Size-selected growth of transparent well-aligned ZnO nanowire arrays View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-12

AUTHORS

Junsheng Yu, Zhaolin Yuan, Shijiao Han, Zhu Ma

ABSTRACT

This paper reports the effect of precursor concentration, growth temperature, and growth time on the size and density of ZnO nanowire arrays (ZNAs). The well-aligned ZNAs were grown on indium tin oxide substrate using a facile chemical bath deposition method. The results showed that the ZnO nanowires could be tailored to the desired sizes with a simple variation of the growth parameters. Optical transmission spectra revealed a sufficient transparency of the ZNAs, qualifying them for photovoltaic and other optoelectronic applications. An inverted hybrid solar cell was fabricated using the ZNAs as the electron collecting layer, and the solar cell exhibited a power conversion efficiency of 0.91%. More... »

PAGES

517

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1556-276x-7-517

DOI

http://dx.doi.org/10.1186/1556-276x-7-517

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1048487982

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22999184


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": "University of Electronic Science and Technology of China", 
          "id": "https://www.grid.ac/institutes/grid.54549.39", 
          "name": [
            "State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Information, University of Electronic Science and Technology of China (UESTC), 610054, Chengdu, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yu", 
        "givenName": "Junsheng", 
        "id": "sg:person.01105020072.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01105020072.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Shaanxi University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.412500.2", 
          "name": [
            "School of Physics and Electronic Information Engineering, Shaanxi University of Technology, 723000, Hanzhong, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yuan", 
        "givenName": "Zhaolin", 
        "id": "sg:person.07476671443.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07476671443.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Electronic Science and Technology of China", 
          "id": "https://www.grid.ac/institutes/grid.54549.39", 
          "name": [
            "State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Information, University of Electronic Science and Technology of China (UESTC), 610054, Chengdu, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Han", 
        "givenName": "Shijiao", 
        "id": "sg:person.012641343023.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012641343023.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Electronic Science and Technology of China", 
          "id": "https://www.grid.ac/institutes/grid.54549.39", 
          "name": [
            "State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Information, University of Electronic Science and Technology of China (UESTC), 610054, Chengdu, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ma", 
        "givenName": "Zhu", 
        "id": "sg:person.015732057033.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015732057033.75"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nature06601", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001081505", 
          "https://doi.org/10.1038/nature06601"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03353614", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001206030", 
          "https://doi.org/10.1007/bf03353614"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00339-011-6756-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003109868", 
          "https://doi.org/10.1007/s00339-011-6756-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl070430o", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004308851"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl070430o", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004308851"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.201003221", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006082521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.201003221", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006082521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11671-009-9425-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009911094", 
          "https://doi.org/10.1007/s11671-009-9425-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11671-009-9425-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009911094", 
          "https://doi.org/10.1007/s11671-009-9425-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl050788p", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010380228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl050788p", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010380228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0957-4484/18/35/355606", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015339605"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.solmat.2010.09.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017338161"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1124005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023785848"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/anie.200351461", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025363493"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl0712567", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026079941"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl0712567", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026079941"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10854-011-0353-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031173309", 
          "https://doi.org/10.1007/s10854-011-0353-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03353618", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032309762", 
          "https://doi.org/10.1007/bf03353618"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl035102c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032994055"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl035102c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032994055"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03353856", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036612673", 
          "https://doi.org/10.1007/bf03353856"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat1387", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040787360", 
          "https://doi.org/10.1038/nmat1387"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat1387", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040787360", 
          "https://doi.org/10.1038/nmat1387"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.200305729", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043228620"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.solmat.2009.09.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046537977"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1369-7021(06)71652-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046839390"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0957-4484/21/49/495502", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048256997"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0957-4484/21/49/495502", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048256997"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp0571372", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056064301"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp0571372", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056064301"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp071418n", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056071152"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp071418n", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056071152"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp0757816", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056073842"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp0757816", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056073842"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1836873", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057825867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1861510", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057828946"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.2906370", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057880915"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.3492838", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057961787"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012-12", 
    "datePublishedReg": "2012-12-01", 
    "description": " This paper reports the effect of precursor concentration, growth temperature, and growth time on the size and density of ZnO nanowire arrays (ZNAs). The well-aligned ZNAs were grown on indium tin oxide substrate using a facile chemical bath deposition method. The results showed that the ZnO nanowires could be tailored to the desired sizes with a simple variation of the growth parameters. Optical transmission spectra revealed a sufficient transparency of the ZNAs, qualifying them for photovoltaic and other optoelectronic applications. An inverted hybrid solar cell was fabricated using the ZNAs as the electron collecting layer, and the solar cell exhibited a power conversion efficiency of 0.91%.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1556-276x-7-517", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6982988", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5003380", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1037280", 
        "issn": [
          "1931-7573", 
          "1556-276X"
        ], 
        "name": "Nanoscale Research Letters", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "7"
      }
    ], 
    "name": "Size-selected growth of transparent well-aligned ZnO nanowire arrays", 
    "pagination": "517", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e6fce82081f4510a1fc251acea86617f2ed3a32ec86d705d915f5585dbd34adc"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "22999184"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101279750"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1556-276x-7-517"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1048487982"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1556-276x-7-517", 
      "https://app.dimensions.ai/details/publication/pub.1048487982"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T22:33", 
    "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_8690_00000516.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1556-276X-7-517"
  }
]
 

