Determination of the texture of arrays of aligned carbon nanotubes from the angular dependence of the X-ray emission and X-ray ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2008-09

AUTHORS

A. V. Okotrub, V. V. Belavin, L. G. Bulusheva, A. V. Gusel’nikov, A. G. Kudashov, D. V. Vyalikh, S. L. Molodtsov

ABSTRACT

The properties of materials containing carbon nanotubes depend on the degree of alignment and the internal structure of nanotubes. It is shown that the degree of misorientation of carbon nanotubes in samples can be evaluated from the measurements of the angular dependences of the carbon X-ray emission and carbon X-ray absorption spectra. The CKα emission and CK X-ray absorption spectra of the array of multiwalled carbon nanotubes synthesized by catalytic thermolysis of a mixture of fullerene and ferrocene are measured. A comparison of the calculated model dependences of the relative intensities of the π and σ bands in the spectra with the experimental results makes it possible to evaluate the degree of misorientation of nanotubes in the sample and their internal texture. More... »

PAGES

517-525

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s1063776108090197

DOI

http://dx.doi.org/10.1134/s1063776108090197

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1020422168


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/2008/0307", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Theoretical and Computational Chemistry", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Nikolaev Institute of Inorganic Chemistry", 
          "id": "https://www.grid.ac/institutes/grid.425759.8", 
          "name": [
            "Nikolaev Institute of Inorganic Chemistry, Siberian Branch, Russian Academy of Sciences, pr. Akademika Lavrent\u2019eva 3, 630090, Novosibirsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Okotrub", 
        "givenName": "A. V.", 
        "id": "sg:person.01211706670.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01211706670.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nikolaev Institute of Inorganic Chemistry", 
          "id": "https://www.grid.ac/institutes/grid.425759.8", 
          "name": [
            "Nikolaev Institute of Inorganic Chemistry, Siberian Branch, Russian Academy of Sciences, pr. Akademika Lavrent\u2019eva 3, 630090, Novosibirsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Belavin", 
        "givenName": "V. V.", 
        "id": "sg:person.011130645637.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011130645637.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nikolaev Institute of Inorganic Chemistry", 
          "id": "https://www.grid.ac/institutes/grid.425759.8", 
          "name": [
            "Nikolaev Institute of Inorganic Chemistry, Siberian Branch, Russian Academy of Sciences, pr. Akademika Lavrent\u2019eva 3, 630090, Novosibirsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bulusheva", 
        "givenName": "L. G.", 
        "id": "sg:person.012243131253.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012243131253.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nikolaev Institute of Inorganic Chemistry", 
          "id": "https://www.grid.ac/institutes/grid.425759.8", 
          "name": [
            "Nikolaev Institute of Inorganic Chemistry, Siberian Branch, Russian Academy of Sciences, pr. Akademika Lavrent\u2019eva 3, 630090, Novosibirsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gusel\u2019nikov", 
        "givenName": "A. V.", 
        "id": "sg:person.013303004260.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013303004260.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nikolaev Institute of Inorganic Chemistry", 
          "id": "https://www.grid.ac/institutes/grid.425759.8", 
          "name": [
            "Nikolaev Institute of Inorganic Chemistry, Siberian Branch, Russian Academy of Sciences, pr. Akademika Lavrent\u2019eva 3, 630090, Novosibirsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kudashov", 
        "givenName": "A. G.", 
        "id": "sg:person.013301165103.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013301165103.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "TU Dresden", 
          "id": "https://www.grid.ac/institutes/grid.4488.0", 
          "name": [
            "Institute of Solid State Physics, Dresden University of Technology, D-01062, Dresden, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vyalikh", 
        "givenName": "D. V.", 
        "id": "sg:person.01166134716.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01166134716.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "TU Dresden", 
          "id": "https://www.grid.ac/institutes/grid.4488.0", 
          "name": [
            "Institute of Solid State Physics, Dresden University of Technology, D-01062, Dresden, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Molodtsov", 
        "givenName": "S. L.", 
        "id": "sg:person.014457743507.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014457743507.11"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/bbpc.19750791132", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000925860"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0009-2614(03)00531-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003242548"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0009-2614(03)00531-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003242548"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003390100929", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004139818", 
