Compositional, morphological, structural, microstructural, optical, and magnetic properties of Fe, Co, and Ni doped ZnS nanoparticles View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-04

AUTHORS

B. Poornaprakash, U. Chalapathi, S. V. Prabhakar Vattikuti

ABSTRACT

We present the compositional, morphological, structural, microstructural, optical, and magnetic properties of undoped, Fe, Co, and Ni doped ZnS diluted magnetic semiconductor nanoparticles (NPs) synthesized by chemical refluxing technique at 80 °C using Polyvinylpyrrolidone (PVP) as a stabilizer. EDS spectra confirmed the presence of Zn, Fe, Co, Ni, and S in the samples with expected stoichiometry. XRD and Raman studies revealed that all the samples exhibited cubic structure without any impurity phases. The average diameter of the particles confirmed by HRTEM studies was in the range 5–8 nm. From DRS, the estimated band-gap values were 3.92, 3.70, 3.98, and 3.76 eV for undoped, Ni, Fe, and Co doped ZnS samples, respectively. Photoluminescence studies indicated that the undoped and doped samples exhibited broad and asymmetric PL peaks covering a wide visible range. Room temperature magnetisation studies revealed that the undoped, Fe, Co, and Ni doped samples exhibited diamagnetic, paramagnetic, and ferromagnetic behaviors, respectively. The use of these ions with magnetic properties in systems doped by an innovative method and thus creating a quantum confinement effect. More... »

PAGES

275

Journal

TITLE

Applied Physics A

ISSUE

4

VOLUME

123

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00339-017-0865-x

DOI

http://dx.doi.org/10.1007/s00339-017-0865-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1084020859


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": "Yeungnam University", 
          "id": "https://www.grid.ac/institutes/grid.413028.c", 
          "name": [
            "Department of Electronic Engineering, Yeungnam University, 38541, Gyeongsan, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Poornaprakash", 
        "givenName": "B.", 
        "id": "sg:person.016661441011.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016661441011.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yeungnam University", 
          "id": "https://www.grid.ac/institutes/grid.413028.c", 
          "name": [
            "Department of Electronic Engineering, Yeungnam University, 38541, Gyeongsan, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chalapathi", 
        "givenName": "U.", 
        "id": "sg:person.014003156421.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014003156421.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yeungnam University", 
          "id": "https://www.grid.ac/institutes/grid.413028.c", 
          "name": [
            "School of Mechanical Engineering, Yeungnam University, 38541, Gyeongsan, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vattikuti", 
        "givenName": "S. V. Prabhakar", 
        "id": "sg:person.011435043237.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011435043237.91"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1039/b923898k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004065783"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b923898k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004065783"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ceramint.2013.10.056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004327030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apsusc.2011.09.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006561798"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/revmodphys.76.323", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007326605"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/revmodphys.76.323", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007326605"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.physleta.2009.02.032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010768938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jallcom.2012.12.081", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015422360"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jssc.2009.07.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016997557"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jallcom.2012.12.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017098816"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmmm.2011.05.057", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017378967"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.physe.2015.05.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019459827"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003390100889", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020710224", 
          "https://doi.org/10.1007/s003390100889"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mseb.2008.03.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020955690"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ceramint.2016.02.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024508483"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apsusc.2011.03.114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026568972"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1004709601889", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027664176", 
