Elastic properties of single-walled carbon nanotube thin film by nanoindentation test View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-12

AUTHORS

Xingling Tang, Abdelkhalak El-Hami, Khalil El-Hami, EID Mohamed, Chaorun Si

ABSTRACT

This paper carries out a preliminary study for the elastic properties of single walled carbon nanotube (SWCNT) thin film. The SWCNT thin films (~250 nm) are prepared by a simple and cost effective method of spin-coating technology. Nanoindentation test with a Berkovich indenter is used to determine the hardness and elastic modulus of the SWCNT thin film. It is important to note that the elastic properties of SWCNT film are indirectly derived from the information of load and displacement of the indenter under certain assumptions, deviation of the 'test value' is inevitable. In this regard, uncertainty analysis is an effective process in guarantying the validity of the material properties. This paper carries out uncertainty estimation for the tested elastic properties of SWCNT film by nanoindentation. Experimental results and uncertainty analysis indicates that nanoindentation test could be an effective and reliable method in determine the elastic properties of SWCNT thin film. Moreover, the obtained values of hardness and elastic modulus can further benefit the design of SWCNT thin film based components. More... »

PAGES

11438

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-017-11722-y

DOI

http://dx.doi.org/10.1038/s41598-017-11722-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1091577717

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28900216


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": "Beijing Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.43555.32", 
          "name": [
            "School of Mechatronical Engineering, Beijing Institute of Technology, 100081, Beijing, China", 
            "China Nuclear Power Engineering Co., Ltd, 100840, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tang", 
        "givenName": "Xingling", 
        "id": "sg:person.011127561541.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011127561541.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut National des Sciences Appliqu\u00e9es de Rouen", 
          "id": "https://www.grid.ac/institutes/grid.435013.0", 
          "name": [
            "LOFIMS, INSA de Rouen, Avenue de l\u2019Universite, 76800, Saint Etienne de Rouvray, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "El-Hami", 
        "givenName": "Abdelkhalak", 
        "id": "sg:person.011652723753.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011652723753.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Laboratory of Nano-sciences and Modeling, Faculty of Khouribga, Univ. Hassan 1, BP.145, Khouribga, Morocco"
          ], 
          "type": "Organization"
        }, 
        "familyName": "El-Hami", 
        "givenName": "Khalil", 
        "id": "sg:person.010310233045.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010310233045.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "CEA Saclay", 
          "id": "https://www.grid.ac/institutes/grid.457334.2", 
          "name": [
            "CEA Saclay, Bat. 470, 91191Gif-sur-Yvette, Cedexe, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mohamed", 
        "givenName": "EID", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beijing Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.43555.32", 
          "name": [
            "School of Mechatronical Engineering, Beijing Institute of Technology, 100081, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Si", 
        "givenName": "Chaorun", 
        "id": "sg:person.014716763655.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014716763655.36"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s1369-7021(06)71495-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000824836"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2008/271763", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002743923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmps.2003.09.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007180958"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmps.2003.09.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007180958"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.200401340", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010132077"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl0608543", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011691765"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl0608543", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011691765"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0925-9635(02)00107-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020571580"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1044-5803(02)00192-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028702810"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1557/jmr.1986.0601", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033087180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0925-9635(93)90250-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035983354"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0925-9635(93)90250-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035983354"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35015519", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038132524", 
          "https://doi.org/10.1038/35015519"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35015519", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038132524", 
          "https://doi.org/10.1038/35015519"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5772/22021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039498990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1557/jmr.1992.1564", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043643805"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/ma5010047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050066410"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1400085", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057702857"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.3479393", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057958912"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1115311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062452449"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1149815", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062456551"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-12", 
    "datePublishedReg": "2017-12-01", 
    "description": "This paper carries out a preliminary study for the elastic properties of single walled carbon nanotube (SWCNT) thin film. The SWCNT thin films (~250\u2009nm) are prepared by a simple and cost effective method of spin-coating technology. Nanoindentation test with a Berkovich indenter is used to determine the hardness and elastic modulus of the SWCNT thin film. It is important to note that the elastic properties of SWCNT film are indirectly derived from the information of load and displacement of the indenter under certain assumptions, deviation of the 'test value' is inevitable. In this regard, uncertainty analysis is an effective process in guarantying the validity of the material properties. This paper carries out uncertainty estimation for the tested elastic properties of SWCNT film by nanoindentation. Experimental results and uncertainty analysis indicates that nanoindentation test could be an effective and reliable method in determine the elastic properties of SWCNT thin film. Moreover, the obtained values of hardness and elastic modulus can further benefit the design of SWCNT thin film based components.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-017-11722-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "7"
      }
    ], 
    "name": "Elastic properties of single-walled carbon nanotube thin film by nanoindentation test", 
    "pagination": "11438", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-017-11722-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1091577717"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "a3e7dff28c49059cb3e701bb36f3932749cb29878a617f957156256107a38ce1"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28900216"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-017-11722-y", 
      "https://app.dimensions.ai/details/publication/pub.1091577717"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-16T06:21", 
    "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/v90/0000000377_0000000377/records_106810_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-017-11722-y"
  }
]
 

