Dft Study on the Co Catalytic Oxidation Reaction on Ptcu-Embedded Graphene View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-12

AUTHORS

Y. C. Tong, Q. Y. Wang, Z. Li, L. B. Yu

ABSTRACT

PtCu-embedded graphene (PtCu/graphene) is one of the high-efficiency catalysts in catalytic oxidation of CO. In this paper, CO catalytic oxidation on PtCu/graphene is studied by density functional theory. According to the calculation, the coadsorption configuration is more stable than the configuration of O2 or CO adsorption on PtCu/graphene. Thus, the reaction mechanism of catalytic CO oxidation is the LH mechanism, which proceeds via two steps with barrier energies of 0.21 eV and 0.52 eV, respectively. Compared with pure Pt/graphene and Cu/graphene, Pt mixed in Cu can lower the barrier energy, improving the catalytic activity. Therefore, the research of PtCu/graphene can provide a certain reference value and guidance for the study of another similar catalytic CO oxidation. More... »

PAGES

1776-1783

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s0022476618080036

DOI

http://dx.doi.org/10.1134/s0022476618080036

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111224337


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": "Hexi University", 
          "id": "https://www.grid.ac/institutes/grid.412133.6", 
          "name": [
            "College of Chemistry and Chemical Engineering, Hexi University, Key Laboratory of Hexi Corridor Resources Utilization of Gansu, Zhangye, P. R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tong", 
        "givenName": "Y. C.", 
        "id": "sg:person.012142626236.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012142626236.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hexi University", 
          "id": "https://www.grid.ac/institutes/grid.412133.6", 
          "name": [
            "College of Chemistry and Chemical Engineering, Hexi University, Key Laboratory of Hexi Corridor Resources Utilization of Gansu, Zhangye, P. R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Q. Y.", 
        "id": "sg:person.014122115516.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014122115516.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hexi University", 
          "id": "https://www.grid.ac/institutes/grid.412133.6", 
          "name": [
            "College of Chemistry and Chemical Engineering, Hexi University, Key Laboratory of Hexi Corridor Resources Utilization of Gansu, Zhangye, P. R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Z.", 
        "id": "sg:person.011735153117.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011735153117.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hexi University", 
          "id": "https://www.grid.ac/institutes/grid.412133.6", 
          "name": [
            "College of Chemistry and Chemical Engineering, Hexi University, Key Laboratory of Hexi Corridor Resources Utilization of Gansu, Zhangye, P. R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yu", 
        "givenName": "L. B.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "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/10.1002/jcc.20782", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001101239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-0728(02)00667-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001892353"
        ], 
        "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/10.1016/s0013-4686(02)00338-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003079947"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.comptc.2013.02.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005921928"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl801384y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006730829"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl801384y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006730829"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apsusc.2009.05.070", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008005194"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apsusc.2014.12.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012067758"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c5tc02071a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013376332"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcat.2013.09.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013993470"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.458452", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014331737"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c2cp41441d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015934200"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1102896", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019008412"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja030392k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020612674"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja030392k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020612674"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/smll.201403715", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021778425"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.micromeso.2016.05.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022931135"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00339-015-9093-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023430477", 
          "https://doi.org/10.1007/s00339-015-9093-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcat.2005.04.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026742843"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.electacta.2011.04.099", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026906904"
        ], 
        "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": "https://doi.org/10.1080/00268977000101561", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031262511"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1261747", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036204453"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jpowsour.2010.02.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044759966"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja983363w", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055870869"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp071944e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056071483"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp071944e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056071483"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp108978c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056079710"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp108978c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056079710"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp3035192", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056089199"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp3061009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056090437"
        ], 
        "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/10.1021/jp911535v", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056119414"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp911535v", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056119414"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl072409t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056217514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl072409t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056217514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1316015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057693743"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.102.126807", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060755066"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.102.126807", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060755066"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.77.3865", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060814179"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.77.3865", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060814179"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.6023/a13080848", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073591534"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "PtCu-embedded graphene (PtCu/graphene) is one of the high-efficiency catalysts in catalytic oxidation of CO. In this paper, CO catalytic oxidation on PtCu/graphene is studied by density functional theory. According to the calculation, the coadsorption configuration is more stable than the configuration of O2 or CO adsorption on PtCu/graphene. Thus, the reaction mechanism of catalytic CO oxidation is the LH mechanism, which proceeds via two steps with barrier energies of 0.21 eV and 0.52 eV, respectively. Compared with pure Pt/graphene and Cu/graphene, Pt mixed in Cu can lower the barrier energy, improving the catalytic activity. Therefore, the research of PtCu/graphene can provide a certain reference value and guidance for the study of another similar catalytic CO oxidation.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1134/s0022476618080036", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1135923", 
        "issn": [
          "0022-4766", 
          "2542-0976"
        ], 
        "name": "Journal of Structural Chemistry", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "8", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "59"
      }
    ], 
    "name": "Dft Study on the Co Catalytic Oxidation Reaction on Ptcu-Embedded Graphene", 
    "pagination": "1776-1783", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "6ccc62e435084fa5e6f4d09ecaf104db05b34a3434a8727152fe2f60bbbb348a"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s0022476618080036"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111224337"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s0022476618080036", 
      "https://app.dimensions.ai/details/publication/pub.1111224337"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:36", 
    "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/v90/0000000314_0000000314/records_55852_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1134%2FS0022476618080036"
  }
]
 

