The effect of three-dimensional morphology on the efficiency of hybrid polymer solar cells View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2009-10

AUTHORS

Stefan D. Oosterhout, Martijn M. Wienk, Svetlana S. van Bavel, Ralf Thiedmann, L. Jan Anton Koster, Jan Gilot, Joachim Loos, Volker Schmidt, René A. J. Janssen

ABSTRACT

The efficiency of polymer solar cells critically depends on the intimacy of mixing of the donor and acceptor semiconductors used in these devices to create charges and on the presence of unhindered percolation pathways in the individual components to transport holes and electrons. The visualization of these bulk heterojunction morphologies in three dimensions has been challenging and has hampered progress in this area. Here, we spatially resolve the morphology of 2%-efficient hybrid solar cells consisting of poly(3-hexylthiophene) as the donor and ZnO as the acceptor in the nanometre range by electron tomography. The morphology is statistically analysed for spherical contact distance and percolation pathways. Together with solving the three-dimensional exciton-diffusion equation, a consistent and quantitative correlation between solar-cell performance, photophysical data and the three-dimensional morphology has been obtained for devices with different layer thicknesses that enables differentiating between generation and transport as limiting factors to performance. More... »

PAGES

818

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nmat2533

DOI

http://dx.doi.org/10.1038/nmat2533

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1017781208

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/19749766


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": "Eindhoven University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.6852.9", 
          "name": [
            "Molecular Materials and Nanosystems, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Oosterhout", 
        "givenName": "Stefan D.", 
        "id": "sg:person.01313527440.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313527440.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Eindhoven University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.6852.9", 
          "name": [
            "Molecular Materials and Nanosystems, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wienk", 
        "givenName": "Martijn M.", 
        "id": "sg:person.0734322644.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734322644.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Dutch Polymer Institute", 
          "id": "https://www.grid.ac/institutes/grid.438012.c", 
          "name": [
            "Laboratory of Materials and Interface Chemistry and Soft Matter Cryo-TEM Research Unit, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands", 
            "Dutch Polymer Institute, PO Box 902, 5600 AX Eindhoven, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van Bavel", 
        "givenName": "Svetlana S.", 
        "id": "sg:person.0766013325.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0766013325.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Ulm", 
          "id": "https://www.grid.ac/institutes/grid.6582.9", 
          "name": [
            "Institute for Stochastics, Ulm University, 89069 Ulm, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Thiedmann", 
        "givenName": "Ralf", 
        "id": "sg:person.013717645345.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013717645345.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Eindhoven University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.6852.9", 
          "name": [
            "Molecular Materials and Nanosystems, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Koster", 
        "givenName": "L. Jan Anton", 
        "id": "sg:person.013063550702.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013063550702.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Eindhoven University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.6852.9", 
          "name": [
            "Molecular Materials and Nanosystems, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gilot", 
        "givenName": "Jan", 
        "id": "sg:person.01020600340.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020600340.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Eindhoven University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.6852.9", 
          "name": [
            "Laboratory of Materials and Interface Chemistry and Soft Matter Cryo-TEM Research Unit, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Loos", 
        "givenName": "Joachim", 
        "id": "sg:person.01034126525.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01034126525.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Ulm", 
          "id": "https://www.grid.ac/institutes/grid.6582.9", 
          "name": [
            "Institute for Stochastics, Ulm University, 89069 Ulm, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schmidt", 
        "givenName": "Volker", 
        "id": "sg:person.01051347101.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01051347101.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Eindhoven University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.6852.9", 
          "name": [
            "Molecular Materials and Nanosystems, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Janssen", 
        "givenName": "Ren\u00e9 A. J.", 
        "id": "sg:person.013616242116.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013616242116.55"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.cplett.2003.12.045", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000216568"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.200802388", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001822452"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adfm.200500201", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002091209"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adfm.200500201", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002091209"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp9901803", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009339390"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp9901803", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009339390"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nphoton.2009.69", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010099089", 
          "https://doi.org/10.1038/nphoton.2009.69"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nphoton.2009.69", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010099089", 
          "https://doi.org/10.1038/nphoton.2009.69"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adfm.200305049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011357757"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.200390022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027832792"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/anie.200702506", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028621489"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adfm.200500573", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031622687"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adfm.200500573", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031622687"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.200800982", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034020275"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja901545q", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034755066"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja901545q", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034755066"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.2937472", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040009755"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adfm.200700305", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040474448"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.200306659", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044845111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cm070555u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055413158"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cm070555u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055413158"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja0163321", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055814753"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja0163321", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055814753"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp0571372", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056064301"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp0571372", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056064301"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp0757816", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056073842"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp0757816", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056073842"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ma035620+", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056188964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ma035620+", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056188964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl061085q", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056216758"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl061085q", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056216758"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1521244", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057715876"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1914768", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057831827"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1992659", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057834676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.2198539", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057845820"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.56.1893", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060585929"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.56.1893", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060585929"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.72.161401", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060615498"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.72.161401", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060615498"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.72.161401", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060615498"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.74.115318", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060618722"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.74.115318", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060618722"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1069156", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062445885"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2009-10", 
    "datePublishedReg": "2009-10-01", 
    "description": "The efficiency of polymer solar cells critically depends on the intimacy of mixing of the donor and acceptor semiconductors used in these devices to create charges and on the presence of unhindered percolation pathways in the individual components to transport holes and electrons. The visualization of these bulk heterojunction morphologies in three dimensions has been challenging and has hampered progress in this area. Here, we spatially resolve the morphology of 2%-efficient hybrid solar cells consisting of poly(3-hexylthiophene) as the donor and ZnO as the acceptor in the nanometre range by electron tomography. The morphology is statistically analysed for spherical contact distance and percolation pathways. Together with solving the three-dimensional exciton-diffusion equation, a consistent and quantitative correlation between solar-cell performance, photophysical data and the three-dimensional morphology has been obtained for devices with different layer thicknesses that enables differentiating between generation and transport as limiting factors to performance.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/nmat2533", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1031408", 
        "issn": [
          "1476-1122", 
          "1476-4660"
        ], 
        "name": "Nature Materials", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "10", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "8"
      }
    ], 
    "name": "The effect of three-dimensional morphology on the efficiency of hybrid polymer solar cells", 
    "pagination": "818", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "54b89b52ef47cc8af9d46131fe179dc70f91cf5fcd75890d3eec901411c6ff1d"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "19749766"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101155473"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/nmat2533"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1017781208"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/nmat2533", 
      "https://app.dimensions.ai/details/publication/pub.1017781208"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:31", 
    "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/v90/0000000346_0000000346/records_99806_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/nmat2533"
  }
]
 

