Reference Correlation for the Viscosity of Difluoromethane (R-32) from the Triple Point to 425 K and up to 70 MPa View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2022-06-30

AUTHORS

Danai Velliadou, Konstantinos D. Antoniadis, Marc J. Assael, Marcia L. Huber

ABSTRACT

We present a wide-ranging correlation expressed in terms of temperature and density for the viscosity of difluoromethane (R-32) based on critically evaluated experimental data. The correlation is designed to be used with an existing equation of state from the triple point to 425 K and at pressures up to 70 MPa. Comparisons with experimental data over the temperature range 220 K to 425 K at pressures up to 70 MPa indicate the correlation has an estimated uncertainty (at the 95% confidence level) of 3.4% in this region, and 2% for the vapor at atmospheric pressure. The correlation also behaves in a physically reasonable manner and may be extrapolated up to 350 MPa, but caution is advised in this region since it requires extrapolation of the equation of state. More... »

PAGES

129

References to SciGraph publications

  • 2003-01. Equations of State for Technical Applications. III. Results for Polar Fluids in INTERNATIONAL JOURNAL OF THERMOPHYSICS
  • 2011-04-27. High-Pressure Viscosity Measurements of 1,1,1,2-Tetrafluoroethane in INTERNATIONAL JOURNAL OF THERMOPHYSICS
  • 1999-03. Viscosity of R134a, R32, And R125 at Saturation in INTERNATIONAL JOURNAL OF THERMOPHYSICS
  • 1996-01. Viscosities of HFC-32 and HFC-32/lubricant mixtures in INTERNATIONAL JOURNAL OF THERMOPHYSICS
  • 2021-05-26. Reference Correlation for the Viscosity of Ethane-1,2-diol (Ethylene Glycol) from the Triple Point to 465 K and up to 100 MPa in INTERNATIONAL JOURNAL OF THERMOPHYSICS
  • 2022-05-11. Reference Correlation for the Viscosity of 1,1,1,2-Tetrafluoroethane (R-134a) from the Triple Point to 438 K and up to 70 MPa in INTERNATIONAL JOURNAL OF THERMOPHYSICS
  • 2000-11. Saturated Liquid Viscosity and Surface Tension of Alternative Refrigerants in INTERNATIONAL JOURNAL OF THERMOPHYSICS
  • 1994-01. The transport properties of ethane. I. Viscosity in INTERNATIONAL JOURNAL OF THERMOPHYSICS
  • 1994-07-01. Measurements of the viscosity of R134a and R32 in the temperature range 270–340 K at pressures up to 20 MPa in INTERNATIONAL JOURNAL OF THERMOPHYSICS
  • 1992-03. Correlation and prediction of dense fluid transport coefficients. I. n-alkanes in INTERNATIONAL JOURNAL OF THERMOPHYSICS
  • 1995-05. Correlation and prediction of dense fluid transport coefficients. VII. Refrigerants in INTERNATIONAL JOURNAL OF THERMOPHYSICS
  • 1999-03. Viscosity Measurements of Ammonia, R32, and R134a. Vapor Buoyancy and Radial Acceleration in Capillary Viscometers in INTERNATIONAL JOURNAL OF THERMOPHYSICS
  • 2021-03-24. Editor’s Preface for the Special Issue on Nanoparticle-Enhanced Ionic Liquids in INTERNATIONAL JOURNAL OF THERMOPHYSICS
  • 2001-07. Equations of State for the Ozone-Safe Refrigerants R32 and R125 in INTERNATIONAL JOURNAL OF THERMOPHYSICS
  • 1996-05. Thermodynamic and transport properties of some alternative ozone-safe refrigerants for industrial refrigeration equipment: Study in Belarus and Ukraine in INTERNATIONAL JOURNAL OF THERMOPHYSICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10765-022-03050-9

    DOI

    http://dx.doi.org/10.1007/s10765-022-03050-9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1149110112


