Substrate engineering of graphene reactivity: towards high-performance graphene-based catalysts View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Na Guo, Kah Meng Yam, Chun Zhang

ABSTRACT

Graphene-based solid-state catalysis is an emerging direction in research on graphene, which opens new opportunities in graphene applications and thus has attracted enormous interests recently. A central issue in graphene-based catalysis is the lack of an effective yet practical way to activate the chemically inert graphene, which is largely due to the difficulties in the direct treatment of graphene (such as doping transition metal elements and introducing particular type of vacancies). Here we report a way to overcome these difficulties by promoting the reactivity and catalytic activity of graphene via substrate engineering. With thorough first-principles investigations, we demonstrate that when introduce a defect, either a substitutional impurity atom (e.g. Au, Cu, Ag, Zn) or a single vacancy, in the underlying Ru (0001) substrate, the reactivity of the supported graphene can be greatly enhanced, resulting in the chemical adsorption of O2 molecules on graphene. The origin of the O2 chemical adsorption is found to be the impurity- or vacancy-induced significant charge transfer from the graphene–Ru (0001) contact region to the 2π* orbital of the O2 molecule. We then further show that the charge transfer also leads to high catalytic activity of graphene for chemical reaction of CO oxidation. According to our calculations, the catalyzed CO oxidation takes place in Eley-Rideal (ER) mechanism with low reaction barriers (around 0.5 eV), suggesting that the substrate engineering is an effective way to turn the supported graphene into an excellent catalyst that has potential for large-scale industrial applications. Engineering the underlying substrate with defects promotes reactivity and catalytic activity of graphene. A team led by Chun Zhang at the Centre for Advanced 2D Materials of the National University of Singapore performed first-principles calculations revealing that, when defects are introduced in the lattice of a Ru(0001) substrate, the reactivity of the supported graphene is enhanced. As a consequence, O2 molecules can be readily adsorbed onto graphene at the location corresponding to the underlying defect. Such facilitated chemical adsorption can be explained in the light of impurity-induced charge transfer from the graphene/Ru(0001) interface to the O2 molecule orbitals. Furthermore, the charge transfer results in high catalytic activity in graphene towards CO oxidation. These results may promote the design of high-performance graphene catalysts supported on a defect-engineered substrate. More... »

PAGES

1

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41699-017-0046-y

DOI

http://dx.doi.org/10.1038/s41699-017-0046-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1100320663


