The effect of boron nitride on electrical conductivity of nanocarbon-polymer composites View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2014-03

AUTHORS

Yu. S. Perets, L. Yu. Matzui, L. L. Vovchenko, Yu. I. Prylutskyy, P. Scharff, U. Ritter

ABSTRACT

The electrical conductivity concentration and temperature dependences of polymer composite materials (CMs) with nanocarbon fillers [graphite nanoplatelets and multi-walled carbon nanotubes (MWCNTs)] were investigated. Epoxy resin modified with organosilicon compound was used as polymer matrix. The content of nanocarbon filler in varied from 1 to 10 wt%. To study of the synergetic properties the additional dispersed dielectric filler—boron nitride (BN) was added to given systems in content of 27 wt%. The electrical resistivity of CMs was investigated in the temperature range of 77–300 K. In the studied CMs the percolation transition at sufficient low filler content (0.01–0.022 vol. fr.) was observed. The values of critical index varied from 3.0 to 5.2. The electrical conductivity of investigated CMs was analyzed in the framework of proposed model that takes into consideration the morphology of filler particles. It was shown that the increase of electrical conductivity of GNP-polymer CM in the presence of BN is attributed to the decrease of contact resistance between filler particles, while for MWCNT-polymer CM is due to the increase of the number of conductive chains in this particular system. More... »

PAGES

2098-2105

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10853-013-7901-9

DOI

http://dx.doi.org/10.1007/s10853-013-7901-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1013972019


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": "Taras Shevchenko National University of Kyiv", 
          "id": "https://www.grid.ac/institutes/grid.34555.32", 
          "name": [
            "Taras Shevchenko National University of Kyiv, Volodymyrska Str., 64, 01601, Kiev, Ukraine"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Perets", 
        "givenName": "Yu. S.", 
        "id": "sg:person.012535233315.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012535233315.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Taras Shevchenko National University of Kyiv", 
          "id": "https://www.grid.ac/institutes/grid.34555.32", 
          "name": [
            "Taras Shevchenko National University of Kyiv, Volodymyrska Str., 64, 01601, Kiev, Ukraine"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matzui", 
        "givenName": "L. Yu.", 
        "id": "sg:person.015064134271.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015064134271.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Taras Shevchenko National University of Kyiv", 
          "id": "https://www.grid.ac/institutes/grid.34555.32", 
          "name": [
            "Taras Shevchenko National University of Kyiv, Volodymyrska Str., 64, 01601, Kiev, Ukraine"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vovchenko", 
        "givenName": "L. L.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Taras Shevchenko National University of Kyiv", 
          "id": "https://www.grid.ac/institutes/grid.34555.32", 
          "name": [
            "Taras Shevchenko National University of Kyiv, Volodymyrska Str., 64, 01601, Kiev, Ukraine"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Prylutskyy", 
        "givenName": "Yu. I.", 
        "id": "sg:person.0761452727.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761452727.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ilmenau University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.6553.5", 
          "name": [
            "Technical University of Ilmenau, Weimarer Str. 25, 98693, Ilmenau, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Scharff", 
        "givenName": "P.", 
        "id": "sg:person.0616413475.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0616413475.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ilmenau University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.6553.5", 
          "name": [
            "Technical University of Ilmenau, Weimarer Str. 25, 98693, Ilmenau, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ritter", 
        "givenName": "U.", 
        "id": "sg:person.0664526675.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0664526675.56"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.scriptamat.2007.08.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005809908"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compscitech.2012.10.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006677355"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pen.20658", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012306732"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0022-3727/39/10/040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015235997"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.200800401", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016311244"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.200800401", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016311244"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c2ra20956j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017132569"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0014-3057(01)00115-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031622198"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0266-3538(02)00201-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034823258"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0266-3538(02)00201-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034823258"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0957-4484/21/10/105702", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036653674"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/15421406.2011.538346", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037946145"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pen.21445", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039782561"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pen.21445", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039782561"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scriptamat.2006.12.038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048112455"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.msea.2006.08.145", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050665957"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mawe.200900439", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051819306"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mawe.200900439", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051819306"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.3026724", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057895038"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3144/expresspolymlett.2007.39", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071053137"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4028/www.scientific.net/ssp.151.176", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072154211"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-03", 
    "datePublishedReg": "2014-03-01", 
    "description": "The electrical conductivity concentration and temperature dependences of polymer composite materials (CMs) with nanocarbon fillers [graphite nanoplatelets and multi-walled carbon nanotubes (MWCNTs)] were investigated. Epoxy resin modified with organosilicon compound was used as polymer matrix. The content of nanocarbon filler in varied from 1 to 10 wt%. To study of the synergetic properties the additional dispersed dielectric filler\u2014boron nitride (BN) was added to given systems in content of 27 wt%. The electrical resistivity of CMs was investigated in the temperature range of 77\u2013300 K. In the studied CMs the percolation transition at sufficient low filler content (0.01\u20130.022 vol. fr.) was observed. The values of critical index varied from 3.0 to 5.2. The electrical conductivity of investigated CMs was analyzed in the framework of proposed model that takes into consideration the morphology of filler particles. It was shown that the increase of electrical conductivity of GNP-polymer CM in the presence of BN is attributed to the decrease of contact resistance between filler particles, while for MWCNT-polymer CM is due to the increase of the number of conductive chains in this particular system.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10853-013-7901-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1312116", 
        "issn": [
          "0022-2461", 
          "1573-4811"
        ], 
        "name": "Journal of Materials Science", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "49"
      }
    ], 
    "name": "The effect of boron nitride on electrical conductivity of nanocarbon-polymer composites", 
    "pagination": "2098-2105", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "428f0332c1f28e1587da60dc4a15fc3384128e3b8304aa00f49e88631c3aac23"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10853-013-7901-9"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1013972019"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10853-013-7901-9", 
      "https://app.dimensions.ai/details/publication/pub.1013972019"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T22:31", 
    "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_00000511.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs10853-013-7901-9"
  }
]
 

