Structure and properties of nanocomposite Mo—Si—B—(N) coatings View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-09

AUTHORS

Ph. V. Kiryukhantsev-Korneev, A. V. Bondarev, D. V. Shtansky, E. A. Levashov

ABSTRACT

Coatings in the Mo—Si—B—(N) system are obtained using the magnetron sputtering method. Control of nitrogen and silicon content in the coatings is carried out using various gaseous Ar + N2 mixtures and variation of the number of Si segments in the area of MoSiB target erosion. The structure of coatings is studied using methods of scanning and transmission electron microscopy, X-ray analysis, infrared and optical emission spectroscopy, and Raman spectroscopy. Mechanical and tribological properties of the coatings are determined using methods of nanoindentation, scratch-testing, and tribological testing at temperatures of 25, 500, and 700°C. The oxidation resistance of coatings is studied. It is established that coatings with maximum Si and N content possess the best properties: hardness of 32 GPa, elastic recovery of 66%, low friction coefficient at high temperatures, and heat resistance up to 1200°C. More... »

PAGES

794-802

References to SciGraph publications

  • 2003-07. Preparation and Characterization of Molybdenum Oxide Thin Films by Sol-Gel Process in JOURNAL OF SOL-GEL SCIENCE AND TECHNOLOGY
  • 2012-09. Elemental analysis of coatings by high-frequency glow discharge optical emission spectroscopy in PROTECTION OF METALS AND PHYSICAL CHEMISTRY OF SURFACES
  • 2007-08. Effect of Al, Si, and Cr on the thermal stability and high-temperature oxidation resistance of coatings based on titanium boronitride in PHYSICS OF METALS AND METALLOGRAPHY
  • 2013-11. Ti-Cr-B-N coatings prepared by pulsed cathodic-arc evaporation of ceramic TiCrB target produced by SHS in PROTECTION OF METALS AND PHYSICAL CHEMISTRY OF SURFACES
  • 2010-09. Nanostructural wear-resistant coatings produced on metal-cutting tools by electric-arc evaporation and magnetronic sputtering in RUSSIAN ENGINEERING RESEARCH
  • 2010-10. Multifunctional nanostructured coatings: Formation, structure, and the uniformity of measuring their mechanical and tribological properties in RUSSIAN METALLURGY (METALLY)
  • 1998-01. The Structure and Properties of Ti–B–N, Ti–Si–B–N, Ti–Si–C–N, and Ti–Al–C–N Coatings Deposited by Magnetron Sputtering Using Composite Targets Produced by Self-Propagating High-Temperature Synthesis (SHS) in JOURNAL OF MATERIALS SYNTHESIS AND PROCESSING
  • 2003-06. Structure and physical-mechanical properties of nanostructured thin films in PHYSICS OF THE SOLID STATE
  • 1999-05. Optimization of PVD Parameters for the Deposition of Ultrahard Ti–Si–B–N Coatings in JOURNAL OF MATERIALS SYNTHESIS AND PROCESSING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1134/s2070205115050160

