Plasmon resonance in new AsSb–AlGaAs metal–semiconductor metamaterials View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-12

AUTHORS

V. I. Ushanov, V. V. Chaldyshev, N. A. Bert, V. N. Nevedomsky, N. D. Il’inskaya, N. M. Lebedeva, V. V. Preobrazhenskii, M. A. Putyato, B. R. Semyagin

ABSTRACT

Optical extinction in a metal–semiconductor metamaterial based on a AlGaAs matrix, which contains random arrays of AsSb plasmon nanoinclusions, is studied. The metamaterial is grown by molecular beam epitaxy at a low temperature. A system of nanoinclusions of various sizes is formed by annealing at temperatures 400, 500, and 600°C. Investigation of the sample’s microstructure by transmission electron microscopy shows that the average size of nanoinclusions at the used annealing temperatures is 4–7, 5–8, and 6–9 nm, respectively. It is shown experimentally that AsSb nanoparticle arrays in the AlGaAs matrix cause the resonant absorption of light. It is established that the plasmon-resonance parameters found in the metamaterial are almost independent of the sizes of the AsSb nanoinclusions. The plasmon-resonance energy is (1.47 ± 0.01) eV, while its full width at half maximum is (0.19 ± 0.01) eV. More... »

PAGES

1587-1591

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s1063782615120234

DOI

http://dx.doi.org/10.1134/s1063782615120234

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1051570058


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/2008/0912", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Materials 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": "Ioffe Institute", 
          "id": "https://www.grid.ac/institutes/grid.423485.c", 
          "name": [
            "Ioffe Institute, Russian Academy of Sciences, ul. Politekhnicheskaya 26, 194021, St. Petersburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ushanov", 
        "givenName": "V. I.", 
        "id": "sg:person.010704414445.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010704414445.62"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ioffe Institute", 
          "id": "https://www.grid.ac/institutes/grid.423485.c", 
          "name": [
            "Ioffe Institute, Russian Academy of Sciences, ul. Politekhnicheskaya 26, 194021, St. Petersburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chaldyshev", 
        "givenName": "V. V.", 
        "id": "sg:person.010716755351.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010716755351.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ioffe Institute", 
          "id": "https://www.grid.ac/institutes/grid.423485.c", 
          "name": [
            "Ioffe Institute, Russian Academy of Sciences, ul. Politekhnicheskaya 26, 194021, St. Petersburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bert", 
        "givenName": "N. A.", 
        "id": "sg:person.010314101551.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010314101551.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ioffe Institute", 
          "id": "https://www.grid.ac/institutes/grid.423485.c", 
          "name": [
            "Ioffe Institute, Russian Academy of Sciences, ul. Politekhnicheskaya 26, 194021, St. Petersburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nevedomsky", 
        "givenName": "V. N.", 
        "id": "sg:person.016115556605.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016115556605.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ioffe Institute", 
          "id": "https://www.grid.ac/institutes/grid.423485.c", 
          "name": [
            "Ioffe Institute, Russian Academy of Sciences, ul. Politekhnicheskaya 26, 194021, St. Petersburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Il\u2019inskaya", 
        "givenName": "N. D.", 
        "id": "sg:person.010015773715.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010015773715.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ioffe Institute", 
          "id": "https://www.grid.ac/institutes/grid.423485.c", 
          "name": [
            "Ioffe Institute, Russian Academy of Sciences, ul. Politekhnicheskaya 26, 194021, St. Petersburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lebedeva", 
        "givenName": "N. M.", 
        "id": "sg:person.011260123477.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011260123477.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Semiconductor Physics", 
          "id": "https://www.grid.ac/institutes/grid.450314.7", 
          "name": [
            "Institute of Semiconductor Physics, Siberian Branch, 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 Branch, Russian Academy of Sciences, pr. Akademika Lavrent\u2019eva 13, 630090, Novosibirsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Putyato", 
        "givenName": "M. A.", 
        "id": "sg:person.015271274417.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015271274417.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Semiconductor Physics", 
