Functional composition and electrochemical characteristics of oxidized nanosized carbon View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-11

AUTHORS

K. M. Popov, Yu. V. Fedoseeva, O. A. Kokhanovskaya, G. I. Razd′yakonova, D. A. Smirnov, L. G. Bulusheva, A. V. Okotrub

ABSTRACT

The functional composition and electrochemical behavior of the samples of N121 oxidized nanosized technical carbon in aqueous electrolytes are studied. For oxidation a 30% aqueous hydrogen peroxide (H2O2) solution and 2% H2O2 with the addition of singlet oxygen or ozone were used. By means of X-ray photoelectron spectroscopy data and the analysis of the near edge X-ray absorption fine structure the features of the chemical structure of the samples are found. The oxygen concentration did not exceed 5 at.% in the samples. The analysis of cyclic voltammograms reveals that at low scan rates the specific capacitance of the material is determined by the functional composition of the surface. The sample oxidized by 30% H2O2 solution and containing the largest number of–OH and–COOH groups demonstrated the highest capacitance in 6M KOH and in 1М H2SO4 it was the sample with the highest concentration of C=O groups formed during the oxidation with singlet oxygen. The stability of carbon electrodes is studied in supercapacitor models. More... »

PAGES

1187-1195

References to SciGraph publications

  • 1996-11. Effects of ozone oxidation on carbon black surfaces in JOURNAL OF MATERIALS SCIENCE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1134/s0022476617060178

    DOI

    http://dx.doi.org/10.1134/s0022476617060178

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1092981076


    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/2008/0306", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Physical Chemistry (incl. Structural)", 
            "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, Novosibirsk, Russia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Popov", 
            "givenName": "K. M.", 
            "id": "sg:person.014443462321.06", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014443462321.06"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Novosibirsk State University", 
              "id": "https://www.grid.ac/institutes/grid.4605.7", 
              "name": [
                "Nikolaev Institute of Inorganic Chemistry, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia", 
                "Novosibirsk National Research State University, Novosibirsk, Russia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Fedoseeva", 
            "givenName": "Yu. V.", 
            "id": "sg:person.015651705121.55", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015651705121.55"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Russian Academy of Sciences", 
              "id": "https://www.grid.ac/institutes/grid.4886.2", 
              "name": [
                "Institute of Problems of Hydrocarbon Processing, Siberian Branch, Russian Academy of Sciences, Omsk, Russia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kokhanovskaya", 
            "givenName": "O. A.", 
            "id": "sg:person.07737642041.41", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07737642041.41"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Russian Academy of Sciences", 
              "id": "https://www.grid.ac/institutes/grid.4886.2", 
              "name": [
                "Institute of Problems of Hydrocarbon Processing, Siberian Branch, Russian Academy of Sciences, Omsk, Russia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Razd\u2032yakonova", 
            "givenName": "G. I.", 
            "id": "sg:person.010015236000.03", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010015236000.03"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "TU Dresden", 
              "id": "https://www.grid.ac/institutes/grid.4488.0", 
              "name": [
                "Institute of Solid State Physics, TU Dresden, Dresden, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Smirnov", 
            "givenName": "D. A.", 
            "id": "sg:person.07673635223.02", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07673635223.02"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Novosibirsk State University", 
              "id": "https://www.grid.ac/institutes/grid.4605.7", 
              "name": [
                "Nikolaev Institute of Inorganic Chemistry, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia", 
                "Novosibirsk National Research State University, 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": "Novosibirsk State University", 
              "id": "https://www.grid.ac/institutes/grid.4605.7", 
              "name": [
                "Nikolaev Institute of Inorganic Chemistry, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia", 
                "Novosibirsk National Research State University, 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"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/j.carbon.2010.09.042", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001455868"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.electacta.2013.11.040", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003993360"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jpowsour.2006.02.065", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009331938"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01160810", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012513093", 
              "https://doi.org/10.1007/bf01160810"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01160810", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012513093", 
              "https://doi.org/10.1007/bf01160810"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1039/c6nr03091b", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012633187"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ssc.2007.03.052", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018103421"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/pssb.201600240", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022383157"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0008-6223(95)00120-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023120550"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5012/bkcs.2010.31.12.3697", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027420192"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.polymertesting.2008.08.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028710510"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/anie.198309501", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030503755"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.carbon.2014.05.019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034084579"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.matpr.2016.02.042", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039607715"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0008-6223(00)00183-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042092686"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.apsusc.2016.05.120", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042942174"
            ], 
            "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/ie0604627", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055600059"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ie0604627", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055600059"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1063/1.2139839", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1057839337"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.17725/rensit.2015.07.180", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068447182"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2017-11", 
        "datePublishedReg": "2017-11-01", 
        "description": "The functional composition and electrochemical behavior of the samples of N121 oxidized nanosized technical carbon in aqueous electrolytes are studied. For oxidation a 30% aqueous hydrogen peroxide (H2O2) solution and 2% H2O2 with the addition of singlet oxygen or ozone were used. By means of X-ray photoelectron spectroscopy data and the analysis of the near edge X-ray absorption fine structure the features of the chemical structure of the samples are found. The oxygen concentration did not exceed 5 at.% in the samples. The analysis of cyclic voltammograms reveals that at low scan rates the specific capacitance of the material is determined by the functional composition of the surface. The sample oxidized by 30% H2O2 solution and containing the largest number of\u2013OH and\u2013COOH groups demonstrated the highest capacitance in 6M KOH and in 1\u041c H2SO4 it was the sample with the highest concentration of C=O groups formed during the oxidation with singlet oxygen. The stability of carbon electrodes is studied in supercapacitor models.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1134/s0022476617060178", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1135923", 
            "issn": [
              "0022-4766", 
              "2542-0976"
            ], 
            "name": "Journal of Structural Chemistry", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "6", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "58"
          }
        ], 
        "name": "Functional composition and electrochemical characteristics of oxidized nanosized carbon", 
        "pagination": "1187-1195", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "6627b62c700b86602cf0ca224c9677a70749d59aab8c84f058d21ab2e68ab251"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1134/s0022476617060178"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1092981076"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1134/s0022476617060178", 
          "https://app.dimensions.ai/details/publication/pub.1092981076"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T18:16", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8675_00000493.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1134/S0022476617060178"
      }
    ]
     