          "https://doi.org/10.1007/s003390100929"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0009-2614(02)01620-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010564781"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0009-2614(02)01620-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010564781"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b606596c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011837817"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0953-8984/15/38/022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019217635"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.diamond.2004.11.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020759109"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003390100564", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031886163", 
          "https://doi.org/10.1007/s003390100564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1104962", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034275179"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1107/s010876730609800x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035539609"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cplett.2005.01.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037525808"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/smll.200500256", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046334297"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/smll.200500256", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046334297"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp047408t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056058075"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp047408t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056058075"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.125352", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057689471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1699498", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057769942"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10641229809350211", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058370174"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.33.4034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060539647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.33.4034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060539647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.48.2608", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060568295"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.48.2608", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060568295"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.50.10457", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060572385"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.50.10457", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060572385"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.64.233401", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060601545"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.64.233401", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060601545"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.77.3865", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060814179"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.77.3865", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060814179"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.82.944", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060819782"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.82.944", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060819782"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.290.5495.1331", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062572133"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2008-09", 
    "datePublishedReg": "2008-09-01", 
    "description": "The properties of materials containing carbon nanotubes depend on the degree of alignment and the internal structure of nanotubes. It is shown that the degree of misorientation of carbon nanotubes in samples can be evaluated from the measurements of the angular dependences of the carbon X-ray emission and carbon X-ray absorption spectra. The CK\u03b1 emission and CK X-ray absorption spectra of the array of multiwalled carbon nanotubes synthesized by catalytic thermolysis of a mixture of fullerene and ferrocene are measured. A comparison of the calculated model dependences of the relative intensities of the \u03c0 and \u03c3 bands in the spectra with the experimental results makes it possible to evaluate the degree of misorientation of nanotubes in the sample and their internal texture.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1134/s1063776108090197", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1295107", 
        "issn": [
          "1063-7761", 
          "1090-6509"
        ], 
        "name": "Journal of Experimental and Theoretical Physics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "107"
      }
    ], 
    "name": "Determination of the texture of arrays of aligned carbon nanotubes from the angular dependence of the X-ray emission and X-ray absorption spectra", 
    "pagination": "517-525", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "614e73d3bb15c119d62807c6c90da6cf1510856ffa64c35ff109d280359b992c"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s1063776108090197"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1020422168"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s1063776108090197", 
      "https://app.dimensions.ai/details/publication/pub.1020422168"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:07", 
    "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_8660_00000504.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1134%2FS1063776108090197"
  }
]
 

