Cu-doped ZnO nanorod arrays: the effects of copper precursor and concentration View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-12

AUTHORS

Musbah Babikier, Dunbo Wang, Jinzhong Wang, Qian Li, Jianming Sun, Yuan Yan, Qingjiang Yu, Shujie Jiao

ABSTRACT

Cu-doped ZnO nanorods have been grown at 90°C for 90 min onto a quartz substrate pre-coated with a ZnO seed layer using a hydrothermal method. The influence of copper (Cu) precursor and concentration on the structural, morphological, and optical properties of ZnO nanorods was investigated. X-ray diffraction analysis revealed that the nanorods grown are highly crystalline with a hexagonal wurtzite crystal structure grown along the c-axis. The lattice strain is found to be compressive for all samples, where a minimum compressive strain of -0.114% was obtained when 1 at.% Cu was added from Cu(NO3)2. Scanning electron microscopy was used to investigate morphologies and the diameters of the grown nanorods. The morphological properties of the Cu-doped ZnO nanorods were influenced significantly by the presence of Cu impurities. Near-band edge (NBE) and a broad blue-green emission bands at around 378 and 545 nm, respectively, were observed in the photoluminescence spectra for all samples. The transmittance characteristics showed a slight increase in the visible range, where the total transmittance increased from approximately 80% for the nanorods doped with Cu(CH3COO)2 to approximately 90% for the nanorods that were doped with Cu(NO3)2. More... »

