Mechanical and thermal properties of carbon-nanotube-reinforced self-healing polyurethanes View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-10

AUTHORS

Piotr Szatkowski, Kinga Pielichowska, Stanislaw Blazewicz

ABSTRACT

The study was conducted to synthesize self-healing polyurethanes (PUs) in the presence of multiwalled carbon nanotubes (CNTs). Measurements of the self-healing ability of PUs synthesized from N3300 isocyanate and polytetrahydrofuran with various contents of CNTs were taken. The mechanical and thermal properties were studied to analyse healing efficiency in experimentally damaged composite samples. The addition of CNTs results in a slight decrease in the self-healing efficiency of nanocomposites as compared to pure PUs. PU samples containing 40% content of soft segments self-healed much better than the samples with 50% content of soft segments. Functionalized carbon nanotubes CNT-OH due to presence of surface functional groups interact with PU chains, which results in an increase in the healing efficiency of mechanical strength and thermal conductivity of nanocomposites. More... »

PAGES

12221-12234

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10853-017-1353-6

DOI

http://dx.doi.org/10.1007/s10853-017-1353-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1090615587


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": "AGH University of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.9922.0", 
          "name": [
            "Faculty of Materials Science and Ceramics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Krak\u00f3w, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Szatkowski", 
        "givenName": "Piotr", 
        "id": "sg:person.01304316663.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01304316663.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "AGH University of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.9922.0", 
          "name": [
            "Faculty of Materials Science and Ceramics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Krak\u00f3w, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pielichowska", 
        "givenName": "Kinga", 
        "id": "sg:person.013145654337.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013145654337.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "AGH University of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.9922.0", 
          "name": [
            "Faculty of Materials Science and Ceramics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Krak\u00f3w, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Blazewicz", 
        "givenName": "Stanislaw", 
        "id": "sg:person.011227455565.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011227455565.60"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1166/jnn.2007.412", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001546207"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/apmc.1996.052420101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003531723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/app.39758", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006782948"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.progpolymsci.2008.02.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008678546"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mseb.2009.04.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015616085"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.colsurfa.2014.03.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018781536"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pmatsci.2016.07.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021036602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compositesa.2016.10.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021517878"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev-matsci-070909-104532", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022803548"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.matlet.2006.07.039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024383785"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c1jm10794a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026728388"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c4ra00213j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028612028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compscitech.2006.01.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034688794"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.molstruc.2016.01.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037796944"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejpe.2015.05.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037953412"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c2nr11442a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039489534"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.polymer.2014.02.033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042389028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/marc.200400492", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043409444"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compscitech.2005.05.034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044174340"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00218466908072191", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044818307"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.porgcoat.2012.08.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045242726"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.carbon.2005.01.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045550954"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0032-3861(03)00180-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050117668"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0032-3861(03)00180-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050117668"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eurpolymj.2008.07.047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053164824"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ma049293x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056190144"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ma049293x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056190144"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ma801718v", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056203198"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ma801718v", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056203198"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-10", 
    "datePublishedReg": "2017-10-01", 
    "description": "The study was conducted to synthesize self-healing polyurethanes (PUs) in the presence of multiwalled carbon nanotubes (CNTs). Measurements of the self-healing ability of PUs synthesized from N3300 isocyanate and polytetrahydrofuran with various contents of CNTs were taken. The mechanical and thermal properties were studied to analyse healing efficiency in experimentally damaged composite samples. The addition of CNTs results in a slight decrease in the self-healing efficiency of nanocomposites as compared to pure PUs. PU samples containing 40% content of soft segments self-healed much better than the samples with 50% content of soft segments. Functionalized carbon nanotubes CNT-OH due to presence of surface functional groups interact with PU chains, which results in an increase in the healing efficiency of mechanical strength and thermal conductivity of nanocomposites.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10853-017-1353-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1312116", 
        "issn": [
          "0022-2461", 
          "1573-4811"
        ], 
        "name": "Journal of Materials Science", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "20", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "52"
      }
    ], 
    "name": "Mechanical and thermal properties of carbon-nanotube-reinforced self-healing polyurethanes", 
    "pagination": "12221-12234", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "f4e86186485ec2e715d84c946d5198ff26daa027330564a7853ee23a4165ced4"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10853-017-1353-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1090615587"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10853-017-1353-6", 
      "https://app.dimensions.ai/details/publication/pub.1090615587"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:17", 
    "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_54307_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10853-017-1353-6"
  }
]
 

