Wideband dynamic microwave frequency identification system using a low-power ultracompact silicon photonic chip View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-09-30

AUTHORS

Maurizio Burla, Xu Wang, Ming Li, Lukas Chrostowski, José Azaña

ABSTRACT

Photonic-based instantaneous frequency measurement (IFM) of unknown microwave signals offers improved flexibility and frequency range as compared with electronic solutions. However, no photonic platform has ever demonstrated the key capability to perform dynamic IFM, as required in real-world applications. In addition, all demonstrations to date employ bulky components or need high optical power for operation. Here we demonstrate an integrated photonic IFM system that can identify frequency-varying signals in a dynamic manner, without any need for fast measurement instrumentation. The system is based on a fully linear, ultracompact system based on a waveguide Bragg grating on silicon, only 65-μm long and operating up to ∼30 GHz with carrier power below 10 mW, significantly outperforming present technologies. These results open a solid path towards identification of dynamically changing signals over tens of GHz bandwidths using a practical, low-cost on-chip implementation for applications from broadband communications to biomedical, astronomy and more. More... »

PAGES

13004

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/ncomms13004

DOI

http://dx.doi.org/10.1038/ncomms13004

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1014997253

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27687576


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/2008/1005", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Communications Technologies", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/10", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Technology", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Institut National de la Recherche Scientifique\u2014\u00c9nergie, Mat\u00e9riaux et T\u00e9l\u00e9communications (INRS-EMT), Varennes, Quebec, Canada J3X 1S2"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Burla", 
        "givenName": "Maurizio", 
        "id": "sg:person.0761435302.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761435302.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of British Columbia", 
          "id": "https://www.grid.ac/institutes/grid.17091.3e", 
          "name": [
            "Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z4"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Xu", 
        "id": "sg:person.0652012310.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0652012310.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Semiconductors", 
          "id": "https://www.grid.ac/institutes/grid.454865.e", 
          "name": [
            "State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Ming", 
        "id": "sg:person.014720465513.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014720465513.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of British Columbia", 
          "id": "https://www.grid.ac/institutes/grid.17091.3e", 
          "name": [
            "Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z4"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chrostowski", 
        "givenName": "Lukas", 
        "id": "sg:person.0675774534.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675774534.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Institut National de la Recherche Scientifique\u2014\u00c9nergie, Mat\u00e9riaux et T\u00e9l\u00e9communications (INRS-EMT), Varennes, Quebec, Canada J3X 1S2"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aza\u00f1a", 
        "givenName": "Jos\u00e9", 
        "id": "sg:person.01044141641.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044141641.12"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1364/optica.3.000030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023261366"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature16454", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030858133", 
          "https://doi.org/10.1038/nature16454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/optica.2.000751", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031248468"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0268-1242/29/8/083001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034829421"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nphoton.2009.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040021684", 
          "https://doi.org/10.1038/nphoton.2009.1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/047134608x.w4940", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046205770"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/50.618322", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061182759"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/jlt.2014.2366998", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061287939"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/lmwc.2010.2091114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061363590"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/lpt.2005.861307", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061368075"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/lpt.2006.874742", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061368403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/lpt.2008.926025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061370279"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/lpt.2013.2253602", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061372998"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mssc.2012.2232791", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061430285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/oe.17.005433", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065190033"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/oe.17.005433", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065190033"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/oe.17.022983", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065192111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/oe.17.022983", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065192111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/oe.18.020190", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065194606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/oe.18.020190", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065194606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/oe.20.015547", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065200734"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/oe.21.025120", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065205336"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ol.38.004316", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065234597"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ol.39.006241", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065236592"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ofc.2015.m3c.4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093201142"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ofc.2014.th5c.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095538586"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9781316084168", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098704030"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-09-30", 
    "datePublishedReg": "2016-09-30", 
    "description": "Photonic-based instantaneous frequency measurement (IFM) of unknown microwave signals offers improved flexibility and frequency range as compared with electronic solutions. However, no photonic platform has ever demonstrated the key capability to perform dynamic IFM, as required in real-world applications. In addition, all demonstrations to date employ bulky components or need high optical power for operation. Here we demonstrate an integrated photonic IFM system that can identify frequency-varying signals in a dynamic manner, without any need for fast measurement instrumentation. The system is based on a fully linear, ultracompact system based on a waveguide Bragg grating on silicon, only 65-\u03bcm long and operating up to \u223c30\u2009GHz with carrier power below 10\u2009mW, significantly outperforming present technologies. These results open a solid path towards identification of dynamically changing signals over tens of GHz bandwidths using a practical, low-cost on-chip implementation for applications from broadband communications to biomedical, astronomy and more.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/ncomms13004", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1043282", 
        "issn": [
          "2041-1723"
        ], 
        "name": "Nature Communications", 
        "type": "Periodical"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "7"
      }
    ], 
    "name": "Wideband dynamic microwave frequency identification system using a low-power ultracompact silicon photonic chip", 
    "pagination": "13004", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "47738930eb37bb6afb2a273b356084d518f5e6ffaa0221dff3313836a863e209"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27687576"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101528555"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/ncomms13004"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1014997253"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/ncomms13004", 
      "https://app.dimensions.ai/details/publication/pub.1014997253"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T17:19", 
    "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_8672_00000422.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.nature.com/articles/ncomms13004"
  }
]
 