PAGES

199

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1556-276x-9-199

DOI

http://dx.doi.org/10.1186/1556-276x-9-199

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1023250843

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24855460


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": "Harbin Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.19373.3f", 
          "name": [
            "Department of Opto-Electric Information Science, School of Materials Science and Engineering, Harbin Institute of Technology, 150001, Harbin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Babikier", 
        "givenName": "Musbah", 
        "id": "sg:person.07457102777.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07457102777.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harbin Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.19373.3f", 
          "name": [
            "Department of Opto-Electric Information Science, School of Materials Science and Engineering, Harbin Institute of Technology, 150001, Harbin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Dunbo", 
        "id": "sg:person.0617337772.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617337772.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harbin Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.19373.3f", 
          "name": [
            "Department of Opto-Electric Information Science, School of Materials Science and Engineering, Harbin Institute of Technology, 150001, Harbin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Jinzhong", 
        "id": "sg:person.0665453172.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0665453172.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harbin Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.19373.3f", 
          "name": [
            "Department of Opto-Electric Information Science, School of Materials Science and Engineering, Harbin Institute of Technology, 150001, Harbin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Qian", 
        "id": "sg:person.0733566372.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0733566372.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harbin Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.19373.3f", 
          "name": [
            "Department of Opto-Electric Information Science, School of Materials Science and Engineering, Harbin Institute of Technology, 150001, Harbin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sun", 
        "givenName": "Jianming", 
        "id": "sg:person.01001701572.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01001701572.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harbin Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.19373.3f", 
          "name": [
            "Department of Opto-Electric Information Science, School of Materials Science and Engineering, Harbin Institute of Technology, 150001, Harbin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yan", 
        "givenName": "Yuan", 
        "id": "sg:person.01240423074.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240423074.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harbin Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.19373.3f", 
          "name": [
            "Department of Opto-Electric Information Science, School of Materials Science and Engineering, Harbin Institute of Technology, 150001, Harbin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yu", 
        "givenName": "Qingjiang", 
        "id": "sg:person.01116130172.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116130172.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harbin Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.19373.3f", 
          "name": [
            "Department of Opto-Electric Information Science, School of Materials Science and Engineering, Harbin Institute of Technology, 150001, Harbin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jiao", 
        "givenName": "Shujie", 
        "id": "sg:person.01164243372.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01164243372.27"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.jpcs.2009.12.088", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001148401"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apsusc.2007.02.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003992057"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0040-6090(89)90918-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004222210"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0040-6090(89)90918-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004222210"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.optmat.2012.06.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008580355"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0953-8984/16/25/r01", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010195069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.surfcoat.2007.05.051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010294062"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00339-009-5086-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012735533", 
          "https://doi.org/10.1007/s00339-009-5086-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00339-009-5086-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012735533", 
          "https://doi.org/10.1007/s00339-009-5086-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1556-276x-8-158", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015026435", 
          "https://doi.org/10.1186/1556-276x-8-158"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl052239p", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020444576"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl052239p", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020444576"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1166/jnn.2011.4356", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021702914"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sna.2009.12.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023458905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sna.2012.09.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024114570"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ceramint.2008.06.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027126202"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.electacta.2011.02.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030187456"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2011/269692", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030387225"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.200803605", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033692146"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.200803605", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033692146"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0268-1242/23/9/095004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034233490"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.electacta.2008.10.051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037392991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10854-012-0911-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044039031", 
          "https://doi.org/10.1007/s10854-012-0911-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adfm.201100258", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045279302"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apsusc.2013.10.146", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045973778"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0378-4363(83)90297-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046956347"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0378-4363(83)90297-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046956347"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jallcom.2010.12.157", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051190834"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0957-4484/15/7/026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052257706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp070135s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056070370"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp070135s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056070370"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp710837h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056105719"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp710837h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056105719"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.108867", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057656434"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.2217163", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057848129"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.2378404", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057853488"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.2988131", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057890223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.3021142", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057893133"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.362349", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057986894"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.78.214429", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060626777"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.78.214429", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060626777"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.23.579", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060772957"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.23.579", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060772957"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/s179360471100152x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063024146"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1143/jjap.30.703", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063047466"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1143/jjap.42.l435", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063071333"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-12", 
    "datePublishedReg": "2014-12-01", 
    "description": "Cu-doped ZnO nanorods have been grown at 90\u00b0C for 90\u00a0min onto a quartz substrate pre-coated with a ZnO seed layer using a hydrothermal method. The influence of copper (Cu) precursor and concentration on the structural, morphological, and optical properties of ZnO nanorods was investigated. X-ray diffraction analysis revealed that the nanorods grown are highly crystalline with a hexagonal wurtzite crystal structure grown along the c-axis. The lattice strain is found to be compressive for all samples, where a minimum compressive strain of -0.114% was obtained when 1\u00a0at.% Cu was added from Cu(NO3)2. Scanning electron microscopy was used to investigate morphologies and the diameters of the grown nanorods. The morphological properties of the Cu-doped ZnO nanorods were influenced significantly by the presence of Cu impurities. Near-band edge (NBE) and a broad blue-green emission bands at around 378 and 545\u00a0nm, respectively, were observed in the photoluminescence spectra for all samples. The transmittance characteristics showed a slight increase in the visible range, where the total transmittance increased from approximately 80% for the nanorods doped with Cu(CH3COO)2 to approximately 90% for the nanorods that were doped with Cu(NO3)2. ", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1556-276x-9-199", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1037280", 
        "issn": [
          "1931-7573", 
          "1556-276X"
        ], 
        "name": "Nanoscale Research Letters", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "name": "Cu-doped ZnO nanorod arrays: the effects of copper precursor and concentration", 
    "pagination": "199", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "6ec5a527a81d3fc489dd218aaeaff89844ed950fcbf86a7dcf9f8800d8c906d6"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24855460"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101279750"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1556-276x-9-199"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1023250843"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1556-276x-9-199", 
      "https://app.dimensions.ai/details/publication/pub.1023250843"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T00:16", 
    "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_8695_00000512.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1556-276X-9-199"
  }
]
 

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-9-199'

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-9-199'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1556-276x-9-199'

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-9-199'


 