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/s10853-017-1353-6'

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/s10853-017-1353-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10853-017-1353-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10853-017-1353-6'


 

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

153 TRIPLES      21 PREDICATES      53 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10853-017-1353-6 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author Na68550753b4b47aeb3f55403fca6765d
4 schema:citation https://doi.org/10.1002/apmc.1996.052420101
5 https://doi.org/10.1002/app.39758
6 https://doi.org/10.1002/marc.200400492
7 https://doi.org/10.1016/j.carbon.2005.01.031
8 https://doi.org/10.1016/j.colsurfa.2014.03.008
9 https://doi.org/10.1016/j.compositesa.2016.10.009
10 https://doi.org/10.1016/j.compscitech.2005.05.034
11 https://doi.org/10.1016/j.compscitech.2006.01.024
12 https://doi.org/10.1016/j.ejpe.2015.05.008
13 https://doi.org/10.1016/j.eurpolymj.2008.07.047
14 https://doi.org/10.1016/j.matlet.2006.07.039
15 https://doi.org/10.1016/j.molstruc.2016.01.022
16 https://doi.org/10.1016/j.mseb.2009.04.006
17 https://doi.org/10.1016/j.pmatsci.2016.07.002
18 https://doi.org/10.1016/j.polymer.2014.02.033
19 https://doi.org/10.1016/j.porgcoat.2012.08.002
20 https://doi.org/10.1016/j.progpolymsci.2008.02.001
21 https://doi.org/10.1016/s0032-3861(03)00180-0
22 https://doi.org/10.1021/ma049293x
23 https://doi.org/10.1021/ma801718v
24 https://doi.org/10.1039/c1jm10794a
25 https://doi.org/10.1039/c2nr11442a
26 https://doi.org/10.1039/c4ra00213j
27 https://doi.org/10.1080/00218466908072191
28 https://doi.org/10.1146/annurev-matsci-070909-104532
29 https://doi.org/10.1166/jnn.2007.412
30 schema:datePublished 2017-10
31 schema:datePublishedReg 2017-10-01
32 schema:description The study was conducted to synthesize self-healing polyurethanes (PUs) in the presence of multiwalled carbon nanotubes (CNTs). Measurements of the self-healing ability of PUs synthesized from N3300 isocyanate and polytetrahydrofuran with various contents of CNTs were taken. The mechanical and thermal properties were studied to analyse healing efficiency in experimentally damaged composite samples. The addition of CNTs results in a slight decrease in the self-healing efficiency of nanocomposites as compared to pure PUs. PU samples containing 40% content of soft segments self-healed much better than the samples with 50% content of soft segments. Functionalized carbon nanotubes CNT-OH due to presence of surface functional groups interact with PU chains, which results in an increase in the healing efficiency of mechanical strength and thermal conductivity of nanocomposites.
33 schema:genre research_article
34 schema:inLanguage en
35 schema:isAccessibleForFree false
36 schema:isPartOf N44a2d806b8324d95a13626ac351561a7
37 Neb1476e10a62496f8ebcec7d9197f56d
38 sg:journal.1312116
39 schema:name Mechanical and thermal properties of carbon-nanotube-reinforced self-healing polyurethanes
40 schema:pagination 12221-12234
41 schema:productId N2ec512678e72497db07e0f5648fbb693
42 N64ecf8ec9155434585f9d45e73860f35
43 N71fd0177c980452380425d6799d6e686
44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090615587
45 https://doi.org/10.1007/s10853-017-1353-6
46 schema:sdDatePublished 2019-04-11T10:17
47 schema:sdLicense https://scigraph.springernature.com/explorer/license/
48 schema:sdPublisher N6362bddd7d9d4e1bb2f6f81eee0e9a34
49 schema:url https://link.springer.com/10.1007%2Fs10853-017-1353-6
50 sgo:license sg:explorer/license/
51 sgo:sdDataset articles
52 rdf:type schema:ScholarlyArticle
53 N020fba2af69b433e80869bcbf89808cd rdf:first sg:person.011227455565.60
54 rdf:rest rdf:nil
55 N2ec512678e72497db07e0f5648fbb693 schema:name readcube_id
56 schema:value f4e86186485ec2e715d84c946d5198ff26daa027330564a7853ee23a4165ced4
57 rdf:type schema:PropertyValue
58 N44a2d806b8324d95a13626ac351561a7 schema:issueNumber 20
59 rdf:type schema:PublicationIssue
60 N50d33574f6244b6883073ee7c601904e rdf:first sg:person.013145654337.85
61 rdf:rest N020fba2af69b433e80869bcbf89808cd
62 N6362bddd7d9d4e1bb2f6f81eee0e9a34 schema:name Springer Nature - SN SciGraph project
63 rdf:type schema:Organization
64 N64ecf8ec9155434585f9d45e73860f35 schema:name dimensions_id
65 schema:value pub.1090615587
66 rdf:type schema:PropertyValue
67 N71fd0177c980452380425d6799d6e686 schema:name doi
68 schema:value 10.1007/s10853-017-1353-6
69 rdf:type schema:PropertyValue
70 Na68550753b4b47aeb3f55403fca6765d rdf:first sg:person.01304316663.03
71 rdf:rest N50d33574f6244b6883073ee7c601904e
72 Neb1476e10a62496f8ebcec7d9197f56d schema:volumeNumber 52
73 rdf:type schema:PublicationVolume
74 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
75 schema:name Engineering
76 rdf:type schema:DefinedTerm
77 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