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/ncomms13004'

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/ncomms13004'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/ncomms13004'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/ncomms13004'


 

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

174 TRIPLES      21 PREDICATES      51 URIs      19 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/ncomms13004 schema:about anzsrc-for:10
2 anzsrc-for:1005
3 schema:author N43c25f2923c14f66b8dd01ba7cde108d
4 schema:citation sg:pub.10.1038/nature16454
5 sg:pub.10.1038/nphoton.2009.1
6 https://doi.org/10.1002/047134608x.w4940
7 https://doi.org/10.1017/cbo9781316084168
8 https://doi.org/10.1088/0268-1242/29/8/083001
9 https://doi.org/10.1109/50.618322
10 https://doi.org/10.1109/jlt.2014.2366998
11 https://doi.org/10.1109/lmwc.2010.2091114
12 https://doi.org/10.1109/lpt.2005.861307
13 https://doi.org/10.1109/lpt.2006.874742
14 https://doi.org/10.1109/lpt.2008.926025
15 https://doi.org/10.1109/lpt.2013.2253602
16 https://doi.org/10.1109/mssc.2012.2232791
17 https://doi.org/10.1364/oe.17.005433
18 https://doi.org/10.1364/oe.17.022983
19 https://doi.org/10.1364/oe.18.020190
20 https://doi.org/10.1364/oe.20.015547
21 https://doi.org/10.1364/oe.21.025120
22 https://doi.org/10.1364/ofc.2014.th5c.1
23 https://doi.org/10.1364/ofc.2015.m3c.4
24 https://doi.org/10.1364/ol.38.004316
25 https://doi.org/10.1364/ol.39.006241
26 https://doi.org/10.1364/optica.2.000751
27 https://doi.org/10.1364/optica.3.000030
28 schema:datePublished 2016-09-30
29 schema:datePublishedReg 2016-09-30
30 schema:description Photonic-based instantaneous frequency measurement (IFM) of unknown microwave signals offers improved flexibility and frequency range as compared with electronic solutions. However, no photonic platform has ever demonstrated the key capability to perform dynamic IFM, as required in real-world applications. In addition, all demonstrations to date employ bulky components or need high optical power for operation. Here we demonstrate an integrated photonic IFM system that can identify frequency-varying signals in a dynamic manner, without any need for fast measurement instrumentation. The system is based on a fully linear, ultracompact system based on a waveguide Bragg grating on silicon, only 65-μm long and operating up to ∼30 GHz with carrier power below 10 mW, significantly outperforming present technologies. These results open a solid path towards identification of dynamically changing signals over tens of GHz bandwidths using a practical, low-cost on-chip implementation for applications from broadband communications to biomedical, astronomy and more.
31 schema:genre research_article
32 schema:inLanguage en
33 schema:isAccessibleForFree true
34 schema:isPartOf N2b5160615b344c0b9a65729244566c99
35 sg:journal.1043282
36 schema:name Wideband dynamic microwave frequency identification system using a low-power ultracompact silicon photonic chip
37 schema:pagination 13004
38 schema:productId N4feb8b92eb1244669b381a281cf67b65
39 N7d6897a478ba48d2a9dacdc7ad539d76
40 Nab0797c0d65d4c4f8112b7f745376496
41 Nd1d9e2074eae4c408b1b60d65307bf66
42 Nde892fdf672246e788c47a22034e61b7
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014997253
44 https://doi.org/10.1038/ncomms13004
45 schema:sdDatePublished 2019-04-10T17:19
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher N11a4409da86b4cb789fb71898d23763d
48 schema:url http://www.nature.com/articles/ncomms13004
49 sgo:license sg:explorer/license/
50 sgo:sdDataset articles
51 rdf:type schema:ScholarlyArticle
52 N0c4b1aabacb04337b0f73c7efe3a2577 rdf:first sg:person.0652012310.83
53 rdf:rest N2fc7825a5a9840f9ba5ad3c22cf33514
54 N11a4409da86b4cb789fb71898d23763d schema:name Springer Nature - SN SciGraph project
55 rdf:type schema:Organization
56 N165bfcd496a641f2b0ba08f9b5769c0d rdf:first sg:person.0675774534.27
57 rdf:rest N578951795fb6458ca7d2a62addc0b18b
58 N213d039f97534c438a4189b575816397 schema:name Institut National de la Recherche Scientifique—Énergie, Matériaux et Télécommunications (INRS-EMT), Varennes, Quebec, Canada J3X 1S2
59 rdf:type schema:Organization
60 N2b5160615b344c0b9a65729244566c99 schema:volumeNumber 7
61 rdf:type schema:PublicationVolume
62 N2fc7825a5a9840f9ba5ad3c22cf33514 rdf:first sg:person.014720465513.27
63 rdf:rest N165bfcd496a641f2b0ba08f9b5769c0d
64 N43c25f2923c14f66b8dd01ba7cde108d rdf:first sg:person.0761435302.34
65 rdf:rest N0c4b1aabacb04337b0f73c7efe3a2577
66 N4feb8b92eb1244669b381a281cf67b65 schema:name doi
67 schema:value 10.1038/ncomms13004
68 rdf:type schema:PropertyValue
69 N578951795fb6458ca7d2a62addc0b18b rdf:first sg:person.01044141641.12
70 rdf:rest rdf:nil
71 N7d6897a478ba48d2a9dacdc7ad539d76 schema:name nlm_unique_id
72 schema:value 101528555
73 rdf:type schema:PropertyValue
74 Nab0797c0d65d4c4f8112b7f745376496 schema:name pubmed_id
75 schema:value 27687576
76 rdf:type schema:PropertyValue
77 Ncbf69cdd85c144cc97cfd7a92ca8a7ea schema:name Institut National de la Recherche Scientifique—Énergie, Matériaux et Télécommunications (INRS-EMT), Varennes, Quebec, Canada J3X 1S2
78 rdf:type schema:Organization
79 Nd1d9e2074eae4c408b1b60d65307bf66 schema:name readcube_id
80 schema:value 47738930eb37bb6afb2a273b356084d518f5e6ffaa0221dff3313836a863e209
81 rdf:type schema:PropertyValue
82 Nde892fdf672246e788c47a22034e61b7 schema:name dimensions_id
