Chemical vapor transport as a means of controlling the composition of condensed phases View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2004-01

AUTHORS

A. Yu. Zavrazhnov, I. D. Zartsyn, D. N. Turchen, A. V. Naumov, V. P. Zlomanov

ABSTRACT

A new method is proposed for controlling the composition (nonstoichiometry) of low-volatile inorganic compounds. The basic principle of the method is the introduction (or removal) of one of the components into the low-volatile compound using reversible selective chemical vapor transport (CVT). Theoretical analysis is used to identify the process parameters determining the direction of mass transport: source temperature T1, source composition x1, and sample temperature T2. Using nonequilibrium thermodynamics concepts, steadystate conditions are found under which mass transport ceases. A new type of phase diagram, x2-T1-T2, is proposed, which describes the state of CVT systems under steady-state conditions without mass transport. The CVT process is used to prepare GaSe crystals with different deviations from stoichiometry. The crystals are characterized using x-ray diffraction and cathodoluminescence spectroscopy. The stability regions of two GaSe polytypes in the T-x phase diagram are located. CVT is used to control the compositions of phases in the In-S system. The advantages of the CVT method are analyzed with application to control over the composition of inorganic compounds. More... »

PAGES

s101-s127

References to SciGraph publications

  • 1963. Thermodynamik der Irreversiblen Prozesse in NONE
  • 1983-10. Photoconduction in anodic Al2O3 films in the (3.0–6.2) eV range in JOURNAL OF MATERIALS SCIENCE LETTERS
  • 2001-08-01. Manometric method for the study of P-T-X diagrams in JOURNAL OF PHASE EQUILIBRIA AND DIFFUSION
  • 1977. III–VI Compounds in PREPARATION AND CRYSTAL GROWTH OF MATERIALS WITH LAYERED STRUCTURES
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10789-005-0056-6

    DOI

    http://dx.doi.org/10.1007/s10789-005-0056-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1005687369


