Microporous structure of highly permeable additive silicon-containing polytricyclononenes View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-01

AUTHORS

P. P. Chapala, M. V. Bermeshev, N. N. Gavrilova

ABSTRACT

The porosity of a number of additive silicon-containing polytricyclononenes from the class of highly permeable polymers has been systematically studied for the first time by the method of low-temperature nitrogen adsorption/desorption. It has been shown that these polymers have a large specific surface area (390−790 m2/g) and are microporous. Dominant pore size ranges from 7 to 10 Å depending on the number of Me3Si groups in a monomer unit and their relative position. More... »

PAGES

143-148

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s0965545x17010035

DOI

http://dx.doi.org/10.1134/s0965545x17010035

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1083904485


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/2008/0303", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Macromolecular and Materials 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": "Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.4886.2", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Leninskii pr. 29, 119991, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chapala", 
        "givenName": "P. P.", 
        "id": "sg:person.012346031703.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012346031703.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.4886.2", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Leninskii pr. 29, 119991, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bermeshev", 
        "givenName": "M. V.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "D. Mendeleyev University of Chemical Technology of Russia", 
          "id": "https://www.grid.ac/institutes/grid.39572.3a", 
          "name": [
            "Mendeleev University of Chemical Technology of Russia, Miusskaya pl. 9, 125047, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gavrilova", 
        "givenName": "N. N.", 
        "id": "sg:person.011676677703.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011676677703.22"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/adma.200306053", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000852444"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0012500811030037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002168934", 
          "https://doi.org/10.1134/s0012500811030037"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2014.12.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006604167"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1351/pac198557040603", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006669173"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0023158415050055", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011113653", 
          "https://doi.org/10.1134/s0023158415050055"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.polymer.2013.05.075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012338294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2008.09.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016749647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0965545x0911008x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017190510", 
          "https://doi.org/10.1134/s0965545x0911008x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0965545x0911008x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017190510", 
          "https://doi.org/10.1134/s0965545x0911008x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0965544110050063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026172290", 
          "https://doi.org/10.1134/s0965544110050063"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0965544110050063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026172290", 
          "https://doi.org/10.1134/s0965544110050063"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2009.02.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032098445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0965544112080117", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032986327", 
          "https://doi.org/10.1134/s0965544112080117"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.progpolymsci.2014.10.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037827657"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2014.09.043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038392058"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0965545x15030025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042969826", 
          "https://doi.org/10.1134/s0965545x15030025"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2005.01.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043992298"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b311764b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045250411"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.reactfunctpolym.2014.06.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047433122"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1146744", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048738723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tet.2012.01.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049552747"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.macromol.5b02087", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055118928"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja00363a061", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055726564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ma201486d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056195606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ma201486d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056195606"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-01", 
    "datePublishedReg": "2017-01-01", 
    "description": "The porosity of a number of additive silicon-containing polytricyclononenes from the class of highly permeable polymers has been systematically studied for the first time by the method of low-temperature nitrogen adsorption/desorption. It has been shown that these polymers have a large specific surface area (390\u2212790 m2/g) and are microporous. Dominant pore size ranges from 7 to 10 \u00c5 depending on the number of Me3Si groups in a monomer unit and their relative position.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1134/s0965545x17010035", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1043515", 
        "issn": [
          "1757-1820", 
          "1555-6107"
        ], 
        "name": "Polymer Science, Series A", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "59"
      }
    ], 
    "name": "Microporous structure of highly permeable additive silicon-containing polytricyclononenes", 
    "pagination": "143-148", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b5fcf9a72c296cc2ef8f96cfa5bb53f6bca552ca8b264e4ec06ff079772ec51b"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s0965545x17010035"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1083904485"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s0965545x17010035", 
      "https://app.dimensions.ai/details/publication/pub.1083904485"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:02", 
    "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_8678_00000484.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1134/S0965545X17010035"
  }
]
 

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/s0965545x17010035'

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/s0965545x17010035'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s0965545x17010035'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s0965545x17010035'


 

