Parameter estimation of kinetic cure using DSC non-isothermal data View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2011-02

AUTHORS

Rogério L. Pagano, Verônica M. A. Calado, Frederico W. Tavares, Evaristo C. Biscaia

ABSTRACT

In the present contribution, a procedure to estimate parameters using non-isothermal data was applied. The estimation procedure is based on the use of an energy balance in DSC furnace. The approach found all kinetic parameters of autocatalytic model (E1, E2, A1, A2, m, n) besides the ultimate reaction heat and their confidence regions by using deterministic and heuristic algorithms. The application of this approach to isothermal data was done in a previous work and similar results were obtained. The results show that the use of an energy balance is a good methodology to estimate cure kinetic parameters of non-isothermal experiments. More... »

PAGES

495-499

References to SciGraph publications

  • 2009-11. DSC studies on the curing kinetics of chitosan–alanine using glutaraldehyde as crosslinker in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 2003-05. Simulation of isothermal cure of A powder coating in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 2009-08. TG, EGA and kinetic study by non-isothermal decomposition of a polyaniline with different dispersion degree in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 2009-09. Curing kinetics of lignin-novolac phenolic resins using non-isothermal methods in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10973-010-0984-5

    DOI

    http://dx.doi.org/10.1007/s10973-010-0984-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1031442937


    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/2008/0801", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Artificial Intelligence and Image Processing", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "name": [
                "DEQ/CCET/UFS, Avenida Marechal Rondon, s/n, Rosa Elze, S\u00e3o Cristov\u00e3o, SE, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Pagano", 
            "givenName": "Rog\u00e9rio L.", 
            "id": "sg:person.013274140011.70", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013274140011.70"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "EQ/UFRJ, Av. Hor\u00e1cio Macedo, 2030, Bloco E, sala 211, Ilha do Fund\u00e3o, Rio de Janeiro, RJ, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Calado", 
            "givenName": "Ver\u00f4nica M. A.", 
            "id": "sg:person.014663627076.65", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014663627076.65"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "EQ/UFRJ, Av. Hor\u00e1cio Macedo, 2030, Bloco E, sala 211, Ilha do Fund\u00e3o, Rio de Janeiro, RJ, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tavares", 
            "givenName": "Frederico W.", 
            "id": "sg:person.012161150157.30", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012161150157.30"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "PEQ/COPPE/UFRJ, Centro de Tecnologia, Bloco G, sala 115, Cidade Universit\u00e1ria, Rio de Janeiro, RJ, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Biscaia", 
            "givenName": "Evaristo C.", 
            "id": "sg:person.013477051757.98", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013477051757.98"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/s0032-3861(01)00160-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001798510"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-009-0217-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001803384", 
              "https://doi.org/10.1007/s10973-009-0217-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-009-0217-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001803384", 
              "https://doi.org/10.1007/s10973-009-0217-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1246/bcsj.38.1881", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007444724"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0009-2509(91)85016-q", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012359405"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0032-3861(99)00435-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013630305"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0032-3861(99)00435-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013630305"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0040-6031(00)00654-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013890708"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/pen.11191", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014814884"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tca.2006.05.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016709320"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tca.2004.02.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019700510"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ces.2007.11.024", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021857628"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0040-6031(01)00672-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021935343"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0040-6031(01)00672-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021935343"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-009-0103-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023178072", 
              "https://doi.org/10.1007/s10973-009-0103-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-009-0103-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023178072", 
              "https://doi.org/10.1007/s10973-009-0103-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0032-3861(01)00695-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023726392"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/pen.760130110", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023776752"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.eurpolymj.2008.05.017", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027565056"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0142-9418(03)00082-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029710471"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0142-9418(03)00082-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029710471"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ces.2007.02.020", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031298824"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1024562607857", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031595205", 
              "https://doi.org/10.1023/a:1024562607857"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tca.2006.06.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033461076"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0040-6031(97)00023-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034521045"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0032-3861(00)00473-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034567007"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1081/ppt-200030131", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039545190"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0040-6031(00)00787-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051051663"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0040-6031(00)00787-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051051663"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-009-0319-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051504686", 
              "https://doi.org/10.1007/s10973-009-0319-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-009-0319-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051504686", 
              "https://doi.org/10.1007/s10973-009-0319-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ac60131a045", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055034346"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja01558a009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055807378"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/icnn.1995.488968", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093669333"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/096739110601400501", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1106960409"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/096739110601400501", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1106960409"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2011-02", 
        "datePublishedReg": "2011-02-01", 
        "description": "In the present contribution, a procedure to estimate parameters using non-isothermal data was applied. The estimation procedure is based on the use of an energy balance in DSC furnace. The approach found all kinetic parameters of autocatalytic model (E1, E2, A1, A2, m, n) besides the ultimate reaction heat and their confidence regions by using deterministic and heuristic algorithms. The application of this approach to isothermal data was done in a previous work and similar results were obtained. The results show that the use of an energy balance is a good methodology to estimate cure kinetic parameters of non-isothermal experiments.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s10973-010-0984-5", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1294862", 
            "issn": [
              "1388-6150", 
              "1572-8943"
            ], 
            "name": "Journal of Thermal Analysis and Calorimetry", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "103"
          }
        ], 
        "name": "Parameter estimation of kinetic cure using DSC non-isothermal data", 
        "pagination": "495-499", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "95c9a620a4cb8d51ccc8a5a97d3850931aebbc01d1e3107a1527841f8cd33410"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10973-010-0984-5"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1031442937"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10973-010-0984-5", 
          "https://app.dimensions.ai/details/publication/pub.1031442937"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T13:30", 
        "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_8659_00000589.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2Fs10973-010-0984-5"
      }
    ]
     

