A Corresponding States Model for Generalized Engineering Equations of State View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2005-05

AUTHORS

L. Sun, J. F. Ely

ABSTRACT

In this work, a four-parameter corresponding-states principle (CSP) model is proposed to generalize the universal technical Equation of State (EOS) developed in our previous work. This model is in the form of the Helmholtz free energy and takes the reduced density, reduced temperature, acentric factor and a polarity factor as variables. Compared to other generalized equations such as the one by Span and Wagner for nonpolar fluids, and by Platzer and Maurer and by Wilding and Rowley for polar fluids, the CSP model developed in this work shows good accuracy for the 22 nonpolar, polar, and associating fluids considered in this study and offers the flexibility to be extended to other fluids of industrial interest. In addition, the polarity factor used in this model has been successfully correlated from quantitative structure activity relationship (QSAR) molecular descriptors. More... »

PAGES

705-728

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10765-005-5573-7

DOI

http://dx.doi.org/10.1007/s10765-005-5573-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1043360843


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/2008/0307", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Theoretical and Computational Chemistry", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Vanderbilt University", 
          "id": "https://www.grid.ac/institutes/grid.152326.1", 
          "name": [
            "Chemical Engineering Department, Colorado School of Mines, 80401, Golden, Colorado, U.S.A", 
            "Chemical Engineering Department, Vanderbilt University, 37235, Nashville, Tennessee, U.S.A"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sun", 
        "givenName": "L.", 
        "id": "sg:person.07445540144.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07445540144.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Colorado School of Mines", 
          "id": "https://www.grid.ac/institutes/grid.254549.b", 
          "name": [
            "Chemical Engineering Department, Colorado School of Mines, 80401, Golden, Colorado, U.S.A"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ely", 
        "givenName": "J. F.", 
        "id": "sg:person.012014412040.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012014412040.38"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1080/01457639008939723", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000820842"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0300-9467(81)80053-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001019319"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00502387", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003596298", 
          "https://doi.org/10.1007/bf00502387"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00502387", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003596298", 
          "https://doi.org/10.1007/bf00502387"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0378-3812(92)85060-l", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008424369"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0378-3812(92)85018-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019010990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/aic.690380217", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019263906"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/aic.690210313", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026949347"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1351/pac199365050919", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030107391"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0009-2509(81)80041-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038954521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1022390430888", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041672440", 
          "https://doi.org/10.1023/a:1022390430888"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0378-3812(89)80366-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044232461"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.fluid.2004.06.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046629148"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0009-2509(72)80096-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051866845"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-662-04092-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052835950", 
          "https://doi.org/10.1007/978-3-662-04092-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-662-04092-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052835950", 
          "https://doi.org/10.1007/978-3-662-04092-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00986449008911563", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053267839"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cr60137a013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053824532"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/i160057a011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055525465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ie00007a034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055590889"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ie00078a020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055594081"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ie00104a021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055595113"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ie00107a014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055595226"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1349047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057697448"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1461829", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057709018"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1750496", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057812491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1750658", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057812652"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.3253132", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057925133"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.555991", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058109863"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.556037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058109909"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2005-05", 
    "datePublishedReg": "2005-05-01", 
    "description": "In this work, a four-parameter corresponding-states principle (CSP) model is proposed to generalize the universal technical Equation of State (EOS) developed in our previous work. This model is in the form of the Helmholtz free energy and takes the reduced density, reduced temperature, acentric factor and a polarity factor as variables. Compared to other generalized equations such as the one by Span and Wagner for nonpolar fluids, and by Platzer and Maurer and by Wilding and Rowley for polar fluids, the CSP model developed in this work shows good accuracy for the 22 nonpolar, polar, and associating fluids considered in this study and offers the flexibility to be extended to other fluids of industrial interest. In addition, the polarity factor used in this model has been successfully correlated from quantitative structure activity relationship (QSAR) molecular descriptors.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10765-005-5573-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1043587", 
        "issn": [
          "0195-928X", 
          "1572-9567"
        ], 
        "name": "International Journal of Thermophysics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "26"
      }
    ], 
    "name": "A Corresponding States Model for Generalized Engineering Equations of State", 
    "pagination": "705-728", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ce8b63be14217824fdc5b54b8b0c8e30220762de392d4b8a6b527783499a3ee5"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10765-005-5573-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1043360843"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10765-005-5573-7", 
      "https://app.dimensions.ai/details/publication/pub.1043360843"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:04", 
    "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/v90/0000000360_0000000360/records_118312_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s10765-005-5573-7"
  }
]
 

