Surface roughness effects on aluminium-based ultraviolet plasmonic nanolasers View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-01-03

AUTHORS

Yi-Cheng Chung, Pi-Ju Cheng, Yu-Hsun Chou, Bo-Tsun Chou, Kuo-Bin Hong, Jheng-Hong Shih, Sheng-Di Lin, Tien-Chang Lu, Tzy-Rong Lin

ABSTRACT

We systematically investigate the effects of surface roughness on the characteristics of ultraviolet zinc oxide plasmonic nanolasers fabricated on aluminium films with two different degrees of surface roughness. We demonstrate that the effective dielectric functions of aluminium interfaces with distinct roughness can be analysed from reflectivity measurements. By considering the scattering losses, including Rayleigh scattering, electron scattering, and grain boundary scattering, we adopt the modified Drude-Lorentz model to describe the scattering effect caused by surface roughness and obtain the effective dielectric functions of different Al samples. The sample with higher surface roughness induces more electron scattering and light scattering for SPP modes, leading to a higher threshold gain for the plasmonic nanolaser. By considering the pumping efficiency, our theoretical analysis shows that diminishing the detrimental optical losses caused by the roughness of the metallic interface could effectively lower (~33.1%) the pumping threshold of the plasmonic nanolasers, which is consistent with the experimental results. More... »