          "https://doi.org/10.1023/a:1004709601889"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00387010.2012.744318", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028074168"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pmatsci.2010.10.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028872868"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-3697(00)00287-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033556583"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/16420", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033723558", 
          "https://doi.org/10.1038/16420"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/16420", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033723558", 
          "https://doi.org/10.1038/16420"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00339-011-6563-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040776345", 
          "https://doi.org/10.1007/s00339-011-6563-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13204-012-0167-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042599983", 
          "https://doi.org/10.1007/s13204-012-0167-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cplett.2007.07.040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044684580"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.matlet.2015.10.119", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046592930"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jallcom.2013.11.079", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047399348"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.saa.2012.07.125", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051124259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.actamat.2003.11.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053173679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cg301173k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055396252"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1669350", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057745854"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.2425028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057856154"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.332815", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057937264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrev.152.376", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060434216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrev.152.376", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060434216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.72.416", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060809294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.72.416", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060809294"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-04", 
    "datePublishedReg": "2017-04-01", 
    "description": "We present the compositional, morphological, structural, microstructural, optical, and magnetic properties of undoped, Fe, Co, and Ni doped ZnS diluted magnetic semiconductor nanoparticles (NPs) synthesized by chemical refluxing technique at 80 \u00b0C using Polyvinylpyrrolidone (PVP) as a stabilizer. EDS spectra confirmed the presence of Zn, Fe, Co, Ni, and S in the samples with expected stoichiometry. XRD and Raman studies revealed that all the samples exhibited cubic structure without any impurity phases. The average diameter of the particles confirmed by HRTEM studies was in the range 5\u20138 nm. From DRS, the estimated band-gap values were 3.92, 3.70, 3.98, and 3.76 eV for undoped, Ni, Fe, and Co doped ZnS samples, respectively. Photoluminescence studies indicated that the undoped and doped samples exhibited broad and asymmetric PL peaks covering a wide visible range. Room temperature magnetisation studies revealed that the undoped, Fe, Co, and Ni doped samples exhibited diamagnetic, paramagnetic, and ferromagnetic behaviors, respectively. The use of these ions with magnetic properties in systems doped by an innovative method and thus creating a quantum confinement effect.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00339-017-0865-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1022207", 
        "issn": [
          "0947-8396", 
          "1432-0630"
        ], 
        "name": "Applied Physics A", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "123"
      }
    ], 
    "name": "Compositional, morphological, structural, microstructural, optical, and magnetic properties of Fe, Co, and Ni doped ZnS nanoparticles", 
    "pagination": "275", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d5a254a5c386bcc84e3e4592a1089e6f058056fd70e442796ff9a47a4bfb31f9"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00339-017-0865-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1084020859"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00339-017-0865-x", 
      "https://app.dimensions.ai/details/publication/pub.1084020859"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:16", 
    "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/v90/0000000348_0000000348/records_54301_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00339-017-0865-x"
  }
]
 