    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/s10973-010-0984-5'

    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/s10973-010-0984-5'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10973-010-0984-5'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10973-010-0984-5'


     

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

    175 TRIPLES      21 PREDICATES      55 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10973-010-0984-5 schema:about anzsrc-for:08
    2 anzsrc-for:0801
    3 schema:author N2b547da1bdb5435fb626b0b45b8b9815
    4 schema:citation sg:pub.10.1007/s10973-009-0103-7
    5 sg:pub.10.1007/s10973-009-0217-y
    6 sg:pub.10.1007/s10973-009-0319-6
    7 sg:pub.10.1023/a:1024562607857
    8 https://doi.org/10.1002/pen.11191
    9 https://doi.org/10.1002/pen.760130110
    10 https://doi.org/10.1016/0009-2509(91)85016-q
    11 https://doi.org/10.1016/j.ces.2007.02.020
    12 https://doi.org/10.1016/j.ces.2007.11.024
    13 https://doi.org/10.1016/j.eurpolymj.2008.05.017
    14 https://doi.org/10.1016/j.tca.2004.02.004
    15 https://doi.org/10.1016/j.tca.2006.05.008
    16 https://doi.org/10.1016/j.tca.2006.06.005
    17 https://doi.org/10.1016/s0032-3861(00)00473-0
    18 https://doi.org/10.1016/s0032-3861(01)00160-4
    19 https://doi.org/10.1016/s0032-3861(01)00695-4
    20 https://doi.org/10.1016/s0032-3861(99)00435-8
    21 https://doi.org/10.1016/s0040-6031(00)00654-7
    22 https://doi.org/10.1016/s0040-6031(00)00787-5
    23 https://doi.org/10.1016/s0040-6031(01)00672-4
    24 https://doi.org/10.1016/s0040-6031(97)00023-3
    25 https://doi.org/10.1016/s0142-9418(03)00082-5
    26 https://doi.org/10.1021/ac60131a045
    27 https://doi.org/10.1021/ja01558a009
    28 https://doi.org/10.1081/ppt-200030131
    29 https://doi.org/10.1109/icnn.1995.488968
    30 https://doi.org/10.1177/096739110601400501
    31 https://doi.org/10.1246/bcsj.38.1881
    32 schema:datePublished 2011-02
    33 schema:datePublishedReg 2011-02-01
    34 schema:description In the present contribution, a procedure to estimate parameters using non-isothermal data was applied. The estimation procedure is based on the use of an energy balance in DSC furnace. The approach found all kinetic parameters of autocatalytic model (E1, E2, A1, A2, m, n) besides the ultimate reaction heat and their confidence regions by using deterministic and heuristic algorithms. The application of this approach to isothermal data was done in a previous work and similar results were obtained. The results show that the use of an energy balance is a good methodology to estimate cure kinetic parameters of non-isothermal experiments.
    35 schema:genre research_article
    36 schema:inLanguage en
    37 schema:isAccessibleForFree false
    38 schema:isPartOf N21cd4c29013e49bbbede6cf0d3a3b638
    39 N46cac36a654a4896a4b7e61824624a12
    40 sg:journal.1294862
    41 schema:name Parameter estimation of kinetic cure using DSC non-isothermal data
    42 schema:pagination 495-499
    43 schema:productId N299168c62a14400fb162808063dbb621
    44 Na25188c3fda343b184823835457520e9
    45 Nfd8fb57c5eaa42c08342dd5520c84bd6
    46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031442937
    47 https://doi.org/10.1007/s10973-010-0984-5
    48 schema:sdDatePublished 2019-04-10T13:30
    49 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    50 schema:sdPublisher Nb11689f0aa294956b2b83559ceea8eed
    51 schema:url http://link.springer.com/10.1007%2Fs10973-010-0984-5
    52 sgo:license sg:explorer/license/
    53 sgo:sdDataset articles
    54 rdf:type schema:ScholarlyArticle
    55 N21cd4c29013e49bbbede6cf0d3a3b638 schema:issueNumber 2
    56 rdf:type schema:PublicationIssue
    57 N299168c62a14400fb162808063dbb621 schema:name readcube_id
    58 schema:value 95c9a620a4cb8d51ccc8a5a97d3850931aebbc01d1e3107a1527841f8cd33410