    DOI

    http://dx.doi.org/10.1134/s2070205115050160

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1026369898


    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": "National University of Science and Technology", 
              "id": "https://www.grid.ac/institutes/grid.35043.31", 
              "name": [
                "National University of Science and Technology MISiS, Leninsky pr. 4, 119049, Moscow, Russia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kiryukhantsev-Korneev", 
            "givenName": "Ph. V.", 
            "id": "sg:person.012132657251.51", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012132657251.51"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "National University of Science and Technology", 
              "id": "https://www.grid.ac/institutes/grid.35043.31", 
              "name": [
                "National University of Science and Technology MISiS, Leninsky pr. 4, 119049, Moscow, Russia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bondarev", 
            "givenName": "A. V.", 
            "id": "sg:person.010256305141.47", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010256305141.47"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "National University of Science and Technology", 
              "id": "https://www.grid.ac/institutes/grid.35043.31", 
              "name": [
                "National University of Science and Technology MISiS, Leninsky pr. 4, 119049, Moscow, Russia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Shtansky", 
            "givenName": "D. V.", 
            "id": "sg:person.0604121561.73", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0604121561.73"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "National University of Science and Technology", 
              "id": "https://www.grid.ac/institutes/grid.35043.31", 
              "name": [
                "National University of Science and Technology MISiS, Leninsky pr. 4, 119049, Moscow, Russia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Levashov", 
            "givenName": "E. A.", 
            "id": "sg:person.016454247245.56", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016454247245.56"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.3103/s1068798x10090133", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000467261", 
              "https://doi.org/10.3103/s1068798x10090133"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.3103/s1068798x10090133", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000467261", 
              "https://doi.org/10.3103/s1068798x10090133"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.surfcoat.2009.11.016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001417466"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.matdes.2013.05.052", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001680263"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1134/s207020511205005x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001922816", 
              "https://doi.org/10.1134/s207020511205005x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0257-8972(03)00702-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005796039"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0257-8972(03)00702-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005796039"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ceramint.2013.11.107", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007143010"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.surfcoat.2011.04.012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009468651"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijrmhm.2012.03.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009933062"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0042-207x(99)00145-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012324892"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.matchemphys.2011.08.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012692406"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1024021003825", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016481109", 
              "https://doi.org/10.1023/a:1024021003825"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.triboint.2014.04.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016907094"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1134/s2070205113060075", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019168053", 
              "https://doi.org/10.1134/s2070205113060075"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.materresbull.2009.06.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019245533"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1134/s0036029510100113", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021578410", 
              "https://doi.org/10.1134/s0036029510100113"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tsf.2010.08.080", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022213198"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.vacuum.2008.03.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026626840"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0043-1648(01)00582-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028304724"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.surfcoat.2004.07.119", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028707870"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1134/s0031918x07080091", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029611627", 
              "https://doi.org/10.1134/s0031918x07080091"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.surfcoat.2006.08.048", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034542387"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1134/1.1583811", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036916880", 
              "https://doi.org/10.1134/1.1583811"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1022663210694", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043285326", 
              "https://doi.org/10.1023/a:1022663210694"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tsf.2012.10.116", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046214662"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0040-6090(97)00069-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046925002"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tsf.2009.03.038", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049653208"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1021873314381", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049969819", 
              "https://doi.org/10.1023/a:1021873314381"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.diamond.2013.02.010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051599781"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.materresbull.2008.03.029", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051698456"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.surfcoat.2010.11.058", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052139477"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.solener.2012.01.021", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052371489"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/s1431927613012282", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1054928653"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1116/1.1947798", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062170712"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1116/1.1947798", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062170712"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4028/www.scientific.net/ssp.127.31", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072153238"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2015-09", 
        "datePublishedReg": "2015-09-01", 
        "description": "Coatings in the Mo\u2014Si\u2014B\u2014(N) system are obtained using the magnetron sputtering method. Control of nitrogen and silicon content in the coatings is carried out using various gaseous Ar + N2 mixtures and variation of the number of Si segments in the area of MoSiB target erosion. The structure of coatings is studied using methods of scanning and transmission electron microscopy, X-ray analysis, infrared and optical emission spectroscopy, and Raman spectroscopy. Mechanical and tribological properties of the coatings are determined using methods of nanoindentation, scratch-testing, and tribological testing at temperatures of 25, 500, and 700\u00b0C. The oxidation resistance of coatings is studied. It is established that coatings with maximum Si and N content possess the best properties: hardness of 32 GPa, elastic recovery of 66%, low friction coefficient at high temperatures, and heat resistance up to 1200\u00b0C.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1134/s2070205115050160", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1136666", 
            "issn": [
              "2070-2051", 
              "2070-206X"
            ], 
            "name": "Protection of Metals and Physical Chemistry of Surfaces", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "5", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "51"
          }
        ], 
        "name": "Structure and properties of nanocomposite Mo\u2014Si\u2014B\u2014(N) coatings", 
        "pagination": "794-802", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "7da00cf9c82418c2e7589fa18133004642adf78e0e31c0f141f67158208191fe"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1134/s2070205115050160"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1026369898"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1134/s2070205115050160", 
          "https://app.dimensions.ai/details/publication/pub.1026369898"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T00:14", 
        "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_8695_00000505.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1134%2FS2070205115050160"
      }
    ]
     

    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/s2070205115050160'

    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/s2070205115050160'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s2070205115050160'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s2070205115050160'


     