78 schema:name Materials Engineering
79 rdf:type schema:DefinedTerm
80 sg:journal.1312116 schema:issn 0022-2461
81 1573-4811
82 schema:name Journal of Materials Science
83 rdf:type schema:Periodical
84 sg:person.011227455565.60 schema:affiliation https://www.grid.ac/institutes/grid.9922.0
85 schema:familyName Blazewicz
86 schema:givenName Stanislaw
87 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011227455565.60
88 rdf:type schema:Person
89 sg:person.01304316663.03 schema:affiliation https://www.grid.ac/institutes/grid.9922.0
90 schema:familyName Szatkowski
91 schema:givenName Piotr
92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01304316663.03
93 rdf:type schema:Person
94 sg:person.013145654337.85 schema:affiliation https://www.grid.ac/institutes/grid.9922.0
95 schema:familyName Pielichowska
96 schema:givenName Kinga
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013145654337.85
98 rdf:type schema:Person
99 https://doi.org/10.1002/apmc.1996.052420101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003531723
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1002/app.39758 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006782948
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1002/marc.200400492 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043409444
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1016/j.carbon.2005.01.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045550954
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1016/j.colsurfa.2014.03.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018781536
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1016/j.compositesa.2016.10.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021517878
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1016/j.compscitech.2005.05.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044174340
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1016/j.compscitech.2006.01.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034688794
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1016/j.ejpe.2015.05.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037953412
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1016/j.eurpolymj.2008.07.047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053164824
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1016/j.matlet.2006.07.039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024383785
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1016/j.molstruc.2016.01.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037796944
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1016/j.mseb.2009.04.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015616085
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1016/j.pmatsci.2016.07.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021036602
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1016/j.polymer.2014.02.033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042389028
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1016/j.porgcoat.2012.08.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045242726
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/j.progpolymsci.2008.02.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008678546
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/s0032-3861(03)00180-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050117668
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1021/ma049293x schema:sameAs https://app.dimensions.ai/details/publication/pub.1056190144
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1021/ma801718v schema:sameAs https://app.dimensions.ai/details/publication/pub.1056203198
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1039/c1jm10794a schema:sameAs https://app.dimensions.ai/details/publication/pub.1026728388
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1039/c2nr11442a schema:sameAs https://app.dimensions.ai/details/publication/pub.1039489534
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1039/c4ra00213j schema:sameAs https://app.dimensions.ai/details/publication/pub.1028612028
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1080/00218466908072191 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044818307
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1146/annurev-matsci-070909-104532 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022803548
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1166/jnn.2007.412 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001546207
150 rdf:type schema:CreativeWork
151 https://www.grid.ac/institutes/grid.9922.0 schema:alternateName AGH University of Science and Technology
152 schema:name Faculty of Materials Science and Ceramics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Kraków, Poland
153 rdf:type schema:Organization
 




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


...