    59 rdf:type schema:PropertyValue
    60 N2b547da1bdb5435fb626b0b45b8b9815 rdf:first sg:person.013274140011.70
    61 rdf:rest Na06c14ee434147d19067ee33450c5558
    62 N327133e3e9be4137a39676b54c137f7d rdf:first sg:person.012161150157.30
    63 rdf:rest Nf0b213c3b67d47b89c3858e5c8900db4
    64 N46cac36a654a4896a4b7e61824624a12 schema:volumeNumber 103
    65 rdf:type schema:PublicationVolume
    66 N504d62a142f746aaa7e7a066f640c52f schema:name EQ/UFRJ, Av. Horácio Macedo, 2030, Bloco E, sala 211, Ilha do Fundão, Rio de Janeiro, RJ, Brazil
    67 rdf:type schema:Organization
    68 N75a59b4d236d43d297b0cb1a1a4d635b schema:name EQ/UFRJ, Av. Horácio Macedo, 2030, Bloco E, sala 211, Ilha do Fundão, Rio de Janeiro, RJ, Brazil
    69 rdf:type schema:Organization
    70 N832f3ddf629a43c5b89c50ca4e90bbd4 schema:name DEQ/CCET/UFS, Avenida Marechal Rondon, s/n, Rosa Elze, São Cristovão, SE, Brazil
    71 rdf:type schema:Organization
    72 Na06c14ee434147d19067ee33450c5558 rdf:first sg:person.014663627076.65
    73 rdf:rest N327133e3e9be4137a39676b54c137f7d
    74 Na25188c3fda343b184823835457520e9 schema:name doi
    75 schema:value 10.1007/s10973-010-0984-5
    76 rdf:type schema:PropertyValue
    77 Nb11689f0aa294956b2b83559ceea8eed schema:name Springer Nature - SN SciGraph project
    78 rdf:type schema:Organization
    79 Nbfb35a92f44e4e27b5a3f1f902e543b2 schema:name PEQ/COPPE/UFRJ, Centro de Tecnologia, Bloco G, sala 115, Cidade Universitária, Rio de Janeiro, RJ, Brazil
    80 rdf:type schema:Organization
    81 Nf0b213c3b67d47b89c3858e5c8900db4 rdf:first sg:person.013477051757.98
    82 rdf:rest rdf:nil
    83 Nfd8fb57c5eaa42c08342dd5520c84bd6 schema:name dimensions_id
    84 schema:value pub.1031442937
    85 rdf:type schema:PropertyValue
    86 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    87 schema:name Information and Computing Sciences
    88 rdf:type schema:DefinedTerm
    89 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    90 schema:name Artificial Intelligence and Image Processing
    91 rdf:type schema:DefinedTerm
    92 sg:journal.1294862 schema:issn 1388-6150
    93 1572-8943
    94 schema:name Journal of Thermal Analysis and Calorimetry
    95 rdf:type schema:Periodical
    96 sg:person.012161150157.30 schema:affiliation N75a59b4d236d43d297b0cb1a1a4d635b
    97 schema:familyName Tavares
    98 schema:givenName Frederico W.
    99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012161150157.30
    100 rdf:type schema:Person
    101 sg:person.013274140011.70 schema:affiliation N832f3ddf629a43c5b89c50ca4e90bbd4
    102 schema:familyName Pagano
    103 schema:givenName Rogério L.
    104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013274140011.70
    105 rdf:type schema:Person
    106 sg:person.013477051757.98 schema:affiliation Nbfb35a92f44e4e27b5a3f1f902e543b2
    107 schema:familyName Biscaia
    108 schema:givenName Evaristo C.
    109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013477051757.98
    110 rdf:type schema:Person
    111 sg:person.014663627076.65 schema:affiliation N504d62a142f746aaa7e7a066f640c52f
    112 schema:familyName Calado
    113 schema:givenName Verônica M. A.
    114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014663627076.65
    115 rdf:type schema:Person
    116 sg:pub.10.1007/s10973-009-0103-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023178072
    117 https://doi.org/10.1007/s10973-009-0103-7
    118 rdf:type schema:CreativeWork
    119 sg:pub.10.1007/s10973-009-0217-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1001803384
    120 https://doi.org/10.1007/s10973-009-0217-y
    121 rdf:type schema:CreativeWork
    122 sg:pub.10.1007/s10973-009-0319-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051504686
    123 https://doi.org/10.1007/s10973-009-0319-6