PAGES

39813

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/srep39813

DOI

http://dx.doi.org/10.1038/srep39813

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1007090410

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28045127


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/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "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"
      }, 
      {
        "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/2008/0912", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Materials Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "National Taiwan Ocean University, Department of Mechanical and Mechatronic Engineering, Keelung 202, Taiwan", 
          "id": "http://www.grid.ac/institutes/grid.260664.0", 
          "name": [
            "National Taiwan Ocean University, Department of Mechanical and Mechatronic Engineering, Keelung 202, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chung", 
        "givenName": "Yi-Cheng", 
        "id": "sg:person.01221635174.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01221635174.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Academia Sinica, Research Center for Applied Sciences, Taipei 115, Taiwan", 
          "id": "http://www.grid.ac/institutes/grid.28665.3f", 
          "name": [
            "Academia Sinica, Research Center for Applied Sciences, Taipei 115, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cheng", 
        "givenName": "Pi-Ju", 
        "id": "sg:person.01230427752.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01230427752.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Chiao Tung University, Department of Photonics, Hsinchu 300, Taiwan", 
          "id": "http://www.grid.ac/institutes/grid.260539.b", 
          "name": [
            "National Chiao Tung University, Institute of Lighting and Energy Photonics, Tainan 711, Taiwan", 
            "National Chiao Tung University, Department of Photonics, Hsinchu 300, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chou", 
        "givenName": "Yu-Hsun", 
        "id": "sg:person.01325165721.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01325165721.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Chiao Tung University, Department of Electronics Engineering, Hsinchu 300, Taiwan", 
          "id": "http://www.grid.ac/institutes/grid.260539.b", 
          "name": [
            "National Chiao Tung University, Department of Electronics Engineering, Hsinchu 300, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chou", 
        "givenName": "Bo-Tsun", 
        "id": "sg:person.0650352531.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0650352531.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Chiao Tung University, Department of Photonics, Hsinchu 300, Taiwan", 
          "id": "http://www.grid.ac/institutes/grid.260539.b", 
          "name": [
            "National Chiao Tung University, Department of Photonics, Hsinchu 300, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hong", 
        "givenName": "Kuo-Bin", 
        "id": "sg:person.0710115157.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710115157.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Taiwan Ocean University, Department of Mechanical and Mechatronic Engineering, Keelung 202, Taiwan", 
          "id": "http://www.grid.ac/institutes/grid.260664.0", 
          "name": [
            "National Taiwan Ocean University, Department of Mechanical and Mechatronic Engineering, Keelung 202, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shih", 
        "givenName": "Jheng-Hong", 
        "id": "sg:person.01024343557.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024343557.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Chiao Tung University, Department of Electronics Engineering, Hsinchu 300, Taiwan", 
          "id": "http://www.grid.ac/institutes/grid.260539.b", 
          "name": [
            "National Chiao Tung University, Department of Electronics Engineering, Hsinchu 300, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lin", 
        "givenName": "Sheng-Di", 
        "id": "sg:person.01146465221.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01146465221.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Chiao Tung University, Department of Photonics, Hsinchu 300, Taiwan", 
          "id": "http://www.grid.ac/institutes/grid.260539.b", 
          "name": [
            "National Chiao Tung University, Department of Photonics, Hsinchu 300, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lu", 
        "givenName": "Tien-Chang", 
        "id": "sg:person.0674631737.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674631737.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Taiwan Ocean University, Institute of Optoelectronic Sciences, Keelung 202, Taiwan", 
          "id": "http://www.grid.ac/institutes/grid.260664.0", 
          "name": [
            "National Taiwan Ocean University, Department of Mechanical and Mechatronic Engineering, Keelung 202, Taiwan", 
            "National Taiwan Ocean University, Institute of Optoelectronic Sciences, Keelung 202, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lin", 
        "givenName": "Tzy-Rong", 
        "id": "sg:person.013752527724.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013752527724.72"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nmat2162", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007245986", 
          "https://doi.org/10.1038/nmat2162"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00681445", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021514325", 
          "https://doi.org/10.1007/bf00681445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nphys3103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035694892", 
          "https://doi.org/10.1038/nphys3103"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature08053", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019297453", 
          "https://doi.org/10.1038/nature08053"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms5953", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039344650", 
          "https://doi.org/10.1038/ncomms5953"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep19887", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043822910", 
          "https://doi.org/10.1038/srep19887"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01937", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029876312", 
          "https://doi.org/10.1038/nature01937"
        ], 
        "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.10.1007/bfb0048317", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085164077", 
          "https://doi.org/10.1007/bfb0048317"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-01-03", 
    "datePublishedReg": "2017-01-03", 
    "description": "We systematically investigate the effects of surface roughness on the characteristics of ultraviolet zinc oxide plasmonic nanolasers fabricated on aluminium films with two different degrees of surface roughness. We demonstrate that the effective dielectric functions of aluminium interfaces with distinct roughness can be analysed from reflectivity measurements. By considering the scattering losses, including Rayleigh scattering, electron scattering, and grain boundary scattering, we adopt the modified Drude-Lorentz model to describe the scattering effect caused by surface roughness and obtain the effective dielectric functions of different Al samples. The sample with higher surface roughness induces more electron scattering and light scattering for SPP modes, leading to a higher threshold gain for the plasmonic nanolaser. By considering the pumping efficiency, our theoretical analysis shows that diminishing the detrimental optical losses caused by the roughness of the metallic interface could effectively lower (~33.1%) the pumping threshold of the plasmonic nanolasers, which is consistent with the experimental results.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/srep39813", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "7"
      }
    ], 
    "keywords": [
      "plasmonic nanolasers", 
      "effective dielectric function", 
      "electron scattering", 
      "dielectric function", 
      "high threshold gain", 
      "Drude-Lorentz model", 
      "optical losses", 
      "grain boundary scattering", 
      "threshold gain", 
      "SPP modes", 
      "nanolasers", 
      "Rayleigh scattering", 
      "reflectivity measurements", 
      "surface roughness", 
      "aluminum films", 
      "scattering", 
      "metallic interfaces", 
      "boundary scattering", 
      "Al samples", 
      "high surface roughness", 
      "aluminum interface", 
      "roughness", 
      "theoretical analysis", 
      "films", 
      "experimental results", 
      "light", 
      "distinct roughness", 
      "surface roughness effects", 
      "measurements", 
      "interface", 
      "mode", 
      "roughness effects", 
      "threshold", 
      "samples", 
      "effect", 
      "function", 
      "efficiency", 
      "loss", 
      "model", 
      "gain", 
      "results", 
      "characteristics", 
      "different degrees", 
      "degree", 
      "analysis", 
      "ultraviolet zinc oxide plasmonic nanolasers", 
      "zinc oxide plasmonic nanolasers", 
      "oxide plasmonic nanolasers", 
      "different Al samples", 
      "more electron scattering", 
      "detrimental optical losses", 
      "aluminium-based ultraviolet plasmonic nanolasers", 
      "ultraviolet plasmonic nanolasers"
    ], 
    "name": "Surface roughness effects on aluminium-based ultraviolet plasmonic nanolasers", 
    "pagination": "39813", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1007090410"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/srep39813"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28045127"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/srep39813", 
      "https://app.dimensions.ai/details/publication/pub.1007090410"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:43", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_719.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/srep39813"
  }
]
 