    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/2008/0306", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Physical Chemistry (incl. Structural)", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Laboratory of Thermophysical Properties and Environmental Processes, Chemical Engineering Department, Aristotle University, 54636, Thessaloniki, Greece", 
              "id": "http://www.grid.ac/institutes/grid.4793.9", 
              "name": [
                "Laboratory of Thermophysical Properties and Environmental Processes, Chemical Engineering Department, Aristotle University, 54636, Thessaloniki, Greece"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Velliadou", 
            "givenName": "Danai", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Laboratory of Thermophysical Properties and Environmental Processes, Chemical Engineering Department, Aristotle University, 54636, Thessaloniki, Greece", 
              "id": "http://www.grid.ac/institutes/grid.4793.9", 
              "name": [
                "Laboratory of Thermophysical Properties and Environmental Processes, Chemical Engineering Department, Aristotle University, 54636, Thessaloniki, Greece"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Antoniadis", 
            "givenName": "Konstantinos D.", 
            "id": "sg:person.011426415333.65", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011426415333.65"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Laboratory of Thermophysical Properties and Environmental Processes, Chemical Engineering Department, Aristotle University, 54636, Thessaloniki, Greece", 
              "id": "http://www.grid.ac/institutes/grid.4793.9", 
              "name": [
                "Laboratory of Thermophysical Properties and Environmental Processes, Chemical Engineering Department, Aristotle University, 54636, Thessaloniki, Greece"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Assael", 
            "givenName": "Marc J.", 
            "id": "sg:person.01002535336.85", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01002535336.85"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Applied Chemicals and Materials Division, National Institute of Standards and Technology, 325 Broadway, 80305, Boulder, CO, USA", 
              "id": "http://www.grid.ac/institutes/grid.94225.38", 
              "name": [
                "Applied Chemicals and Materials Division, National Institute of Standards and Technology, 325 Broadway, 80305, Boulder, CO, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Huber", 
            "givenName": "Marcia L.", 
            "id": "sg:person.012261042505.71", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012261042505.71"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/bf01563789", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048190481", 
              "https://doi.org/10.1007/bf01563789"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1006689724974", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041569633", 
              "https://doi.org/10.1023/a:1006689724974"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1010699806169", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038110341", 
              "https://doi.org/10.1023/a:1010699806169"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01448211", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006693836", 
              "https://doi.org/10.1007/bf01448211"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01439245", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052722969", 
              "https://doi.org/10.1007/bf01439245"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1022644718603", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028669809", 
              "https://doi.org/10.1023/a:1022644718603"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10765-021-02829-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1136656892", 
              "https://doi.org/10.1007/s10765-021-02829-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01438861", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029367686", 
              "https://doi.org/10.1007/bf01438861"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10765-022-03029-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1147809484", 
              "https://doi.org/10.1007/s10765-022-03029-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10765-011-0978-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000927571", 
              "https://doi.org/10.1007/s10765-011-0978-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1022640617694", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012536186", 
              "https://doi.org/10.1023/a:1022640617694"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10765-021-02867-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1138365902", 
              "https://doi.org/10.1007/s10765-021-02867-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1022362231796", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004767328", 
              "https://doi.org/10.1023/a:1022362231796"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00504436", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013634458", 
              "https://doi.org/10.1007/bf00504436"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01441501", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029673150", 
              "https://doi.org/10.1007/bf01441501"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2022-06-30", 
        "datePublishedReg": "2022-06-30", 
        "description": "We present a wide-ranging correlation expressed in terms of temperature and density for the viscosity of difluoromethane (R-32) based on critically evaluated experimental data. The correlation is designed to be used with an existing equation of state from the triple point to 425\u00a0K and at pressures up to 70\u00a0MPa. Comparisons with experimental data over the temperature range 220\u00a0K to 425\u00a0K at pressures up to 70\u00a0MPa indicate the correlation has an estimated uncertainty (at the 95% confidence level) of 3.4% in this region, and 2% for the vapor at atmospheric pressure. The correlation also behaves in a physically reasonable manner and may be extrapolated up to 350\u00a0MPa, but caution is advised in this region since it requires extrapolation of the equation of state.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s10765-022-03050-9", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1043587", 
            "issn": [
              "0195-928X", 
              "1572-9567"
            ], 
            "name": "International Journal of Thermophysics", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "8", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "43"
          }
        ], 
        "keywords": [
          "experimental data", 
          "triple point", 
          "terms of temperature", 
          "MPa", 
          "reference correlations", 
          "atmospheric pressure", 
          "equation of state", 
          "viscosity", 
          "reasonable manner", 
          "temperature range 220", 
          "pressure", 
          "equations", 
          "difluoromethane", 
          "vapor", 
          "range 220", 
          "temperature", 
          "density", 
          "uncertainty", 
          "point", 
          "region", 
          "comparison", 
          "state", 
          "extrapolation", 
          "terms", 
          "correlation", 
          "data", 
          "manner", 
          "caution"
        ], 
        "name": "Reference Correlation for the Viscosity of Difluoromethane (R-32) from the Triple Point to 425 K and up to 70 MPa", 
        "pagination": "129", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1149110112"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10765-022-03050-9"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10765-022-03050-9", 
          "https://app.dimensions.ai/details/publication/pub.1149110112"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-10-01T06:50", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/article/article_938.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s10765-022-03050-9"
      }
    ]
     

    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/s10765-022-03050-9'

    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/s10765-022-03050-9'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10765-022-03050-9'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10765-022-03050-9'


     