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/s10765-005-5573-7'

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/s10765-005-5573-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10765-005-5573-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10765-005-5573-7'


 

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

159 TRIPLES      21 PREDICATES      55 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10765-005-5573-7 schema:about anzsrc-for:03
2 anzsrc-for:0307
3 schema:author Nee3a290b9c5b431db7d2da07b9970467
4 schema:citation sg:pub.10.1007/978-3-662-04092-8
5 sg:pub.10.1007/bf00502387
6 sg:pub.10.1023/a:1022390430888
7 https://doi.org/10.1002/aic.690210313
8 https://doi.org/10.1002/aic.690380217
9 https://doi.org/10.1016/0009-2509(72)80096-4
10 https://doi.org/10.1016/0009-2509(81)80041-3
11 https://doi.org/10.1016/0300-9467(81)80053-6
12 https://doi.org/10.1016/0378-3812(89)80366-8
13 https://doi.org/10.1016/0378-3812(92)85018-4
14 https://doi.org/10.1016/0378-3812(92)85060-l
15 https://doi.org/10.1016/j.fluid.2004.06.028
16 https://doi.org/10.1021/cr60137a013
17 https://doi.org/10.1021/i160057a011
18 https://doi.org/10.1021/ie00007a034
19 https://doi.org/10.1021/ie00078a020
20 https://doi.org/10.1021/ie00104a021
21 https://doi.org/10.1021/ie00107a014
22 https://doi.org/10.1063/1.1349047
23 https://doi.org/10.1063/1.1461829
24 https://doi.org/10.1063/1.1750496
25 https://doi.org/10.1063/1.1750658
26 https://doi.org/10.1063/1.3253132
27 https://doi.org/10.1063/1.555991
28 https://doi.org/10.1063/1.556037
29 https://doi.org/10.1080/00986449008911563
30 https://doi.org/10.1080/01457639008939723
31 https://doi.org/10.1351/pac199365050919
32 schema:datePublished 2005-05
33 schema:datePublishedReg 2005-05-01
34 schema:description In this work, a four-parameter corresponding-states principle (CSP) model is proposed to generalize the universal technical Equation of State (EOS) developed in our previous work. This model is in the form of the Helmholtz free energy and takes the reduced density, reduced temperature, acentric factor and a polarity factor as variables. Compared to other generalized equations such as the one by Span and Wagner for nonpolar fluids, and by Platzer and Maurer and by Wilding and Rowley for polar fluids, the CSP model developed in this work shows good accuracy for the 22 nonpolar, polar, and associating fluids considered in this study and offers the flexibility to be extended to other fluids of industrial interest. In addition, the polarity factor used in this model has been successfully correlated from quantitative structure activity relationship (QSAR) molecular descriptors.
35 schema:genre research_article
36 schema:inLanguage en
37 schema:isAccessibleForFree true
38 schema:isPartOf N5862500b271741eab4a587013af28d28
39 N8e69bd8d7ee3444784bd5fb30178951b
40 sg:journal.1043587
41 schema:name A Corresponding States Model for Generalized Engineering Equations of State
42 schema:pagination 705-728
43 schema:productId N75b3d567fc6540a58a7794b70a30b370
44 N8862a32fe9084effa9f941434a96115a
45 Nfb2fb25548dd4693b3a3d18a0d7bd6d1
46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043360843
47 https://doi.org/10.1007/s10765-005-5573-7
48 schema:sdDatePublished 2019-04-11T12:04
49 schema:sdLicense https://scigraph.springernature.com/explorer/license/
50 schema:sdPublisher N3af9dbb78fc34f25b17de71fa3370286
51 schema:url http://link.springer.com/10.1007/s10765-005-5573-7
52 sgo:license sg:explorer/license/
53 sgo:sdDataset articles
54 rdf:type schema:ScholarlyArticle
55 N204dab37aa6c4c649ccca475d58d7603 rdf:first sg:person.012014412040.38
56 rdf:rest rdf:nil
57 N3af9dbb78fc34f25b17de71fa3370286 schema:name Springer Nature - SN SciGraph project
58 rdf:type schema:Organization
59 N5862500b271741eab4a587013af28d28 schema:volumeNumber 26
60 rdf:type schema:PublicationVolume
61 N75b3d567fc6540a58a7794b70a30b370 schema:name dimensions_id
62 schema:value pub.1043360843
63 rdf:type schema:PropertyValue
64 N8862a32fe9084effa9f941434a96115a schema:name doi
65 schema:value 10.1007/s10765-005-5573-7
66 rdf:type schema:PropertyValue
67 N8e69bd8d7ee3444784bd5fb30178951b schema:issueNumber 3
68 rdf:type schema:PublicationIssue
69 Nee3a290b9c5b431db7d2da07b9970467 rdf:first sg:person.07445540144.55
70 rdf:rest N204dab37aa6c4c649ccca475d58d7603
71 Nfb2fb25548dd4693b3a3d18a0d7bd6d1 schema:name readcube_id
72 schema:value ce8b63be14217824fdc5b54b8b0c8e30220762de392d4b8a6b527783499a3ee5
73 rdf:type schema:PropertyValue
74 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
75 schema:name Chemical Sciences
76 rdf:type schema:DefinedTerm
77 anzsrc-for:0307 schema:inDefinedTermSet anzsrc-for:
78 schema:name Theoretical and Computational Chemistry
79 rdf:type schema:DefinedTerm
80 sg:journal.1043587 schema:issn 0195-928X
81 1572-9567
82 schema:name International Journal of Thermophysics
83 rdf:type schema:Periodical