    124 rdf:type schema:CreativeWork
    125 sg:pub.10.1023/a:1024562607857 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031595205
    126 https://doi.org/10.1023/a:1024562607857
    127 rdf:type schema:CreativeWork
    128 https://doi.org/10.1002/pen.11191 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014814884
    129 rdf:type schema:CreativeWork
    130 https://doi.org/10.1002/pen.760130110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023776752
    131 rdf:type schema:CreativeWork
    132 https://doi.org/10.1016/0009-2509(91)85016-q schema:sameAs https://app.dimensions.ai/details/publication/pub.1012359405
    133 rdf:type schema:CreativeWork
    134 https://doi.org/10.1016/j.ces.2007.02.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031298824
    135 rdf:type schema:CreativeWork
    136 https://doi.org/10.1016/j.ces.2007.11.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021857628
    137 rdf:type schema:CreativeWork
    138 https://doi.org/10.1016/j.eurpolymj.2008.05.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027565056
    139 rdf:type schema:CreativeWork
    140 https://doi.org/10.1016/j.tca.2004.02.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019700510
    141 rdf:type schema:CreativeWork
    142 https://doi.org/10.1016/j.tca.2006.05.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016709320
    143 rdf:type schema:CreativeWork
    144 https://doi.org/10.1016/j.tca.2006.06.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033461076
    145 rdf:type schema:CreativeWork
    146 https://doi.org/10.1016/s0032-3861(00)00473-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034567007
    147 rdf:type schema:CreativeWork
    148 https://doi.org/10.1016/s0032-3861(01)00160-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001798510
    149 rdf:type schema:CreativeWork
    150 https://doi.org/10.1016/s0032-3861(01)00695-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023726392
    151 rdf:type schema:CreativeWork
    152 https://doi.org/10.1016/s0032-3861(99)00435-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013630305
    153 rdf:type schema:CreativeWork
    154 https://doi.org/10.1016/s0040-6031(00)00654-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013890708
    155 rdf:type schema:CreativeWork
    156 https://doi.org/10.1016/s0040-6031(00)00787-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051051663
    157 rdf:type schema:CreativeWork
    158 https://doi.org/10.1016/s0040-6031(01)00672-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021935343
    159 rdf:type schema:CreativeWork
    160 https://doi.org/10.1016/s0040-6031(97)00023-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034521045
    161 rdf:type schema:CreativeWork
    162 https://doi.org/10.1016/s0142-9418(03)00082-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029710471
    163 rdf:type schema:CreativeWork
    164 https://doi.org/10.1021/ac60131a045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055034346
    165 rdf:type schema:CreativeWork
    166 https://doi.org/10.1021/ja01558a009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055807378
    167 rdf:type schema:CreativeWork
    168 https://doi.org/10.1081/ppt-200030131 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039545190
    169 rdf:type schema:CreativeWork
    170 https://doi.org/10.1109/icnn.1995.488968 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093669333
    171 rdf:type schema:CreativeWork
    172 https://doi.org/10.1177/096739110601400501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106960409
    173 rdf:type schema:CreativeWork
    174 https://doi.org/10.1246/bcsj.38.1881 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007444724
    175 rdf:type schema:CreativeWork
     




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


    ...