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/2008/0306", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Chemistry (incl. Structural)", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "National University of Singapore", 
          "id": "https://www.grid.ac/institutes/grid.4280.e", 
          "name": [
            "Department of Physics and Centre for Advanced 2D Materials, National University of Singapore, 117551, Singapore, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guo", 
        "givenName": "Na", 
        "id": "sg:person.01113537071.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113537071.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National University of Singapore", 
          "id": "https://www.grid.ac/institutes/grid.4280.e", 
          "name": [
            "Department of Physics and Centre for Advanced 2D Materials, National University of Singapore, 117551, Singapore, Singapore", 
            "Department of Chemistry, National University of Singapore, 117542, Singapore, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yam", 
        "givenName": "Kah Meng", 
        "id": "sg:person.016230425761.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016230425761.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National University of Singapore", 
          "id": "https://www.grid.ac/institutes/grid.4280.e", 
          "name": [
            "Department of Physics and Centre for Advanced 2D Materials, National University of Singapore, 117551, Singapore, Singapore", 
            "Department of Chemistry, National University of Singapore, 117542, Singapore, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Chun", 
        "id": "sg:person.01072225733.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072225733.21"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1039/c3nr06539a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001252627"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.200800761", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018575907"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep12058", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024861578", 
          "https://doi.org/10.1038/srep12058"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0957-4484/22/38/385502", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030312603"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat2166", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036191349", 
          "https://doi.org/10.1038/nmat2166"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c5cs00094g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038121067"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jcc.20495", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044734228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/revmodphys.81.109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050408744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/revmodphys.81.109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050408744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja411651e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055855816"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp105368j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056077894"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp105368j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056077894"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp2082962", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056085631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp2082962", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056085631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp3053218", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056090067"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp311741h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056092861"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp908829m", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056118042"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp908829m", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056118042"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1329672", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057695436"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.3427246", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057950095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.46.6671", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060564150"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.46.6671", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060564150"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.47.558", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060566310"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.47.558", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060566310"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.50.17953", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060573414"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.50.17953", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060573414"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.54.11169", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060581262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.54.11169", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060581262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.76.075429", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060622123"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.76.075429", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060622123"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.88.245401", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060642647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.88.245401", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060642647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2174/1385272820666160624075801", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069173741"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "Graphene-based solid-state catalysis is an emerging direction in research on graphene, which opens new opportunities in graphene applications and thus has attracted enormous interests recently. A central issue in graphene-based catalysis is the lack of an effective yet practical way to activate the chemically inert graphene, which is largely due to the difficulties in the direct treatment of graphene (such as doping transition metal elements and introducing particular type of vacancies). Here we report a way to overcome these difficulties by promoting the reactivity and catalytic activity of graphene via substrate engineering. With thorough first-principles investigations, we demonstrate that when introduce a defect, either a substitutional impurity atom (e.g. Au, Cu, Ag, Zn) or a single vacancy, in the underlying Ru (0001) substrate, the reactivity of the supported graphene can be greatly enhanced, resulting in the chemical adsorption of O2 molecules on graphene. The origin of the O2 chemical adsorption is found to be the impurity- or vacancy-induced significant charge transfer from the graphene\u2013Ru (0001) contact region to the 2\u03c0* orbital of the O2 molecule. We then further show that the charge transfer also leads to high catalytic activity of graphene for chemical reaction of CO oxidation. According to our calculations, the catalyzed CO oxidation takes place in Eley-Rideal (ER) mechanism with low reaction barriers (around 0.5 eV), suggesting that the substrate engineering is an effective way to turn the supported graphene into an excellent catalyst that has potential for large-scale industrial applications. Engineering the underlying substrate with defects promotes reactivity and catalytic activity of graphene. A team led by Chun Zhang at the Centre for Advanced 2D Materials of the National University of Singapore performed first-principles calculations revealing that, when defects are introduced in the lattice of a Ru(0001) substrate, the reactivity of the supported graphene is enhanced. As a consequence, O2 molecules can be readily adsorbed onto graphene at the location corresponding to the underlying defect. Such facilitated chemical adsorption can be explained in the light of impurity-induced charge transfer from the graphene/Ru(0001) interface to the O2 molecule orbitals. Furthermore, the charge transfer results in high catalytic activity in graphene towards CO oxidation. These results may promote the design of high-performance graphene catalysts supported on a defect-engineered substrate.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41699-017-0046-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1290452", 
        "issn": [
          "2397-7132"
        ], 
        "name": "npj 2D Materials and Applications", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "2"
      }
    ], 
    "name": "Substrate engineering of graphene reactivity: towards high-performance graphene-based catalysts", 
    "pagination": "1", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "85d655ca2004fc0562d974f6400ef07fe4bbe06ef8e098d25f88eb4713e98867"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41699-017-0046-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1100320663"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41699-017-0046-y", 
      "https://app.dimensions.ai/details/publication/pub.1100320663"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T16:38", 
    "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_8669_00000493.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41699-017-0046-y"
  }
]
 

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/s41699-017-0046-y'

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/s41699-017-0046-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41699-017-0046-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41699-017-0046-y'


 