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.10.1038/srep39813'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/srep39813'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/srep39813'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/srep39813'


 

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

225 TRIPLES      22 PREDICATES      90 URIs      71 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/srep39813 schema:about anzsrc-for:03
2 anzsrc-for:0306
3 anzsrc-for:09
4 anzsrc-for:0912
5 schema:author Nd0027b694a8c49d6ade807e6859b1b18
6 schema:citation sg:pub.10.1007/bf00681445
7 sg:pub.10.1007/bfb0048317
8 sg:pub.10.1038/nature01937
9 sg:pub.10.1038/nature08053
10 sg:pub.10.1038/ncomms5953
11 sg:pub.10.1038/nmat2162
12 sg:pub.10.1038/nmat2629
13 sg:pub.10.1038/nphys3103
14 sg:pub.10.1038/srep19887
15 schema:datePublished 2017-01-03
16 schema:datePublishedReg 2017-01-03
17 schema:description We systematically investigate the effects of surface roughness on the characteristics of ultraviolet zinc oxide plasmonic nanolasers fabricated on aluminium films with two different degrees of surface roughness. We demonstrate that the effective dielectric functions of aluminium interfaces with distinct roughness can be analysed from reflectivity measurements. By considering the scattering losses, including Rayleigh scattering, electron scattering, and grain boundary scattering, we adopt the modified Drude-Lorentz model to describe the scattering effect caused by surface roughness and obtain the effective dielectric functions of different Al samples. The sample with higher surface roughness induces more electron scattering and light scattering for SPP modes, leading to a higher threshold gain for the plasmonic nanolaser. By considering the pumping efficiency, our theoretical analysis shows that diminishing the detrimental optical losses caused by the roughness of the metallic interface could effectively lower (~33.1%) the pumping threshold of the plasmonic nanolasers, which is consistent with the experimental results.
18 schema:genre article
19 schema:inLanguage en
20 schema:isAccessibleForFree true
21 schema:isPartOf N32647a7438094fc182106e0d125d72b6
22 Nd457667ab658463db71ade061340679d
23 sg:journal.1045337
24 schema:keywords Al samples
25 Drude-Lorentz model
26 Rayleigh scattering
27 SPP modes
28 aluminium-based ultraviolet plasmonic nanolasers
29 aluminum films
30 aluminum interface
31 analysis
32 boundary scattering
33 characteristics
34 degree
35 detrimental optical losses
36 dielectric function
37 different Al samples
38 different degrees
39 distinct roughness
40 effect
41 effective dielectric function
42 efficiency
43 electron scattering
44 experimental results
45 films
46 function
47 gain
48 grain boundary scattering
49 high surface roughness
50 high threshold gain
51 interface
52 light
53 loss
54 measurements
55 metallic interfaces
56 mode
57 model
58 more electron scattering
59 nanolasers
60 optical losses
61 oxide plasmonic nanolasers
62 plasmonic nanolasers
63 reflectivity measurements
64 results
65 roughness
66 roughness effects
67 samples
68 scattering
69 surface roughness
70 surface roughness effects
71 theoretical analysis
72 threshold
73 threshold gain
74 ultraviolet plasmonic nanolasers
75 ultraviolet zinc oxide plasmonic nanolasers
76 zinc oxide plasmonic nanolasers
77 schema:name Surface roughness effects on aluminium-based ultraviolet plasmonic nanolasers
78 schema:pagination 39813
79 schema:productId N1c94abbbf5524b6eb4fc0a3e779e87cf
80 N3dc1259de2cd40178f1d41e6f270826a
81 N4d7432f8c53449f8a85f90a06315d20e
82 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007090410
83 https://doi.org/10.1038/srep39813
84 schema:sdDatePublished 2022-01-01T18:43
