Parametric Resonance and Energy Transfer in Dusty Plasma View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-09

AUTHORS

V. P. Semyonov, A. V. Timofeev

ABSTRACT

Model allowing analytical and numerical studies of a dusty plasma system is used to describe the dynamics of a monolayer of dusty particles. The mechanism of energy transfer between horizontal and vertical particle motion based on parametric resonance is described by the extended Mathieu equation. The resonance regions and growth rates of dust particles energy are obtained. The conditions for the occurrence of resonance and the initial stage of energy transfer are described more precisely based on the analysis of the obtained data. It is shown that a wide spectrum of dust particle oscillations participates in the system heating. The harmonics contributing the most to this process are determined. More... »

PAGES

539-550

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s2070048218050101

DOI

http://dx.doi.org/10.1134/s2070048218050101

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107132274


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/2008/0299", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Other Physical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/02", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Joint Institute for High Temperatures", 
          "id": "https://www.grid.ac/institutes/grid.435259.c", 
          "name": [
            "National Research University Higher School of Economics, Moscow, Russia", 
            "Joint Institute for High Temperatures, Russian Academy of Sciences, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Semyonov", 
        "givenName": "V. P.", 
        "id": "sg:person.016111612333.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016111612333.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Joint Institute for High Temperatures", 
          "id": "https://www.grid.ac/institutes/grid.435259.c", 
          "name": [
            "National Research University Higher School of Economics, Moscow, Russia", 
            "Joint Institute for High Temperatures, Russian Academy of Sciences, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Timofeev", 
        "givenName": "A. V.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1088/1742-6596/653/1/012137", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002887544"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s1063776111130073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009641197", 
          "https://doi.org/10.1134/s1063776111130073"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s1028335812100023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010284071", 
          "https://doi.org/10.1134/s1028335812100023"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s1063776115100210", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013060874", 
          "https://doi.org/10.1134/s1063776115100210"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1742-6596/681/1/012025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015425716"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/1.1591215", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017351654", 
          "https://doi.org/10.1134/1.1591215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ctpp.201010118", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017460878"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s1063776106060124", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027808221", 
          "https://doi.org/10.1134/s1063776106060124"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/1.558739", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030885704", 
          "https://doi.org/10.1134/1.558739"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s2070048213040108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031145926", 
          "https://doi.org/10.1134/s2070048213040108"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1034604413", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-009-1033-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034604413", 
          "https://doi.org/10.1007/978-94-009-1033-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-009-1033-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034604413", 
          "https://doi.org/10.1007/978-94-009-1033-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1742-6596/653/1/012138", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038372003"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.104.195001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039098739"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.104.195001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039098739"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1039375883", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-29003-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039375883", 
          "https://doi.org/10.1007/978-3-540-29003-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-29003-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039375883", 
          "https://doi.org/10.1007/978-3-540-29003-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1751-8113/40/24/f06", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043679404"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12043-013-0595-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048155307", 
          "https://doi.org/10.1007/s12043-013-0595-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1286988", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057691367"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1512656", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057714734"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1954607", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057833952"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.2041327", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057836474"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1070/pu2004v047n05abeh001689", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058173627"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1367-2630/8/9/201", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059138377"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.53.2757", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060719087"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.53.2757", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060719087"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.54.4155", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060719906"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.54.4155", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060719906"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.61.3033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060724928"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.61.3033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060724928"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.62.2739", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060725560"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.62.2739", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060725560"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.64.025402", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060727139"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.64.025402", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060727139"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.84.056401", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060742771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.84.056401", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060742771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.83.1970", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060819966"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.83.1970", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060819966"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tps.2015.2505002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061769999"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1209/0295-5075/111/50003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064227068"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-09", 
    "datePublishedReg": "2018-09-01", 
    "description": "Model allowing analytical and numerical studies of a dusty plasma system is used to describe the dynamics of a monolayer of dusty particles. The mechanism of energy transfer between horizontal and vertical particle motion based on parametric resonance is described by the extended Mathieu equation. The resonance regions and growth rates of dust particles energy are obtained. The conditions for the occurrence of resonance and the initial stage of energy transfer are described more precisely based on the analysis of the obtained data. It is shown that a wide spectrum of dust particle oscillations participates in the system heating. The harmonics contributing the most to this process are determined.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1134/s2070048218050101", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136488", 
        "issn": [
          "2070-0482", 
          "2070-0490"
        ], 
        "name": "Mathematical Models and Computer Simulations", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "10"
      }
    ], 
    "name": "Parametric Resonance and Energy Transfer in Dusty Plasma", 
    "pagination": "539-550", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b0949dcaa0736404e670ec0739010242ff9cbd664a387400a9e46ae8d9f58cde"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s2070048218050101"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1107132274"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s2070048218050101", 
      "https://app.dimensions.ai/details/publication/pub.1107132274"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T16:47", 
    "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_8669_00000535.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1134%2FS2070048218050101"
  }
]
 