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

146 TRIPLES      21 PREDICATES      50 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41699-017-0046-y schema:about anzsrc-for:03
2 anzsrc-for:0306
3 schema:author N191c7f23477c449d85bcbdc31e23baf9
4 schema:citation sg:pub.10.1038/nmat2166
5 sg:pub.10.1038/srep12058
6 https://doi.org/10.1002/adma.200800761
7 https://doi.org/10.1002/jcc.20495
8 https://doi.org/10.1021/ja411651e
9 https://doi.org/10.1021/jp105368j
10 https://doi.org/10.1021/jp2082962
11 https://doi.org/10.1021/jp3053218
12 https://doi.org/10.1021/jp311741h
13 https://doi.org/10.1021/jp908829m
14 https://doi.org/10.1039/c3nr06539a
15 https://doi.org/10.1039/c5cs00094g
16 https://doi.org/10.1063/1.1329672
17 https://doi.org/10.1063/1.3427246
18 https://doi.org/10.1088/0957-4484/22/38/385502
19 https://doi.org/10.1103/physrevb.46.6671
20 https://doi.org/10.1103/physrevb.47.558
21 https://doi.org/10.1103/physrevb.50.17953
22 https://doi.org/10.1103/physrevb.54.11169
23 https://doi.org/10.1103/physrevb.76.075429
24 https://doi.org/10.1103/physrevb.88.245401
25 https://doi.org/10.1103/revmodphys.81.109
26 https://doi.org/10.2174/1385272820666160624075801
27 schema:datePublished 2018-12
28 schema:datePublishedReg 2018-12-01
29 schema:description Graphene-based solid-state catalysis is an emerging direction in research on graphene, which opens new opportunities in graphene applications and thus has attracted enormous interests recently. A central issue in graphene-based catalysis is the lack of an effective yet practical way to activate the chemically inert graphene, which is largely due to the difficulties in the direct treatment of graphene (such as doping transition metal elements and introducing particular type of vacancies). Here we report a way to overcome these difficulties by promoting the reactivity and catalytic activity of graphene via substrate engineering. With thorough first-principles investigations, we demonstrate that when introduce a defect, either a substitutional impurity atom (e.g. Au, Cu, Ag, Zn) or a single vacancy, in the underlying Ru (0001) substrate, the reactivity of the supported graphene can be greatly enhanced, resulting in the chemical adsorption of O2 molecules on graphene. The origin of the O2 chemical adsorption is found to be the impurity- or vacancy-induced significant charge transfer from the graphene–Ru (0001) contact region to the 2π* orbital of the O2 molecule. We then further show that the charge transfer also leads to high catalytic activity of graphene for chemical reaction of CO oxidation. According to our calculations, the catalyzed CO oxidation takes place in Eley-Rideal (ER) mechanism with low reaction barriers (around 0.5 eV), suggesting that the substrate engineering is an effective way to turn the supported graphene into an excellent catalyst that has potential for large-scale industrial applications. Engineering the underlying substrate with defects promotes reactivity and catalytic activity of graphene. A team led by Chun Zhang at the Centre for Advanced 2D Materials of the National University of Singapore performed first-principles calculations revealing that, when defects are introduced in the lattice of a Ru(0001) substrate, the reactivity of the supported graphene is enhanced. As a consequence, O2 molecules can be readily adsorbed onto graphene at the location corresponding to the underlying defect. Such facilitated chemical adsorption can be explained in the light of impurity-induced charge transfer from the graphene/Ru(0001) interface to the O2 molecule orbitals. Furthermore, the charge transfer results in high catalytic activity in graphene towards CO oxidation. These results may promote the design of high-performance graphene catalysts supported on a defect-engineered substrate.
30 schema:genre research_article
31 schema:inLanguage en
32 schema:isAccessibleForFree true
33 schema:isPartOf N9508f68477f6402dbc10577a7a72f5d5
34 Ne7f3d96a49b542779b0735e54b80393b
35 sg:journal.1290452
36 schema:name Substrate engineering of graphene reactivity: towards high-performance graphene-based catalysts
37 schema:pagination 1
38 schema:productId N4e49a4207a67420bba9fd4a694f3e587
39 N959c75dbf4964cf0922a1eb25fcc2e08
40 Ne1fd9954628f43bda46ef536e22bd453
41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100320663
42 https://doi.org/10.1038/s41699-017-0046-y
43 schema:sdDatePublished 2019-04-10T16:38
44 schema:sdLicense https://scigraph.springernature.com/explorer/license/
45 schema:sdPublisher Nca7f383ad6e04601a43ab02e3b802bf6
46 schema:url https://www.nature.com/articles/s41699-017-0046-y
47 sgo:license sg:explorer/license/
48 sgo:sdDataset articles
49 rdf:type schema:ScholarlyArticle
50 N191c7f23477c449d85bcbdc31e23baf9 rdf:first sg:person.01113537071.63
51 rdf:rest N734aca95f2a54ac99cbebd5d3437204e
52 N4e49a4207a67420bba9fd4a694f3e587 schema:name doi
53 schema:value 10.1038/s41699-017-0046-y
54 rdf:type schema:PropertyValue
55 N523271092d3a41c3b4dd83e74afaca4a rdf:first sg:person.01072225733.21
56 rdf:rest rdf:nil
57 N734aca95f2a54ac99cbebd5d3437204e rdf:first sg:person.016230425761.10
58 rdf:rest N523271092d3a41c3b4dd83e74afaca4a
59 N9508f68477f6402dbc10577a7a72f5d5 schema:issueNumber 1
60 rdf:type schema:PublicationIssue
