First-principles calculations for alloyed cementite (Fe–Ni)3C View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-07

AUTHORS

L. V. Dobysheva

ABSTRACT

First-principles calculations for the electron structure of cementite doped with Ni are performed. The obtained data for magnetization, local magnetic moments, and parameters of hyperfine interaction at Fe nuclei are compared with those for pure cementite and used to interpret experimental magnetic and Mössbauer data for the alloyed cementite obtained through mechanical alloying with Ni. More... »

PAGES

798-802

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.3103/s1062873817070073

DOI

http://dx.doi.org/10.3103/s1062873817070073

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1091242523


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/2008/0202", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Atomic, Molecular, Nuclear, Particle and Plasma Physics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/02", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Physico-Technical Institute", 
          "id": "https://www.grid.ac/institutes/grid.465392.f", 
          "name": [
            "Physicotechnical Institute, Ural Branch, Russian Academy of Sciences, 426000, Izhevsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dobysheva", 
        "givenName": "L. V.", 
        "id": "sg:person.014574406347.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014574406347.28"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.ssc.2007.12.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001101379"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.solidstatesciences.2011.06.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004677335"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pssb.200642400", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017727168"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.commatsci.2010.05.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022753767"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0953-8984/19/19/196214", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028627166"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s1063783408110152", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032591102", 
          "https://doi.org/10.1134/s1063783408110152"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3103/s1062873807090134", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033101387", 
          "https://doi.org/10.3103/s1062873807090134"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s106378340701012x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033229819", 
          "https://doi.org/10.1134/s106378340701012x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3103/s106287381306004x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034999327", 
          "https://doi.org/10.3103/s106287381306004x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jallcom.2014.11.090", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042402248"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10751-010-0181-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045091447", 
          "https://doi.org/10.1007/s10751-010-0181-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmmm.2005.05.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050598223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.68.024407", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060606898"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.68.024407", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060606898"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.15.258", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060768254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.15.258", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060768254"
        ], 
        "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/10.1143/jpsj.37.940", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063101237"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1143/jpsj.39.915", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063101868"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-07", 
    "datePublishedReg": "2017-07-01", 
    "description": "First-principles calculations for the electron structure of cementite doped with Ni are performed. The obtained data for magnetization, local magnetic moments, and parameters of hyperfine interaction at Fe nuclei are compared with those for pure cementite and used to interpret experimental magnetic and M\u00f6ssbauer data for the alloyed cementite obtained through mechanical alloying with Ni.", 
    "genre": "research_article", 
    "id": "sg:pub.10.3103/s1062873817070073", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136440", 
        "issn": [
          "1062-8738", 
          "1934-9432"
        ], 
        "name": "Bulletin of the Russian Academy of Sciences: Physics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "7", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "81"
      }
    ], 
    "name": "First-principles calculations for alloyed cementite (Fe\u2013Ni)3C", 
    "pagination": "798-802", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "c68993ebae95dddfd4a30d351043adefd5828f18015fe784c6790584bb513f27"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.3103/s1062873817070073"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1091242523"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.3103/s1062873817070073", 
      "https://app.dimensions.ai/details/publication/pub.1091242523"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T22:27", 
    "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_8690_00000493.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.3103/S1062873817070073"
  }
]
 

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.10.3103/s1062873817070073'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.3103/s1062873817070073'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.3103/s1062873817070073'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.3103/s1062873817070073'


 