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.10.1186/1556-276x-7-517'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1556-276x-7-517'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1556-276x-7-517'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1556-276x-7-517'


 

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

189 TRIPLES      21 PREDICATES      57 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1556-276x-7-517 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author Naec3936efe1a4fec99ce7efb34375f32
4 schema:citation sg:pub.10.1007/bf03353614
5 sg:pub.10.1007/bf03353618
6 sg:pub.10.1007/bf03353856
7 sg:pub.10.1007/s00339-011-6756-7
8 sg:pub.10.1007/s10854-011-0353-6
9 sg:pub.10.1007/s11671-009-9425-4
10 sg:pub.10.1038/nature06601
11 sg:pub.10.1038/nmat1387
12 https://doi.org/10.1002/adma.200305729
13 https://doi.org/10.1002/adma.201003221
14 https://doi.org/10.1002/anie.200351461
15 https://doi.org/10.1016/j.solmat.2009.09.012
16 https://doi.org/10.1016/j.solmat.2010.09.037
17 https://doi.org/10.1016/s1369-7021(06)71652-2
18 https://doi.org/10.1021/jp0571372
19 https://doi.org/10.1021/jp071418n
20 https://doi.org/10.1021/jp0757816
21 https://doi.org/10.1021/nl035102c
22 https://doi.org/10.1021/nl050788p
23 https://doi.org/10.1021/nl070430o
24 https://doi.org/10.1021/nl0712567
25 https://doi.org/10.1063/1.1836873
26 https://doi.org/10.1063/1.1861510
27 https://doi.org/10.1063/1.2906370
28 https://doi.org/10.1063/1.3492838
29 https://doi.org/10.1088/0957-4484/18/35/355606
30 https://doi.org/10.1088/0957-4484/21/49/495502
31 https://doi.org/10.1126/science.1124005
32 schema:datePublished 2012-12
33 schema:datePublishedReg 2012-12-01
34 schema:description This paper reports the effect of precursor concentration, growth temperature, and growth time on the size and density of ZnO nanowire arrays (ZNAs). The well-aligned ZNAs were grown on indium tin oxide substrate using a facile chemical bath deposition method. The results showed that the ZnO nanowires could be tailored to the desired sizes with a simple variation of the growth parameters. Optical transmission spectra revealed a sufficient transparency of the ZNAs, qualifying them for photovoltaic and other optoelectronic applications. An inverted hybrid solar cell was fabricated using the ZNAs as the electron collecting layer, and the solar cell exhibited a power conversion efficiency of 0.91%.
35 schema:genre research_article
36 schema:inLanguage en
37 schema:isAccessibleForFree true
38 schema:isPartOf N78981cfec8e846d49535b5ae0237ccfe
39 Nd7f30fd0d3ae4583bd721d1dd6684e67
40 sg:journal.1037280
41 schema:name Size-selected growth of transparent well-aligned ZnO nanowire arrays
42 schema:pagination 517
43 schema:productId N385e258921854c748da45f5ee9db7580
44 Nadeeb76cf86e468db47395f129132514
45 Nb5e6d7e7b9a6432b96d6570eaf63d7e5
46 Nef00348739db462186c1028bdfe51234
47 Nfd5396046f96482199250037b8ca53dd
48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048487982
49 https://doi.org/10.1186/1556-276x-7-517
50 schema:sdDatePublished 2019-04-10T22:33
51 schema:sdLicense https://scigraph.springernature.com/explorer/license/
52 schema:sdPublisher N454e43dced5641bfaca1835475aa72ea
53 schema:url http://link.springer.com/10.1186%2F1556-276X-7-517
54 sgo:license sg:explorer/license/
55 sgo:sdDataset articles
56 rdf:type schema:ScholarlyArticle
57 N385e258921854c748da45f5ee9db7580 schema:name doi
58 schema:value 10.1186/1556-276x-7-517
59 rdf:type schema:PropertyValue
60 N454e43dced5641bfaca1835475aa72ea schema:name Springer Nature - SN SciGraph project
61 rdf:type schema:Organization
62 N78981cfec8e846d49535b5ae0237ccfe schema:volumeNumber 7
63 rdf:type schema:PublicationVolume