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.10.1134/s0022476618080036'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1134/s0022476618080036'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s0022476618080036'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s0022476618080036'


 

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

191 TRIPLES      21 PREDICATES      63 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s0022476618080036 schema:about anzsrc-for:03
2 anzsrc-for:0306
3 schema:author N90bc293c378d493b9a10f824f1963546
4 schema:citation sg:pub.10.1007/s00339-015-9093-4
5 sg:pub.10.1038/nature04233
6 https://doi.org/10.1002/jcc.20782
7 https://doi.org/10.1002/smll.201403715
8 https://doi.org/10.1016/j.apsusc.2009.05.070
9 https://doi.org/10.1016/j.apsusc.2014.12.024
10 https://doi.org/10.1016/j.comptc.2013.02.004
11 https://doi.org/10.1016/j.electacta.2011.04.099
12 https://doi.org/10.1016/j.jcat.2005.04.037
13 https://doi.org/10.1016/j.jcat.2013.09.001
14 https://doi.org/10.1016/j.jpowsour.2010.02.024
15 https://doi.org/10.1016/j.micromeso.2016.05.018
16 https://doi.org/10.1016/s0013-4686(02)00338-9
17 https://doi.org/10.1016/s0022-0728(02)00667-8
18 https://doi.org/10.1021/ja030392k
19 https://doi.org/10.1021/ja983363w
20 https://doi.org/10.1021/jp071944e
21 https://doi.org/10.1021/jp108978c
22 https://doi.org/10.1021/jp3035192
23 https://doi.org/10.1021/jp3061009
24 https://doi.org/10.1021/jp908829m
25 https://doi.org/10.1021/jp911535v
26 https://doi.org/10.1021/nl072409t
27 https://doi.org/10.1021/nl0731872
28 https://doi.org/10.1021/nl801384y
29 https://doi.org/10.1039/c2cp41441d
30 https://doi.org/10.1039/c5tc02071a
31 https://doi.org/10.1063/1.1316015
32 https://doi.org/10.1063/1.458452
33 https://doi.org/10.1080/00268977000101561
34 https://doi.org/10.1088/0957-4484/22/38/385502
35 https://doi.org/10.1103/physrevlett.102.126807
36 https://doi.org/10.1103/physrevlett.77.3865
37 https://doi.org/10.1126/science.1102896
38 https://doi.org/10.1126/science.1261747
39 https://doi.org/10.6023/a13080848
40 schema:datePublished 2018-12
41 schema:datePublishedReg 2018-12-01
42 schema:description PtCu-embedded graphene (PtCu/graphene) is one of the high-efficiency catalysts in catalytic oxidation of CO. In this paper, CO catalytic oxidation on PtCu/graphene is studied by density functional theory. According to the calculation, the coadsorption configuration is more stable than the configuration of O2 or CO adsorption on PtCu/graphene. Thus, the reaction mechanism of catalytic CO oxidation is the LH mechanism, which proceeds via two steps with barrier energies of 0.21 eV and 0.52 eV, respectively. Compared with pure Pt/graphene and Cu/graphene, Pt mixed in Cu can lower the barrier energy, improving the catalytic activity. Therefore, the research of PtCu/graphene can provide a certain reference value and guidance for the study of another similar catalytic CO oxidation.
43 schema:genre research_article
44 schema:inLanguage en
45 schema:isAccessibleForFree false
46 schema:isPartOf N08dc099c460b45fda88ee22a828eca0d
47 Nf131eef1fbc64a0b8fcda73089261edb
48 sg:journal.1135923
49 schema:name Dft Study on the Co Catalytic Oxidation Reaction on Ptcu-Embedded Graphene
50 schema:pagination 1776-1783
51 schema:productId N4a4c4b713c034bd2927a2918ff52fcbc
52 N518631555fab439a904f6ad61472e6ae
53 N65310f8b8c2a492082d20a906d1cc43a
54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111224337
55 https://doi.org/10.1134/s0022476618080036
56 schema:sdDatePublished 2019-04-11T08:36
57 schema:sdLicense https://scigraph.springernature.com/explorer/license/
58 schema:sdPublisher N0f95ad1be35d4923b111a847dcd3b20f
59 schema:url https://link.springer.com/10.1134%2FS0022476618080036
60 sgo:license sg:explorer/license/
61 sgo:sdDataset articles
62 rdf:type schema:ScholarlyArticle
63 N08dc099c460b45fda88ee22a828eca0d schema:issueNumber 8