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

    168 TRIPLES      21 PREDICATES      67 URIs      44 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10765-022-03050-9 schema:about anzsrc-for:03
    2 anzsrc-for:0306
    3 schema:author N3c92a7970c014e10a239b06bc566f75c
    4 schema:citation sg:pub.10.1007/bf00504436
    5 sg:pub.10.1007/bf01438861
    6 sg:pub.10.1007/bf01439245
    7 sg:pub.10.1007/bf01441501
    8 sg:pub.10.1007/bf01448211
    9 sg:pub.10.1007/bf01563789
    10 sg:pub.10.1007/s10765-011-0978-y
    11 sg:pub.10.1007/s10765-021-02829-6
    12 sg:pub.10.1007/s10765-021-02867-0
    13 sg:pub.10.1007/s10765-022-03029-6
    14 sg:pub.10.1023/a:1006689724974
    15 sg:pub.10.1023/a:1010699806169
    16 sg:pub.10.1023/a:1022362231796
    17 sg:pub.10.1023/a:1022640617694
    18 sg:pub.10.1023/a:1022644718603
    19 schema:datePublished 2022-06-30
    20 schema:datePublishedReg 2022-06-30
    21 schema:description We present a wide-ranging correlation expressed in terms of temperature and density for the viscosity of difluoromethane (R-32) based on critically evaluated experimental data. The correlation is designed to be used with an existing equation of state from the triple point to 425 K and at pressures up to 70 MPa. Comparisons with experimental data over the temperature range 220 K to 425 K at pressures up to 70 MPa indicate the correlation has an estimated uncertainty (at the 95% confidence level) of 3.4% in this region, and 2% for the vapor at atmospheric pressure. The correlation also behaves in a physically reasonable manner and may be extrapolated up to 350 MPa, but caution is advised in this region since it requires extrapolation of the equation of state.
    22 schema:genre article
    23 schema:isAccessibleForFree false
    24 schema:isPartOf Na86f614b9a9344caa890af30b4fdf9d3
    25 Nccbf4b8f4bda490aa40bee1c9ad92466
    26 sg:journal.1043587
    27 schema:keywords MPa
    28 atmospheric pressure
    29 caution
    30 comparison
    31 correlation
    32 data
    33 density
    34 difluoromethane
    35 equation of state
    36 equations
    37 experimental data
    38 extrapolation
    39 manner
    40 point
    41 pressure
    42 range 220
    43 reasonable manner
    44 reference correlations
    45 region
    46 state
    47 temperature
    48 temperature range 220
    49 terms
    50 terms of temperature
    51 triple point
    52 uncertainty
    53 vapor
    54 viscosity
    55 schema:name Reference Correlation for the Viscosity of Difluoromethane (R-32) from the Triple Point to 425 K and up to 70 MPa
    56 schema:pagination 129
    57 schema:productId N04b28413423445d29084e79add583865
    58 Ncf0f7fa510e74f149c5529305759f844
    59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1149110112
    60 https://doi.org/10.1007/s10765-022-03050-9
    61 schema:sdDatePublished 2022-10-01T06:50
    62 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    63 schema:sdPublisher N0327e5ccb4954f9f8c9d6c018b0fe550
    64 schema:url https://doi.org/10.1007/s10765-022-03050-9
    65 sgo:license sg:explorer/license/
    66 sgo:sdDataset articles
    67 rdf:type schema:ScholarlyArticle
    68 N0327e5ccb4954f9f8c9d6c018b0fe550 schema:name Springer Nature - SN SciGraph project
    69 rdf:type schema:Organization
    70 N04b28413423445d29084e79add583865 schema:name doi
    71 schema:value 10.1007/s10765-022-03050-9
    72 rdf:type schema:PropertyValue
    73 N127c225254e54ce9acf10cb5884d4ea1 rdf:first sg:person.012261042505.71
    74 rdf:rest rdf:nil
    75 N2ea7558b766e45d9a133e326787a6e52 schema:affiliation grid-institutes:grid.4793.9
    76 schema:familyName Velliadou
    77 schema:givenName Danai
    78 rdf:type schema:Person
    79 N327ee4454967426dabec38c615ea6fda rdf:first sg:person.011426415333.65
    80 rdf:rest Nadff4bba11224a7bb64ecb3bd8c015b8
    81 N3c92a7970c014e10a239b06bc566f75c rdf:first N2ea7558b766e45d9a133e326787a6e52
    82 rdf:rest N327ee4454967426dabec38c615ea6fda
    83 Na86f614b9a9344caa890af30b4fdf9d3 schema:issueNumber 8
    84 rdf:type schema:PublicationIssue
    85 Nadff4bba11224a7bb64ecb3bd8c015b8 rdf:first sg:person.01002535336.85
    86 rdf:rest N127c225254e54ce9acf10cb5884d4ea1
    87 Nccbf4b8f4bda490aa40bee1c9ad92466 schema:volumeNumber 43
    88 rdf:type schema:PublicationVolume
    89 Ncf0f7fa510e74f149c5529305759f844 schema:name dimensions_id
    90 schema:value pub.1149110112
    91 rdf:type schema:PropertyValue
    92 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
    93 schema:name Chemical Sciences
    94 rdf:type schema:DefinedTerm
    95 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
