Large-scale flow in two-dimensional turbulence at static pumping View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-11

AUTHORS

I. V. Kolokolov, V. V. Lebedev

ABSTRACT

Two-dimensional turbulence has the striking tendency to self-organize into large-scale, coherent structures due to the inverse energy cascade. Here, we theoretically examine the case of a static pumping where the exciting force is independent of time; the case corresponds to the usual experimental setup. We establish dependence of the large-scale flow on the system parameters and the pumping characteristics for an unbound system and for a finite box. More... »

PAGES

659-661

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s0021364017220027

DOI

http://dx.doi.org/10.1134/s0021364017220027

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092674813


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/2008/0915", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Interdisciplinary 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": [
            "Landau Institute for Theoretical Physics, Russian Academy of Sciences, 142432, Chernogolovka, Moscow region, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kolokolov", 
        "givenName": "I. V.", 
        "id": "sg:person.01036272424.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01036272424.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Research University Higher School of Economics", 
          "id": "https://www.grid.ac/institutes/grid.410682.9", 
          "name": [
            "National Research University Higher School of Economics, 101000, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lebedev", 
        "givenName": "V. V.", 
        "id": "sg:person.01175464362.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01175464362.06"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1017/s0022112094002065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001466553"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0021364015030066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010047157", 
          "https://doi.org/10.1134/s0021364015030066"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0034-4885/43/5/001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014954235"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev-fluid-120710-101240", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030091373"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.113.254503", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035953424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.113.254503", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035953424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0370-1573(01)00064-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036571169"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1751-8113/42/12/123001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037001825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevx.4.021021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037770454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevx.4.021021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037770454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.99.084501", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038044757"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.99.084501", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038044757"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0022112086000836", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043688707"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s106377611108005x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045444562", 
          "https://doi.org/10.1134/s106377611108005x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.61.r29", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051949169"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.61.r29", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051949169"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/jfm.2016.699", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053830640"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/jfm.2016.699", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053830640"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1691968", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057763765"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1692443", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057764224"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1762301", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057817349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.3275861", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057929754"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.93.033104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060749326"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.93.033104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060749326"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.71.352", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060808039"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.71.352", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060808039"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.72.1475", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060808566"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.72.1475", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060808566"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevfluids.2.032602", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084199020"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevfluids.2.032602", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084199020"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9781139171281", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098663993"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-11", 
    "datePublishedReg": "2017-11-01", 
    "description": "Two-dimensional turbulence has the striking tendency to self-organize into large-scale, coherent structures due to the inverse energy cascade. Here, we theoretically examine the case of a static pumping where the exciting force is independent of time; the case corresponds to the usual experimental setup. We establish dependence of the large-scale flow on the system parameters and the pumping characteristics for an unbound system and for a finite box.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1134/s0021364017220027", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1052174", 
        "issn": [
          "0021-3640", 
          "1090-6487"
        ], 
        "name": "JETP Letters", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "10", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "106"
      }
    ], 
    "name": "Large-scale flow in two-dimensional turbulence at static pumping", 
    "pagination": "659-661", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "14595ae3578e4f256d7407debc25fc78821fce59824a8ff6e82e59de3a3e3e80"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s0021364017220027"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1092674813"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s0021364017220027", 
      "https://app.dimensions.ai/details/publication/pub.1092674813"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T13:10", 
    "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_00000493.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1134/S0021364017220027"
  }
]
 

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/s0021364017220027'

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/s0021364017220027'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s0021364017220027'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s0021364017220027'


 