64 N8fc13bdfd30b41cba59b24857348e1b5 rdf:first sg:person.015732057033.75
65 rdf:rest rdf:nil
66 Na6d4217a66544cc8a8645fadb9742773 rdf:first sg:person.07476671443.24
67 rdf:rest Ncee85b765ded4090874c2265ea750156
68 Nadeeb76cf86e468db47395f129132514 schema:name readcube_id
69 schema:value e6fce82081f4510a1fc251acea86617f2ed3a32ec86d705d915f5585dbd34adc
70 rdf:type schema:PropertyValue
71 Naec3936efe1a4fec99ce7efb34375f32 rdf:first sg:person.01105020072.21
72 rdf:rest Na6d4217a66544cc8a8645fadb9742773
73 Nb5e6d7e7b9a6432b96d6570eaf63d7e5 schema:name pubmed_id
74 schema:value 22999184
75 rdf:type schema:PropertyValue
76 Ncee85b765ded4090874c2265ea750156 rdf:first sg:person.012641343023.16
77 rdf:rest N8fc13bdfd30b41cba59b24857348e1b5
78 Nd7f30fd0d3ae4583bd721d1dd6684e67 schema:issueNumber 1
79 rdf:type schema:PublicationIssue
80 Nef00348739db462186c1028bdfe51234 schema:name nlm_unique_id
81 schema:value 101279750
82 rdf:type schema:PropertyValue
83 Nfd5396046f96482199250037b8ca53dd schema:name dimensions_id
84 schema:value pub.1048487982
85 rdf:type schema:PropertyValue
86 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
87 schema:name Engineering
88 rdf:type schema:DefinedTerm
89 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
90 schema:name Materials Engineering
91 rdf:type schema:DefinedTerm
92 sg:grant.5003380 http://pending.schema.org/fundedItem sg:pub.10.1186/1556-276x-7-517
93 rdf:type schema:MonetaryGrant
94 sg:grant.6982988 http://pending.schema.org/fundedItem sg:pub.10.1186/1556-276x-7-517
95 rdf:type schema:MonetaryGrant
96 sg:journal.1037280 schema:issn 1556-276X
97 1931-7573
98 schema:name Nanoscale Research Letters
99 rdf:type schema:Periodical
100 sg:person.01105020072.21 schema:affiliation https://www.grid.ac/institutes/grid.54549.39
101 schema:familyName Yu
102 schema:givenName Junsheng
103 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01105020072.21
104 rdf:type schema:Person
105 sg:person.012641343023.16 schema:affiliation https://www.grid.ac/institutes/grid.54549.39
106 schema:familyName Han
107 schema:givenName Shijiao
108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012641343023.16
109 rdf:type schema:Person
110 sg:person.015732057033.75 schema:affiliation https://www.grid.ac/institutes/grid.54549.39
111 schema:familyName Ma
112 schema:givenName Zhu
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015732057033.75
114 rdf:type schema:Person
115 sg:person.07476671443.24 schema:affiliation https://www.grid.ac/institutes/grid.412500.2
116 schema:familyName Yuan
117 schema:givenName Zhaolin
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07476671443.24
119 rdf:type schema:Person
120 sg:pub.10.1007/bf03353614 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001206030
121 https://doi.org/10.1007/bf03353614
122 rdf:type schema:CreativeWork
123 sg:pub.10.1007/bf03353618 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032309762
124 https://doi.org/10.1007/bf03353618
125 rdf:type schema:CreativeWork
126 sg:pub.10.1007/bf03353856 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036612673
127 https://doi.org/10.1007/bf03353856
128 rdf:type schema:CreativeWork
129 sg:pub.10.1007/s00339-011-6756-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003109868
130 https://doi.org/10.1007/s00339-011-6756-7
131 rdf:type schema:CreativeWork
132 sg:pub.10.1007/s10854-011-0353-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031173309
133 https://doi.org/10.1007/s10854-011-0353-6
134 rdf:type schema:CreativeWork
135 sg:pub.10.1007/s11671-009-9425-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009911094
136 https://doi.org/10.1007/s11671-009-9425-4
137 rdf:type schema:CreativeWork