    96 schema:name Physical Chemistry (incl. Structural)
    97 rdf:type schema:DefinedTerm
    98 sg:journal.1043587 schema:issn 0195-928X
    99 1572-9567
    100 schema:name International Journal of Thermophysics
    101 schema:publisher Springer Nature
    102 rdf:type schema:Periodical
    103 sg:person.01002535336.85 schema:affiliation grid-institutes:grid.4793.9
    104 schema:familyName Assael
    105 schema:givenName Marc J.
    106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01002535336.85
    107 rdf:type schema:Person
    108 sg:person.011426415333.65 schema:affiliation grid-institutes:grid.4793.9
    109 schema:familyName Antoniadis
    110 schema:givenName Konstantinos D.
    111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011426415333.65
    112 rdf:type schema:Person
    113 sg:person.012261042505.71 schema:affiliation grid-institutes:grid.94225.38
    114 schema:familyName Huber
    115 schema:givenName Marcia L.
    116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012261042505.71
    117 rdf:type schema:Person
    118 sg:pub.10.1007/bf00504436 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013634458
    119 https://doi.org/10.1007/bf00504436
    120 rdf:type schema:CreativeWork
    121 sg:pub.10.1007/bf01438861 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029367686
    122 https://doi.org/10.1007/bf01438861
    123 rdf:type schema:CreativeWork
    124 sg:pub.10.1007/bf01439245 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052722969
    125 https://doi.org/10.1007/bf01439245
    126 rdf:type schema:CreativeWork
    127 sg:pub.10.1007/bf01441501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029673150
    128 https://doi.org/10.1007/bf01441501
    129 rdf:type schema:CreativeWork
    130 sg:pub.10.1007/bf01448211 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006693836
    131 https://doi.org/10.1007/bf01448211
    132 rdf:type schema:CreativeWork
    133 sg:pub.10.1007/bf01563789 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048190481
    134 https://doi.org/10.1007/bf01563789
    135 rdf:type schema:CreativeWork
    136 sg:pub.10.1007/s10765-011-0978-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1000927571
    137 https://doi.org/10.1007/s10765-011-0978-y
    138 rdf:type schema:CreativeWork
    139 sg:pub.10.1007/s10765-021-02829-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1136656892
    140 https://doi.org/10.1007/s10765-021-02829-6
    141 rdf:type schema:CreativeWork
    142 sg:pub.10.1007/s10765-021-02867-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1138365902
    143 https://doi.org/10.1007/s10765-021-02867-0
    144 rdf:type schema:CreativeWork
    145 sg:pub.10.1007/s10765-022-03029-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1147809484
    146 https://doi.org/10.1007/s10765-022-03029-6
    147 rdf:type schema:CreativeWork
    148 sg:pub.10.1023/a:1006689724974 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041569633
    149 https://doi.org/10.1023/a:1006689724974
    150 rdf:type schema:CreativeWork
    151 sg:pub.10.1023/a:1010699806169 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038110341
    152 https://doi.org/10.1023/a:1010699806169
    153 rdf:type schema:CreativeWork
    154 sg:pub.10.1023/a:1022362231796 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004767328
    155 https://doi.org/10.1023/a:1022362231796
    156 rdf:type schema:CreativeWork
    157 sg:pub.10.1023/a:1022640617694 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012536186
    158 https://doi.org/10.1023/a:1022640617694
    159 rdf:type schema:CreativeWork
    160 sg:pub.10.1023/a:1022644718603 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028669809
    161 https://doi.org/10.1023/a:1022644718603
    162 rdf:type schema:CreativeWork
    163 grid-institutes:grid.4793.9 schema:alternateName Laboratory of Thermophysical Properties and Environmental Processes, Chemical Engineering Department, Aristotle University, 54636, Thessaloniki, Greece
    164 schema:name Laboratory of Thermophysical Properties and Environmental Processes, Chemical Engineering Department, Aristotle University, 54636, Thessaloniki, Greece
    165 rdf:type schema:Organization
    166 grid-institutes:grid.94225.38 schema:alternateName Applied Chemicals and Materials Division, National Institute of Standards and Technology, 325 Broadway, 80305, Boulder, CO, USA
    167 schema:name Applied Chemicals and Materials Division, National Institute of Standards and Technology, 325 Broadway, 80305, Boulder, CO, USA
    168 rdf:type schema:Organization
     




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


    ...