64 rdf:type schema:PublicationIssue
65 N0f95ad1be35d4923b111a847dcd3b20f schema:name Springer Nature - SN SciGraph project
66 rdf:type schema:Organization
67 N4a4c4b713c034bd2927a2918ff52fcbc schema:name doi
68 schema:value 10.1134/s0022476618080036
69 rdf:type schema:PropertyValue
70 N518631555fab439a904f6ad61472e6ae schema:name dimensions_id
71 schema:value pub.1111224337
72 rdf:type schema:PropertyValue
73 N65310f8b8c2a492082d20a906d1cc43a schema:name readcube_id
74 schema:value 6ccc62e435084fa5e6f4d09ecaf104db05b34a3434a8727152fe2f60bbbb348a
75 rdf:type schema:PropertyValue
76 N7ea9fdbabefe408b9ac67f64b07f8079 schema:affiliation https://www.grid.ac/institutes/grid.412133.6
77 schema:familyName Yu
78 schema:givenName L. B.
79 rdf:type schema:Person
80 N90bc293c378d493b9a10f824f1963546 rdf:first sg:person.012142626236.00
81 rdf:rest Ne0db6557ed1843dbaf6737a92b6dc50b
82 N9d1eb299ec244f95a12efa61de0f0d0b rdf:first sg:person.011735153117.60
83 rdf:rest Na0c6cb185b3c4a75ac0e8b4411822285
84 Na0c6cb185b3c4a75ac0e8b4411822285 rdf:first N7ea9fdbabefe408b9ac67f64b07f8079
85 rdf:rest rdf:nil
86 Ne0db6557ed1843dbaf6737a92b6dc50b rdf:first sg:person.014122115516.77
87 rdf:rest N9d1eb299ec244f95a12efa61de0f0d0b
88 Nf131eef1fbc64a0b8fcda73089261edb schema:volumeNumber 59
89 rdf:type schema:PublicationVolume
90 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
91 schema:name Chemical Sciences
92 rdf:type schema:DefinedTerm
93 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
94 schema:name Physical Chemistry (incl. Structural)
95 rdf:type schema:DefinedTerm
96 sg:journal.1135923 schema:issn 0022-4766
97 2542-0976
98 schema:name Journal of Structural Chemistry
99 rdf:type schema:Periodical
100 sg:person.011735153117.60 schema:affiliation https://www.grid.ac/institutes/grid.412133.6
101 schema:familyName Li
102 schema:givenName Z.
103 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011735153117.60
104 rdf:type schema:Person
105 sg:person.012142626236.00 schema:affiliation https://www.grid.ac/institutes/grid.412133.6
106 schema:familyName Tong
107 schema:givenName Y. C.
108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012142626236.00
109 rdf:type schema:Person
110 sg:person.014122115516.77 schema:affiliation https://www.grid.ac/institutes/grid.412133.6
111 schema:familyName Wang
112 schema:givenName Q. Y.
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014122115516.77
114 rdf:type schema:Person
115 sg:pub.10.1007/s00339-015-9093-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023430477
116 https://doi.org/10.1007/s00339-015-9093-4
117 rdf:type schema:CreativeWork
118 sg:pub.10.1038/nature04233 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001061831
119 https://doi.org/10.1038/nature04233
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1002/jcc.20782 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001101239
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1002/smll.201403715 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021778425
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1016/j.apsusc.2009.05.070 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008005194
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1016/j.apsusc.2014.12.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012067758
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1016/j.comptc.2013.02.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005921928
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/j.electacta.2011.04.099 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026906904
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/j.jcat.2005.04.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026742843
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1016/j.jcat.2013.09.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013993470
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/j.jpowsour.2010.02.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044759966
