Phonon-plasmon interaction in tunneling GaAs/AlAs superlattices View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2000-06

AUTHORS

V. A. Volodin, M. D. Efremov, V. V. Preobrazhenskii, B. R. Semyagin, V. V. Bolotov, V. A. Sachkov, E. A. Galaktionov, A. V. Kretinin

ABSTRACT

The phonon-plasmon interaction in tunneling GaAsn/AlAsm superlattices (m=5and 6≥n≥0.6 monolayers) was studied by Raman scattering spectroscopy. The interaction of optical phonons localized in GaAs and AlAs layers with quasi-three-dimensional plasmons strengthens as the thickness of GaAs quantum wells decreases and the electronic states in the superlattices become delocalized due to tunneling. It is assumed that the plasmons also interact with the TO-like phonon modes localized in quantum islands or in thin ruffled layers. More... »

PAGES

477-480

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/1.1307997

DOI

http://dx.doi.org/10.1134/1.1307997

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1014050740


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/2008/0205", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Optical Physics", 
        "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": "Institute of Semiconductor Physics", 
          "id": "https://www.grid.ac/institutes/grid.450314.7", 
          "name": [
            "Institute of Semiconductor Physics, Siberian Division, Russian Academy of Sciences, pr. akademika Lavrent\u2019eva 13, 630090, Novosibirsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Volodin", 
        "givenName": "V. A.", 
        "id": "sg:person.011447316711.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011447316711.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Semiconductor Physics", 
          "id": "https://www.grid.ac/institutes/grid.450314.7", 
          "name": [
            "Institute of Semiconductor Physics, Siberian Division, Russian Academy of Sciences, pr. akademika Lavrent\u2019eva 13, 630090, Novosibirsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Efremov", 
        "givenName": "M. D.", 
        "id": "sg:person.015263206232.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015263206232.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Semiconductor Physics", 
          "id": "https://www.grid.ac/institutes/grid.450314.7", 
          "name": [
            "Institute of Semiconductor Physics, Siberian Division, Russian Academy of Sciences, pr. akademika Lavrent\u2019eva 13, 630090, Novosibirsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Preobrazhenskii", 
        "givenName": "V. V.", 
        "id": "sg:person.010664106542.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010664106542.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Semiconductor Physics", 
          "id": "https://www.grid.ac/institutes/grid.450314.7", 
          "name": [
            "Institute of Semiconductor Physics, Siberian Division, Russian Academy of Sciences, pr. akademika Lavrent\u2019eva 13, 630090, Novosibirsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Semyagin", 
        "givenName": "B. R.", 
        "id": "sg:person.011644303155.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011644303155.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.4886.2", 
          "name": [
            "Institute of Sensor Microelectronics, Siberian Division, Russian Academy of Sciences, 644077, Omsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bolotov", 
        "givenName": "V. V.", 
        "id": "sg:person.011000402756.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011000402756.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.4886.2", 
          "name": [
            "Institute of Sensor Microelectronics, Siberian Division, Russian Academy of Sciences, 644077, Omsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sachkov", 
        "givenName": "V. A.", 
        "id": "sg:person.010336443200.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010336443200.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Novosibirsk State University", 
          "id": "https://www.grid.ac/institutes/grid.4605.7", 
          "name": [
            "Novosibirsk State University, ul. Pirogova 2, 630090, Novosibirsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Galaktionov", 
        "givenName": "E. A.", 
        "id": "sg:person.010343345171.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010343345171.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Novosibirsk State University", 
          "id": "https://www.grid.ac/institutes/grid.4605.7", 
          "name": [
            "Novosibirsk State University, ul. Pirogova 2, 630090, Novosibirsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kretinin", 
        "givenName": "A. V.", 
        "id": "sg:person.0612660446.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0612660446.19"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0038-1098(77)90899-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011619071"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0038-1098(77)90899-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011619071"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0038-1098(80)90188-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038183213"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0038-1098(80)90188-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038183213"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0040-6090(95)06665-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051673181"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0749-6036(89)90080-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052778036"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0749-6036(89)90080-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052778036"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.369294", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058002237"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.25.7603", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060530926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.25.7603", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060530926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.25.7867", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060530966"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.25.7867", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060530966"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.31.2080", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060536827"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.31.2080", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060536827"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.32.955", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060539134"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.32.955", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060539134"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.35.5887", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060542629"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.35.5887", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060542629"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4028/www.scientific.net/ssp.32-33.583", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072159735"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2000-06", 
    "datePublishedReg": "2000-06-01", 
    "description": "The phonon-plasmon interaction in tunneling GaAsn/AlAsm superlattices (m=5and 6\u2265n\u22650.6 monolayers) was studied by Raman scattering spectroscopy. The interaction of optical phonons localized in GaAs and AlAs layers with quasi-three-dimensional plasmons strengthens as the thickness of GaAs quantum wells decreases and the electronic states in the superlattices become delocalized due to tunneling. It is assumed that the plasmons also interact with the TO-like phonon modes localized in quantum islands or in thin ruffled layers.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1134/1.1307997", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1052174", 
        "issn": [
          "0021-3640", 
          "1090-6487"
        ], 
        "name": "JETP Letters", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "71"
      }
    ], 
    "name": "Phonon-plasmon interaction in tunneling GaAs/AlAs superlattices", 
    "pagination": "477-480", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "42ef5149b3f93e52c5edbeb41d03e468dc39aac94c52e0dd0753689220b6d226"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/1.1307997"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1014050740"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/1.1307997", 
      "https://app.dimensions.ai/details/publication/pub.1014050740"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:06", 
    "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_8660_00000499.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1134/1.1307997"
  }
]
 