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

232 TRIPLES      21 PREDICATES      66 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1556-276x-9-199 schema:about anzsrc-for:03
2 anzsrc-for:0306
3 schema:author N99c20eebe42d41c197cae1c26440d4b1
4 schema:citation sg:pub.10.1007/s00339-009-5086-5
5 sg:pub.10.1007/s10854-012-0911-6
6 sg:pub.10.1186/1556-276x-8-158
7 https://doi.org/10.1002/adfm.201100258
8 https://doi.org/10.1002/adma.200803605
9 https://doi.org/10.1016/0040-6090(89)90918-8
10 https://doi.org/10.1016/0378-4363(83)90297-8
11 https://doi.org/10.1016/j.apsusc.2007.02.013
12 https://doi.org/10.1016/j.apsusc.2013.10.146
13 https://doi.org/10.1016/j.ceramint.2008.06.012
14 https://doi.org/10.1016/j.electacta.2008.10.051
15 https://doi.org/10.1016/j.electacta.2011.02.004
16 https://doi.org/10.1016/j.jallcom.2010.12.157
17 https://doi.org/10.1016/j.jpcs.2009.12.088
18 https://doi.org/10.1016/j.optmat.2012.06.004
19 https://doi.org/10.1016/j.sna.2009.12.030
20 https://doi.org/10.1016/j.sna.2012.09.006
21 https://doi.org/10.1016/j.surfcoat.2007.05.051
22 https://doi.org/10.1021/jp070135s
23 https://doi.org/10.1021/jp710837h
24 https://doi.org/10.1021/nl052239p
25 https://doi.org/10.1063/1.108867
26 https://doi.org/10.1063/1.2217163
27 https://doi.org/10.1063/1.2378404
28 https://doi.org/10.1063/1.2988131
29 https://doi.org/10.1063/1.3021142
30 https://doi.org/10.1063/1.362349
31 https://doi.org/10.1088/0268-1242/23/9/095004
32 https://doi.org/10.1088/0953-8984/16/25/r01
33 https://doi.org/10.1088/0957-4484/15/7/026
34 https://doi.org/10.1103/physrevb.78.214429
35 https://doi.org/10.1103/physrevlett.23.579
36 https://doi.org/10.1142/s179360471100152x
37 https://doi.org/10.1143/jjap.30.703
38 https://doi.org/10.1143/jjap.42.l435
39 https://doi.org/10.1155/2011/269692
40 https://doi.org/10.1166/jnn.2011.4356
41 schema:datePublished 2014-12
42 schema:datePublishedReg 2014-12-01
43 schema:description Cu-doped ZnO nanorods have been grown at 90°C for 90 min onto a quartz substrate pre-coated with a ZnO seed layer using a hydrothermal method. The influence of copper (Cu) precursor and concentration on the structural, morphological, and optical properties of ZnO nanorods was investigated. X-ray diffraction analysis revealed that the nanorods grown are highly crystalline with a hexagonal wurtzite crystal structure grown along the c-axis. The lattice strain is found to be compressive for all samples, where a minimum compressive strain of -0.114% was obtained when 1 at.% Cu was added from Cu(NO3)2. Scanning electron microscopy was used to investigate morphologies and the diameters of the grown nanorods. The morphological properties of the Cu-doped ZnO nanorods were influenced significantly by the presence of Cu impurities. Near-band edge (NBE) and a broad blue-green emission bands at around 378 and 545 nm, respectively, were observed in the photoluminescence spectra for all samples. The transmittance characteristics showed a slight increase in the visible range, where the total transmittance increased from approximately 80% for the nanorods doped with Cu(CH3COO)2 to approximately 90% for the nanorods that were doped with Cu(NO3)2.
44 schema:genre research_article
45 schema:inLanguage en
46 schema:isAccessibleForFree true
47 schema:isPartOf N545831326d924fe8978b2d638b447cd0
48 Nd79033367c18427a87ee9c70071ccd28
49 sg:journal.1037280
50 schema:name Cu-doped ZnO nanorod arrays: the effects of copper precursor and concentration
51 schema:pagination 199
52 schema:productId N81ff7987b95e4b1d8c6c8c27b1e33a94
53 N95e0de667e44473bbb4a638c0b51ed00
54 Nd6c3ebf5579d4079a9042a72ee638971
55 Ne4842927ccd344f8b207e0e43d47de86
56 Nec60b67666204b72b5cdc5b3903249a5
57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023250843
58 https://doi.org/10.1186/1556-276x-9-199
59 schema:sdDatePublished 2019-04-11T00:16
60 schema:sdLicense https://scigraph.springernature.com/explorer/license/
61 schema:sdPublisher N9560cbe3862e47f7a98652cbd4b4b2b7
62 schema:url http://link.springer.com/10.1186%2F1556-276X-9-199
63 sgo:license sg:explorer/license/
64 sgo:sdDataset articles
65 rdf:type schema:ScholarlyArticle
66 N37cc780792744ab8be2cec03a1484a28 rdf:first sg:person.01164243372.27
67 rdf:rest rdf:nil
68 N38295133494f45089b94c7e9eba6201b rdf:first sg:person.0665453172.88
69 rdf:rest N5461f6e45cad4fe88603eec9d47f0be8
70 N545831326d924fe8978b2d638b447cd0 schema:issueNumber 1
71 rdf:type schema:PublicationIssue
72 N5461f6e45cad4fe88603eec9d47f0be8 rdf:first sg:person.0733566372.44
73 rdf:rest N8b26b9f28e604966b35bbe2b5fba80c9
74 N71bb18ab88c54b38ae5aa170cf1dcb38 rdf:first sg:person.0617337772.25