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/s10853-013-7901-9'

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/s10853-013-7901-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10853-013-7901-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10853-013-7901-9'


 

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

149 TRIPLES      21 PREDICATES      44 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10853-013-7901-9 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author N9b0d677806a64ac6a059080fb85825c8
4 schema:citation https://doi.org/10.1002/adma.200800401
5 https://doi.org/10.1002/mawe.200900439
6 https://doi.org/10.1002/pen.20658
7 https://doi.org/10.1002/pen.21445
8 https://doi.org/10.1016/j.compscitech.2012.10.008
9 https://doi.org/10.1016/j.msea.2006.08.145
10 https://doi.org/10.1016/j.scriptamat.2006.12.038
11 https://doi.org/10.1016/j.scriptamat.2007.08.025
12 https://doi.org/10.1016/s0014-3057(01)00115-x
13 https://doi.org/10.1016/s0266-3538(02)00201-4
14 https://doi.org/10.1039/c2ra20956j
15 https://doi.org/10.1063/1.3026724
16 https://doi.org/10.1080/15421406.2011.538346
17 https://doi.org/10.1088/0022-3727/39/10/040
18 https://doi.org/10.1088/0957-4484/21/10/105702
19 https://doi.org/10.3144/expresspolymlett.2007.39
20 https://doi.org/10.4028/www.scientific.net/ssp.151.176
21 schema:datePublished 2014-03
22 schema:datePublishedReg 2014-03-01
23 schema:description The electrical conductivity concentration and temperature dependences of polymer composite materials (CMs) with nanocarbon fillers [graphite nanoplatelets and multi-walled carbon nanotubes (MWCNTs)] were investigated. Epoxy resin modified with organosilicon compound was used as polymer matrix. The content of nanocarbon filler in varied from 1 to 10 wt%. To study of the synergetic properties the additional dispersed dielectric filler—boron nitride (BN) was added to given systems in content of 27 wt%. The electrical resistivity of CMs was investigated in the temperature range of 77–300 K. In the studied CMs the percolation transition at sufficient low filler content (0.01–0.022 vol. fr.) was observed. The values of critical index varied from 3.0 to 5.2. The electrical conductivity of investigated CMs was analyzed in the framework of proposed model that takes into consideration the morphology of filler particles. It was shown that the increase of electrical conductivity of GNP-polymer CM in the presence of BN is attributed to the decrease of contact resistance between filler particles, while for MWCNT-polymer CM is due to the increase of the number of conductive chains in this particular system.
24 schema:genre research_article
25 schema:inLanguage en
26 schema:isAccessibleForFree false
27 schema:isPartOf Nd48c61e5c1dd447a9ddfe21796da2a23
28 Nfd3ed238ca044594b452f28457035f1b
29 sg:journal.1312116
30 schema:name The effect of boron nitride on electrical conductivity of nanocarbon-polymer composites
31 schema:pagination 2098-2105
32 schema:productId N212c2cb1091b4a2ab5de221e43dcdec0
33 N92d87a9085f9499b8b0f8d0ca4fe689c
34 Nc2dfe87957464ffb9ca08544cf80ed0a
35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013972019
36 https://doi.org/10.1007/s10853-013-7901-9
37 schema:sdDatePublished 2019-04-10T22:31
38 schema:sdLicense https://scigraph.springernature.com/explorer/license/
39 schema:sdPublisher N085cedd1b7164f389f0f9e1aef63aa86
40 schema:url http://link.springer.com/10.1007%2Fs10853-013-7901-9
41 sgo:license sg:explorer/license/
42 sgo:sdDataset articles
43 rdf:type schema:ScholarlyArticle
44 N085cedd1b7164f389f0f9e1aef63aa86 schema:name Springer Nature - SN SciGraph project
45 rdf:type schema:Organization
46 N0e8b01bc572a452d979b74e804e39207 schema:affiliation https://www.grid.ac/institutes/grid.34555.32
47 schema:familyName Vovchenko
48 schema:givenName L. L.
49 rdf:type schema:Person
50 N212c2cb1091b4a2ab5de221e43dcdec0 schema:name doi
51 schema:value 10.1007/s10853-013-7901-9
52 rdf:type schema:PropertyValue
53 N2d470301bc07495aa606989bcdb268c1 rdf:first sg:person.0761452727.99
54 rdf:rest Nf49ed90b637d47598e887e157444cd52
55 N3c939fe74f604cfe9ab71c26da41e307 rdf:first sg:person.015064134271.27
56 rdf:rest N93812efcb20848249e9fad996c855bc6
57 N92d87a9085f9499b8b0f8d0ca4fe689c schema:name dimensions_id
58 schema:value pub.1013972019
59 rdf:type schema:PropertyValue
60 N93812efcb20848249e9fad996c855bc6 rdf:first N0e8b01bc572a452d979b74e804e39207
61 rdf:rest N2d470301bc07495aa606989bcdb268c1
62 N9b0d677806a64ac6a059080fb85825c8 rdf:first sg:person.012535233315.02
63 rdf:rest N3c939fe74f604cfe9ab71c26da41e307
64 N9f346af229e14e25a8cb49803d0414ee rdf:first sg:person.0664526675.56
65 rdf:rest rdf:nil
66 Nc2dfe87957464ffb9ca08544cf80ed0a schema:name readcube_id
67 schema:value 428f0332c1f28e1587da60dc4a15fc3384128e3b8304aa00f49e88631c3aac23