    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/2008/03", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Chemical Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0301", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Analytical Chemistry", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Voronezh State University, Universitetskaya pl. 1, 394006, Voronezh, Russia", 
              "id": "http://www.grid.ac/institutes/grid.20567.36", 
              "name": [
                "Voronezh State University, Universitetskaya pl. 1, 394006, Voronezh, Russia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zavrazhnov", 
            "givenName": "A. Yu.", 
            "id": "sg:person.012120435347.50", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012120435347.50"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Voronezh State University, Universitetskaya pl. 1, 394006, Voronezh, Russia", 
              "id": "http://www.grid.ac/institutes/grid.20567.36", 
              "name": [
                "Voronezh State University, Universitetskaya pl. 1, 394006, Voronezh, Russia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zartsyn", 
            "givenName": "I. D.", 
            "id": "sg:person.014217120611.12", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014217120611.12"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Voronezh State University, Universitetskaya pl. 1, 394006, Voronezh, Russia", 
              "id": "http://www.grid.ac/institutes/grid.20567.36", 
              "name": [
                "Voronezh State University, Universitetskaya pl. 1, 394006, Voronezh, Russia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Turchen", 
            "givenName": "D. N.", 
            "id": "sg:person.016662551051.12", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016662551051.12"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Voronezh State University, Universitetskaya pl. 1, 394006, Voronezh, Russia", 
              "id": "http://www.grid.ac/institutes/grid.20567.36", 
              "name": [
                "Voronezh State University, Universitetskaya pl. 1, 394006, Voronezh, Russia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Naumov", 
            "givenName": "A. V.", 
            "id": "sg:person.015125511201.73", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015125511201.73"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Moscow State University, 119899, Moscow, Russia", 
              "id": "http://www.grid.ac/institutes/grid.14476.30", 
              "name": [
                "Moscow State University, 119899, Moscow, Russia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zlomanov", 
            "givenName": "V. P.", 
            "id": "sg:person.012455443543.35", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012455443543.35"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1361/105497101770333063", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031438350", 
              "https://doi.org/10.1361/105497101770333063"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00719862", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033582374", 
              "https://doi.org/10.1007/bf00719862"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-017-2750-1_5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035244443", 
              "https://doi.org/10.1007/978-94-017-2750-1_5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-88485-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007495059", 
              "https://doi.org/10.1007/978-3-642-88485-6"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2004-01", 
        "datePublishedReg": "2004-01-01", 
        "description": "A new method is proposed for controlling the composition (nonstoichiometry) of low-volatile inorganic compounds. The basic principle of the method is the introduction (or removal) of one of the components into the low-volatile compound using reversible selective chemical vapor transport (CVT). Theoretical analysis is used to identify the process parameters determining the direction of mass transport: source temperature T1, source composition x1, and sample temperature T2. Using nonequilibrium thermodynamics concepts, steadystate conditions are found under which mass transport ceases. A new type of phase diagram, x2-T1-T2, is proposed, which describes the state of CVT systems under steady-state conditions without mass transport. The CVT process is used to prepare GaSe crystals with different deviations from stoichiometry. The crystals are characterized using x-ray diffraction and cathodoluminescence spectroscopy. The stability regions of two GaSe polytypes in the T-x phase diagram are located. CVT is used to control the compositions of phases in the In-S system. The advantages of the CVT method are analyzed with application to control over the composition of inorganic compounds.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s10789-005-0056-6", 
        "inLanguage": "en", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1297638", 
            "issn": [
              "0020-1685", 
              "1608-3172"
            ], 
            "name": "Inorganic Materials", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "Suppl 2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "40"
          }
        ], 
        "keywords": [
          "chemical vapor transport", 
          "inorganic compounds", 
          "mass transport", 
          "low volatile compounds", 
          "phase diagram", 
          "CVT process", 
          "ray diffraction", 
          "cathodoluminescence spectroscopy", 
          "GaSe crystals", 
          "vapor transport", 
          "compounds", 
          "GaSe polytype", 
          "CVT method", 
          "crystals", 
          "composition of phases", 
          "temperature T1", 
          "spectroscopy", 
          "composition", 
          "temperature T2", 
          "diffraction", 
          "new type", 
          "stoichiometry", 
          "steady-state conditions", 
          "thermodynamic concepts", 
          "steadystate conditions", 
          "diagram", 
          "theoretical analysis", 
          "transport", 
          "phase", 
          "stability region", 
          "basic principles", 
          "new method", 
          "polytypes", 
          "process parameters", 
          "method", 
          "different deviations", 
          "state", 
          "In", 
          "conditions", 
          "applications", 
          "direction", 
          "T2", 
          "system", 
          "parameters", 
          "process", 
          "deviation", 
          "introduction", 
          "region", 
          "CVT system", 
          "principles", 
          "advantages", 
          "means", 
          "T1", 
          "components", 
          "analysis", 
          "types", 
          "X1", 
          "concept"
        ], 
        "name": "Chemical vapor transport as a means of controlling the composition of condensed phases", 
        "pagination": "s101-s127", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1005687369"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10789-005-0056-6"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10789-005-0056-6", 
          "https://app.dimensions.ai/details/publication/pub.1005687369"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-05-20T07:22", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_386.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s10789-005-0056-6"
      }
    ]
     

    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.10.1007/s10789-005-0056-6'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10789-005-0056-6'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10789-005-0056-6'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10789-005-0056-6'


     