    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/s0022476617060178'

    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/s0022476617060178'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s0022476617060178'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s0022476617060178'


     

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

    171 TRIPLES      21 PREDICATES      46 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1134/s0022476617060178 schema:about anzsrc-for:03
    2 anzsrc-for:0306
    3 schema:author N23df442d822547d9aecbdd1ce3f16871
    4 schema:citation sg:pub.10.1007/bf01160810
    5 https://doi.org/10.1002/anie.198309501
    6 https://doi.org/10.1002/pssb.201600240
    7 https://doi.org/10.1002/smll.200500256
    8 https://doi.org/10.1016/0008-6223(95)00120-3
    9 https://doi.org/10.1016/j.apsusc.2016.05.120
    10 https://doi.org/10.1016/j.carbon.2010.09.042
    11 https://doi.org/10.1016/j.carbon.2014.05.019
    12 https://doi.org/10.1016/j.electacta.2013.11.040
    13 https://doi.org/10.1016/j.jpowsour.2006.02.065
    14 https://doi.org/10.1016/j.matpr.2016.02.042
    15 https://doi.org/10.1016/j.polymertesting.2008.08.004
    16 https://doi.org/10.1016/j.ssc.2007.03.052
    17 https://doi.org/10.1016/s0008-6223(00)00183-4
    18 https://doi.org/10.1021/ie0604627
    19 https://doi.org/10.1039/c6nr03091b
    20 https://doi.org/10.1063/1.2139839
    21 https://doi.org/10.17725/rensit.2015.07.180
    22 https://doi.org/10.5012/bkcs.2010.31.12.3697
    23 schema:datePublished 2017-11
    24 schema:datePublishedReg 2017-11-01
    25 schema:description The functional composition and electrochemical behavior of the samples of N121 oxidized nanosized technical carbon in aqueous electrolytes are studied. For oxidation a 30% aqueous hydrogen peroxide (H2O2) solution and 2% H2O2 with the addition of singlet oxygen or ozone were used. By means of X-ray photoelectron spectroscopy data and the analysis of the near edge X-ray absorption fine structure the features of the chemical structure of the samples are found. The oxygen concentration did not exceed 5 at.% in the samples. The analysis of cyclic voltammograms reveals that at low scan rates the specific capacitance of the material is determined by the functional composition of the surface. The sample oxidized by 30% H2O2 solution and containing the largest number of–OH and–COOH groups demonstrated the highest capacitance in 6M KOH and in 1М H2SO4 it was the sample with the highest concentration of C=O groups formed during the oxidation with singlet oxygen. The stability of carbon electrodes is studied in supercapacitor models.
    26 schema:genre research_article
    27 schema:inLanguage en
    28 schema:isAccessibleForFree false
    29 schema:isPartOf N1b410b8927a34c5fb6d873e52d8f4fca
    30 N40ff803fb8cf4085ae4d0091cab04e43
    31 sg:journal.1135923
    32 schema:name Functional composition and electrochemical characteristics of oxidized nanosized carbon
    33 schema:pagination 1187-1195
    34 schema:productId N0e5bd42b6eb748ab9be1e386439e8bbb
    35 N5367c59dc8814e3d8023f0c0fc015ee8
    36 Nb9ed43ae7d6d48ddbd9081466d0051eb
    37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092981076
    38 https://doi.org/10.1134/s0022476617060178
    39 schema:sdDatePublished 2019-04-10T18:16
    40 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    41 schema:sdPublisher N09fa377529f24f29aa06af222a1789fb
    42 schema:url http://link.springer.com/10.1134/S0022476617060178
    43 sgo:license sg:explorer/license/
    44 sgo:sdDataset articles
    45 rdf:type schema:ScholarlyArticle
    46 N09fa377529f24f29aa06af222a1789fb schema:name Springer Nature - SN SciGraph project
    47 rdf:type schema:Organization
    48 N0e5bd42b6eb748ab9be1e386439e8bbb schema:name readcube_id
