Plasmonic Scattering by Metal Nanoparticles for Solar Cells View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-09

AUTHORS

Alessio Paris, Alessandro Vaccari, Antonino Calà Lesina, Enrico Serra, Lucia Calliari

ABSTRACT

We investigate on absorption and scattering from metal nanoparticles in view of possible applications to photovoltaic cells. The analysis, accounting for most of the parameters involved in the physical mechanism of scattering, is split into two parts. In the first part, scattering from a metallic sphere is treated analytically to investigate the dependence on sphere size, sphere metal, and surrounding medium. In the second part, scattering from a metallic particle is investigated as a function of particle shape (spheroids, hemispheres, and cylinders) via numerical simulations based on the finite-difference time-domain method. The aim of the work is to provide a systematic study on scattering and absorption by metal nanoparticles, exploring several combinations of material and geometrical parameters in order to identify those combinations that could play a key role in solar cell efficiency improvement. More... »

PAGES

525-534

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11468-012-9338-4

DOI

http://dx.doi.org/10.1007/s11468-012-9338-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1039688609


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/2008/0306", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Chemistry (incl. Structural)", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Interdisciplinary Laboratory for Computational Science (LISC), FBK-CMM, via Sommarive 18, 38123, Trento, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Paris", 
        "givenName": "Alessio", 
        "id": "sg:person.016055126665.89", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016055126665.89"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Renewable Energies and Environmental Technologies (REET), FBK-CMM, via Sommarive 18, 38123, Trento, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vaccari", 
        "givenName": "Alessandro", 
        "id": "sg:person.011361670435.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011361670435.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Renewable Energies and Environmental Technologies (REET), FBK-CMM, via Sommarive 18, 38123, Trento, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cal\u00e0 Lesina", 
        "givenName": "Antonino", 
        "id": "sg:person.01171520612.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171520612.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Interdisciplinary Laboratory for Computational Science (LISC), FBK-CMM, via Sommarive 18, 38123, Trento, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Serra", 
        "givenName": "Enrico", 
        "id": "sg:person.015356630643.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015356630643.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Interdisciplinary Laboratory for Computational Science (LISC), FBK-CMM, via Sommarive 18, 38123, Trento, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Calliari", 
        "givenName": "Lucia", 
        "id": "sg:person.015772072317.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015772072317.38"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.jcp.2003.09.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001157127"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcp.2003.09.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001157127"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.solmat.2011.05.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006445828"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/lpor.200810003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015838935"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.solmat.2010.02.046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015994067"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.2734885", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018327078"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.2360918", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019302657"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1098-2760(20001205)27:5<334::aid-mop14>3.0.co;2-a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028133560"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00340-008-3202-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032990647", 
          "https://doi.org/10.1007/s00340-008-3202-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00340-008-3202-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032990647", 
          "https://doi.org/10.1007/s00340-008-3202-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp026731y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039003927"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp026731y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039003927"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.solmat.2009.07.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039330344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11468-009-9080-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044320988", 
          "https://doi.org/10.1007/s11468-009-9080-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11468-009-9080-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044320988", 
          "https://doi.org/10.1007/s11468-009-9080-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat2629", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047990558", 
          "https://doi.org/10.1038/nmat2629"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat2629", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047990558", 
          "https://doi.org/10.1038/nmat2629"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl900945q", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052536195"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl900945q", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052536195"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1855423", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057828486"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.3567299", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057976120"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/38/9/008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059022509"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/8.64427", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061234226"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tap.1966.1138693", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061490079"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/9783527618156", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109492064"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012-09", 
    "datePublishedReg": "2012-09-01", 
    "description": "We investigate on absorption and scattering from metal nanoparticles in view of possible applications to photovoltaic cells. The analysis, accounting for most of the parameters involved in the physical mechanism of scattering, is split into two parts. In the first part, scattering from a metallic sphere is treated analytically to investigate the dependence on sphere size, sphere metal, and surrounding medium. In the second part, scattering from a metallic particle is investigated as a function of particle shape (spheroids, hemispheres, and cylinders) via numerical simulations based on the finite-difference time-domain method. The aim of the work is to provide a systematic study on scattering and absorption by metal nanoparticles, exploring several combinations of material and geometrical parameters in order to identify those combinations that could play a key role in solar cell efficiency improvement.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11468-012-9338-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1036713", 
        "issn": [
          "1557-1955", 
          "1557-1963"
        ], 
        "name": "Plasmonics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "7"
      }
    ], 
    "name": "Plasmonic Scattering by Metal Nanoparticles for Solar Cells", 
    "pagination": "525-534", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "bd0f074e02cb22a89f12fd3fc0b680c2dff419aff008b091380de4b8204d794c"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11468-012-9338-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1039688609"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11468-012-9338-4", 
      "https://app.dimensions.ai/details/publication/pub.1039688609"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T16:03", 
    "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_8664_00000591.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11468-012-9338-4"
  }
]
 