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

149 TRIPLES      21 PREDICATES      49 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s0965545x17010035 schema:about anzsrc-for:03
2 anzsrc-for:0303
3 schema:author N61f7e2c45e7f42da82b4b0349216bf80
4 schema:citation sg:pub.10.1134/s0012500811030037
5 sg:pub.10.1134/s0023158415050055
6 sg:pub.10.1134/s0965544110050063
7 sg:pub.10.1134/s0965544112080117
8 sg:pub.10.1134/s0965545x0911008x
9 sg:pub.10.1134/s0965545x15030025
10 https://doi.org/10.1002/adma.200306053
11 https://doi.org/10.1016/j.memsci.2005.01.009
12 https://doi.org/10.1016/j.memsci.2008.09.010
13 https://doi.org/10.1016/j.memsci.2009.02.003
14 https://doi.org/10.1016/j.memsci.2014.09.043
15 https://doi.org/10.1016/j.memsci.2014.12.007
16 https://doi.org/10.1016/j.polymer.2013.05.075
17 https://doi.org/10.1016/j.progpolymsci.2014.10.005
18 https://doi.org/10.1016/j.reactfunctpolym.2014.06.010
19 https://doi.org/10.1016/j.tet.2012.01.012
20 https://doi.org/10.1021/acs.macromol.5b02087
21 https://doi.org/10.1021/ja00363a061
22 https://doi.org/10.1021/ma201486d
23 https://doi.org/10.1039/b311764b
24 https://doi.org/10.1126/science.1146744
25 https://doi.org/10.1351/pac198557040603
26 schema:datePublished 2017-01
27 schema:datePublishedReg 2017-01-01
28 schema:description The porosity of a number of additive silicon-containing polytricyclononenes from the class of highly permeable polymers has been systematically studied for the first time by the method of low-temperature nitrogen adsorption/desorption. It has been shown that these polymers have a large specific surface area (390−790 m2/g) and are microporous. Dominant pore size ranges from 7 to 10 Å depending on the number of Me3Si groups in a monomer unit and their relative position.
29 schema:genre research_article
30 schema:inLanguage en
31 schema:isAccessibleForFree false
32 schema:isPartOf N385550c370a34fd7accf1def89d738be
33 Ne221f3ccb39e4b08aeca3f179f39b6b4
34 sg:journal.1043515
35 schema:name Microporous structure of highly permeable additive silicon-containing polytricyclononenes
36 schema:pagination 143-148
37 schema:productId N00418b07d0d0478b82a370c18974c7d5
38 N0c3adca624be493eaac14d08d3eed072
39 Nbb4ddaf1e93648b0b61bc11386da9efe
40 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083904485
41 https://doi.org/10.1134/s0965545x17010035
42 schema:sdDatePublished 2019-04-10T19:02
43 schema:sdLicense https://scigraph.springernature.com/explorer/license/
44 schema:sdPublisher N6735b46cbd3843cf8e8d15235badfd1f
45 schema:url http://link.springer.com/10.1134/S0965545X17010035
46 sgo:license sg:explorer/license/
47 sgo:sdDataset articles
48 rdf:type schema:ScholarlyArticle
49 N00418b07d0d0478b82a370c18974c7d5 schema:name readcube_id
50 schema:value b5fcf9a72c296cc2ef8f96cfa5bb53f6bca552ca8b264e4ec06ff079772ec51b
51 rdf:type schema:PropertyValue
52 N082e865e31004a7e81aee531e6bc80b2 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
53 schema:familyName Bermeshev
54 schema:givenName M. V.
55 rdf:type schema:Person
56 N0c3adca624be493eaac14d08d3eed072 schema:name doi
57 schema:value 10.1134/s0965545x17010035
58 rdf:type schema:PropertyValue
59 N385550c370a34fd7accf1def89d738be schema:issueNumber 1
60 rdf:type schema:PublicationIssue
61 N61f7e2c45e7f42da82b4b0349216bf80 rdf:first sg:person.012346031703.46
62 rdf:rest N855093f9ad3d4b4bb6340d602b1a0083
63 N6735b46cbd3843cf8e8d15235badfd1f schema:name Springer Nature - SN SciGraph project
64 rdf:type schema:Organization
65 N855093f9ad3d4b4bb6340d602b1a0083 rdf:first N082e865e31004a7e81aee531e6bc80b2
66 rdf:rest Nba1751cf09f54642913e3319590f1187
67 Nba1751cf09f54642913e3319590f1187 rdf:first sg:person.011676677703.22
68 rdf:rest rdf:nil
69 Nbb4ddaf1e93648b0b61bc11386da9efe schema:name dimensions_id
70 schema:value pub.1083904485
71 rdf:type schema:PropertyValue
72 Ne221f3ccb39e4b08aeca3f179f39b6b4 schema:volumeNumber 59
73 rdf:type schema:PublicationVolume
74 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
75 schema:name Chemical Sciences
76 rdf:type schema:DefinedTerm
77 anzsrc-for:0303 schema:inDefinedTermSet anzsrc-for:
78 schema:name Macromolecular and Materials Chemistry
79 rdf:type schema:DefinedTerm
80 sg:journal.1043515 schema:issn 1555-6107
81 1757-1820
82 schema:name Polymer Science, Series A
83 rdf:type schema:Periodical