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.10.1038/s41598-017-11722-y'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-017-11722-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-017-11722-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-017-11722-y'


 

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

156 TRIPLES      21 PREDICATES      46 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-017-11722-y schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author N52d3887d9b6246f48b76e012f9432dba
4 schema:citation sg:pub.10.1038/35015519
5 https://doi.org/10.1002/adma.200401340
6 https://doi.org/10.1016/0925-9635(93)90250-6
7 https://doi.org/10.1016/j.jmps.2003.09.015
8 https://doi.org/10.1016/s0925-9635(02)00107-3
9 https://doi.org/10.1016/s1044-5803(02)00192-4
10 https://doi.org/10.1016/s1369-7021(06)71495-x
11 https://doi.org/10.1021/nl0608543
12 https://doi.org/10.1063/1.1400085
13 https://doi.org/10.1063/1.3479393
14 https://doi.org/10.1126/science.1115311
15 https://doi.org/10.1126/science.1149815
16 https://doi.org/10.1155/2008/271763
17 https://doi.org/10.1557/jmr.1986.0601
18 https://doi.org/10.1557/jmr.1992.1564
19 https://doi.org/10.3390/ma5010047
20 https://doi.org/10.5772/22021
21 schema:datePublished 2017-12
22 schema:datePublishedReg 2017-12-01
23 schema:description This paper carries out a preliminary study for the elastic properties of single walled carbon nanotube (SWCNT) thin film. The SWCNT thin films (~250 nm) are prepared by a simple and cost effective method of spin-coating technology. Nanoindentation test with a Berkovich indenter is used to determine the hardness and elastic modulus of the SWCNT thin film. It is important to note that the elastic properties of SWCNT film are indirectly derived from the information of load and displacement of the indenter under certain assumptions, deviation of the 'test value' is inevitable. In this regard, uncertainty analysis is an effective process in guarantying the validity of the material properties. This paper carries out uncertainty estimation for the tested elastic properties of SWCNT film by nanoindentation. Experimental results and uncertainty analysis indicates that nanoindentation test could be an effective and reliable method in determine the elastic properties of SWCNT thin film. Moreover, the obtained values of hardness and elastic modulus can further benefit the design of SWCNT thin film based components.
24 schema:genre research_article
25 schema:inLanguage en
26 schema:isAccessibleForFree true
27 schema:isPartOf Nf62ce879306a49a783229320ef6197c7
28 Nfde2f57cb9564613bfcbc74828750366
29 sg:journal.1045337
30 schema:name Elastic properties of single-walled carbon nanotube thin film by nanoindentation test
31 schema:pagination 11438
32 schema:productId N1758dd5e59c14852a822a91f71deba42
33 N9b7b305986384c609e41af214881d350
34 Nbf9dbc94666c468d9ddbd192f8de1c6a
35 Nc3ea3dc742df401ba843748d35f05a60
36 Ne5818020447c41f6ae51f8fbd1ea3467
37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091577717
38 https://doi.org/10.1038/s41598-017-11722-y
39 schema:sdDatePublished 2019-04-16T06:21
40 schema:sdLicense https://scigraph.springernature.com/explorer/license/
41 schema:sdPublisher Naa70425655d5438cb5aa6c36e35ca410
42 schema:url https://www.nature.com/articles/s41598-017-11722-y
43 sgo:license sg:explorer/license/
44 sgo:sdDataset articles
45 rdf:type schema:ScholarlyArticle
46 N011db54f8f5e4706a4d03e3e4bda792d schema:name Laboratory of Nano-sciences and Modeling, Faculty of Khouribga, Univ. Hassan 1, BP.145, Khouribga, Morocco
47 rdf:type schema:Organization
48 N1758dd5e59c14852a822a91f71deba42 schema:name doi
49 schema:value 10.1038/s41598-017-11722-y
50 rdf:type schema:PropertyValue
51 N39aa7ba06fa648a0b6de4a2e8db2ddce rdf:first sg:person.011652723753.01
52 rdf:rest N48e3d960067d42c3bc09332a71b6b312
53 N48e3d960067d42c3bc09332a71b6b312 rdf:first sg:person.010310233045.12
54 rdf:rest Nb37cc3bff24a41fd98eefb758abf7e1a
55 N52d3887d9b6246f48b76e012f9432dba rdf:first sg:person.011127561541.43
56 rdf:rest N39aa7ba06fa648a0b6de4a2e8db2ddce
57 N6f10a5722fe2478880477f7e40539478 rdf:first sg:person.014716763655.36
58 rdf:rest rdf:nil
59 N9b7b305986384c609e41af214881d350 schema:name readcube_id
60 schema:value a3e7dff28c49059cb3e701bb36f3932749cb29878a617f957156256107a38ce1
61 rdf:type schema:PropertyValue
62 Naa70425655d5438cb5aa6c36e35ca410 schema:name Springer Nature - SN SciGraph project
63 rdf:type schema:Organization
64 Nb37cc3bff24a41fd98eefb758abf7e1a rdf:first Nb8c8686f1e0e4d97955218bc830bf74b
65 rdf:rest N6f10a5722fe2478880477f7e40539478
66 Nb8c8686f1e0e4d97955218bc830bf74b schema:affiliation https://www.grid.ac/institutes/grid.457334.2
67 schema:familyName Mohamed
68 schema:givenName EID
69 rdf:type schema:Person
70 Nbf9dbc94666c468d9ddbd192f8de1c6a schema:name nlm_unique_id
71 schema:value 101563288
72 rdf:type schema:PropertyValue