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.10.1007/s00339-017-0865-x'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00339-017-0865-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00339-017-0865-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00339-017-0865-x'


 

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

177 TRIPLES      21 PREDICATES      59 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00339-017-0865-x schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author Nca84f29125414c43aa404be7d95352bc
4 schema:citation sg:pub.10.1007/s00339-011-6563-1
5 sg:pub.10.1007/s003390100889
6 sg:pub.10.1007/s13204-012-0167-8
7 sg:pub.10.1023/a:1004709601889
8 sg:pub.10.1038/16420
9 https://doi.org/10.1016/j.actamat.2003.11.030
10 https://doi.org/10.1016/j.apsusc.2011.03.114
11 https://doi.org/10.1016/j.apsusc.2011.09.001
12 https://doi.org/10.1016/j.ceramint.2013.10.056
13 https://doi.org/10.1016/j.ceramint.2016.02.009
14 https://doi.org/10.1016/j.cplett.2007.07.040
15 https://doi.org/10.1016/j.jallcom.2012.12.001
16 https://doi.org/10.1016/j.jallcom.2012.12.081
17 https://doi.org/10.1016/j.jallcom.2013.11.079
18 https://doi.org/10.1016/j.jmmm.2011.05.057
19 https://doi.org/10.1016/j.jssc.2009.07.015
20 https://doi.org/10.1016/j.matlet.2015.10.119
21 https://doi.org/10.1016/j.mseb.2008.03.009
22 https://doi.org/10.1016/j.physe.2015.05.017
23 https://doi.org/10.1016/j.physleta.2009.02.032
24 https://doi.org/10.1016/j.pmatsci.2010.10.001
25 https://doi.org/10.1016/j.saa.2012.07.125
26 https://doi.org/10.1016/s0022-3697(00)00287-0
27 https://doi.org/10.1021/cg301173k
28 https://doi.org/10.1039/b923898k
29 https://doi.org/10.1063/1.1669350
30 https://doi.org/10.1063/1.2425028
31 https://doi.org/10.1063/1.332815
32 https://doi.org/10.1080/00387010.2012.744318
33 https://doi.org/10.1103/physrev.152.376
34 https://doi.org/10.1103/physrevlett.72.416
35 https://doi.org/10.1103/revmodphys.76.323
36 schema:datePublished 2017-04
37 schema:datePublishedReg 2017-04-01
38 schema:description We present the compositional, morphological, structural, microstructural, optical, and magnetic properties of undoped, Fe, Co, and Ni doped ZnS diluted magnetic semiconductor nanoparticles (NPs) synthesized by chemical refluxing technique at 80 °C using Polyvinylpyrrolidone (PVP) as a stabilizer. EDS spectra confirmed the presence of Zn, Fe, Co, Ni, and S in the samples with expected stoichiometry. XRD and Raman studies revealed that all the samples exhibited cubic structure without any impurity phases. The average diameter of the particles confirmed by HRTEM studies was in the range 5–8 nm. From DRS, the estimated band-gap values were 3.92, 3.70, 3.98, and 3.76 eV for undoped, Ni, Fe, and Co doped ZnS samples, respectively. Photoluminescence studies indicated that the undoped and doped samples exhibited broad and asymmetric PL peaks covering a wide visible range. Room temperature magnetisation studies revealed that the undoped, Fe, Co, and Ni doped samples exhibited diamagnetic, paramagnetic, and ferromagnetic behaviors, respectively. The use of these ions with magnetic properties in systems doped by an innovative method and thus creating a quantum confinement effect.
39 schema:genre research_article
40 schema:inLanguage en
41 schema:isAccessibleForFree false
42 schema:isPartOf N30454a871f024c719545357638086f0d
43 N5861fbe76eb94cccb5d4d8201e9a1f1f
44 sg:journal.1022207
45 schema:name Compositional, morphological, structural, microstructural, optical, and magnetic properties of Fe, Co, and Ni doped ZnS nanoparticles
46 schema:pagination 275
47 schema:productId N920535c7b2654ccf809bbaf7deb0752f
48 N9913e763e4394797af871ff60771076b
49 Nf322b559fe1f4a2b973be2ca1113ed16
50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084020859
51 https://doi.org/10.1007/s00339-017-0865-x
52 schema:sdDatePublished 2019-04-11T10:16
53 schema:sdLicense https://scigraph.springernature.com/explorer/license/
54 schema:sdPublisher N65be6257a1784a549669aa6e10a9a619
55 schema:url https://link.springer.com/10.1007%2Fs00339-017-0865-x
56 sgo:license sg:explorer/license/
57 sgo:sdDataset articles
58 rdf:type schema:ScholarlyArticle
59 N30454a871f024c719545357638086f0d schema:volumeNumber 123
60 rdf:type schema:PublicationVolume
61 N5861fbe76eb94cccb5d4d8201e9a1f1f schema:issueNumber 4
62 rdf:type schema:PublicationIssue
63 N65be6257a1784a549669aa6e10a9a619 schema:name Springer Nature - SN SciGraph project
64 rdf:type schema:Organization
65 N920535c7b2654ccf809bbaf7deb0752f schema:name dimensions_id
66 schema:value pub.1084020859
67 rdf:type schema:PropertyValue
68 N9913e763e4394797af871ff60771076b schema:name doi
69 schema:value 10.1007/s00339-017-0865-x
70 rdf:type schema:PropertyValue
71 Nc8b1067672a447619366dceebea45abd rdf:first sg:person.014003156421.40
72 rdf:rest Ndf0f4139cfa14879a9ef2fa16416709d
73 Nca84f29125414c43aa404be7d95352bc rdf:first sg:person.016661441011.33
74 rdf:rest Nc8b1067672a447619366dceebea45abd
75 Ndf0f4139cfa14879a9ef2fa16416709d rdf:first sg:person.011435043237.91
76 rdf:rest rdf:nil
77 Nf322b559fe1f4a2b973be2ca1113ed16 schema:name readcube_id
78 schema:value d5a254a5c386bcc84e3e4592a1089e6f058056fd70e442796ff9a47a4bfb31f9
79 rdf:type schema:PropertyValue
80 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
81 schema:name Engineering
82 rdf:type schema:DefinedTerm
83 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
84 schema:name Materials Engineering
85 rdf:type schema:DefinedTerm
86 sg:journal.1022207 schema:issn 0947-8396
87 1432-0630
88 schema:name Applied Physics A
89 rdf:type schema:Periodical