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

    193 TRIPLES      21 PREDICATES      61 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1134/s2070205115050160 schema:about anzsrc-for:09
    2 anzsrc-for:0912
    3 schema:author Nfc9658ef999342fe90e680b77f66ccfa
    4 schema:citation sg:pub.10.1023/a:1021873314381
    5 sg:pub.10.1023/a:1022663210694
    6 sg:pub.10.1023/a:1024021003825
    7 sg:pub.10.1134/1.1583811
    8 sg:pub.10.1134/s0031918x07080091
    9 sg:pub.10.1134/s0036029510100113
    10 sg:pub.10.1134/s207020511205005x
    11 sg:pub.10.1134/s2070205113060075
    12 sg:pub.10.3103/s1068798x10090133
    13 https://doi.org/10.1016/j.ceramint.2013.11.107
    14 https://doi.org/10.1016/j.diamond.2013.02.010
    15 https://doi.org/10.1016/j.ijrmhm.2012.03.002
    16 https://doi.org/10.1016/j.matchemphys.2011.08.002
    17 https://doi.org/10.1016/j.matdes.2013.05.052
    18 https://doi.org/10.1016/j.materresbull.2008.03.029
    19 https://doi.org/10.1016/j.materresbull.2009.06.013
    20 https://doi.org/10.1016/j.solener.2012.01.021
    21 https://doi.org/10.1016/j.surfcoat.2004.07.119
    22 https://doi.org/10.1016/j.surfcoat.2006.08.048
    23 https://doi.org/10.1016/j.surfcoat.2009.11.016
    24 https://doi.org/10.1016/j.surfcoat.2010.11.058
    25 https://doi.org/10.1016/j.surfcoat.2011.04.012
    26 https://doi.org/10.1016/j.triboint.2014.04.006
    27 https://doi.org/10.1016/j.tsf.2009.03.038
    28 https://doi.org/10.1016/j.tsf.2010.08.080
    29 https://doi.org/10.1016/j.tsf.2012.10.116
    30 https://doi.org/10.1016/j.vacuum.2008.03.015
    31 https://doi.org/10.1016/s0040-6090(97)00069-2
    32 https://doi.org/10.1016/s0042-207x(99)00145-1
    33 https://doi.org/10.1016/s0043-1648(01)00582-8
    34 https://doi.org/10.1016/s0257-8972(03)00702-3
    35 https://doi.org/10.1017/s1431927613012282
    36 https://doi.org/10.1116/1.1947798
    37 https://doi.org/10.4028/www.scientific.net/ssp.127.31
    38 schema:datePublished 2015-09
    39 schema:datePublishedReg 2015-09-01
    40 schema:description Coatings in the Mo—Si—B—(N) system are obtained using the magnetron sputtering method. Control of nitrogen and silicon content in the coatings is carried out using various gaseous Ar + N2 mixtures and variation of the number of Si segments in the area of MoSiB target erosion. The structure of coatings is studied using methods of scanning and transmission electron microscopy, X-ray analysis, infrared and optical emission spectroscopy, and Raman spectroscopy. Mechanical and tribological properties of the coatings are determined using methods of nanoindentation, scratch-testing, and tribological testing at temperatures of 25, 500, and 700°C. The oxidation resistance of coatings is studied. It is established that coatings with maximum Si and N content possess the best properties: hardness of 32 GPa, elastic recovery of 66%, low friction coefficient at high temperatures, and heat resistance up to 1200°C.
    41 schema:genre research_article
    42 schema:inLanguage en
    43 schema:isAccessibleForFree false
    44 schema:isPartOf N5d355de2aff0495391fc2ffde8f4a290
    45 Nad264d7843284554b1ba0e25d6fa732a
    46 sg:journal.1136666
    47 schema:name Structure and properties of nanocomposite Mo—Si—B—(N) coatings
    48 schema:pagination 794-802
    49 schema:productId N369845876dc74be086d5bf64b6862783
    50 N9d1426ee16df4a8db2d81ad02883cd32
    51 Nf62864daf80745ff84b87791d1b8be8a
    52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026369898
    53 https://doi.org/10.1134/s2070205115050160
    54 schema:sdDatePublished 2019-04-11T00:14
    55 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    56 schema:sdPublisher Ne71e8dda5e5d4c679627e4a40f04f562
    57 schema:url http://link.springer.com/10.1134%2FS2070205115050160
    58 sgo:license sg:explorer/license/
    59 sgo:sdDataset articles
    60 rdf:type schema:ScholarlyArticle
    61 N369845876dc74be086d5bf64b6862783 schema:name doi
    62 schema:value 10.1134/s2070205115050160
    63 rdf:type schema:PropertyValue
    64 N49c8506702a54c27aa2d83cc207aa8f1 rdf:first sg:person.016454247245.56
    65 rdf:rest rdf:nil
