Cross-flow mass transfer in a model hexagonal system of hollow fiber membranes View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-07

AUTHORS

V. A. Kirsch, V. I. Roldugin, S. D. Bazhenov, A. V. Bildukevich

ABSTRACT

A method for calculating external mass transfer in a contactor with transverse confined flow of a viscous incompressible liquid (gas) past a hollow fiber membrane at low Reynolds numbers has been proposed. The method is based on the concept of array of hollow fiber membranes as a hexagonal system of parallel fibers to which the Kuwabara cell model with a known flowfield is applicable. Asymmetric membranes with macroporous permeable outer supports have been considered. A solution of the problem on the external Stokes flow past a hollow fiber membrane in the cell, taking into account the hydrodynamic permeability of the support, has been found in terms of the model. To describe the flow inside and outside the support, joining of the general solutions to the Stokes and Brinkman equations has been used. The Saffman slip condition has been set on the surface of the low-permeability membrane. The dependences of the stream function, velocity components, and drag force upon the fiber packing density and support permeability and thickness have been revealed. Efficiency η of solute sorption by the fiber has been calculated for the flowfield found, assuming zero component concentration at the membrane surface (full absorption approximation). The dependences of η on the diffusion Peclet number, support permeability and thickness, and fiber packing density have been calculated. Direct 3D simulation of convective mass transfer in the contactor at low Reynolds numbers has been performed, and the cell model has been shown to be applicable to the calculation of the contactor with a predominantly two-dimensional transverse flow. More... »

PAGES

339-346

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s0965544115050072

DOI

http://dx.doi.org/10.1134/s0965544115050072

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1011541547


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/2008/0904", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.4886.2", 
          "name": [
            "Frumkin Institute of Physical Chemistry and Electrochemistry, Russian Academy of Sciences, Leninskii pr. 31, 119071, Moscow, Russia", 
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Leninskii pr. 29, 119991, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kirsch", 
        "givenName": "V. A.", 
        "id": "sg:person.016202734451.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016202734451.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.4886.2", 
          "name": [
            "Frumkin Institute of Physical Chemistry and Electrochemistry, Russian Academy of Sciences, Leninskii pr. 31, 119071, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Roldugin", 
        "givenName": "V. I.", 
        "id": "sg:person.015065055272.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015065055272.90"
        ], 
        "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": "Bazhenov", 
        "givenName": "S. D.", 
        "id": "sg:person.013301711627.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013301711627.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Physical and Organic Chemistry", 
          "id": "https://www.grid.ac/institutes/grid.435325.6", 
          "name": [
            "Institute of Physical Organic Chemistry, National Academy of Sciences of Belarus, ul. Surganova 13, 220072, Minsk, Belarus"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bildukevich", 
        "givenName": "A. V.", 
        "id": "sg:person.010275243651.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010275243651.54"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/sapm197150293", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005675842"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/aic.690340202", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006046518"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/b:coll.0000009115.07793.c9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008456941", 
          "https://doi.org/10.1023/b:coll.0000009115.07793.c9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2014.07.056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012022951"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0965544113080148", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025812173", 
          "https://doi.org/10.1134/s0965544113080148"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4155/cmt.12.73", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030601332"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0376-7388(99)00040-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031282178"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0301-9322(82)90029-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032620395"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0301-9322(82)90029-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032620395"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0040579506050034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033456495", 
          "https://doi.org/10.1134/s0040579506050034"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s1061933x06020086", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033938877", 
          "https://doi.org/10.1134/s1061933x06020086"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s1061933x06020086", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033938877", 
          "https://doi.org/10.1134/s1061933x06020086"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02120313", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037699269", 
          "https://doi.org/10.1007/bf02120313"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/9783527630134.ch10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038541769"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2011.08.058", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043657902"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annhyg/10.1.23", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059390226"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1143/jpsj.14.527", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063092413"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1143/jpsj.22.1251", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063096026"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-07", 
    "datePublishedReg": "2015-07-01", 
    "description": "A method for calculating external mass transfer in a contactor with transverse confined flow of a viscous incompressible liquid (gas) past a hollow fiber membrane at low Reynolds numbers has been proposed. The method is based on the concept of array of hollow fiber membranes as a hexagonal system of parallel fibers to which the Kuwabara cell model with a known flowfield is applicable. Asymmetric membranes with macroporous permeable outer supports have been considered. A solution of the problem on the external Stokes flow past a hollow fiber membrane in the cell, taking into account the hydrodynamic permeability of the support, has been found in terms of the model. To describe the flow inside and outside the support, joining of the general solutions to the Stokes and Brinkman equations has been used. The Saffman slip condition has been set on the surface of the low-permeability membrane. The dependences of the stream function, velocity components, and drag force upon the fiber packing density and support permeability and thickness have been revealed. Efficiency \u03b7 of solute sorption by the fiber has been calculated for the flowfield found, assuming zero component concentration at the membrane surface (full absorption approximation). The dependences of \u03b7 on the diffusion Peclet number, support permeability and thickness, and fiber packing density have been calculated. Direct 3D simulation of convective mass transfer in the contactor at low Reynolds numbers has been performed, and the cell model has been shown to be applicable to the calculation of the contactor with a predominantly two-dimensional transverse flow.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1134/s0965544115050072", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136087", 
        "issn": [
          "0965-5441", 
          "1555-6239"
        ], 
        "name": "Petroleum Chemistry", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "55"
      }
    ], 
    "name": "Cross-flow mass transfer in a model hexagonal system of hollow fiber membranes", 
    "pagination": "339-346", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "36fd379588bf8a09dff44145a921564a41fdd0dc75995e0431aeac02cc5f701b"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s0965544115050072"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1011541547"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s0965544115050072", 
      "https://app.dimensions.ai/details/publication/pub.1011541547"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T13:13", 
    "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_8659_00000504.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1134/S0965544115050072"
  }
]
 