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/nmat2533'

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/nmat2533'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nmat2533'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nmat2533'


 

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

218 TRIPLES      21 PREDICATES      57 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/nmat2533 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author N9a1377b45b15420da642c2ae80fb7015
4 schema:citation sg:pub.10.1038/nphoton.2009.69
5 https://doi.org/10.1002/adfm.200305049
6 https://doi.org/10.1002/adfm.200500201
7 https://doi.org/10.1002/adfm.200500573
8 https://doi.org/10.1002/adfm.200700305
9 https://doi.org/10.1002/adma.200306659
10 https://doi.org/10.1002/adma.200390022
11 https://doi.org/10.1002/adma.200800982
12 https://doi.org/10.1002/adma.200802388
13 https://doi.org/10.1002/anie.200702506
14 https://doi.org/10.1016/j.cplett.2003.12.045
15 https://doi.org/10.1021/cm070555u
16 https://doi.org/10.1021/ja0163321
17 https://doi.org/10.1021/ja901545q
18 https://doi.org/10.1021/jp0571372
19 https://doi.org/10.1021/jp0757816
20 https://doi.org/10.1021/jp9901803
21 https://doi.org/10.1021/ma035620+
22 https://doi.org/10.1021/nl061085q
23 https://doi.org/10.1063/1.1521244
24 https://doi.org/10.1063/1.1914768
25 https://doi.org/10.1063/1.1992659
26 https://doi.org/10.1063/1.2198539
27 https://doi.org/10.1063/1.2937472
28 https://doi.org/10.1103/physrevb.56.1893
29 https://doi.org/10.1103/physrevb.72.161401
30 https://doi.org/10.1103/physrevb.74.115318
31 https://doi.org/10.1126/science.1069156
32 schema:datePublished 2009-10
33 schema:datePublishedReg 2009-10-01
34 schema:description The efficiency of polymer solar cells critically depends on the intimacy of mixing of the donor and acceptor semiconductors used in these devices to create charges and on the presence of unhindered percolation pathways in the individual components to transport holes and electrons. The visualization of these bulk heterojunction morphologies in three dimensions has been challenging and has hampered progress in this area. Here, we spatially resolve the morphology of 2%-efficient hybrid solar cells consisting of poly(3-hexylthiophene) as the donor and ZnO as the acceptor in the nanometre range by electron tomography. The morphology is statistically analysed for spherical contact distance and percolation pathways. Together with solving the three-dimensional exciton-diffusion equation, a consistent and quantitative correlation between solar-cell performance, photophysical data and the three-dimensional morphology has been obtained for devices with different layer thicknesses that enables differentiating between generation and transport as limiting factors to performance.
35 schema:genre research_article
36 schema:inLanguage en
37 schema:isAccessibleForFree false
38 schema:isPartOf N0085c602bc6d48d6bbf0f7a8603ecc4c
39 N015a1b7f3a4a476f9085900ab030385b
40 sg:journal.1031408
41 schema:name The effect of three-dimensional morphology on the efficiency of hybrid polymer solar cells
42 schema:pagination 818
43 schema:productId N100d63b7872f4f648c650a6469b5cee0
44 N13744f0cc76a4eedbb80d9d91d4db490
45 N271a1c05c05c404592dac18a1d8637db
46 N94116b15e24e422c957cf51d5ae37f3c
47 Nf5386d716dcd4cc7ab3ad3136b75e398
48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017781208
49 https://doi.org/10.1038/nmat2533
50 schema:sdDatePublished 2019-04-11T09:31
51 schema:sdLicense https://scigraph.springernature.com/explorer/license/
52 schema:sdPublisher Nf85dae160e4149c4ac8d976efca40e09
53 schema:url https://www.nature.com/articles/nmat2533
54 sgo:license sg:explorer/license/
55 sgo:sdDataset articles
56 rdf:type schema:ScholarlyArticle
57 N0085c602bc6d48d6bbf0f7a8603ecc4c schema:issueNumber 10
58 rdf:type schema:PublicationIssue
59 N015a1b7f3a4a476f9085900ab030385b schema:volumeNumber 8
60 rdf:type schema:PublicationVolume
61 N100d63b7872f4f648c650a6469b5cee0 schema:name doi
62 schema:value 10.1038/nmat2533
63 rdf:type schema:PropertyValue
64 N13744f0cc76a4eedbb80d9d91d4db490 schema:name nlm_unique_id
65 schema:value 101155473
66 rdf:type schema:PropertyValue
67 N271a1c05c05c404592dac18a1d8637db schema:name readcube_id
68 schema:value 54b89b52ef47cc8af9d46131fe179dc70f91cf5fcd75890d3eec901411c6ff1d
69 rdf:type schema:PropertyValue