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.10.1007/s11468-012-9338-4'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11468-012-9338-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11468-012-9338-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11468-012-9338-4'


 

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

156 TRIPLES      21 PREDICATES      46 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11468-012-9338-4 schema:about anzsrc-for:03
2 anzsrc-for:0306
3 schema:author Nc2f3edb07c94461086087a8411a028ab
4 schema:citation sg:pub.10.1007/s00340-008-3202-4
5 sg:pub.10.1007/s11468-009-9080-8
6 sg:pub.10.1038/nmat2629
7 https://doi.org/10.1002/1098-2760(20001205)27:5<334::aid-mop14>3.0.co;2-a
8 https://doi.org/10.1002/9783527618156
9 https://doi.org/10.1002/lpor.200810003
10 https://doi.org/10.1016/j.jcp.2003.09.002
11 https://doi.org/10.1016/j.solmat.2009.07.014
12 https://doi.org/10.1016/j.solmat.2010.02.046
13 https://doi.org/10.1016/j.solmat.2011.05.019
14 https://doi.org/10.1021/jp026731y
15 https://doi.org/10.1021/nl900945q
16 https://doi.org/10.1063/1.1855423
17 https://doi.org/10.1063/1.2360918
18 https://doi.org/10.1063/1.2734885
19 https://doi.org/10.1063/1.3567299
20 https://doi.org/10.1088/0031-9155/38/9/008
21 https://doi.org/10.1109/8.64427
22 https://doi.org/10.1109/tap.1966.1138693
23 schema:datePublished 2012-09
24 schema:datePublishedReg 2012-09-01
25 schema:description We investigate on absorption and scattering from metal nanoparticles in view of possible applications to photovoltaic cells. The analysis, accounting for most of the parameters involved in the physical mechanism of scattering, is split into two parts. In the first part, scattering from a metallic sphere is treated analytically to investigate the dependence on sphere size, sphere metal, and surrounding medium. In the second part, scattering from a metallic particle is investigated as a function of particle shape (spheroids, hemispheres, and cylinders) via numerical simulations based on the finite-difference time-domain method. The aim of the work is to provide a systematic study on scattering and absorption by metal nanoparticles, exploring several combinations of material and geometrical parameters in order to identify those combinations that could play a key role in solar cell efficiency improvement.
26 schema:genre research_article
27 schema:inLanguage en
28 schema:isAccessibleForFree false
29 schema:isPartOf N4c3fdedbc8684d8f92ba98ff56a7ac24
30 Nbbbedcbdb6ec438b88d08e8538abb531
31 sg:journal.1036713
32 schema:name Plasmonic Scattering by Metal Nanoparticles for Solar Cells
33 schema:pagination 525-534
34 schema:productId N2659ba010988499aaf67f27a5b277d37
35 N4825016f112e48b394dae4c6c789889c
36 N6453362339fb4c55893b8dc9e0c6f965
37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039688609
38 https://doi.org/10.1007/s11468-012-9338-4
39 schema:sdDatePublished 2019-04-10T16:03
40 schema:sdLicense https://scigraph.springernature.com/explorer/license/
41 schema:sdPublisher N3080e3b51dce4f02bcd4823e2e05cec5
42 schema:url http://link.springer.com/10.1007%2Fs11468-012-9338-4
43 sgo:license sg:explorer/license/
44 sgo:sdDataset articles
45 rdf:type schema:ScholarlyArticle
46 N1bb4ea59acaf47778f815bcf4cd94e18 rdf:first sg:person.015356630643.29
47 rdf:rest N38d31fb853d64912ac08f2f5126bd2f3
48 N23691f457a4a48acb883348d96b2625c rdf:first sg:person.011361670435.50
49 rdf:rest N31a9c9e424f94dfaab57b21183ece7df
50 N2659ba010988499aaf67f27a5b277d37 schema:name readcube_id
51 schema:value bd0f074e02cb22a89f12fd3fc0b680c2dff419aff008b091380de4b8204d794c
52 rdf:type schema:PropertyValue
53 N3080e3b51dce4f02bcd4823e2e05cec5 schema:name Springer Nature - SN SciGraph project
54 rdf:type schema:Organization
55 N31a9c9e424f94dfaab57b21183ece7df rdf:first sg:person.01171520612.67
56 rdf:rest N1bb4ea59acaf47778f815bcf4cd94e18
57 N33edf438946e4ab284d48fe573af87e4 schema:name Interdisciplinary Laboratory for Computational Science (LISC), FBK-CMM, via Sommarive 18, 38123, Trento, Italy
58 rdf:type schema:Organization
59 N3484863d28324359a0ed3f3ef08c2530 schema:name Interdisciplinary Laboratory for Computational Science (LISC), FBK-CMM, via Sommarive 18, 38123, Trento, Italy
60 rdf:type schema:Organization
61 N38d31fb853d64912ac08f2f5126bd2f3 rdf:first sg:person.015772072317.38
62 rdf:rest rdf:nil
63 N4825016f112e48b394dae4c6c789889c schema:name doi
64 schema:value 10.1007/s11468-012-9338-4
65 rdf:type schema:PropertyValue
66 N4c3fdedbc8684d8f92ba98ff56a7ac24 schema:volumeNumber 7
67 rdf:type schema:PublicationVolume
68 N6453362339fb4c55893b8dc9e0c6f965 schema:name dimensions_id
69 schema:value pub.1039688609
70 rdf:type schema:PropertyValue
71 N828b5550996645778eb3fa87ceaa0120 schema:name Renewable Energies and Environmental Technologies (REET), FBK-CMM, via Sommarive 18, 38123, Trento, Italy
72 rdf:type schema:Organization