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/j.micromeso.2016.05.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022931135
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1016/s0013-4686(02)00338-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003079947
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1016/s0022-0728(02)00667-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001892353
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1021/ja030392k schema:sameAs https://app.dimensions.ai/details/publication/pub.1020612674
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1021/ja983363w schema:sameAs https://app.dimensions.ai/details/publication/pub.1055870869
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1021/jp071944e schema:sameAs https://app.dimensions.ai/details/publication/pub.1056071483
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1021/jp108978c schema:sameAs https://app.dimensions.ai/details/publication/pub.1056079710
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1021/jp3035192 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056089199
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1021/jp3061009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056090437
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1021/jp908829m schema:sameAs https://app.dimensions.ai/details/publication/pub.1056118042
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1021/jp911535v schema:sameAs https://app.dimensions.ai/details/publication/pub.1056119414
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1021/nl072409t schema:sameAs https://app.dimensions.ai/details/publication/pub.1056217514
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1021/nl0731872 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002634830
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1021/nl801384y schema:sameAs https://app.dimensions.ai/details/publication/pub.1006730829
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1039/c2cp41441d schema:sameAs https://app.dimensions.ai/details/publication/pub.1015934200
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1039/c5tc02071a schema:sameAs https://app.dimensions.ai/details/publication/pub.1013376332
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1063/1.1316015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057693743
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1063/1.458452 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014331737
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1080/00268977000101561 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031262511
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1088/0957-4484/22/38/385502 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030312603
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1103/physrevlett.102.126807 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060755066
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1103/physrevlett.77.3865 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060814179
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1126/science.1102896 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019008412
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1126/science.1261747 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036204453
186 rdf:type schema:CreativeWork
187 https://doi.org/10.6023/a13080848 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073591534
188 rdf:type schema:CreativeWork
189 https://www.grid.ac/institutes/grid.412133.6 schema:alternateName Hexi University
190 schema:name College of Chemistry and Chemical Engineering, Hexi University, Key Laboratory of Hexi Corridor Resources Utilization of Gansu, Zhangye, P. R. China
191 rdf:type schema:Organization
 




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


...