85 schema:sdLicense https://scigraph.springernature.com/explorer/license/
86 schema:sdPublisher Nb636b5845bf74268a5e2f71fad75f487
87 schema:url https://doi.org/10.1038/srep39813
88 sgo:license sg:explorer/license/
89 sgo:sdDataset articles
90 rdf:type schema:ScholarlyArticle
91 N1c94abbbf5524b6eb4fc0a3e779e87cf schema:name pubmed_id
92 schema:value 28045127
93 rdf:type schema:PropertyValue
94 N2a6b8cd81e8948fab84dd87fa00ca997 rdf:first sg:person.0674631737.65
95 rdf:rest N9d080e3162fe4627898fee0924e89ae3
96 N32647a7438094fc182106e0d125d72b6 schema:volumeNumber 7
97 rdf:type schema:PublicationVolume
98 N3dc1259de2cd40178f1d41e6f270826a schema:name dimensions_id
99 schema:value pub.1007090410
100 rdf:type schema:PropertyValue
101 N40d4dff4d82d4152bb0261e3aaec2050 rdf:first sg:person.01024343557.16
102 rdf:rest Nfc51796924b444f5a1e0b51c655119be
103 N4d7432f8c53449f8a85f90a06315d20e schema:name doi
104 schema:value 10.1038/srep39813
105 rdf:type schema:PropertyValue
106 N60a6fa15c237423cb573aace20cc44e2 rdf:first sg:person.01230427752.29
107 rdf:rest Nf1b810dcc36e4a218cb2a1476af4bcf5
108 N67ccfd822b33499cb5c5f416cb035419 rdf:first sg:person.0710115157.38
109 rdf:rest N40d4dff4d82d4152bb0261e3aaec2050
110 N9d080e3162fe4627898fee0924e89ae3 rdf:first sg:person.013752527724.72
111 rdf:rest rdf:nil
112 Nb636b5845bf74268a5e2f71fad75f487 schema:name Springer Nature - SN SciGraph project
113 rdf:type schema:Organization
114 Nc53496f0d9bf469695dc5a4f1c891867 rdf:first sg:person.0650352531.03
115 rdf:rest N67ccfd822b33499cb5c5f416cb035419
116 Nd0027b694a8c49d6ade807e6859b1b18 rdf:first sg:person.01221635174.74
117 rdf:rest N60a6fa15c237423cb573aace20cc44e2
118 Nd457667ab658463db71ade061340679d schema:issueNumber 1
119 rdf:type schema:PublicationIssue
120 Nf1b810dcc36e4a218cb2a1476af4bcf5 rdf:first sg:person.01325165721.09
121 rdf:rest Nc53496f0d9bf469695dc5a4f1c891867
122 Nfc51796924b444f5a1e0b51c655119be rdf:first sg:person.01146465221.97
123 rdf:rest N2a6b8cd81e8948fab84dd87fa00ca997
124 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
125 schema:name Chemical Sciences
126 rdf:type schema:DefinedTerm
127 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
128 schema:name Physical Chemistry (incl. Structural)
129 rdf:type schema:DefinedTerm
130 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
131 schema:name Engineering
132 rdf:type schema:DefinedTerm
133 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
134 schema:name Materials Engineering
135 rdf:type schema:DefinedTerm
136 sg:journal.1045337 schema:issn 2045-2322
137 schema:name Scientific Reports
138 schema:publisher Springer Nature
139 rdf:type schema:Periodical
140 sg:person.01024343557.16 schema:affiliation grid-institutes:grid.260664.0
141 schema:familyName Shih
142 schema:givenName Jheng-Hong
143 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024343557.16
144 rdf:type schema:Person
145 sg:person.01146465221.97 schema:affiliation grid-institutes:grid.260539.b
146 schema:familyName Lin
147 schema:givenName Sheng-Di
148 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01146465221.97
149 rdf:type schema:Person
150 sg:person.01221635174.74 schema:affiliation grid-institutes:grid.260664.0
151 schema:familyName Chung
152 schema:givenName Yi-Cheng
153 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01221635174.74
154 rdf:type schema:Person
155 sg:person.01230427752.29 schema:affiliation grid-institutes:grid.28665.3f
156 schema:familyName Cheng
157 schema:givenName Pi-Ju
158 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01230427752.29
159 rdf:type schema:Person
160 sg:person.01325165721.09 schema:affiliation grid-institutes:grid.260539.b
161 schema:familyName Chou
162 schema:givenName Yu-Hsun
163 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01325165721.09