          "id": "https://www.grid.ac/institutes/grid.450314.7", 
          "name": [
            "Institute of Semiconductor Physics, Siberian Branch, 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"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1107/s2052519213000183", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010966535"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/1.1187352", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011541716", 
          "https://doi.org/10.1134/1.1187352"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s1063782613080198", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017057812", 
          "https://doi.org/10.1134/s1063782613080198"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0921-5107(01)00904-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021255487"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s1063782612100089", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025263844", 
          "https://doi.org/10.1134/s1063782612100089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0022-3727/34/10a/304", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031064388"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s106378341410031x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050280192", 
          "https://doi.org/10.1134/s106378341410031x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.108704", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057656271"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1426691", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057705474"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1833581", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057825622"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.336070", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057941564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.357445", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057977506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.365401", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057992589"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.92852", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058132991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.48.17271", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060568015"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.48.17271", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060568015"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.79.233304", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060628606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.79.233304", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060628606"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-12", 
    "datePublishedReg": "2015-12-01", 
    "description": "Optical extinction in a metal\u2013semiconductor metamaterial based on a AlGaAs matrix, which contains random arrays of AsSb plasmon nanoinclusions, is studied. The metamaterial is grown by molecular beam epitaxy at a low temperature. A system of nanoinclusions of various sizes is formed by annealing at temperatures 400, 500, and 600\u00b0C. Investigation of the sample\u2019s microstructure by transmission electron microscopy shows that the average size of nanoinclusions at the used annealing temperatures is 4\u20137, 5\u20138, and 6\u20139 nm, respectively. It is shown experimentally that AsSb nanoparticle arrays in the AlGaAs matrix cause the resonant absorption of light. It is established that the plasmon-resonance parameters found in the metamaterial are almost independent of the sizes of the AsSb nanoinclusions. The plasmon-resonance energy is (1.47 \u00b1 0.01) eV, while its full width at half maximum is (0.19 \u00b1 0.01) eV.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1134/s1063782615120234", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136692", 
        "issn": [
          "1063-7826", 
          "1090-6479"
        ], 
        "name": "Semiconductors", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "49"
      }
    ], 
    "name": "Plasmon resonance in new AsSb\u2013AlGaAs metal\u2013semiconductor metamaterials", 
    "pagination": "1587-1591", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "f5a8054eba9583b96649773dfaa5ad8b8ab7264f836542eac4bd1276bd4bb723"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s1063782615120234"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1051570058"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s1063782615120234", 
      "https://app.dimensions.ai/details/publication/pub.1051570058"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:07", 
    "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_8678_00000508.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1134%2FS1063782615120234"
  }
]
 