    66 N5b72bfd34ac34de7b119fc5979d57e39 rdf:first sg:person.0604121561.73
    67 rdf:rest N49c8506702a54c27aa2d83cc207aa8f1
    68 N5d355de2aff0495391fc2ffde8f4a290 schema:volumeNumber 51
    69 rdf:type schema:PublicationVolume
    70 N9be678113e1a461aa542d0e910ee452a rdf:first sg:person.010256305141.47
    71 rdf:rest N5b72bfd34ac34de7b119fc5979d57e39
    72 N9d1426ee16df4a8db2d81ad02883cd32 schema:name readcube_id
    73 schema:value 7da00cf9c82418c2e7589fa18133004642adf78e0e31c0f141f67158208191fe
    74 rdf:type schema:PropertyValue
    75 Nad264d7843284554b1ba0e25d6fa732a schema:issueNumber 5
    76 rdf:type schema:PublicationIssue
    77 Ne71e8dda5e5d4c679627e4a40f04f562 schema:name Springer Nature - SN SciGraph project
    78 rdf:type schema:Organization
    79 Nf62864daf80745ff84b87791d1b8be8a schema:name dimensions_id
    80 schema:value pub.1026369898
    81 rdf:type schema:PropertyValue
    82 Nfc9658ef999342fe90e680b77f66ccfa rdf:first sg:person.012132657251.51
    83 rdf:rest N9be678113e1a461aa542d0e910ee452a
    84 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
    85 schema:name Engineering
    86 rdf:type schema:DefinedTerm
    87 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
    88 schema:name Materials Engineering
    89 rdf:type schema:DefinedTerm
    90 sg:journal.1136666 schema:issn 2070-2051
    91 2070-206X
    92 schema:name Protection of Metals and Physical Chemistry of Surfaces
    93 rdf:type schema:Periodical
    94 sg:person.010256305141.47 schema:affiliation https://www.grid.ac/institutes/grid.35043.31
    95 schema:familyName Bondarev
    96 schema:givenName A. V.
    97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010256305141.47
    98 rdf:type schema:Person
    99 sg:person.012132657251.51 schema:affiliation https://www.grid.ac/institutes/grid.35043.31
    100 schema:familyName Kiryukhantsev-Korneev
    101 schema:givenName Ph. V.
    102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012132657251.51
    103 rdf:type schema:Person
    104 sg:person.016454247245.56 schema:affiliation https://www.grid.ac/institutes/grid.35043.31
    105 schema:familyName Levashov
    106 schema:givenName E. A.
    107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016454247245.56
    108 rdf:type schema:Person
    109 sg:person.0604121561.73 schema:affiliation https://www.grid.ac/institutes/grid.35043.31
    110 schema:familyName Shtansky
    111 schema:givenName D. V.
    112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0604121561.73
    113 rdf:type schema:Person
    114 sg:pub.10.1023/a:1021873314381 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049969819
    115 https://doi.org/10.1023/a:1021873314381
    116 rdf:type schema:CreativeWork
    117 sg:pub.10.1023/a:1022663210694 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043285326
    118 https://doi.org/10.1023/a:1022663210694
    119 rdf:type schema:CreativeWork
    120 sg:pub.10.1023/a:1024021003825 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016481109
    121 https://doi.org/10.1023/a:1024021003825
    122 rdf:type schema:CreativeWork
    123 sg:pub.10.1134/1.1583811 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036916880
    124 https://doi.org/10.1134/1.1583811
    125 rdf:type schema:CreativeWork
    126 sg:pub.10.1134/s0031918x07080091 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029611627
    127 https://doi.org/10.1134/s0031918x07080091
    128 rdf:type schema:CreativeWork
    129 sg:pub.10.1134/s0036029510100113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021578410
    130 https://doi.org/10.1134/s0036029510100113
    131 rdf:type schema:CreativeWork
    132 sg:pub.10.1134/s207020511205005x schema:sameAs https://app.dimensions.ai/details/publication/pub.1001922816
    133 https://doi.org/10.1134/s207020511205005x
    134 rdf:type schema:CreativeWork
    135 sg:pub.10.1134/s2070205113060075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019168053
    136 https://doi.org/10.1134/s2070205113060075
    137 rdf:type schema:CreativeWork
    138 sg:pub.10.3103/s1068798x10090133 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000467261
    139 https://doi.org/10.3103/s1068798x10090133