164 rdf:type schema:Person
165 sg:person.013752527724.72 schema:affiliation grid-institutes:grid.260664.0
166 schema:familyName Lin
167 schema:givenName Tzy-Rong
168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013752527724.72
169 rdf:type schema:Person
170 sg:person.0650352531.03 schema:affiliation grid-institutes:grid.260539.b
171 schema:familyName Chou
172 schema:givenName Bo-Tsun
173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0650352531.03
174 rdf:type schema:Person
175 sg:person.0674631737.65 schema:affiliation grid-institutes:grid.260539.b
176 schema:familyName Lu
177 schema:givenName Tien-Chang
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674631737.65
179 rdf:type schema:Person
180 sg:person.0710115157.38 schema:affiliation grid-institutes:grid.260539.b
181 schema:familyName Hong
182 schema:givenName Kuo-Bin
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710115157.38
184 rdf:type schema:Person
185 sg:pub.10.1007/bf00681445 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021514325
186 https://doi.org/10.1007/bf00681445
187 rdf:type schema:CreativeWork
188 sg:pub.10.1007/bfb0048317 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085164077
189 https://doi.org/10.1007/bfb0048317
190 rdf:type schema:CreativeWork
191 sg:pub.10.1038/nature01937 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029876312
192 https://doi.org/10.1038/nature01937
193 rdf:type schema:CreativeWork
194 sg:pub.10.1038/nature08053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019297453
195 https://doi.org/10.1038/nature08053
196 rdf:type schema:CreativeWork
197 sg:pub.10.1038/ncomms5953 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039344650
198 https://doi.org/10.1038/ncomms5953
199 rdf:type schema:CreativeWork
200 sg:pub.10.1038/nmat2162 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007245986
201 https://doi.org/10.1038/nmat2162
202 rdf:type schema:CreativeWork
203 sg:pub.10.1038/nmat2629 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047990558
204 https://doi.org/10.1038/nmat2629
205 rdf:type schema:CreativeWork
206 sg:pub.10.1038/nphys3103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035694892
207 https://doi.org/10.1038/nphys3103
208 rdf:type schema:CreativeWork
209 sg:pub.10.1038/srep19887 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043822910
210 https://doi.org/10.1038/srep19887
211 rdf:type schema:CreativeWork
212 grid-institutes:grid.260539.b schema:alternateName National Chiao Tung University, Department of Electronics Engineering, Hsinchu 300, Taiwan
213 National Chiao Tung University, Department of Photonics, Hsinchu 300, Taiwan
214 schema:name National Chiao Tung University, Department of Electronics Engineering, Hsinchu 300, Taiwan
215 National Chiao Tung University, Department of Photonics, Hsinchu 300, Taiwan
216 National Chiao Tung University, Institute of Lighting and Energy Photonics, Tainan 711, Taiwan
217 rdf:type schema:Organization
218 grid-institutes:grid.260664.0 schema:alternateName National Taiwan Ocean University, Department of Mechanical and Mechatronic Engineering, Keelung 202, Taiwan
219 National Taiwan Ocean University, Institute of Optoelectronic Sciences, Keelung 202, Taiwan
220 schema:name National Taiwan Ocean University, Department of Mechanical and Mechatronic Engineering, Keelung 202, Taiwan
221 National Taiwan Ocean University, Institute of Optoelectronic Sciences, Keelung 202, Taiwan
222 rdf:type schema:Organization
223 grid-institutes:grid.28665.3f schema:alternateName Academia Sinica, Research Center for Applied Sciences, Taipei 115, Taiwan
224 schema:name Academia Sinica, Research Center for Applied Sciences, Taipei 115, Taiwan
225 rdf:type schema:Organization
 




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


...