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/s0965544115050072'

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/s0965544115050072'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s0965544115050072'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s0965544115050072'


 

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

139 TRIPLES      21 PREDICATES      43 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s0965544115050072 schema:about anzsrc-for:09
2 anzsrc-for:0904
3 schema:author N14df7836af644f94b3b353e4ec01d11e
4 schema:citation sg:pub.10.1007/bf02120313
5 sg:pub.10.1023/b:coll.0000009115.07793.c9
6 sg:pub.10.1134/s0040579506050034
7 sg:pub.10.1134/s0965544113080148
8 sg:pub.10.1134/s1061933x06020086
9 https://doi.org/10.1002/9783527630134.ch10
10 https://doi.org/10.1002/aic.690340202
11 https://doi.org/10.1002/sapm197150293
12 https://doi.org/10.1016/0301-9322(82)90029-5
13 https://doi.org/10.1016/j.memsci.2011.08.058
14 https://doi.org/10.1016/j.memsci.2014.07.056
15 https://doi.org/10.1016/s0376-7388(99)00040-x
16 https://doi.org/10.1093/annhyg/10.1.23
17 https://doi.org/10.1143/jpsj.14.527
18 https://doi.org/10.1143/jpsj.22.1251
19 https://doi.org/10.4155/cmt.12.73
20 schema:datePublished 2015-07
21 schema:datePublishedReg 2015-07-01
22 schema:description A method for calculating external mass transfer in a contactor with transverse confined flow of a viscous incompressible liquid (gas) past a hollow fiber membrane at low Reynolds numbers has been proposed. The method is based on the concept of array of hollow fiber membranes as a hexagonal system of parallel fibers to which the Kuwabara cell model with a known flowfield is applicable. Asymmetric membranes with macroporous permeable outer supports have been considered. A solution of the problem on the external Stokes flow past a hollow fiber membrane in the cell, taking into account the hydrodynamic permeability of the support, has been found in terms of the model. To describe the flow inside and outside the support, joining of the general solutions to the Stokes and Brinkman equations has been used. The Saffman slip condition has been set on the surface of the low-permeability membrane. The dependences of the stream function, velocity components, and drag force upon the fiber packing density and support permeability and thickness have been revealed. Efficiency η of solute sorption by the fiber has been calculated for the flowfield found, assuming zero component concentration at the membrane surface (full absorption approximation). The dependences of η on the diffusion Peclet number, support permeability and thickness, and fiber packing density have been calculated. Direct 3D simulation of convective mass transfer in the contactor at low Reynolds numbers has been performed, and the cell model has been shown to be applicable to the calculation of the contactor with a predominantly two-dimensional transverse flow.
23 schema:genre research_article
24 schema:inLanguage en
25 schema:isAccessibleForFree false
26 schema:isPartOf Nabecdba4016d46dd8664677f01d9a386
27 Nb6bf964c00c94d14988e2700d6acafc9
28 sg:journal.1136087
29 schema:name Cross-flow mass transfer in a model hexagonal system of hollow fiber membranes
30 schema:pagination 339-346
31 schema:productId N095a246bb7e748ada7ae82c0015c51d0
32 N7267a183c0b44763b0593d1ae76fee8d
33 Nc599ac942e9344bdbe876b8a859be1fb
34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011541547
35 https://doi.org/10.1134/s0965544115050072
36 schema:sdDatePublished 2019-04-10T13:13
37 schema:sdLicense https://scigraph.springernature.com/explorer/license/
38 schema:sdPublisher Na16e79fa8ba9465dba8005632af0c809
39 schema:url http://link.springer.com/10.1134/S0965544115050072
40 sgo:license sg:explorer/license/
41 sgo:sdDataset articles
42 rdf:type schema:ScholarlyArticle
43 N080ddba6d6df4c4b97030db4f04ae8a4 rdf:first sg:person.010275243651.54
44 rdf:rest rdf:nil
45 N095a246bb7e748ada7ae82c0015c51d0 schema:name doi
46 schema:value 10.1134/s0965544115050072
47 rdf:type schema:PropertyValue
48 N14df7836af644f94b3b353e4ec01d11e rdf:first sg:person.016202734451.00
49 rdf:rest Nc6933d0d4b294565993d507163097418
50 N6deeee5c7c5e47fdbb9c1c85925f9ebd rdf:first sg:person.013301711627.81
51 rdf:rest N080ddba6d6df4c4b97030db4f04ae8a4
52 N7267a183c0b44763b0593d1ae76fee8d schema:name readcube_id
53 schema:value 36fd379588bf8a09dff44145a921564a41fdd0dc75995e0431aeac02cc5f701b
54 rdf:type schema:PropertyValue
55 Na16e79fa8ba9465dba8005632af0c809 schema:name Springer Nature - SN SciGraph project
56 rdf:type schema:Organization
57 Nabecdba4016d46dd8664677f01d9a386 schema:issueNumber 5
58 rdf:type schema:PublicationIssue
59 Nb6bf964c00c94d14988e2700d6acafc9 schema:volumeNumber 55
