.org/10.1038/nmat4498
43 sgo:license sg:explorer/license/
44 sgo:sdDataset articles
45 rdf:type schema:ScholarlyArticle
46 N5ff124d5b51d499f9bc8a29a1ccd2d32 schema:name dimensions_id
47 schema:value pub.1052331672
48 rdf:type schema:PropertyValue
49 N696fa8773efa4abb805353cada90f1bb schema:name Springer Nature - SN SciGraph project
50 rdf:type schema:Organization
51 N799bc92bb26242d89cc6f9a5995e5bbb schema:volumeNumber 15
52 rdf:type schema:PublicationVolume
53 Ne4ae60d8b2304b65b895965487dff7fc rdf:first sg:person.011044314465.07
54 rdf:rest Nf054fb7e113e42978b7756fb1d39aedf
55 Nf054fb7e113e42978b7756fb1d39aedf rdf:first sg:person.0750635777.41
56 rdf:rest rdf:nil
57 Nf365eeda932941eda18e8d68e73b3c00 schema:issueNumber 1
58 rdf:type schema:PublicationIssue
59 Nf918f38c358348ba9ba8263b86a8a8be schema:name doi
60 schema:value 10.1038/nmat4498
61 rdf:type schema:PropertyValue
62 Nfd00b7baef794975a0a68bb30e15a3ff schema:name pubmed_id
63 schema:value 26595120
64 rdf:type schema:PropertyValue
65 sg:journal.1031408 schema:issn 1476-1122
66 1476-4660
67 schema:name Nature Materials
68 schema:publisher Springer Nature
69 rdf:type schema:Periodical
70 sg:person.011044314465.07 schema:affiliation grid-institutes:grid.11135.37
71 schema:familyName Lin
72 schema:givenName Li
73 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011044314465.07
74 rdf:type schema:Person
75 sg:person.0750635777.41 schema:affiliation grid-institutes:grid.11135.37
76 schema:familyName Liu
77 schema:givenName Zhongfan
78 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0750635777.41
79 rdf:type schema:Person
80 sg:pub.10.1038/2211044a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047948563
81 https://doi.org/10.1038/2211044a0
82 rdf:type schema:CreativeWork
83 sg:pub.10.1038/nature10680 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046488380
84 https://doi.org/10.1038/nature10680
85 rdf:type schema:CreativeWork
86 sg:pub.10.1038/nature11458 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024564800
87 https://doi.org/10.1038/nature11458
88 rdf:type schema:CreativeWork
89 sg:pub.10.1038/nmat4477 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007813785
90 https://doi.org/10.1038/nmat4477
91 rdf:type schema:CreativeWork
92 grid-institutes:grid.11135.37 schema:alternateName Li Lin and Zhongfan Liu are at the Center for Nanochemistry, Beijing Science and Engineering Center for Nanocarbons, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, P. R. China
93 schema:name Li Lin and Zhongfan Liu are at the Center for Nanochemistry, Beijing Science and Engineering Center for Nanocarbons, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, P. R. China
94 rdf:type schema:Organization
 




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


...