84 sg:person.012014412040.38 schema:affiliation https://www.grid.ac/institutes/grid.254549.b
85 schema:familyName Ely
86 schema:givenName J. F.
87 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012014412040.38
88 rdf:type schema:Person
89 sg:person.07445540144.55 schema:affiliation https://www.grid.ac/institutes/grid.152326.1
90 schema:familyName Sun
91 schema:givenName L.
92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07445540144.55
93 rdf:type schema:Person
94 sg:pub.10.1007/978-3-662-04092-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052835950
95 https://doi.org/10.1007/978-3-662-04092-8
96 rdf:type schema:CreativeWork
97 sg:pub.10.1007/bf00502387 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003596298
98 https://doi.org/10.1007/bf00502387
99 rdf:type schema:CreativeWork
100 sg:pub.10.1023/a:1022390430888 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041672440
101 https://doi.org/10.1023/a:1022390430888
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1002/aic.690210313 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026949347
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1002/aic.690380217 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019263906
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1016/0009-2509(72)80096-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051866845
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1016/0009-2509(81)80041-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038954521
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1016/0300-9467(81)80053-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001019319
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1016/0378-3812(89)80366-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044232461
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1016/0378-3812(92)85018-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019010990
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1016/0378-3812(92)85060-l schema:sameAs https://app.dimensions.ai/details/publication/pub.1008424369
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1016/j.fluid.2004.06.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046629148
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1021/cr60137a013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053824532
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1021/i160057a011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055525465
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1021/ie00007a034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055590889
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1021/ie00078a020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055594081
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1021/ie00104a021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055595113
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1021/ie00107a014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055595226
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1063/1.1349047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057697448
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1063/1.1461829 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057709018
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1063/1.1750496 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057812491
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1063/1.1750658 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057812652
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1063/1.3253132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057925133
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1063/1.555991 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058109863
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1063/1.556037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058109909
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1080/00986449008911563 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053267839
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1080/01457639008939723 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000820842
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1351/pac199365050919 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030107391
152 rdf:type schema:CreativeWork
153 https://www.grid.ac/institutes/grid.152326.1 schema:alternateName Vanderbilt University
154 schema:name Chemical Engineering Department, Colorado School of Mines, 80401, Golden, Colorado, U.S.A
155 Chemical Engineering Department, Vanderbilt University, 37235, Nashville, Tennessee, U.S.A
156 rdf:type schema:Organization
157 https://www.grid.ac/institutes/grid.254549.b schema:alternateName Colorado School of Mines
158 schema:name Chemical Engineering Department, Colorado School of Mines, 80401, Golden, Colorado, U.S.A
159 rdf:type schema:Organization
 




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


...