75 rdf:rest N38295133494f45089b94c7e9eba6201b
76 N81ff7987b95e4b1d8c6c8c27b1e33a94 schema:name dimensions_id
77 schema:value pub.1023250843
78 rdf:type schema:PropertyValue
79 N8b26b9f28e604966b35bbe2b5fba80c9 rdf:first sg:person.01001701572.90
80 rdf:rest Ndae5ae773f094204a3c2a9e594b58114
81 N9560cbe3862e47f7a98652cbd4b4b2b7 schema:name Springer Nature - SN SciGraph project
82 rdf:type schema:Organization
83 N95e0de667e44473bbb4a638c0b51ed00 schema:name doi
84 schema:value 10.1186/1556-276x-9-199
85 rdf:type schema:PropertyValue
86 N99c20eebe42d41c197cae1c26440d4b1 rdf:first sg:person.07457102777.33
87 rdf:rest N71bb18ab88c54b38ae5aa170cf1dcb38
88 Nd6c3ebf5579d4079a9042a72ee638971 schema:name nlm_unique_id
89 schema:value 101279750
90 rdf:type schema:PropertyValue
91 Nd79033367c18427a87ee9c70071ccd28 schema:volumeNumber 9
92 rdf:type schema:PublicationVolume
93 Ndae5ae773f094204a3c2a9e594b58114 rdf:first sg:person.01240423074.77
94 rdf:rest Ndc650fcb8a8d497bbd568a0c0afd224b
95 Ndc650fcb8a8d497bbd568a0c0afd224b rdf:first sg:person.01116130172.16
96 rdf:rest N37cc780792744ab8be2cec03a1484a28
97 Ne4842927ccd344f8b207e0e43d47de86 schema:name readcube_id
98 schema:value 6ec5a527a81d3fc489dd218aaeaff89844ed950fcbf86a7dcf9f8800d8c906d6
99 rdf:type schema:PropertyValue
100 Nec60b67666204b72b5cdc5b3903249a5 schema:name pubmed_id
101 schema:value 24855460
102 rdf:type schema:PropertyValue
103 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
104 schema:name Chemical Sciences
105 rdf:type schema:DefinedTerm
106 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
107 schema:name Physical Chemistry (incl. Structural)
108 rdf:type schema:DefinedTerm
109 sg:journal.1037280 schema:issn 1556-276X
110 1931-7573
111 schema:name Nanoscale Research Letters
112 rdf:type schema:Periodical
113 sg:person.01001701572.90 schema:affiliation https://www.grid.ac/institutes/grid.19373.3f
114 schema:familyName Sun
115 schema:givenName Jianming
116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01001701572.90
117 rdf:type schema:Person
118 sg:person.01116130172.16 schema:affiliation https://www.grid.ac/institutes/grid.19373.3f
119 schema:familyName Yu
120 schema:givenName Qingjiang
121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116130172.16
122 rdf:type schema:Person
123 sg:person.01164243372.27 schema:affiliation https://www.grid.ac/institutes/grid.19373.3f
124 schema:familyName Jiao
125 schema:givenName Shujie
126 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01164243372.27
127 rdf:type schema:Person
128 sg:person.01240423074.77 schema:affiliation https://www.grid.ac/institutes/grid.19373.3f
129 schema:familyName Yan
130 schema:givenName Yuan
131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240423074.77
132 rdf:type schema:Person
133 sg:person.0617337772.25 schema:affiliation https://www.grid.ac/institutes/grid.19373.3f
134 schema:familyName Wang
135 schema:givenName Dunbo
136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617337772.25
137 rdf:type schema:Person
138 sg:person.0665453172.88 schema:affiliation https://www.grid.ac/institutes/grid.19373.3f
139 schema:familyName Wang
140 schema:givenName Jinzhong
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0665453172.88
142 rdf:type schema:Person
143 sg:person.0733566372.44 schema:affiliation https://www.grid.ac/institutes/grid.19373.3f
144 schema:familyName Li
145 schema:givenName Qian
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0733566372.44
147 rdf:type schema:Person
148 sg:person.07457102777.33 schema:affiliation https://www.grid.ac/institutes/grid.19373.3f
149 schema:familyName Babikier
150 schema:givenName Musbah
151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07457102777.33
152 rdf:type schema:Person
153 sg:pub.10.1007/s00339-009-5086-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012735533
154 https://doi.org/10.1007/s00339-009-5086-5
155 rdf:type schema:CreativeWork
156 sg:pub.10.1007/s10854-012-0911-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044039031
157 https://doi.org/10.1007/s10854-012-0911-6
158 rdf:type schema:CreativeWork
159 sg:pub.10.1186/1556-276x-8-158 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015026435
160 https://doi.org/10.1186/1556-276x-8-158
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1002/adfm.201100258 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045279302
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1002/adma.200803605 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033692146
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/0040-6090(89)90918-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004222210