68 rdf:type schema:PropertyValue
69 Nd48c61e5c1dd447a9ddfe21796da2a23 schema:volumeNumber 49
70 rdf:type schema:PublicationVolume
71 Nf49ed90b637d47598e887e157444cd52 rdf:first sg:person.0616413475.06
72 rdf:rest N9f346af229e14e25a8cb49803d0414ee
73 Nfd3ed238ca044594b452f28457035f1b schema:issueNumber 5
74 rdf:type schema:PublicationIssue
75 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
76 schema:name Engineering
77 rdf:type schema:DefinedTerm
78 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
79 schema:name Materials Engineering
80 rdf:type schema:DefinedTerm
81 sg:journal.1312116 schema:issn 0022-2461
82 1573-4811
83 schema:name Journal of Materials Science
84 rdf:type schema:Periodical
85 sg:person.012535233315.02 schema:affiliation https://www.grid.ac/institutes/grid.34555.32
86 schema:familyName Perets
87 schema:givenName Yu. S.
88 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012535233315.02
89 rdf:type schema:Person
90 sg:person.015064134271.27 schema:affiliation https://www.grid.ac/institutes/grid.34555.32
91 schema:familyName Matzui
92 schema:givenName L. Yu.
93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015064134271.27
94 rdf:type schema:Person
95 sg:person.0616413475.06 schema:affiliation https://www.grid.ac/institutes/grid.6553.5
96 schema:familyName Scharff
97 schema:givenName P.
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0616413475.06
99 rdf:type schema:Person
100 sg:person.0664526675.56 schema:affiliation https://www.grid.ac/institutes/grid.6553.5
101 schema:familyName Ritter
102 schema:givenName U.
103 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0664526675.56
104 rdf:type schema:Person
105 sg:person.0761452727.99 schema:affiliation https://www.grid.ac/institutes/grid.34555.32
106 schema:familyName Prylutskyy
107 schema:givenName Yu. I.
108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761452727.99
109 rdf:type schema:Person
110 https://doi.org/10.1002/adma.200800401 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016311244
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1002/mawe.200900439 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051819306
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1002/pen.20658 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012306732
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1002/pen.21445 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039782561
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1016/j.compscitech.2012.10.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006677355
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1016/j.msea.2006.08.145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050665957
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1016/j.scriptamat.2006.12.038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048112455
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1016/j.scriptamat.2007.08.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005809908
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1016/s0014-3057(01)00115-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1031622198
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1016/s0266-3538(02)00201-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034823258
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1039/c2ra20956j schema:sameAs https://app.dimensions.ai/details/publication/pub.1017132569
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1063/1.3026724 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057895038
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1080/15421406.2011.538346 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037946145
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1088/0022-3727/39/10/040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015235997
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1088/0957-4484/21/10/105702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036653674
139 rdf:type schema:CreativeWork
140 https://doi.org/10.3144/expresspolymlett.2007.39 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071053137
141 rdf:type schema:CreativeWork
142 https://doi.org/10.4028/www.scientific.net/ssp.151.176 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072154211
143 rdf:type schema:CreativeWork
144 https://www.grid.ac/institutes/grid.34555.32 schema:alternateName Taras Shevchenko National University of Kyiv
145 schema:name Taras Shevchenko National University of Kyiv, Volodymyrska Str., 64, 01601, Kiev, Ukraine
146 rdf:type schema:Organization
147 https://www.grid.ac/institutes/grid.6553.5 schema:alternateName Ilmenau University of Technology
148 schema:name Technical University of Ilmenau, Weimarer Str. 25, 98693, Ilmenau, Germany
149 rdf:type schema:Organization
 




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


...