70 N30ba69b0e57d471a8b7f0f67b3738171 rdf:first sg:person.013063550702.33
71 rdf:rest Nbaf52e47c1e84520a18c118830f1d10f
72 N5feac1c5d40844d4b4d7d2bbb3929088 rdf:first sg:person.013616242116.55
73 rdf:rest rdf:nil
74 N8020c08f72c64269b5c743da772ced5e rdf:first sg:person.013717645345.87
75 rdf:rest N30ba69b0e57d471a8b7f0f67b3738171
76 N94116b15e24e422c957cf51d5ae37f3c schema:name pubmed_id
77 schema:value 19749766
78 rdf:type schema:PropertyValue
79 N9a1377b45b15420da642c2ae80fb7015 rdf:first sg:person.01313527440.20
80 rdf:rest Ncff1dc6c4bbf418ea97d7c1c1aadb496
81 Nbaf52e47c1e84520a18c118830f1d10f rdf:first sg:person.01020600340.77
82 rdf:rest Ne5de5ea05b5943288f500fbd41082641
83 Nc0b336b08a4944ecbbc620170993bd93 rdf:first sg:person.01051347101.48
84 rdf:rest N5feac1c5d40844d4b4d7d2bbb3929088
85 Nc8fa1ccab69f456c985416a4545cfc9c rdf:first sg:person.0766013325.19
86 rdf:rest N8020c08f72c64269b5c743da772ced5e
87 Ncff1dc6c4bbf418ea97d7c1c1aadb496 rdf:first sg:person.0734322644.29
88 rdf:rest Nc8fa1ccab69f456c985416a4545cfc9c
89 Ne5de5ea05b5943288f500fbd41082641 rdf:first sg:person.01034126525.06
90 rdf:rest Nc0b336b08a4944ecbbc620170993bd93
91 Nf5386d716dcd4cc7ab3ad3136b75e398 schema:name dimensions_id
92 schema:value pub.1017781208
93 rdf:type schema:PropertyValue
94 Nf85dae160e4149c4ac8d976efca40e09 schema:name Springer Nature - SN SciGraph project
95 rdf:type schema:Organization
96 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
97 schema:name Engineering
98 rdf:type schema:DefinedTerm
99 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
100 schema:name Materials Engineering
101 rdf:type schema:DefinedTerm
102 sg:journal.1031408 schema:issn 1476-1122
103 1476-4660
104 schema:name Nature Materials
105 rdf:type schema:Periodical
106 sg:person.01020600340.77 schema:affiliation https://www.grid.ac/institutes/grid.6852.9
107 schema:familyName Gilot
108 schema:givenName Jan
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020600340.77
110 rdf:type schema:Person
111 sg:person.01034126525.06 schema:affiliation https://www.grid.ac/institutes/grid.6852.9
112 schema:familyName Loos
113 schema:givenName Joachim
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01034126525.06
115 rdf:type schema:Person
116 sg:person.01051347101.48 schema:affiliation https://www.grid.ac/institutes/grid.6582.9
117 schema:familyName Schmidt
118 schema:givenName Volker
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01051347101.48
120 rdf:type schema:Person
121 sg:person.013063550702.33 schema:affiliation https://www.grid.ac/institutes/grid.6852.9
122 schema:familyName Koster
123 schema:givenName L. Jan Anton
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013063550702.33
125 rdf:type schema:Person
126 sg:person.01313527440.20 schema:affiliation https://www.grid.ac/institutes/grid.6852.9
127 schema:familyName Oosterhout
128 schema:givenName Stefan D.
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313527440.20
130 rdf:type schema:Person
131 sg:person.013616242116.55 schema:affiliation https://www.grid.ac/institutes/grid.6852.9
132 schema:familyName Janssen
133 schema:givenName René A. J.
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013616242116.55
135 rdf:type schema:Person
136 sg:person.013717645345.87 schema:affiliation https://www.grid.ac/institutes/grid.6582.9
137 schema:familyName Thiedmann
138 schema:givenName Ralf
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013717645345.87
140 rdf:type schema:Person
141 sg:person.0734322644.29 schema:affiliation https://www.grid.ac/institutes/grid.6852.9
142 schema:familyName Wienk
143 schema:givenName Martijn M.
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734322644.29
145 rdf:type schema:Person
146 sg:person.0766013325.19 schema:affiliation https://www.grid.ac/institutes/grid.438012.c
147 schema:familyName van Bavel
148 schema:givenName Svetlana S.
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0766013325.19
150 rdf:type schema:Person
151 sg:pub.10.1038/nphoton.2009.69 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010099089
152 https://doi.org/10.1038/nphoton.2009.69
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1002/adfm.200305049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011357757
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1002/adfm.200500201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002091209