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

117 TRIPLES      21 PREDICATES      44 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.3103/s1062873817070073 schema:about anzsrc-for:02
2 anzsrc-for:0202
3 schema:author N6f40e4255c304579afd914353290f770
4 schema:citation sg:pub.10.1007/s10751-010-0181-8
5 sg:pub.10.1134/s106378340701012x
6 sg:pub.10.1134/s1063783408110152
7 sg:pub.10.3103/s1062873807090134
8 sg:pub.10.3103/s106287381306004x
9 https://doi.org/10.1002/pssb.200642400
10 https://doi.org/10.1016/j.commatsci.2010.05.016
11 https://doi.org/10.1016/j.jallcom.2014.11.090
12 https://doi.org/10.1016/j.jmmm.2005.05.021
13 https://doi.org/10.1016/j.solidstatesciences.2011.06.004
14 https://doi.org/10.1016/j.ssc.2007.12.028
15 https://doi.org/10.1088/0953-8984/19/19/196214
16 https://doi.org/10.1103/physrevb.68.024407
17 https://doi.org/10.1103/physrevlett.15.258
18 https://doi.org/10.1103/physrevlett.77.3865
19 https://doi.org/10.1143/jpsj.37.940
20 https://doi.org/10.1143/jpsj.39.915
21 schema:datePublished 2017-07
22 schema:datePublishedReg 2017-07-01
23 schema:description First-principles calculations for the electron structure of cementite doped with Ni are performed. The obtained data for magnetization, local magnetic moments, and parameters of hyperfine interaction at Fe nuclei are compared with those for pure cementite and used to interpret experimental magnetic and Mössbauer data for the alloyed cementite obtained through mechanical alloying with Ni.
24 schema:genre research_article
25 schema:inLanguage en
26 schema:isAccessibleForFree false
27 schema:isPartOf N2e42a206025c466aa5fe96798f0f7963
28 N3b89cd5456d14dffb3c6f11ed727bc32
29 sg:journal.1136440
30 schema:name First-principles calculations for alloyed cementite (Fe–Ni)3C
31 schema:pagination 798-802
32 schema:productId N752a4439adc746e8b0a21ddec762799d
33 N888e458197c54880aeccb067ca6f0b28
34 Na4cb584f9f0b4504a27e1dfef536a6d7
35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091242523
36 https://doi.org/10.3103/s1062873817070073
37 schema:sdDatePublished 2019-04-10T22:27
38 schema:sdLicense https://scigraph.springernature.com/explorer/license/
39 schema:sdPublisher N880eb8dc4a2146e78a21e7d675261dea
40 schema:url http://link.springer.com/10.3103/S1062873817070073
41 sgo:license sg:explorer/license/
42 sgo:sdDataset articles
43 rdf:type schema:ScholarlyArticle
44 N2e42a206025c466aa5fe96798f0f7963 schema:volumeNumber 81
45 rdf:type schema:PublicationVolume
46 N3b89cd5456d14dffb3c6f11ed727bc32 schema:issueNumber 7
47 rdf:type schema:PublicationIssue
48 N6f40e4255c304579afd914353290f770 rdf:first sg:person.014574406347.28
49 rdf:rest rdf:nil
50 N752a4439adc746e8b0a21ddec762799d schema:name readcube_id
51 schema:value c68993ebae95dddfd4a30d351043adefd5828f18015fe784c6790584bb513f27
52 rdf:type schema:PropertyValue
53 N880eb8dc4a2146e78a21e7d675261dea schema:name Springer Nature - SN SciGraph project
54 rdf:type schema:Organization
55 N888e458197c54880aeccb067ca6f0b28 schema:name dimensions_id
56 schema:value pub.1091242523
57 rdf:type schema:PropertyValue
58 Na4cb584f9f0b4504a27e1dfef536a6d7 schema:name doi
59 schema:value 10.3103/s1062873817070073
60 rdf:type schema:PropertyValue
61 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
62 schema:name Physical Sciences
63 rdf:type schema:DefinedTerm
64 anzsrc-for:0202 schema:inDefinedTermSet anzsrc-for:
65 schema:name Atomic, Molecular, Nuclear, Particle and Plasma Physics
66 rdf:type schema:DefinedTerm
67 sg:journal.1136440 schema:issn 1062-8738
68 1934-9432
69 schema:name Bulletin of the Russian Academy of Sciences: Physics
70 rdf:type schema:Periodical
71 sg:person.014574406347.28 schema:affiliation https://www.grid.ac/institutes/grid.465392.f
72 schema:familyName Dobysheva
73 schema:givenName L. V.
74 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014574406347.28
75 rdf:type schema:Person
76 sg:pub.10.1007/s10751-010-0181-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045091447
77 https://doi.org/10.1007/s10751-010-0181-8
78 rdf:type schema:CreativeWork
79 sg:pub.10.1134/s106378340701012x schema:sameAs https://app.dimensions.ai/details/publication/pub.1033229819
80 https://doi.org/10.1134/s106378340701012x
81 rdf:type schema:CreativeWork
82 sg:pub.10.1134/s1063783408110152 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032591102
83 https://doi.org/10.1134/s1063783408110152
84 rdf:type schema:CreativeWork
85 sg:pub.10.3103/s1062873807090134 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033101387
86 https://doi.org/10.3103/s1062873807090134
87 rdf:type schema:CreativeWork
88 sg:pub.10.3103/s106287381306004x schema:sameAs https://app.dimensions.ai/details/publication/pub.1034999327
89 https://doi.org/10.3103/s106287381306004x
90 rdf:type schema:CreativeWork
91 https://doi.org/10.1002/pssb.200642400 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017727168
92 rdf:type schema:CreativeWork
93 https://doi.org/10.1016/j.commatsci.2010.05.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022753767
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1016/j.jallcom.2014.11.090 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042402248
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1016/j.jmmm.2005.05.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050598223
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1016/j.solidstatesciences.2011.06.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004677335
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1016/j.ssc.2007.12.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001101379
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1088/0953-8984/19/19/196214 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028627166
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1103/physrevb.68.024407 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060606898
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1103/physrevlett.15.258 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060768254
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1103/physrevlett.77.3865 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060814179
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1143/jpsj.37.940 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063101237
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1143/jpsj.39.915 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063101868
114 rdf:type schema:CreativeWork
115 https://www.grid.ac/institutes/grid.465392.f schema:alternateName Physico-Technical Institute
116 schema:name Physicotechnical Institute, Ural Branch, Russian Academy of Sciences, 426000, Izhevsk, Russia
117 rdf:type schema:Organization
 




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


...