60 rdf:type schema:PublicationVolume
61 Nc599ac942e9344bdbe876b8a859be1fb schema:name dimensions_id
62 schema:value pub.1011541547
63 rdf:type schema:PropertyValue
64 Nc6933d0d4b294565993d507163097418 rdf:first sg:person.015065055272.90
65 rdf:rest N6deeee5c7c5e47fdbb9c1c85925f9ebd
66 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
67 schema:name Engineering
68 rdf:type schema:DefinedTerm
69 anzsrc-for:0904 schema:inDefinedTermSet anzsrc-for:
70 schema:name Chemical Engineering
71 rdf:type schema:DefinedTerm
72 sg:journal.1136087 schema:issn 0965-5441
73 1555-6239
74 schema:name Petroleum Chemistry
75 rdf:type schema:Periodical
76 sg:person.010275243651.54 schema:affiliation https://www.grid.ac/institutes/grid.435325.6
77 schema:familyName Bildukevich
78 schema:givenName A. V.
79 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010275243651.54
80 rdf:type schema:Person
81 sg:person.013301711627.81 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
82 schema:familyName Bazhenov
83 schema:givenName S. D.
84 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013301711627.81
85 rdf:type schema:Person
86 sg:person.015065055272.90 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
87 schema:familyName Roldugin
88 schema:givenName V. I.
89 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015065055272.90
90 rdf:type schema:Person
91 sg:person.016202734451.00 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
92 schema:familyName Kirsch
93 schema:givenName V. A.
94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016202734451.00
95 rdf:type schema:Person
96 sg:pub.10.1007/bf02120313 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037699269
97 https://doi.org/10.1007/bf02120313
98 rdf:type schema:CreativeWork
99 sg:pub.10.1023/b:coll.0000009115.07793.c9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008456941
100 https://doi.org/10.1023/b:coll.0000009115.07793.c9
101 rdf:type schema:CreativeWork
102 sg:pub.10.1134/s0040579506050034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033456495
103 https://doi.org/10.1134/s0040579506050034
104 rdf:type schema:CreativeWork
105 sg:pub.10.1134/s0965544113080148 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025812173
106 https://doi.org/10.1134/s0965544113080148
107 rdf:type schema:CreativeWork
108 sg:pub.10.1134/s1061933x06020086 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033938877
109 https://doi.org/10.1134/s1061933x06020086
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1002/9783527630134.ch10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038541769
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1002/aic.690340202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006046518
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1002/sapm197150293 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005675842
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1016/0301-9322(82)90029-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032620395
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1016/j.memsci.2011.08.058 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043657902
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1016/j.memsci.2014.07.056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012022951
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1016/s0376-7388(99)00040-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1031282178
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1093/annhyg/10.1.23 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059390226
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1143/jpsj.14.527 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063092413
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1143/jpsj.22.1251 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063096026
130 rdf:type schema:CreativeWork
131 https://doi.org/10.4155/cmt.12.73 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030601332
132 rdf:type schema:CreativeWork
133 https://www.grid.ac/institutes/grid.435325.6 schema:alternateName Institute of Physical and Organic Chemistry
134 schema:name Institute of Physical Organic Chemistry, National Academy of Sciences of Belarus, ul. Surganova 13, 220072, Minsk, Belarus
135 rdf:type schema:Organization
136 https://www.grid.ac/institutes/grid.4886.2 schema:alternateName Russian Academy of Sciences
137 schema:name Frumkin Institute of Physical Chemistry and Electrochemistry, Russian Academy of Sciences, Leninskii pr. 31, 119071, Moscow, Russia
138 Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Leninskii pr. 29, 119991, Moscow, Russia
139 rdf:type schema:Organization
 




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


...