83 schema:value pub.1014997253
84 rdf:type schema:PropertyValue
85 anzsrc-for:10 schema:inDefinedTermSet anzsrc-for:
86 schema:name Technology
87 rdf:type schema:DefinedTerm
88 anzsrc-for:1005 schema:inDefinedTermSet anzsrc-for:
89 schema:name Communications Technologies
90 rdf:type schema:DefinedTerm
91 sg:journal.1043282 schema:issn 2041-1723
92 schema:name Nature Communications
93 rdf:type schema:Periodical
94 sg:person.01044141641.12 schema:affiliation N213d039f97534c438a4189b575816397
95 schema:familyName Azaña
96 schema:givenName José
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044141641.12
98 rdf:type schema:Person
99 sg:person.014720465513.27 schema:affiliation https://www.grid.ac/institutes/grid.454865.e
100 schema:familyName Li
101 schema:givenName Ming
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014720465513.27
103 rdf:type schema:Person
104 sg:person.0652012310.83 schema:affiliation https://www.grid.ac/institutes/grid.17091.3e
105 schema:familyName Wang
106 schema:givenName Xu
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0652012310.83
108 rdf:type schema:Person
109 sg:person.0675774534.27 schema:affiliation https://www.grid.ac/institutes/grid.17091.3e
110 schema:familyName Chrostowski
111 schema:givenName Lukas
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675774534.27
113 rdf:type schema:Person
114 sg:person.0761435302.34 schema:affiliation Ncbf69cdd85c144cc97cfd7a92ca8a7ea
115 schema:familyName Burla
116 schema:givenName Maurizio
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761435302.34
118 rdf:type schema:Person
119 sg:pub.10.1038/nature16454 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030858133
120 https://doi.org/10.1038/nature16454
121 rdf:type schema:CreativeWork
122 sg:pub.10.1038/nphoton.2009.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040021684
123 https://doi.org/10.1038/nphoton.2009.1
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1002/047134608x.w4940 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046205770
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1017/cbo9781316084168 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098704030
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1088/0268-1242/29/8/083001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034829421
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1109/50.618322 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061182759
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1109/jlt.2014.2366998 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061287939
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1109/lmwc.2010.2091114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061363590
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1109/lpt.2005.861307 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061368075
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1109/lpt.2006.874742 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061368403
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1109/lpt.2008.926025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061370279
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1109/lpt.2013.2253602 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061372998
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1109/mssc.2012.2232791 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061430285
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1364/oe.17.005433 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065190033
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1364/oe.17.022983 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065192111
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1364/oe.18.020190 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065194606
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1364/oe.20.015547 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065200734
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1364/oe.21.025120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065205336
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1364/ofc.2014.th5c.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095538586
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1364/ofc.2015.m3c.4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093201142
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1364/ol.38.004316 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065234597
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1364/ol.39.006241 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065236592
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1364/optica.2.000751 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031248468
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1364/optica.3.000030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023261366
168 rdf:type schema:CreativeWork
169 https://www.grid.ac/institutes/grid.17091.3e schema:alternateName University of British Columbia
170 schema:name Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z4
171 rdf:type schema:Organization
172 https://www.grid.ac/institutes/grid.454865.e schema:alternateName Institute of Semiconductors
173 schema:name State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China
174 rdf:type schema:Organization
 




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


...