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.10.1134/1.1307997'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1134/1.1307997'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/1.1307997'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/1.1307997'


 

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

149 TRIPLES      21 PREDICATES      38 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/1.1307997 schema:about anzsrc-for:02
2 anzsrc-for:0205
3 schema:author N9ce5dd540df44fb2b3e13a9f0f8f01a7
4 schema:citation https://doi.org/10.1016/0038-1098(77)90899-7
5 https://doi.org/10.1016/0038-1098(80)90188-x
6 https://doi.org/10.1016/0040-6090(95)06665-9
7 https://doi.org/10.1016/0749-6036(89)90080-3
8 https://doi.org/10.1063/1.369294
9 https://doi.org/10.1103/physrevb.25.7603
10 https://doi.org/10.1103/physrevb.25.7867
11 https://doi.org/10.1103/physrevb.31.2080
12 https://doi.org/10.1103/physrevb.32.955
13 https://doi.org/10.1103/physrevb.35.5887
14 https://doi.org/10.4028/www.scientific.net/ssp.32-33.583
15 schema:datePublished 2000-06
16 schema:datePublishedReg 2000-06-01
17 schema:description The phonon-plasmon interaction in tunneling GaAsn/AlAsm superlattices (m=5and 6≥n≥0.6 monolayers) was studied by Raman scattering spectroscopy. The interaction of optical phonons localized in GaAs and AlAs layers with quasi-three-dimensional plasmons strengthens as the thickness of GaAs quantum wells decreases and the electronic states in the superlattices become delocalized due to tunneling. It is assumed that the plasmons also interact with the TO-like phonon modes localized in quantum islands or in thin ruffled layers.
18 schema:genre research_article
19 schema:inLanguage en
20 schema:isAccessibleForFree false
21 schema:isPartOf Nd00a622afa904fac89de812c6ee5c018
22 Nf01a49fe86cb4fd6b2505c857c2e17f5
23 sg:journal.1052174
24 schema:name Phonon-plasmon interaction in tunneling GaAs/AlAs superlattices
25 schema:pagination 477-480
26 schema:productId N6b9a0af47a514ff4a2d54c71cd5f12ae
27 N9a246c39379749ffb4fa32dd31b301f1
28 Na9f4217044e947e08326fa45f6f0eec0
29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014050740
30 https://doi.org/10.1134/1.1307997
31 schema:sdDatePublished 2019-04-10T14:06
32 schema:sdLicense https://scigraph.springernature.com/explorer/license/
33 schema:sdPublisher N60c84ebf6e3840f3a1a235bc17c72efb
34 schema:url http://link.springer.com/10.1134/1.1307997
35 sgo:license sg:explorer/license/
36 sgo:sdDataset articles
37 rdf:type schema:ScholarlyArticle
38 N0aa41f20196e4c24bb0d5a6450d31306 rdf:first sg:person.015263206232.10
39 rdf:rest N967115be6c8c421b94633bd01858ce46
40 N33d7a4d57e964ad1893d34caaac09693 rdf:first sg:person.011000402756.47
41 rdf:rest N846f394c87d7417c92839c185a44d815
42 N60c84ebf6e3840f3a1a235bc17c72efb schema:name Springer Nature - SN SciGraph project
43 rdf:type schema:Organization
44 N666936d31ba34eedacf684d6e5528891 rdf:first sg:person.0612660446.19
45 rdf:rest rdf:nil
46 N6b9a0af47a514ff4a2d54c71cd5f12ae schema:name readcube_id
47 schema:value 42ef5149b3f93e52c5edbeb41d03e468dc39aac94c52e0dd0753689220b6d226
48 rdf:type schema:PropertyValue
49 N846f394c87d7417c92839c185a44d815 rdf:first sg:person.010336443200.72
50 rdf:rest Nb71050e675324394a46246a231dc9922
51 N967115be6c8c421b94633bd01858ce46 rdf:first sg:person.010664106542.73
52 rdf:rest Nb59093036244453695e426143669e22e
53 N9a246c39379749ffb4fa32dd31b301f1 schema:name doi
54 schema:value 10.1134/1.1307997
55 rdf:type schema:PropertyValue
56 N9ce5dd540df44fb2b3e13a9f0f8f01a7 rdf:first sg:person.011447316711.83
57 rdf:rest N0aa41f20196e4c24bb0d5a6450d31306
58 Na9f4217044e947e08326fa45f6f0eec0 schema:name dimensions_id
59 schema:value pub.1014050740
60 rdf:type schema:PropertyValue
61 Nb59093036244453695e426143669e22e rdf:first sg:person.011644303155.87
62 rdf:rest N33d7a4d57e964ad1893d34caaac09693
63 Nb71050e675324394a46246a231dc9922 rdf:first sg:person.010343345171.90
64 rdf:rest N666936d31ba34eedacf684d6e5528891
65 Nd00a622afa904fac89de812c6ee5c018 schema:issueNumber 11
66 rdf:type schema:PublicationIssue
67 Nf01a49fe86cb4fd6b2505c857c2e17f5 schema:volumeNumber 71
68 rdf:type schema:PublicationVolume
69 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
70 schema:name Physical Sciences
71 rdf:type schema:DefinedTerm
72 anzsrc-for:0205 schema:inDefinedTermSet anzsrc-for:
73 schema:name Optical Physics
74 rdf:type schema:DefinedTerm