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1002/adfm.200500573 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031622687
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1002/adfm.200700305 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040474448
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1002/adma.200306659 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044845111
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1002/adma.200390022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027832792
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1002/adma.200800982 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034020275
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1002/adma.200802388 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001822452
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1002/anie.200702506 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028621489
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/j.cplett.2003.12.045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000216568
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1021/cm070555u schema:sameAs https://app.dimensions.ai/details/publication/pub.1055413158
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1021/ja0163321 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055814753
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1021/ja901545q schema:sameAs https://app.dimensions.ai/details/publication/pub.1034755066
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1021/jp0571372 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056064301
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1021/jp0757816 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056073842
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1021/jp9901803 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009339390
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1021/ma035620+ schema:sameAs https://app.dimensions.ai/details/publication/pub.1056188964
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1021/nl061085q schema:sameAs https://app.dimensions.ai/details/publication/pub.1056216758
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1063/1.1521244 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057715876
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1063/1.1914768 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057831827
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1063/1.1992659 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057834676
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1063/1.2198539 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057845820
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1063/1.2937472 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040009755
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1103/physrevb.56.1893 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060585929
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1103/physrevb.72.161401 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060615498
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1103/physrevb.74.115318 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060618722
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1126/science.1069156 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062445885
207 rdf:type schema:CreativeWork
208 https://www.grid.ac/institutes/grid.438012.c schema:alternateName Dutch Polymer Institute
209 schema:name Dutch Polymer Institute, PO Box 902, 5600 AX Eindhoven, The Netherlands
210 Laboratory of Materials and Interface Chemistry and Soft Matter Cryo-TEM Research Unit, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands
211 rdf:type schema:Organization
212 https://www.grid.ac/institutes/grid.6582.9 schema:alternateName University of Ulm
213 schema:name Institute for Stochastics, Ulm University, 89069 Ulm, Germany
214 rdf:type schema:Organization
215 https://www.grid.ac/institutes/grid.6852.9 schema:alternateName Eindhoven University of Technology
216 schema:name Laboratory of Materials and Interface Chemistry and Soft Matter Cryo-TEM Research Unit, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands
217 Molecular Materials and Nanosystems, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands
218 rdf:type schema:Organization
 




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


...