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

    163 TRIPLES      22 PREDICATES      88 URIs      76 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10789-005-0056-6 schema:about anzsrc-for:03
    2 anzsrc-for:0301
    3 schema:author N29acaeaa15634f19b7727a883bd79cfe
    4 schema:citation sg:pub.10.1007/978-3-642-88485-6
    5 sg:pub.10.1007/978-94-017-2750-1_5
    6 sg:pub.10.1007/bf00719862
    7 sg:pub.10.1361/105497101770333063
    8 schema:datePublished 2004-01
    9 schema:datePublishedReg 2004-01-01
    10 schema:description A new method is proposed for controlling the composition (nonstoichiometry) of low-volatile inorganic compounds. The basic principle of the method is the introduction (or removal) of one of the components into the low-volatile compound using reversible selective chemical vapor transport (CVT). Theoretical analysis is used to identify the process parameters determining the direction of mass transport: source temperature T1, source composition x1, and sample temperature T2. Using nonequilibrium thermodynamics concepts, steadystate conditions are found under which mass transport ceases. A new type of phase diagram, x2-T1-T2, is proposed, which describes the state of CVT systems under steady-state conditions without mass transport. The CVT process is used to prepare GaSe crystals with different deviations from stoichiometry. The crystals are characterized using x-ray diffraction and cathodoluminescence spectroscopy. The stability regions of two GaSe polytypes in the T-x phase diagram are located. CVT is used to control the compositions of phases in the In-S system. The advantages of the CVT method are analyzed with application to control over the composition of inorganic compounds.
    11 schema:genre article
    12 schema:inLanguage en
    13 schema:isAccessibleForFree false
    14 schema:isPartOf N3d1bf53fcc214be18d0c9cb2a8e74f60
    15 Nb2a0621a131f41e99a36a0e72ace8ddd
    16 sg:journal.1297638
    17 schema:keywords CVT method
    18 CVT process
    19 CVT system
    20 GaSe crystals
    21 GaSe polytype
    22 In
    23 T1
    24 T2
    25 X1
    26 advantages
    27 analysis
    28 applications
    29 basic principles
    30 cathodoluminescence spectroscopy
    31 chemical vapor transport
    32 components
    33 composition
    34 composition of phases
    35 compounds
    36 concept
    37 conditions
    38 crystals
    39 deviation
    40 diagram
    41 different deviations
    42 diffraction
    43 direction
    44 inorganic compounds
    45 introduction
    46 low volatile compounds
    47 mass transport
    48 means
    49 method
    50 new method
    51 new type
    52 parameters
    53 phase
    54 phase diagram
    55 polytypes
    56 principles
    57 process
    58 process parameters
    59 ray diffraction
    60 region
    61 spectroscopy
    62 stability region
    63 state
    64 steady-state conditions
    65 steadystate conditions
    66 stoichiometry
    67 system
    68 temperature T1
    69 temperature T2
    70 theoretical analysis
    71 thermodynamic concepts
    72 transport
    73 types
    74 vapor transport
    75 schema:name Chemical vapor transport as a means of controlling the composition of condensed phases
    76 schema:pagination s101-s127
    77 schema:productId N669106cd24f14f2e89e710bc77e0b58c
    78 Ne75cb99d7ee040658df059eadade013f
    79 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005687369
    80 https://doi.org/10.1007/s10789-005-0056-6
    81 schema:sdDatePublished 2022-05-20T07:22
    82 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    83 schema:sdPublisher Nf327c6c0afbe442589587629d0352aeb
    84 schema:url https://doi.org/10.1007/s10789-005-0056-6
    85 sgo:license sg:explorer/license/
    86 sgo:sdDataset articles
    87 rdf:type schema:ScholarlyArticle
    88 N10e2e0b5df514005978b029e13ca9c53 rdf:first sg:person.015125511201.73
    89 rdf:rest N11f3bdef52e94472a7a2aa54ec8530f4
    90 N11f3bdef52e94472a7a2aa54ec8530f4 rdf:first sg:person.012455443543.35
    91 rdf:rest rdf:nil