73 Nc3ea3dc742df401ba843748d35f05a60 schema:name pubmed_id
74 schema:value 28900216
75 rdf:type schema:PropertyValue
76 Ne5818020447c41f6ae51f8fbd1ea3467 schema:name dimensions_id
77 schema:value pub.1091577717
78 rdf:type schema:PropertyValue
79 Nf62ce879306a49a783229320ef6197c7 schema:issueNumber 1
80 rdf:type schema:PublicationIssue
81 Nfde2f57cb9564613bfcbc74828750366 schema:volumeNumber 7
82 rdf:type schema:PublicationVolume
83 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
84 schema:name Engineering
85 rdf:type schema:DefinedTerm
86 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
87 schema:name Materials Engineering
88 rdf:type schema:DefinedTerm
89 sg:journal.1045337 schema:issn 2045-2322
90 schema:name Scientific Reports
91 rdf:type schema:Periodical
92 sg:person.010310233045.12 schema:affiliation N011db54f8f5e4706a4d03e3e4bda792d
93 schema:familyName El-Hami
94 schema:givenName Khalil
95 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010310233045.12
96 rdf:type schema:Person
97 sg:person.011127561541.43 schema:affiliation https://www.grid.ac/institutes/grid.43555.32
98 schema:familyName Tang
99 schema:givenName Xingling
100 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011127561541.43
101 rdf:type schema:Person
102 sg:person.011652723753.01 schema:affiliation https://www.grid.ac/institutes/grid.435013.0
103 schema:familyName El-Hami
104 schema:givenName Abdelkhalak
105 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011652723753.01
106 rdf:type schema:Person
107 sg:person.014716763655.36 schema:affiliation https://www.grid.ac/institutes/grid.43555.32
108 schema:familyName Si
109 schema:givenName Chaorun
110 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014716763655.36
111 rdf:type schema:Person
112 sg:pub.10.1038/35015519 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038132524
113 https://doi.org/10.1038/35015519
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1002/adma.200401340 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010132077
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1016/0925-9635(93)90250-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035983354
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1016/j.jmps.2003.09.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007180958
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1016/s0925-9635(02)00107-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020571580
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1016/s1044-5803(02)00192-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028702810
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1016/s1369-7021(06)71495-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1000824836
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1021/nl0608543 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011691765
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1063/1.1400085 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057702857
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1063/1.3479393 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057958912
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1126/science.1115311 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062452449
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1126/science.1149815 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062456551
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1155/2008/271763 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002743923
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1557/jmr.1986.0601 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033087180
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1557/jmr.1992.1564 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043643805
142 rdf:type schema:CreativeWork
143 https://doi.org/10.3390/ma5010047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050066410
144 rdf:type schema:CreativeWork
145 https://doi.org/10.5772/22021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039498990
146 rdf:type schema:CreativeWork
147 https://www.grid.ac/institutes/grid.435013.0 schema:alternateName Institut National des Sciences Appliquées de Rouen
148 schema:name LOFIMS, INSA de Rouen, Avenue de l’Universite, 76800, Saint Etienne de Rouvray, France
149 rdf:type schema:Organization
150 https://www.grid.ac/institutes/grid.43555.32 schema:alternateName Beijing Institute of Technology
151 schema:name China Nuclear Power Engineering Co., Ltd, 100840, Beijing, China
152 School of Mechatronical Engineering, Beijing Institute of Technology, 100081, Beijing, China
153 rdf:type schema:Organization
154 https://www.grid.ac/institutes/grid.457334.2 schema:alternateName CEA Saclay
155 schema:name CEA Saclay, Bat. 470, 91191Gif-sur-Yvette, Cedexe, France
156 rdf:type schema:Organization
 




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


...