    49 schema:value 6627b62c700b86602cf0ca224c9677a70749d59aab8c84f058d21ab2e68ab251
    50 rdf:type schema:PropertyValue
    51 N1b410b8927a34c5fb6d873e52d8f4fca schema:issueNumber 6
    52 rdf:type schema:PublicationIssue
    53 N23df442d822547d9aecbdd1ce3f16871 rdf:first sg:person.014443462321.06
    54 rdf:rest Na6c7d6b6a2364fb3928cdef961ed504c
    55 N2b46cdf7902b4fec93bf43f081f0c7fe rdf:first sg:person.07737642041.41
    56 rdf:rest Nc94910767cd445a892199483b809b3a0
    57 N40ff803fb8cf4085ae4d0091cab04e43 schema:volumeNumber 58
    58 rdf:type schema:PublicationVolume
    59 N5367c59dc8814e3d8023f0c0fc015ee8 schema:name dimensions_id
    60 schema:value pub.1092981076
    61 rdf:type schema:PropertyValue
    62 N7dfff4c7639f4fcba5c8b3a226ad7be6 rdf:first sg:person.01211706670.29
    63 rdf:rest rdf:nil
    64 Na6c7d6b6a2364fb3928cdef961ed504c rdf:first sg:person.015651705121.55
    65 rdf:rest N2b46cdf7902b4fec93bf43f081f0c7fe
    66 Nb9ed43ae7d6d48ddbd9081466d0051eb schema:name doi
    67 schema:value 10.1134/s0022476617060178
    68 rdf:type schema:PropertyValue
    69 Nc94910767cd445a892199483b809b3a0 rdf:first sg:person.010015236000.03
    70 rdf:rest Ndbf3ec635de94635a19c941c4948d9b0
    71 Ndbf3ec635de94635a19c941c4948d9b0 rdf:first sg:person.07673635223.02
    72 rdf:rest Nf3082ac512e748e78d3a1df1f0e194c4
    73 Nf3082ac512e748e78d3a1df1f0e194c4 rdf:first sg:person.012243131253.72
    74 rdf:rest N7dfff4c7639f4fcba5c8b3a226ad7be6
    75 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
    76 schema:name Chemical Sciences
    77 rdf:type schema:DefinedTerm
    78 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
    79 schema:name Physical Chemistry (incl. Structural)
    80 rdf:type schema:DefinedTerm
    81 sg:journal.1135923 schema:issn 0022-4766
    82 2542-0976
    83 schema:name Journal of Structural Chemistry
    84 rdf:type schema:Periodical
    85 sg:person.010015236000.03 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
    86 schema:familyName Razd′yakonova
    87 schema:givenName G. I.
    88 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010015236000.03
    89 rdf:type schema:Person
    90 sg:person.01211706670.29 schema:affiliation https://www.grid.ac/institutes/grid.4605.7
    91 schema:familyName Okotrub
    92 schema:givenName A. V.
    93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01211706670.29
    94 rdf:type schema:Person
    95 sg:person.012243131253.72 schema:affiliation https://www.grid.ac/institutes/grid.4605.7
    96 schema:familyName Bulusheva
    97 schema:givenName L. G.
    98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012243131253.72
    99 rdf:type schema:Person
    100 sg:person.014443462321.06 schema:affiliation https://www.grid.ac/institutes/grid.425759.8
    101 schema:familyName Popov
    102 schema:givenName K. M.
    103 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014443462321.06
    104 rdf:type schema:Person
    105 sg:person.015651705121.55 schema:affiliation https://www.grid.ac/institutes/grid.4605.7
    106 schema:familyName Fedoseeva
    107 schema:givenName Yu. V.
    108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015651705121.55
    109 rdf:type schema:Person
    110 sg:person.07673635223.02 schema:affiliation https://www.grid.ac/institutes/grid.4488.0
    111 schema:familyName Smirnov
    112 schema:givenName D. A.
    113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07673635223.02
    114 rdf:type schema:Person
    115 sg:person.07737642041.41 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
    116 schema:familyName Kokhanovskaya
    117 schema:givenName O. A.
    118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07737642041.41
    119 rdf:type schema:Person
    120 sg:pub.10.1007/bf01160810 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012513093
    121 https://doi.org/10.1007/bf01160810