75 sg:journal.1052174 schema:issn 0021-3640
76 1090-6487
77 schema:name JETP Letters
78 rdf:type schema:Periodical
79 sg:person.010336443200.72 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
80 schema:familyName Sachkov
81 schema:givenName V. A.
82 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010336443200.72
83 rdf:type schema:Person
84 sg:person.010343345171.90 schema:affiliation https://www.grid.ac/institutes/grid.4605.7
85 schema:familyName Galaktionov
86 schema:givenName E. A.
87 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010343345171.90
88 rdf:type schema:Person
89 sg:person.010664106542.73 schema:affiliation https://www.grid.ac/institutes/grid.450314.7
90 schema:familyName Preobrazhenskii
91 schema:givenName V. V.
92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010664106542.73
93 rdf:type schema:Person
94 sg:person.011000402756.47 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
95 schema:familyName Bolotov
96 schema:givenName V. V.
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011000402756.47
98 rdf:type schema:Person
99 sg:person.011447316711.83 schema:affiliation https://www.grid.ac/institutes/grid.450314.7
100 schema:familyName Volodin
101 schema:givenName V. A.
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011447316711.83
103 rdf:type schema:Person
104 sg:person.011644303155.87 schema:affiliation https://www.grid.ac/institutes/grid.450314.7
105 schema:familyName Semyagin
106 schema:givenName B. R.
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011644303155.87
108 rdf:type schema:Person
109 sg:person.015263206232.10 schema:affiliation https://www.grid.ac/institutes/grid.450314.7
110 schema:familyName Efremov
111 schema:givenName M. D.
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015263206232.10
113 rdf:type schema:Person
114 sg:person.0612660446.19 schema:affiliation https://www.grid.ac/institutes/grid.4605.7
115 schema:familyName Kretinin
116 schema:givenName A. V.
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0612660446.19
118 rdf:type schema:Person
119 https://doi.org/10.1016/0038-1098(77)90899-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011619071
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1016/0038-1098(80)90188-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1038183213
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1016/0040-6090(95)06665-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051673181
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1016/0749-6036(89)90080-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052778036
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1063/1.369294 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058002237
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1103/physrevb.25.7603 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060530926
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1103/physrevb.25.7867 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060530966
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1103/physrevb.31.2080 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060536827
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1103/physrevb.32.955 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060539134
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1103/physrevb.35.5887 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060542629
138 rdf:type schema:CreativeWork
139 https://doi.org/10.4028/www.scientific.net/ssp.32-33.583 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072159735
140 rdf:type schema:CreativeWork
141 https://www.grid.ac/institutes/grid.450314.7 schema:alternateName Institute of Semiconductor Physics
142 schema:name Institute of Semiconductor Physics, Siberian Division, Russian Academy of Sciences, pr. akademika Lavrent’eva 13, 630090, Novosibirsk, Russia
143 rdf:type schema:Organization
144 https://www.grid.ac/institutes/grid.4605.7 schema:alternateName Novosibirsk State University
145 schema:name Novosibirsk State University, ul. Pirogova 2, 630090, Novosibirsk, Russia
146 rdf:type schema:Organization
147 https://www.grid.ac/institutes/grid.4886.2 schema:alternateName Russian Academy of Sciences
148 schema:name Institute of Sensor Microelectronics, Siberian Division, Russian Academy of Sciences, 644077, Omsk, Russia
149 rdf:type schema:Organization
 




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


...