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.10.1134/s1063776108090197'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1134/s1063776108090197'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s1063776108090197'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s1063776108090197'


 

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

177 TRIPLES      21 PREDICATES      50 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s1063776108090197 schema:about anzsrc-for:03
2 anzsrc-for:0307
3 schema:author Nbd50d3a778c04d5186be0b677ac0a53b
4 schema:citation sg:pub.10.1007/s003390100564
5 sg:pub.10.1007/s003390100929
6 https://doi.org/10.1002/bbpc.19750791132
7 https://doi.org/10.1002/smll.200500256
8 https://doi.org/10.1016/j.cplett.2005.01.031
9 https://doi.org/10.1016/j.diamond.2004.11.018
10 https://doi.org/10.1016/s0009-2614(02)01620-2
11 https://doi.org/10.1016/s0009-2614(03)00531-1
12 https://doi.org/10.1021/jp047408t
13 https://doi.org/10.1039/b606596c
14 https://doi.org/10.1063/1.125352
15 https://doi.org/10.1063/1.1699498
16 https://doi.org/10.1080/10641229809350211
17 https://doi.org/10.1088/0953-8984/15/38/022
18 https://doi.org/10.1103/physrevb.33.4034
19 https://doi.org/10.1103/physrevb.48.2608
20 https://doi.org/10.1103/physrevb.50.10457
21 https://doi.org/10.1103/physrevb.64.233401
22 https://doi.org/10.1103/physrevlett.77.3865
23 https://doi.org/10.1103/physrevlett.82.944
24 https://doi.org/10.1107/s010876730609800x
25 https://doi.org/10.1126/science.1104962
26 https://doi.org/10.1126/science.290.5495.1331
27 schema:datePublished 2008-09
28 schema:datePublishedReg 2008-09-01
29 schema:description The properties of materials containing carbon nanotubes depend on the degree of alignment and the internal structure of nanotubes. It is shown that the degree of misorientation of carbon nanotubes in samples can be evaluated from the measurements of the angular dependences of the carbon X-ray emission and carbon X-ray absorption spectra. The CKα emission and CK X-ray absorption spectra of the array of multiwalled carbon nanotubes synthesized by catalytic thermolysis of a mixture of fullerene and ferrocene are measured. A comparison of the calculated model dependences of the relative intensities of the π and σ bands in the spectra with the experimental results makes it possible to evaluate the degree of misorientation of nanotubes in the sample and their internal texture.
30 schema:genre research_article
31 schema:inLanguage en
32 schema:isAccessibleForFree false
33 schema:isPartOf N4fb8e88321024b8b912ebbff0a33bf34
34 N8af3c64473e64fd2a7d3f0092182ff3b
35 sg:journal.1295107
36 schema:name Determination of the texture of arrays of aligned carbon nanotubes from the angular dependence of the X-ray emission and X-ray absorption spectra
37 schema:pagination 517-525
38 schema:productId Nb4ef4e609c764d2da048410649d9c400
39 Ne888d5799af4431d9660a95112866b8e
40 Nf89c8646553448b69a4d65b92fbb466f
41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020422168
42 https://doi.org/10.1134/s1063776108090197
43 schema:sdDatePublished 2019-04-10T14:07
44 schema:sdLicense https://scigraph.springernature.com/explorer/license/
45 schema:sdPublisher N57ebff30efac4917b6469a5ca406b0be
46 schema:url http://link.springer.com/10.1134%2FS1063776108090197
47 sgo:license sg:explorer/license/
48 sgo:sdDataset articles
49 rdf:type schema:ScholarlyArticle
50 N4f7c3d0bcc8043a1bbd0854338e9c26b rdf:first sg:person.014457743507.11
51 rdf:rest rdf:nil
52 N4fb8e88321024b8b912ebbff0a33bf34 schema:issueNumber 3
53 rdf:type schema:PublicationIssue
54 N57ebff30efac4917b6469a5ca406b0be schema:name Springer Nature - SN SciGraph project
55 rdf:type schema:Organization
56 N6765163d283c4259a4bdf93f95b93354 rdf:first sg:person.013303004260.50
57 rdf:rest N7ffe7ad77a8c4689b9914dea3349df51
58 N7ffe7ad77a8c4689b9914dea3349df51 rdf:first sg:person.013301165103.11
59 rdf:rest N9d7f923e537a4df597d565c2fc576776
60 N8af3c64473e64fd2a7d3f0092182ff3b schema:volumeNumber 107
61 rdf:type schema:PublicationVolume
62 N9866591f910d43fa8c5385bda747db64 rdf:first sg:person.012243131253.72
63 rdf:rest N6765163d283c4259a4bdf93f95b93354
64 N9d7f923e537a4df597d565c2fc576776 rdf:first sg:person.01166134716.44
65 rdf:rest N4f7c3d0bcc8043a1bbd0854338e9c26b
66 Nb4ef4e609c764d2da048410649d9c400 schema:name doi
67 schema:value 10.1134/s1063776108090197
68 rdf:type schema:PropertyValue
69 Nbd50d3a778c04d5186be0b677ac0a53b rdf:first sg:person.01211706670.29
70 rdf:rest Nd108e0da5ae34b28be81cd50cdae9db5
71 Nd108e0da5ae34b28be81cd50cdae9db5 rdf:first sg:person.011130645637.82
72 rdf:rest N9866591f910d43fa8c5385bda747db64
73 Ne888d5799af4431d9660a95112866b8e schema:name dimensions_id
74 schema:value pub.1020422168
75 rdf:type schema:PropertyValue
76 Nf89c8646553448b69a4d65b92fbb466f schema:name readcube_id
77 schema:value 614e73d3bb15c119d62807c6c90da6cf1510856ffa64c35ff109d280359b992c
78 rdf:type schema:PropertyValue
79 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
80 schema:name Chemical Sciences
81 rdf:type schema:DefinedTerm
82 anzsrc-for:0307 schema:inDefinedTermSet anzsrc-for:
83 schema:name Theoretical and Computational Chemistry
84 rdf:type schema:DefinedTerm
85 sg:journal.1295107 schema:issn 1063-7761
86 1090-6509
87 schema:name Journal of Experimental and Theoretical Physics
88 rdf:type schema:Periodical
89 sg:person.011130645637.82 schema:affiliation https://www.grid.ac/institutes/grid.425759.8