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/s2070048218050101'

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/s2070048218050101'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s2070048218050101'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s2070048218050101'


 

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

175 TRIPLES      21 PREDICATES      60 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s2070048218050101 schema:about anzsrc-for:02
2 anzsrc-for:0299
3 schema:author N436f84ddb56841a6aa253dfe41e790d3
4 schema:citation sg:pub.10.1007/978-3-540-29003-2
5 sg:pub.10.1007/978-94-009-1033-1
6 sg:pub.10.1007/s12043-013-0595-3
7 sg:pub.10.1134/1.1591215
8 sg:pub.10.1134/1.558739
9 sg:pub.10.1134/s1028335812100023
10 sg:pub.10.1134/s1063776106060124
11 sg:pub.10.1134/s1063776111130073
12 sg:pub.10.1134/s1063776115100210
13 sg:pub.10.1134/s2070048213040108
14 https://app.dimensions.ai/details/publication/pub.1034604413
15 https://app.dimensions.ai/details/publication/pub.1039375883
16 https://doi.org/10.1002/ctpp.201010118
17 https://doi.org/10.1063/1.1286988
18 https://doi.org/10.1063/1.1512656
19 https://doi.org/10.1063/1.1954607
20 https://doi.org/10.1063/1.2041327
21 https://doi.org/10.1070/pu2004v047n05abeh001689
22 https://doi.org/10.1088/1367-2630/8/9/201
23 https://doi.org/10.1088/1742-6596/653/1/012137
24 https://doi.org/10.1088/1742-6596/653/1/012138
25 https://doi.org/10.1088/1742-6596/681/1/012025
26 https://doi.org/10.1088/1751-8113/40/24/f06
27 https://doi.org/10.1103/physreve.53.2757
28 https://doi.org/10.1103/physreve.54.4155
29 https://doi.org/10.1103/physreve.61.3033
30 https://doi.org/10.1103/physreve.62.2739
31 https://doi.org/10.1103/physreve.64.025402
32 https://doi.org/10.1103/physreve.84.056401
33 https://doi.org/10.1103/physrevlett.104.195001
34 https://doi.org/10.1103/physrevlett.83.1970
35 https://doi.org/10.1109/tps.2015.2505002
36 https://doi.org/10.1209/0295-5075/111/50003
37 schema:datePublished 2018-09
38 schema:datePublishedReg 2018-09-01
39 schema:description Model allowing analytical and numerical studies of a dusty plasma system is used to describe the dynamics of a monolayer of dusty particles. The mechanism of energy transfer between horizontal and vertical particle motion based on parametric resonance is described by the extended Mathieu equation. The resonance regions and growth rates of dust particles energy are obtained. The conditions for the occurrence of resonance and the initial stage of energy transfer are described more precisely based on the analysis of the obtained data. It is shown that a wide spectrum of dust particle oscillations participates in the system heating. The harmonics contributing the most to this process are determined.
40 schema:genre research_article
41 schema:inLanguage en
42 schema:isAccessibleForFree false
43 schema:isPartOf N7420534120b94ef5adc85661f1161a34
44 N7435ad44e37e4cc9afe9d039fd0b63a4
45 sg:journal.1136488
46 schema:name Parametric Resonance and Energy Transfer in Dusty Plasma
47 schema:pagination 539-550
48 schema:productId N42f5916bdc0b413ba0a0d448b62c4711
49 Nf69c2a9fb01d4b12b4dde9e55a2c863c
50 Nff36605957e544afb02ef315501d9228
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107132274
52 https://doi.org/10.1134/s2070048218050101
53 schema:sdDatePublished 2019-04-10T16:47
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher N0725d39e3fcf4ea9874b0194e8349041
56 schema:url http://link.springer.com/10.1134%2FS2070048218050101
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N0725d39e3fcf4ea9874b0194e8349041 schema:name Springer Nature - SN SciGraph project
61 rdf:type schema:Organization
62 N42f5916bdc0b413ba0a0d448b62c4711 schema:name doi
63 schema:value 10.1134/s2070048218050101
64 rdf:type schema:PropertyValue
65 N436f84ddb56841a6aa253dfe41e790d3 rdf:first sg:person.016111612333.44
66 rdf:rest Nb1b96addebb34df2a6db86573561ccc5
67 N59116d12e708458c881e5e0f0c8ce235 schema:affiliation https://www.grid.ac/institutes/grid.435259.c
68 schema:familyName Timofeev
69 schema:givenName A. V.
70 rdf:type schema:Person
71 N7420534120b94ef5adc85661f1161a34 schema:issueNumber 5
72 rdf:type schema:PublicationIssue
73 N7435ad44e37e4cc9afe9d039fd0b63a4 schema:volumeNumber 10
74 rdf:type schema:PublicationVolume
75 Nb1b96addebb34df2a6db86573561ccc5 rdf:first N59116d12e708458c881e5e0f0c8ce235
76 rdf:rest rdf:nil
77 Nf69c2a9fb01d4b12b4dde9e55a2c863c schema:name dimensions_id
78 schema:value pub.1107132274
79 rdf:type schema:PropertyValue
80 Nff36605957e544afb02ef315501d9228 schema:name readcube_id
81 schema:value b0949dcaa0736404e670ec0739010242ff9cbd664a387400a9e46ae8d9f58cde
82 rdf:type schema:PropertyValue
83 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
84 schema:name Physical Sciences
85 rdf:type schema:DefinedTerm
86 anzsrc-for:0299 schema:inDefinedTermSet anzsrc-for:
87 schema:name Other Physical Sciences
88 rdf:type schema:DefinedTerm
89 sg:journal.1136488 schema:issn 2070-0482
90 2070-0490
91 schema:name Mathematical Models and Computer Simulations
92 rdf:type schema:Periodical
93 sg:person.016111612333.44 schema:affiliation https://www.grid.ac/institutes/grid.435259.c
94 schema:familyName Semyonov
95 schema:givenName V. P.