73 N8823e9377a4a431fb605fe953fda3e2e schema:name Renewable Energies and Environmental Technologies (REET), FBK-CMM, via Sommarive 18, 38123, Trento, Italy
74 rdf:type schema:Organization
75 Nbbbedcbdb6ec438b88d08e8538abb531 schema:issueNumber 3
76 rdf:type schema:PublicationIssue
77 Nc2f3edb07c94461086087a8411a028ab rdf:first sg:person.016055126665.89
78 rdf:rest N23691f457a4a48acb883348d96b2625c
79 Ncdfdf909980b428cb817839b0755e481 schema:name Interdisciplinary Laboratory for Computational Science (LISC), FBK-CMM, via Sommarive 18, 38123, Trento, Italy
80 rdf:type schema:Organization
81 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
82 schema:name Chemical Sciences
83 rdf:type schema:DefinedTerm
84 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
85 schema:name Physical Chemistry (incl. Structural)
86 rdf:type schema:DefinedTerm
87 sg:journal.1036713 schema:issn 1557-1955
88 1557-1963
89 schema:name Plasmonics
90 rdf:type schema:Periodical
91 sg:person.011361670435.50 schema:affiliation N8823e9377a4a431fb605fe953fda3e2e
92 schema:familyName Vaccari
93 schema:givenName Alessandro
94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011361670435.50
95 rdf:type schema:Person
96 sg:person.01171520612.67 schema:affiliation N828b5550996645778eb3fa87ceaa0120
97 schema:familyName Calà Lesina
98 schema:givenName Antonino
99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171520612.67
100 rdf:type schema:Person
101 sg:person.015356630643.29 schema:affiliation N3484863d28324359a0ed3f3ef08c2530
102 schema:familyName Serra
103 schema:givenName Enrico
104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015356630643.29
105 rdf:type schema:Person
106 sg:person.015772072317.38 schema:affiliation N33edf438946e4ab284d48fe573af87e4
107 schema:familyName Calliari
108 schema:givenName Lucia
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015772072317.38
110 rdf:type schema:Person
111 sg:person.016055126665.89 schema:affiliation Ncdfdf909980b428cb817839b0755e481
112 schema:familyName Paris
113 schema:givenName Alessio
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016055126665.89
115 rdf:type schema:Person
116 sg:pub.10.1007/s00340-008-3202-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032990647
117 https://doi.org/10.1007/s00340-008-3202-4
118 rdf:type schema:CreativeWork
119 sg:pub.10.1007/s11468-009-9080-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044320988
120 https://doi.org/10.1007/s11468-009-9080-8
121 rdf:type schema:CreativeWork
122 sg:pub.10.1038/nmat2629 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047990558
123 https://doi.org/10.1038/nmat2629
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1002/1098-2760(20001205)27:5<334::aid-mop14>3.0.co;2-a schema:sameAs https://app.dimensions.ai/details/publication/pub.1028133560
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1002/9783527618156 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109492064
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1002/lpor.200810003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015838935
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/j.jcp.2003.09.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001157127
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/j.solmat.2009.07.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039330344
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1016/j.solmat.2010.02.046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015994067
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/j.solmat.2011.05.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006445828
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1021/jp026731y schema:sameAs https://app.dimensions.ai/details/publication/pub.1039003927
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1021/nl900945q schema:sameAs https://app.dimensions.ai/details/publication/pub.1052536195
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1063/1.1855423 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057828486
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1063/1.2360918 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019302657
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1063/1.2734885 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018327078
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1063/1.3567299 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057976120
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1088/0031-9155/38/9/008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059022509
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1109/8.64427 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061234226
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1109/tap.1966.1138693 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061490079
156 rdf:type schema:CreativeWork
 




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


...