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/s1063782615120234'

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/s1063782615120234'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s1063782615120234'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s1063782615120234'


 

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

172 TRIPLES      21 PREDICATES      43 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s1063782615120234 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author N8520e234eb674d29b9863593a10a6526
4 schema:citation sg:pub.10.1134/1.1187352
5 sg:pub.10.1134/s1063782612100089
6 sg:pub.10.1134/s1063782613080198
7 sg:pub.10.1134/s106378341410031x
8 https://doi.org/10.1016/s0921-5107(01)00904-7
9 https://doi.org/10.1063/1.108704
10 https://doi.org/10.1063/1.1426691
11 https://doi.org/10.1063/1.1833581
12 https://doi.org/10.1063/1.336070
13 https://doi.org/10.1063/1.357445
14 https://doi.org/10.1063/1.365401
15 https://doi.org/10.1063/1.92852
16 https://doi.org/10.1088/0022-3727/34/10a/304
17 https://doi.org/10.1103/physrevb.48.17271
18 https://doi.org/10.1103/physrevb.79.233304
19 https://doi.org/10.1107/s2052519213000183
20 schema:datePublished 2015-12
21 schema:datePublishedReg 2015-12-01
22 schema:description Optical extinction in a metal–semiconductor metamaterial based on a AlGaAs matrix, which contains random arrays of AsSb plasmon nanoinclusions, is studied. The metamaterial is grown by molecular beam epitaxy at a low temperature. A system of nanoinclusions of various sizes is formed by annealing at temperatures 400, 500, and 600°C. Investigation of the sample’s microstructure by transmission electron microscopy shows that the average size of nanoinclusions at the used annealing temperatures is 4–7, 5–8, and 6–9 nm, respectively. It is shown experimentally that AsSb nanoparticle arrays in the AlGaAs matrix cause the resonant absorption of light. It is established that the plasmon-resonance parameters found in the metamaterial are almost independent of the sizes of the AsSb nanoinclusions. The plasmon-resonance energy is (1.47 ± 0.01) eV, while its full width at half maximum is (0.19 ± 0.01) eV.
23 schema:genre research_article
24 schema:inLanguage en
25 schema:isAccessibleForFree false
26 schema:isPartOf N0a05a01a82994bc5aaa37592dab130db
27 Nc6122a0be79b4902a85f4c5cf1ed7a5c
28 sg:journal.1136692
29 schema:name Plasmon resonance in new AsSb–AlGaAs metal–semiconductor metamaterials
30 schema:pagination 1587-1591
31 schema:productId N4f8088dee0964ea5b9620668b60f8451
32 N90a71e3013184a0299830621d3a39570
33 N9a2697fa759d4e63a43cf7f079c9ac94
34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051570058
35 https://doi.org/10.1134/s1063782615120234
36 schema:sdDatePublished 2019-04-10T19:07
37 schema:sdLicense https://scigraph.springernature.com/explorer/license/
38 schema:sdPublisher Nf1d13f9d486642b880607e9bbcb65e86
39 schema:url http://link.springer.com/10.1134%2FS1063782615120234
40 sgo:license sg:explorer/license/
41 sgo:sdDataset articles
42 rdf:type schema:ScholarlyArticle
43 N01c084c8213044b9847a37358179c832 rdf:first sg:person.010314101551.02
44 rdf:rest Nfc133f648d1c405eb482dcc934c86437
45 N0a05a01a82994bc5aaa37592dab130db schema:issueNumber 12
46 rdf:type schema:PublicationIssue
47 N3cf3c070ffd4406885739193f0cb7133 rdf:first sg:person.011260123477.05
48 rdf:rest Ne2d40bf9df124edc9797b83eb2c1d93b
49 N4f8088dee0964ea5b9620668b60f8451 schema:name dimensions_id
50 schema:value pub.1051570058
51 rdf:type schema:PropertyValue
52 N640cabe03d724eeba1e6f24ee5fe3707 rdf:first sg:person.015271274417.07
53 rdf:rest Nb9d9875ad5c640dc9fcb1375dacb7d41
54 N8520e234eb674d29b9863593a10a6526 rdf:first sg:person.010704414445.62
55 rdf:rest N9752d435fadd43b3841f16f6bc513028
56 N8e64489225bf4038b1c34cd636afdb38 rdf:first sg:person.010015773715.60
57 rdf:rest N3cf3c070ffd4406885739193f0cb7133
58 N90a71e3013184a0299830621d3a39570 schema:name readcube_id
59 schema:value f5a8054eba9583b96649773dfaa5ad8b8ab7264f836542eac4bd1276bd4bb723
60 rdf:type schema:PropertyValue
61 N9752d435fadd43b3841f16f6bc513028 rdf:first sg:person.010716755351.29
62 rdf:rest N01c084c8213044b9847a37358179c832
63 N9a2697fa759d4e63a43cf7f079c9ac94 schema:name doi
64 schema:value 10.1134/s1063782615120234
65 rdf:type schema:PropertyValue
66 Nb9d9875ad5c640dc9fcb1375dacb7d41 rdf:first sg:person.011644303155.87
67 rdf:rest rdf:nil
68 Nc6122a0be79b4902a85f4c5cf1ed7a5c schema:volumeNumber 49
69 rdf:type schema:PublicationVolume
70 Ne2d40bf9df124edc9797b83eb2c1d93b rdf:first sg:person.010664106542.73
71 rdf:rest N640cabe03d724eeba1e6f24ee5fe3707
72 Nf1d13f9d486642b880607e9bbcb65e86 schema:name Springer Nature - SN SciGraph project
73 rdf:type schema:Organization
74 Nfc133f648d1c405eb482dcc934c86437 rdf:first sg:person.016115556605.24
75 rdf:rest N8e64489225bf4038b1c34cd636afdb38
76 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
77 schema:name Engineering
78 rdf:type schema:DefinedTerm
79 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
80 schema:name Materials Engineering
81 rdf:type schema:DefinedTerm
82 sg:journal.1136692 schema:issn 1063-7826
83 1090-6479
84 schema:name Semiconductors