    92 N1a4e70922e134c9a8ab66036b4c85e1c rdf:first sg:person.016662551051.12
    93 rdf:rest N10e2e0b5df514005978b029e13ca9c53
    94 N29acaeaa15634f19b7727a883bd79cfe rdf:first sg:person.012120435347.50
    95 rdf:rest N2c3a12f3ecc84f28bebf9c672cf12222
    96 N2c3a12f3ecc84f28bebf9c672cf12222 rdf:first sg:person.014217120611.12
    97 rdf:rest N1a4e70922e134c9a8ab66036b4c85e1c
    98 N3d1bf53fcc214be18d0c9cb2a8e74f60 schema:volumeNumber 40
    99 rdf:type schema:PublicationVolume
    100 N669106cd24f14f2e89e710bc77e0b58c schema:name doi
    101 schema:value 10.1007/s10789-005-0056-6
    102 rdf:type schema:PropertyValue
    103 Nb2a0621a131f41e99a36a0e72ace8ddd schema:issueNumber Suppl 2
    104 rdf:type schema:PublicationIssue
    105 Ne75cb99d7ee040658df059eadade013f schema:name dimensions_id
    106 schema:value pub.1005687369
    107 rdf:type schema:PropertyValue
    108 Nf327c6c0afbe442589587629d0352aeb schema:name Springer Nature - SN SciGraph project
    109 rdf:type schema:Organization
    110 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
    111 schema:name Chemical Sciences
    112 rdf:type schema:DefinedTerm
    113 anzsrc-for:0301 schema:inDefinedTermSet anzsrc-for:
    114 schema:name Analytical Chemistry
    115 rdf:type schema:DefinedTerm
    116 sg:journal.1297638 schema:issn 0020-1685
    117 1608-3172
    118 schema:name Inorganic Materials
    119 schema:publisher Springer Nature
    120 rdf:type schema:Periodical
    121 sg:person.012120435347.50 schema:affiliation grid-institutes:grid.20567.36
    122 schema:familyName Zavrazhnov
    123 schema:givenName A. Yu.
    124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012120435347.50
    125 rdf:type schema:Person
    126 sg:person.012455443543.35 schema:affiliation grid-institutes:grid.14476.30
    127 schema:familyName Zlomanov
    128 schema:givenName V. P.
    129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012455443543.35
    130 rdf:type schema:Person
    131 sg:person.014217120611.12 schema:affiliation grid-institutes:grid.20567.36
    132 schema:familyName Zartsyn
    133 schema:givenName I. D.
    134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014217120611.12
    135 rdf:type schema:Person
    136 sg:person.015125511201.73 schema:affiliation grid-institutes:grid.20567.36
    137 schema:familyName Naumov
    138 schema:givenName A. V.
    139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015125511201.73
    140 rdf:type schema:Person
    141 sg:person.016662551051.12 schema:affiliation grid-institutes:grid.20567.36
    142 schema:familyName Turchen
    143 schema:givenName D. N.
    144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016662551051.12
    145 rdf:type schema:Person
    146 sg:pub.10.1007/978-3-642-88485-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007495059
    147 https://doi.org/10.1007/978-3-642-88485-6
    148 rdf:type schema:CreativeWork
    149 sg:pub.10.1007/978-94-017-2750-1_5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035244443
    150 https://doi.org/10.1007/978-94-017-2750-1_5
    151 rdf:type schema:CreativeWork
    152 sg:pub.10.1007/bf00719862 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033582374
    153 https://doi.org/10.1007/bf00719862
    154 rdf:type schema:CreativeWork
    155 sg:pub.10.1361/105497101770333063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031438350
    156 https://doi.org/10.1361/105497101770333063
    157 rdf:type schema:CreativeWork
    158 grid-institutes:grid.14476.30 schema:alternateName Moscow State University, 119899, Moscow, Russia
    159 schema:name Moscow State University, 119899, Moscow, Russia
    160 rdf:type schema:Organization
    161 grid-institutes:grid.20567.36 schema:alternateName Voronezh State University, Universitetskaya pl. 1, 394006, Voronezh, Russia
    162 schema:name Voronezh State University, Universitetskaya pl. 1, 394006, Voronezh, Russia
    163 rdf:type schema:Organization
     




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


    ...