61 N959c75dbf4964cf0922a1eb25fcc2e08 schema:name readcube_id
62 schema:value 85d655ca2004fc0562d974f6400ef07fe4bbe06ef8e098d25f88eb4713e98867
63 rdf:type schema:PropertyValue
64 Nca7f383ad6e04601a43ab02e3b802bf6 schema:name Springer Nature - SN SciGraph project
65 rdf:type schema:Organization
66 Ne1fd9954628f43bda46ef536e22bd453 schema:name dimensions_id
67 schema:value pub.1100320663
68 rdf:type schema:PropertyValue
69 Ne7f3d96a49b542779b0735e54b80393b schema:volumeNumber 2
70 rdf:type schema:PublicationVolume
71 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
72 schema:name Chemical Sciences
73 rdf:type schema:DefinedTerm
74 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
75 schema:name Physical Chemistry (incl. Structural)
76 rdf:type schema:DefinedTerm
77 sg:journal.1290452 schema:issn 2397-7132
78 schema:name npj 2D Materials and Applications
79 rdf:type schema:Periodical
80 sg:person.01072225733.21 schema:affiliation https://www.grid.ac/institutes/grid.4280.e
81 schema:familyName Zhang
82 schema:givenName Chun
83 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072225733.21
84 rdf:type schema:Person
85 sg:person.01113537071.63 schema:affiliation https://www.grid.ac/institutes/grid.4280.e
86 schema:familyName Guo
87 schema:givenName Na
88 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113537071.63
89 rdf:type schema:Person
90 sg:person.016230425761.10 schema:affiliation https://www.grid.ac/institutes/grid.4280.e
91 schema:familyName Yam
92 schema:givenName Kah Meng
93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016230425761.10
94 rdf:type schema:Person
95 sg:pub.10.1038/nmat2166 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036191349
96 https://doi.org/10.1038/nmat2166
97 rdf:type schema:CreativeWork
98 sg:pub.10.1038/srep12058 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024861578
99 https://doi.org/10.1038/srep12058
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1002/adma.200800761 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018575907
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1002/jcc.20495 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044734228
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1021/ja411651e schema:sameAs https://app.dimensions.ai/details/publication/pub.1055855816
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1021/jp105368j schema:sameAs https://app.dimensions.ai/details/publication/pub.1056077894
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1021/jp2082962 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056085631
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1021/jp3053218 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056090067
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1021/jp311741h schema:sameAs https://app.dimensions.ai/details/publication/pub.1056092861
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1021/jp908829m schema:sameAs https://app.dimensions.ai/details/publication/pub.1056118042
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1039/c3nr06539a schema:sameAs https://app.dimensions.ai/details/publication/pub.1001252627
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1039/c5cs00094g schema:sameAs https://app.dimensions.ai/details/publication/pub.1038121067
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1063/1.1329672 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057695436
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1063/1.3427246 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057950095
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1088/0957-4484/22/38/385502 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030312603
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1103/physrevb.46.6671 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060564150
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1103/physrevb.47.558 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060566310
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1103/physrevb.50.17953 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060573414
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1103/physrevb.54.11169 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060581262
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1103/physrevb.76.075429 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060622123
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1103/physrevb.88.245401 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060642647
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1103/revmodphys.81.109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050408744
140 rdf:type schema:CreativeWork
141 https://doi.org/10.2174/1385272820666160624075801 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069173741
142 rdf:type schema:CreativeWork
143 https://www.grid.ac/institutes/grid.4280.e schema:alternateName National University of Singapore
144 schema:name Department of Chemistry, National University of Singapore, 117542, Singapore, Singapore
145 Department of Physics and Centre for Advanced 2D Materials, National University of Singapore, 117551, Singapore, Singapore
146 rdf:type schema:Organization
 




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


...