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/0378-4363(83)90297-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046956347
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/j.apsusc.2007.02.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003992057
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/j.apsusc.2013.10.146 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045973778
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/j.ceramint.2008.06.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027126202
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/j.electacta.2008.10.051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037392991
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/j.electacta.2011.02.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030187456
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/j.jallcom.2010.12.157 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051190834
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/j.jpcs.2009.12.088 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001148401
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/j.optmat.2012.06.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008580355
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1016/j.sna.2009.12.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023458905
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1016/j.sna.2012.09.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024114570
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1016/j.surfcoat.2007.05.051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010294062
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1021/jp070135s schema:sameAs https://app.dimensions.ai/details/publication/pub.1056070370
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1021/jp710837h schema:sameAs https://app.dimensions.ai/details/publication/pub.1056105719
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1021/nl052239p schema:sameAs https://app.dimensions.ai/details/publication/pub.1020444576
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1063/1.108867 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057656434
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1063/1.2217163 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057848129
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1063/1.2378404 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057853488
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1063/1.2988131 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057890223
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1063/1.3021142 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057893133
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1063/1.362349 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057986894
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1088/0268-1242/23/9/095004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034233490
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1088/0953-8984/16/25/r01 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010195069
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1088/0957-4484/15/7/026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052257706
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1103/physrevb.78.214429 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060626777
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1103/physrevlett.23.579 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060772957
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1142/s179360471100152x schema:sameAs https://app.dimensions.ai/details/publication/pub.1063024146
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1143/jjap.30.703 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063047466
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1143/jjap.42.l435 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063071333
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1155/2011/269692 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030387225
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1166/jnn.2011.4356 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021702914
229 rdf:type schema:CreativeWork
230 https://www.grid.ac/institutes/grid.19373.3f schema:alternateName Harbin Institute of Technology
231 schema:name Department of Opto-Electric Information Science, School of Materials Science and Engineering, Harbin Institute of Technology, 150001, Harbin, China
232 rdf:type schema:Organization
 




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


...