96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016111612333.44
97 rdf:type schema:Person
98 sg:pub.10.1007/978-3-540-29003-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039375883
99 https://doi.org/10.1007/978-3-540-29003-2
100 rdf:type schema:CreativeWork
101 sg:pub.10.1007/978-94-009-1033-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034604413
102 https://doi.org/10.1007/978-94-009-1033-1
103 rdf:type schema:CreativeWork
104 sg:pub.10.1007/s12043-013-0595-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048155307
105 https://doi.org/10.1007/s12043-013-0595-3
106 rdf:type schema:CreativeWork
107 sg:pub.10.1134/1.1591215 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017351654
108 https://doi.org/10.1134/1.1591215
109 rdf:type schema:CreativeWork
110 sg:pub.10.1134/1.558739 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030885704
111 https://doi.org/10.1134/1.558739
112 rdf:type schema:CreativeWork
113 sg:pub.10.1134/s1028335812100023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010284071
114 https://doi.org/10.1134/s1028335812100023
115 rdf:type schema:CreativeWork
116 sg:pub.10.1134/s1063776106060124 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027808221
117 https://doi.org/10.1134/s1063776106060124
118 rdf:type schema:CreativeWork
119 sg:pub.10.1134/s1063776111130073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009641197
120 https://doi.org/10.1134/s1063776111130073
121 rdf:type schema:CreativeWork
122 sg:pub.10.1134/s1063776115100210 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013060874
123 https://doi.org/10.1134/s1063776115100210
124 rdf:type schema:CreativeWork
125 sg:pub.10.1134/s2070048213040108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031145926
126 https://doi.org/10.1134/s2070048213040108
127 rdf:type schema:CreativeWork
128 https://app.dimensions.ai/details/publication/pub.1034604413 schema:CreativeWork
129 https://app.dimensions.ai/details/publication/pub.1039375883 schema:CreativeWork
130 https://doi.org/10.1002/ctpp.201010118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017460878
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1063/1.1286988 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057691367
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1063/1.1512656 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057714734
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1063/1.1954607 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057833952
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1063/1.2041327 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057836474
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1070/pu2004v047n05abeh001689 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058173627
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1088/1367-2630/8/9/201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059138377
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1088/1742-6596/653/1/012137 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002887544
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1088/1742-6596/653/1/012138 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038372003
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1088/1742-6596/681/1/012025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015425716
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1088/1751-8113/40/24/f06 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043679404
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1103/physreve.53.2757 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060719087
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1103/physreve.54.4155 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060719906
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1103/physreve.61.3033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060724928
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1103/physreve.62.2739 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060725560
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1103/physreve.64.025402 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060727139
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1103/physreve.84.056401 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060742771
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1103/physrevlett.104.195001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039098739
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1103/physrevlett.83.1970 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060819966
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1109/tps.2015.2505002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061769999
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1209/0295-5075/111/50003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064227068
171 rdf:type schema:CreativeWork
172 https://www.grid.ac/institutes/grid.435259.c schema:alternateName Joint Institute for High Temperatures
173 schema:name Joint Institute for High Temperatures, Russian Academy of Sciences, Moscow, Russia
174 National Research University Higher School of Economics, Moscow, Russia
175 rdf:type schema:Organization
 




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


...