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 N5e13f177d30041df9d81966ff59457fe
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 N6fe7ceb62f9d4741b010b7569d24801b
22 Neaa8ed0c02d7443cb878ec6b601427e9
23 sg:journal.1052174
24 schema:name Phonon-plasmon interaction in tunneling GaAs/AlAs superlattices
25 schema:pagination 477-480
26 schema:productId N306ea117830d43a188e978fdc417acf7
27 N30b74a6bd7364e4989465d334d0cd453
28 N47c67f7d45a845b2a7ebdd70c5cf78b6
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 N7aace4fc57b045228bd73a7769a67c5a
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 N282165a0b55047deb01fd8e198b370a6 rdf:first sg:person.0612660446.19
39 rdf:rest rdf:nil
40 N306ea117830d43a188e978fdc417acf7 schema:name readcube_id
41 schema:value 42ef5149b3f93e52c5edbeb41d03e468dc39aac94c52e0dd0753689220b6d226
42 rdf:type schema:PropertyValue
43 N30b74a6bd7364e4989465d334d0cd453 schema:name dimensions_id
44 schema:value pub.1014050740
45 rdf:type schema:PropertyValue
46 N45031017c506449d8dc611a773e8dfb4 rdf:first sg:person.010343345171.90
47 rdf:rest N282165a0b55047deb01fd8e198b370a6
48 N47c67f7d45a845b2a7ebdd70c5cf78b6 schema:name doi
49 schema:value 10.1134/1.1307997
50 rdf:type schema:PropertyValue
51 N5dbfa2e31ab14afb94215d41e82fc045 rdf:first sg:person.011644303155.87
52 rdf:rest N717af24a69a446cbbad16ec93264ed9b
53 N5e13f177d30041df9d81966ff59457fe rdf:first sg:person.011447316711.83
54 rdf:rest Ndbb224b572ca4581abc6babc7a5e508e
55 N6fe7ceb62f9d4741b010b7569d24801b schema:volumeNumber 71
56 rdf:type schema:PublicationVolume
57 N717af24a69a446cbbad16ec93264ed9b rdf:first sg:person.011000402756.47
58 rdf:rest Na85c3ca61b3c4107aedf42433386c71a
59 N7aace4fc57b045228bd73a7769a67c5a schema:name Springer Nature - SN SciGraph project
60 rdf:type schema:Organization
61 Na85c3ca61b3c4107aedf42433386c71a rdf:first sg:person.010336443200.72
62 rdf:rest N45031017c506449d8dc611a773e8dfb4
63 Ndbb224b572ca4581abc6babc7a5e508e rdf:first sg:person.015263206232.10
64 rdf:rest Nf5aec1677d8847d4a851ab793bf7186d
65 Neaa8ed0c02d7443cb878ec6b601427e9 schema:issueNumber 11
66 rdf:type schema:PublicationIssue
67 Nf5aec1677d8847d4a851ab793bf7186d rdf:first sg:person.010664106542.73
68 rdf:rest N5dbfa2e31ab14afb94215d41e82fc045
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)


...