90 schema:familyName Belavin
91 schema:givenName V. V.
92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011130645637.82
93 rdf:type schema:Person
94 sg:person.01166134716.44 schema:affiliation https://www.grid.ac/institutes/grid.4488.0
95 schema:familyName Vyalikh
96 schema:givenName D. V.
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01166134716.44
98 rdf:type schema:Person
99 sg:person.01211706670.29 schema:affiliation https://www.grid.ac/institutes/grid.425759.8
100 schema:familyName Okotrub
101 schema:givenName A. V.
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01211706670.29
103 rdf:type schema:Person
104 sg:person.012243131253.72 schema:affiliation https://www.grid.ac/institutes/grid.425759.8
105 schema:familyName Bulusheva
106 schema:givenName L. G.
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012243131253.72
108 rdf:type schema:Person
109 sg:person.013301165103.11 schema:affiliation https://www.grid.ac/institutes/grid.425759.8
110 schema:familyName Kudashov
111 schema:givenName A. G.
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013301165103.11
113 rdf:type schema:Person
114 sg:person.013303004260.50 schema:affiliation https://www.grid.ac/institutes/grid.425759.8
115 schema:familyName Gusel’nikov
116 schema:givenName A. V.
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013303004260.50
118 rdf:type schema:Person
119 sg:person.014457743507.11 schema:affiliation https://www.grid.ac/institutes/grid.4488.0
120 schema:familyName Molodtsov
121 schema:givenName S. L.
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014457743507.11
123 rdf:type schema:Person
124 sg:pub.10.1007/s003390100564 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031886163
125 https://doi.org/10.1007/s003390100564
126 rdf:type schema:CreativeWork
127 sg:pub.10.1007/s003390100929 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004139818
128 https://doi.org/10.1007/s003390100929
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1002/bbpc.19750791132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000925860
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1002/smll.200500256 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046334297
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1016/j.cplett.2005.01.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037525808
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/j.diamond.2004.11.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020759109
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/s0009-2614(02)01620-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010564781
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/s0009-2614(03)00531-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003242548
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1021/jp047408t schema:sameAs https://app.dimensions.ai/details/publication/pub.1056058075
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1039/b606596c schema:sameAs https://app.dimensions.ai/details/publication/pub.1011837817
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1063/1.125352 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057689471
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1063/1.1699498 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057769942
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1080/10641229809350211 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058370174
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1088/0953-8984/15/38/022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019217635
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1103/physrevb.33.4034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060539647
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1103/physrevb.48.2608 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060568295
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1103/physrevb.50.10457 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060572385
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1103/physrevb.64.233401 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060601545
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1103/physrevlett.77.3865 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060814179
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1103/physrevlett.82.944 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060819782
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1107/s010876730609800x schema:sameAs https://app.dimensions.ai/details/publication/pub.1035539609
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1126/science.1104962 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034275179
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1126/science.290.5495.1331 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062572133
171 rdf:type schema:CreativeWork
172 https://www.grid.ac/institutes/grid.425759.8 schema:alternateName Nikolaev Institute of Inorganic Chemistry
173 schema:name Nikolaev Institute of Inorganic Chemistry, Siberian Branch, Russian Academy of Sciences, pr. Akademika Lavrent’eva 3, 630090, Novosibirsk, Russia
174 rdf:type schema:Organization
175 https://www.grid.ac/institutes/grid.4488.0 schema:alternateName TU Dresden
176 schema:name Institute of Solid State Physics, Dresden University of Technology, D-01062, Dresden, Germany
177 rdf:type schema:Organization
 




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


...