85 rdf:type schema:Periodical
86 sg:person.010015773715.60 schema:affiliation https://www.grid.ac/institutes/grid.423485.c
87 schema:familyName Il’inskaya
88 schema:givenName N. D.
89 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010015773715.60
90 rdf:type schema:Person
91 sg:person.010314101551.02 schema:affiliation https://www.grid.ac/institutes/grid.423485.c
92 schema:familyName Bert
93 schema:givenName N. A.
94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010314101551.02
95 rdf:type schema:Person
96 sg:person.010664106542.73 schema:affiliation https://www.grid.ac/institutes/grid.450314.7
97 schema:familyName Preobrazhenskii
98 schema:givenName V. V.
99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010664106542.73
100 rdf:type schema:Person
101 sg:person.010704414445.62 schema:affiliation https://www.grid.ac/institutes/grid.423485.c
102 schema:familyName Ushanov
103 schema:givenName V. I.
104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010704414445.62
105 rdf:type schema:Person
106 sg:person.010716755351.29 schema:affiliation https://www.grid.ac/institutes/grid.423485.c
107 schema:familyName Chaldyshev
108 schema:givenName V. V.
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010716755351.29
110 rdf:type schema:Person
111 sg:person.011260123477.05 schema:affiliation https://www.grid.ac/institutes/grid.423485.c
112 schema:familyName Lebedeva
113 schema:givenName N. M.
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011260123477.05
115 rdf:type schema:Person
116 sg:person.011644303155.87 schema:affiliation https://www.grid.ac/institutes/grid.450314.7
117 schema:familyName Semyagin
118 schema:givenName B. R.
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011644303155.87
120 rdf:type schema:Person
121 sg:person.015271274417.07 schema:affiliation https://www.grid.ac/institutes/grid.450314.7
122 schema:familyName Putyato
123 schema:givenName M. A.
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015271274417.07
125 rdf:type schema:Person
126 sg:person.016115556605.24 schema:affiliation https://www.grid.ac/institutes/grid.423485.c
127 schema:familyName Nevedomsky
128 schema:givenName V. N.
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016115556605.24
130 rdf:type schema:Person
131 sg:pub.10.1134/1.1187352 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011541716
132 https://doi.org/10.1134/1.1187352
133 rdf:type schema:CreativeWork
134 sg:pub.10.1134/s1063782612100089 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025263844
135 https://doi.org/10.1134/s1063782612100089
136 rdf:type schema:CreativeWork
137 sg:pub.10.1134/s1063782613080198 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017057812
138 https://doi.org/10.1134/s1063782613080198
139 rdf:type schema:CreativeWork
140 sg:pub.10.1134/s106378341410031x schema:sameAs https://app.dimensions.ai/details/publication/pub.1050280192
141 https://doi.org/10.1134/s106378341410031x
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1016/s0921-5107(01)00904-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021255487
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1063/1.108704 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057656271
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1063/1.1426691 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057705474
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1063/1.1833581 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057825622
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1063/1.336070 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057941564
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1063/1.357445 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057977506
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1063/1.365401 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057992589
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1063/1.92852 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058132991
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1088/0022-3727/34/10a/304 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031064388
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1103/physrevb.48.17271 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060568015
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1103/physrevb.79.233304 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060628606
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1107/s2052519213000183 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010966535
166 rdf:type schema:CreativeWork
167 https://www.grid.ac/institutes/grid.423485.c schema:alternateName Ioffe Institute
168 schema:name Ioffe Institute, Russian Academy of Sciences, ul. Politekhnicheskaya 26, 194021, St. Petersburg, Russia
169 rdf:type schema:Organization
170 https://www.grid.ac/institutes/grid.450314.7 schema:alternateName Institute of Semiconductor Physics
171 schema:name Institute of Semiconductor Physics, Siberian Branch, Russian Academy of Sciences, pr. Akademika Lavrent’eva 13, 630090, Novosibirsk, Russia
172 rdf:type schema:Organization
 




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


...