    122 rdf:type schema:CreativeWork
    123 https://doi.org/10.1002/anie.198309501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030503755
    124 rdf:type schema:CreativeWork
    125 https://doi.org/10.1002/pssb.201600240 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022383157
    126 rdf:type schema:CreativeWork
    127 https://doi.org/10.1002/smll.200500256 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046334297
    128 rdf:type schema:CreativeWork
    129 https://doi.org/10.1016/0008-6223(95)00120-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023120550
    130 rdf:type schema:CreativeWork
    131 https://doi.org/10.1016/j.apsusc.2016.05.120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042942174
    132 rdf:type schema:CreativeWork
    133 https://doi.org/10.1016/j.carbon.2010.09.042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001455868
    134 rdf:type schema:CreativeWork
    135 https://doi.org/10.1016/j.carbon.2014.05.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034084579
    136 rdf:type schema:CreativeWork
    137 https://doi.org/10.1016/j.electacta.2013.11.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003993360
    138 rdf:type schema:CreativeWork
    139 https://doi.org/10.1016/j.jpowsour.2006.02.065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009331938
    140 rdf:type schema:CreativeWork
    141 https://doi.org/10.1016/j.matpr.2016.02.042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039607715
    142 rdf:type schema:CreativeWork
    143 https://doi.org/10.1016/j.polymertesting.2008.08.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028710510
    144 rdf:type schema:CreativeWork
    145 https://doi.org/10.1016/j.ssc.2007.03.052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018103421
    146 rdf:type schema:CreativeWork
    147 https://doi.org/10.1016/s0008-6223(00)00183-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042092686
    148 rdf:type schema:CreativeWork
    149 https://doi.org/10.1021/ie0604627 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055600059
    150 rdf:type schema:CreativeWork
    151 https://doi.org/10.1039/c6nr03091b schema:sameAs https://app.dimensions.ai/details/publication/pub.1012633187
    152 rdf:type schema:CreativeWork
    153 https://doi.org/10.1063/1.2139839 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057839337
    154 rdf:type schema:CreativeWork
    155 https://doi.org/10.17725/rensit.2015.07.180 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068447182
    156 rdf:type schema:CreativeWork
    157 https://doi.org/10.5012/bkcs.2010.31.12.3697 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027420192
    158 rdf:type schema:CreativeWork
    159 https://www.grid.ac/institutes/grid.425759.8 schema:alternateName Nikolaev Institute of Inorganic Chemistry
    160 schema:name Nikolaev Institute of Inorganic Chemistry, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
    161 rdf:type schema:Organization
    162 https://www.grid.ac/institutes/grid.4488.0 schema:alternateName TU Dresden
    163 schema:name Institute of Solid State Physics, TU Dresden, Dresden, Germany
    164 rdf:type schema:Organization
    165 https://www.grid.ac/institutes/grid.4605.7 schema:alternateName Novosibirsk State University
    166 schema:name Nikolaev Institute of Inorganic Chemistry, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
    167 Novosibirsk National Research State University, Novosibirsk, Russia
    168 rdf:type schema:Organization
    169 https://www.grid.ac/institutes/grid.4886.2 schema:alternateName Russian Academy of Sciences
    170 schema:name Institute of Problems of Hydrocarbon Processing, Siberian Branch, Russian Academy of Sciences, Omsk, Russia
    171 rdf:type schema:Organization
     




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


    ...