84 sg:person.011676677703.22 schema:affiliation https://www.grid.ac/institutes/grid.39572.3a
85 schema:familyName Gavrilova
86 schema:givenName N. N.
87 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011676677703.22
88 rdf:type schema:Person
89 sg:person.012346031703.46 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
90 schema:familyName Chapala
91 schema:givenName P. P.
92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012346031703.46
93 rdf:type schema:Person
94 sg:pub.10.1134/s0012500811030037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002168934
95 https://doi.org/10.1134/s0012500811030037
96 rdf:type schema:CreativeWork
97 sg:pub.10.1134/s0023158415050055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011113653
98 https://doi.org/10.1134/s0023158415050055
99 rdf:type schema:CreativeWork
100 sg:pub.10.1134/s0965544110050063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026172290
101 https://doi.org/10.1134/s0965544110050063
102 rdf:type schema:CreativeWork
103 sg:pub.10.1134/s0965544112080117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032986327
104 https://doi.org/10.1134/s0965544112080117
105 rdf:type schema:CreativeWork
106 sg:pub.10.1134/s0965545x0911008x schema:sameAs https://app.dimensions.ai/details/publication/pub.1017190510
107 https://doi.org/10.1134/s0965545x0911008x
108 rdf:type schema:CreativeWork
109 sg:pub.10.1134/s0965545x15030025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042969826
110 https://doi.org/10.1134/s0965545x15030025
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1002/adma.200306053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000852444
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1016/j.memsci.2005.01.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043992298
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1016/j.memsci.2008.09.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016749647
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1016/j.memsci.2009.02.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032098445
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1016/j.memsci.2014.09.043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038392058
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1016/j.memsci.2014.12.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006604167
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1016/j.polymer.2013.05.075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012338294
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1016/j.progpolymsci.2014.10.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037827657
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1016/j.reactfunctpolym.2014.06.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047433122
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1016/j.tet.2012.01.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049552747
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1021/acs.macromol.5b02087 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055118928
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1021/ja00363a061 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055726564
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1021/ma201486d schema:sameAs https://app.dimensions.ai/details/publication/pub.1056195606
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1039/b311764b schema:sameAs https://app.dimensions.ai/details/publication/pub.1045250411
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1126/science.1146744 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048738723
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1351/pac198557040603 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006669173
143 rdf:type schema:CreativeWork
144 https://www.grid.ac/institutes/grid.39572.3a schema:alternateName D. Mendeleyev University of Chemical Technology of Russia
145 schema:name Mendeleev University of Chemical Technology of Russia, Miusskaya pl. 9, 125047, Moscow, Russia
146 rdf:type schema:Organization
147 https://www.grid.ac/institutes/grid.4886.2 schema:alternateName Russian Academy of Sciences
148 schema:name Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Leninskii pr. 29, 119991, Moscow, Russia
149 rdf:type schema:Organization
 




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


...