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

139 TRIPLES      21 PREDICATES      49 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s0021364017220027 schema:about anzsrc-for:09
2 anzsrc-for:0915
3 schema:author N9806db7990da43f0940849c0bcc91021
4 schema:citation sg:pub.10.1134/s0021364015030066
5 sg:pub.10.1134/s106377611108005x
6 https://doi.org/10.1016/s0370-1573(01)00064-3
7 https://doi.org/10.1017/cbo9781139171281
8 https://doi.org/10.1017/jfm.2016.699
9 https://doi.org/10.1017/s0022112086000836
10 https://doi.org/10.1017/s0022112094002065
11 https://doi.org/10.1063/1.1691968
12 https://doi.org/10.1063/1.1692443
13 https://doi.org/10.1063/1.1762301
14 https://doi.org/10.1063/1.3275861
15 https://doi.org/10.1088/0034-4885/43/5/001
16 https://doi.org/10.1088/1751-8113/42/12/123001
17 https://doi.org/10.1103/physreve.61.r29
18 https://doi.org/10.1103/physreve.93.033104
19 https://doi.org/10.1103/physrevfluids.2.032602
20 https://doi.org/10.1103/physrevlett.113.254503
21 https://doi.org/10.1103/physrevlett.71.352
22 https://doi.org/10.1103/physrevlett.72.1475
23 https://doi.org/10.1103/physrevlett.99.084501
24 https://doi.org/10.1103/physrevx.4.021021
25 https://doi.org/10.1146/annurev-fluid-120710-101240
26 schema:datePublished 2017-11
27 schema:datePublishedReg 2017-11-01
28 schema:description Two-dimensional turbulence has the striking tendency to self-organize into large-scale, coherent structures due to the inverse energy cascade. Here, we theoretically examine the case of a static pumping where the exciting force is independent of time; the case corresponds to the usual experimental setup. We establish dependence of the large-scale flow on the system parameters and the pumping characteristics for an unbound system and for a finite box.
29 schema:genre research_article
30 schema:inLanguage en
31 schema:isAccessibleForFree false
32 schema:isPartOf N14b02e5b43e043299df1dad2c8198fbf
33 N82e7b0ec1ac648d7b187ce7c7239f19d
34 sg:journal.1052174
35 schema:name Large-scale flow in two-dimensional turbulence at static pumping
36 schema:pagination 659-661
37 schema:productId N2bc83de9bd34407783536347c156f98f
38 N82777e07f7924e898ae17be0130a31d1
39 Nc8f6e9241246483f92e135410965ad9f
40 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092674813
41 https://doi.org/10.1134/s0021364017220027
42 schema:sdDatePublished 2019-04-10T13:10
43 schema:sdLicense https://scigraph.springernature.com/explorer/license/
44 schema:sdPublisher Nea91ccf4690e4d25b9dd252f57d4c520
45 schema:url http://link.springer.com/10.1134/S0021364017220027
46 sgo:license sg:explorer/license/
47 sgo:sdDataset articles
48 rdf:type schema:ScholarlyArticle
49 N14b02e5b43e043299df1dad2c8198fbf schema:issueNumber 10
50 rdf:type schema:PublicationIssue
51 N2bc83de9bd34407783536347c156f98f schema:name readcube_id
52 schema:value 14595ae3578e4f256d7407debc25fc78821fce59824a8ff6e82e59de3a3e3e80
53 rdf:type schema:PropertyValue
54 N82777e07f7924e898ae17be0130a31d1 schema:name dimensions_id
55 schema:value pub.1092674813
56 rdf:type schema:PropertyValue
57 N82e7b0ec1ac648d7b187ce7c7239f19d schema:volumeNumber 106
58 rdf:type schema:PublicationVolume
59 N9806db7990da43f0940849c0bcc91021 rdf:first sg:person.01036272424.88
60 rdf:rest Nf4791d95940c486f8fc58e4d902c2c0a
61 Nc8f6e9241246483f92e135410965ad9f schema:name doi
62 schema:value 10.1134/s0021364017220027
63 rdf:type schema:PropertyValue
64 Nea91ccf4690e4d25b9dd252f57d4c520 schema:name Springer Nature - SN SciGraph project
65 rdf:type schema:Organization
66 Nf4791d95940c486f8fc58e4d902c2c0a rdf:first sg:person.01175464362.06
67 rdf:rest rdf:nil
68 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
69 schema:name Engineering
70 rdf:type schema:DefinedTerm
71 anzsrc-for:0915 schema:inDefinedTermSet anzsrc-for:
72 schema:name Interdisciplinary Engineering
73 rdf:type schema:DefinedTerm
74 sg:journal.1052174 schema:issn 0021-3640
75 1090-6487
76 schema:name JETP Letters
77 rdf:type schema:Periodical
78 sg:person.01036272424.88 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
79 schema:familyName Kolokolov
80 schema:givenName I. V.
81 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01036272424.88
82 rdf:type schema:Person
83 sg:person.01175464362.06 schema:affiliation https://www.grid.ac/institutes/grid.410682.9
84 schema:familyName Lebedev
85 schema:givenName V. V.
86 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01175464362.06
87 rdf:type schema:Person
88 sg:pub.10.1134/s0021364015030066 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010047157
89 https://doi.org/10.1134/s0021364015030066
90 rdf:type schema:CreativeWork
91 sg:pub.10.1134/s106377611108005x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045444562
92 https://doi.org/10.1134/s106377611108005x
93 rdf:type schema:CreativeWork
94 https://doi.org/10.1016/s0370-1573(01)00064-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036571169
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1017/cbo9781139171281 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098663993
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1017/jfm.2016.699 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053830640
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1017/s0022112086000836 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043688707
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1017/s0022112094002065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001466553
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1063/1.1691968 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057763765
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1063/1.1692443 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057764224
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1063/1.1762301 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057817349
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1063/1.3275861 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057929754
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1088/0034-4885/43/5/001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014954235
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1088/1751-8113/42/12/123001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037001825
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1103/physreve.61.r29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051949169
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1103/physreve.93.033104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060749326
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1103/physrevfluids.2.032602 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084199020
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1103/physrevlett.113.254503 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035953424
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1103/physrevlett.71.352 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060808039
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1103/physrevlett.72.1475 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060808566
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1103/physrevlett.99.084501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038044757
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1103/physrevx.4.021021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037770454
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1146/annurev-fluid-120710-101240 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030091373
133 rdf:type schema:CreativeWork
134 https://www.grid.ac/institutes/grid.410682.9 schema:alternateName National Research University Higher School of Economics
135 schema:name National Research University Higher School of Economics, 101000, Moscow, Russia
136 rdf:type schema:Organization
137 https://www.grid.ac/institutes/grid.4886.2 schema:alternateName Russian Academy of Sciences
138 schema:name Landau Institute for Theoretical Physics, Russian Academy of Sciences, 142432, Chernogolovka, Moscow region, Russia
139 rdf:type schema:Organization
 




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


...