    140 rdf:type schema:CreativeWork
    141 https://doi.org/10.1016/j.ceramint.2013.11.107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007143010
    142 rdf:type schema:CreativeWork
    143 https://doi.org/10.1016/j.diamond.2013.02.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051599781
    144 rdf:type schema:CreativeWork
    145 https://doi.org/10.1016/j.ijrmhm.2012.03.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009933062
    146 rdf:type schema:CreativeWork
    147 https://doi.org/10.1016/j.matchemphys.2011.08.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012692406
    148 rdf:type schema:CreativeWork
    149 https://doi.org/10.1016/j.matdes.2013.05.052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001680263
    150 rdf:type schema:CreativeWork
    151 https://doi.org/10.1016/j.materresbull.2008.03.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051698456
    152 rdf:type schema:CreativeWork
    153 https://doi.org/10.1016/j.materresbull.2009.06.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019245533
    154 rdf:type schema:CreativeWork
    155 https://doi.org/10.1016/j.solener.2012.01.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052371489
    156 rdf:type schema:CreativeWork
    157 https://doi.org/10.1016/j.surfcoat.2004.07.119 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028707870
    158 rdf:type schema:CreativeWork
    159 https://doi.org/10.1016/j.surfcoat.2006.08.048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034542387
    160 rdf:type schema:CreativeWork
    161 https://doi.org/10.1016/j.surfcoat.2009.11.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001417466
    162 rdf:type schema:CreativeWork
    163 https://doi.org/10.1016/j.surfcoat.2010.11.058 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052139477
    164 rdf:type schema:CreativeWork
    165 https://doi.org/10.1016/j.surfcoat.2011.04.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009468651
    166 rdf:type schema:CreativeWork
    167 https://doi.org/10.1016/j.triboint.2014.04.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016907094
    168 rdf:type schema:CreativeWork
    169 https://doi.org/10.1016/j.tsf.2009.03.038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049653208
    170 rdf:type schema:CreativeWork
    171 https://doi.org/10.1016/j.tsf.2010.08.080 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022213198
    172 rdf:type schema:CreativeWork
    173 https://doi.org/10.1016/j.tsf.2012.10.116 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046214662
    174 rdf:type schema:CreativeWork
    175 https://doi.org/10.1016/j.vacuum.2008.03.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026626840
    176 rdf:type schema:CreativeWork
    177 https://doi.org/10.1016/s0040-6090(97)00069-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046925002
    178 rdf:type schema:CreativeWork
    179 https://doi.org/10.1016/s0042-207x(99)00145-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012324892
    180 rdf:type schema:CreativeWork
    181 https://doi.org/10.1016/s0043-1648(01)00582-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028304724
    182 rdf:type schema:CreativeWork
    183 https://doi.org/10.1016/s0257-8972(03)00702-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005796039
    184 rdf:type schema:CreativeWork
    185 https://doi.org/10.1017/s1431927613012282 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054928653
    186 rdf:type schema:CreativeWork
    187 https://doi.org/10.1116/1.1947798 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062170712
    188 rdf:type schema:CreativeWork
    189 https://doi.org/10.4028/www.scientific.net/ssp.127.31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072153238
    190 rdf:type schema:CreativeWork
    191 https://www.grid.ac/institutes/grid.35043.31 schema:alternateName National University of Science and Technology
    192 schema:name National University of Science and Technology MISiS, Leninsky pr. 4, 119049, Moscow, Russia
    193 rdf:type schema:Organization
     




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


    ...