138 sg:pub.10.1038/nature06601 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001081505
139 https://doi.org/10.1038/nature06601
140 rdf:type schema:CreativeWork
141 sg:pub.10.1038/nmat1387 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040787360
142 https://doi.org/10.1038/nmat1387
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1002/adma.200305729 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043228620
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1002/adma.201003221 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006082521
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1002/anie.200351461 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025363493
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/j.solmat.2009.09.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046537977
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/j.solmat.2010.09.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017338161
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/s1369-7021(06)71652-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046839390
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1021/jp0571372 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056064301
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1021/jp071418n schema:sameAs https://app.dimensions.ai/details/publication/pub.1056071152
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1021/jp0757816 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056073842
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1021/nl035102c schema:sameAs https://app.dimensions.ai/details/publication/pub.1032994055
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1021/nl050788p schema:sameAs https://app.dimensions.ai/details/publication/pub.1010380228
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1021/nl070430o schema:sameAs https://app.dimensions.ai/details/publication/pub.1004308851
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1021/nl0712567 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026079941
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1063/1.1836873 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057825867
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1063/1.1861510 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057828946
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1063/1.2906370 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057880915
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1063/1.3492838 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057961787
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1088/0957-4484/18/35/355606 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015339605
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1088/0957-4484/21/49/495502 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048256997
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1126/science.1124005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023785848
183 rdf:type schema:CreativeWork
184 https://www.grid.ac/institutes/grid.412500.2 schema:alternateName Shaanxi University of Technology
185 schema:name School of Physics and Electronic Information Engineering, Shaanxi University of Technology, 723000, Hanzhong, People’s Republic of China
186 rdf:type schema:Organization
187 https://www.grid.ac/institutes/grid.54549.39 schema:alternateName University of Electronic Science and Technology of China
188 schema:name State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Information, University of Electronic Science and Technology of China (UESTC), 610054, Chengdu, People’s Republic of China
189 rdf:type schema:Organization
 




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


...