90 sg:person.011435043237.91 schema:affiliation https://www.grid.ac/institutes/grid.413028.c
91 schema:familyName Vattikuti
92 schema:givenName S. V. Prabhakar
93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011435043237.91
94 rdf:type schema:Person
95 sg:person.014003156421.40 schema:affiliation https://www.grid.ac/institutes/grid.413028.c
96 schema:familyName Chalapathi
97 schema:givenName U.
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014003156421.40
99 rdf:type schema:Person
100 sg:person.016661441011.33 schema:affiliation https://www.grid.ac/institutes/grid.413028.c
101 schema:familyName Poornaprakash
102 schema:givenName B.
103 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016661441011.33
104 rdf:type schema:Person
105 sg:pub.10.1007/s00339-011-6563-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040776345
106 https://doi.org/10.1007/s00339-011-6563-1
107 rdf:type schema:CreativeWork
108 sg:pub.10.1007/s003390100889 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020710224
109 https://doi.org/10.1007/s003390100889
110 rdf:type schema:CreativeWork
111 sg:pub.10.1007/s13204-012-0167-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042599983
112 https://doi.org/10.1007/s13204-012-0167-8
113 rdf:type schema:CreativeWork
114 sg:pub.10.1023/a:1004709601889 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027664176
115 https://doi.org/10.1023/a:1004709601889
116 rdf:type schema:CreativeWork
117 sg:pub.10.1038/16420 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033723558
118 https://doi.org/10.1038/16420
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1016/j.actamat.2003.11.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053173679
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1016/j.apsusc.2011.03.114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026568972
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1016/j.apsusc.2011.09.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006561798
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1016/j.ceramint.2013.10.056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004327030
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1016/j.ceramint.2016.02.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024508483
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1016/j.cplett.2007.07.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044684580
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1016/j.jallcom.2012.12.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017098816
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1016/j.jallcom.2012.12.081 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015422360
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/j.jallcom.2013.11.079 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047399348
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/j.jmmm.2011.05.057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017378967
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/j.jssc.2009.07.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016997557
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/j.matlet.2015.10.119 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046592930
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/j.mseb.2008.03.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020955690
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/j.physe.2015.05.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019459827
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/j.physleta.2009.02.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010768938
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/j.pmatsci.2010.10.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028872868
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/j.saa.2012.07.125 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051124259
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/s0022-3697(00)00287-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033556583
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1021/cg301173k schema:sameAs https://app.dimensions.ai/details/publication/pub.1055396252
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1039/b923898k schema:sameAs https://app.dimensions.ai/details/publication/pub.1004065783
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1063/1.1669350 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057745854
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1063/1.2425028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057856154
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1063/1.332815 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057937264
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1080/00387010.2012.744318 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028074168
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1103/physrev.152.376 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060434216
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1103/physrevlett.72.416 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060809294
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1103/revmodphys.76.323 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007326605
173 rdf:type schema:CreativeWork
174 https://www.grid.ac/institutes/grid.413028.c schema:alternateName Yeungnam University
175 schema:name Department of Electronic Engineering, Yeungnam University, 38541, Gyeongsan, South Korea
176 School of Mechanical Engineering, Yeungnam University, 38541, Gyeongsan, South Korea
177 rdf:type schema:Organization
 




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


...