Spontaneous Raman scattering: a useful tool for investigating the afterglow of nanosecond scale discharges in air View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-04

AUTHORS

A. Lo, G. Cléon, P. Vervisch, A. Cessou

ABSTRACT

Nanosecond scale discharges are considered an interesting way for assisting combustion by enhancing either flame stabilization or ignition. Better understanding of energy deposit and radical species production processes is still required under pressure conditions normally encountered in combustion. The purpose of the present paper is to show that spontaneous Raman scattering, seldom used to investigate nanosecond pulsed discharges, is a useful measurement method for investigating the energy deposit of these discharges. The advantage of spontaneous Raman scattering is described by analyzing N2 and O2 spectra during the post-discharge of a filamentary nanosecond air discharge under atmospheric pressure, using phase-locked average spectra. The main advantages of spontaneous Raman scattering measurements are that they allow line-wise probing of different species with the same experimental setup and the determination of vibrational distribution by comparison with theoretical modeling over a wide range of vibrational levels (from v=0 to v=20 for N2). The model proposed takes into account the high level of vibrational excitation and the strong non-equilibrium observed, allowing the characterization of the vibrational relaxation over the complete post-discharge duration. Although the rotational structure is not resolved, the rotational temperature and thus translational temperature are determined with a moderate uncertainty for T above 500 K. More... »

PAGES

229-242

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00340-012-4874-3

DOI

http://dx.doi.org/10.1007/s00340-012-4874-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1011284376


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/2008/0299", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Other Physical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/02", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Complexe de Recherche Interprofessionnel en A\u00e9rothermochimie", 
          "id": "https://www.grid.ac/institutes/grid.462587.a", 
          "name": [
            "CORIA, UMR 6614 CNRS, Universit\u00e9 et INSA de Rouen, St Etienne du Rouvray, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lo", 
        "givenName": "A.", 
        "id": "sg:person.011230167717.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011230167717.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Complexe de Recherche Interprofessionnel en A\u00e9rothermochimie", 
          "id": "https://www.grid.ac/institutes/grid.462587.a", 
          "name": [
            "CORIA, UMR 6614 CNRS, Universit\u00e9 et INSA de Rouen, St Etienne du Rouvray, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cl\u00e9on", 
        "givenName": "G.", 
        "id": "sg:person.01235243601.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01235243601.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Complexe de Recherche Interprofessionnel en A\u00e9rothermochimie", 
          "id": "https://www.grid.ac/institutes/grid.462587.a", 
          "name": [
            "CORIA, UMR 6614 CNRS, Universit\u00e9 et INSA de Rouen, St Etienne du Rouvray, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vervisch", 
        "givenName": "P.", 
        "id": "sg:person.013604673626.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013604673626.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Complexe de Recherche Interprofessionnel en A\u00e9rothermochimie", 
          "id": "https://www.grid.ac/institutes/grid.462587.a", 
          "name": [
            "CORIA, UMR 6614 CNRS, Universit\u00e9 et INSA de Rouen, St Etienne du Rouvray, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cessou", 
        "givenName": "A.", 
        "id": "sg:person.013310762273.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013310762273.66"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1088/0022-3727/35/16/311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005212416"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-2852(02)00012-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006921335"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-2852(02)00012-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006921335"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-4073(68)90081-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010389729"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-4073(68)90081-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010389729"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cplett.2007.06.099", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011024294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0022-3727/43/25/255201", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011759084"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0022-3727/43/25/255201", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011759084"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jqsrt.2004.10.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017091677"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.proci.2008.06.049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017665637"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0963-0252/19/6/069801", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018069786"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0963-0252/18/4/045030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020290049"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0963-0252/18/4/045030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020290049"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0022-3727/42/17/175202", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023327482"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0022-3727/42/17/175202", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023327482"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/1.1409722", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024949957", 
          "https://doi.org/10.1134/1.1409722"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.proci.2008.06.045", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026298838"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0022-3727/40/9/022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027356461"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0022-3727/39/16/r01", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033594693"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0963-0252/19/5/055004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037316276"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0963-0252/19/5/055004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037316276"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.proci.2004.08.272", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038654345"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0022-3727/42/5/055508", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045858228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4757-0961-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045881066", 
          "https://doi.org/10.1007/978-1-4757-0961-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4757-0961-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045881066", 
          "https://doi.org/10.1007/978-1-4757-0961-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0022-3727/36/21/014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047831004"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.proci.2006.07.169", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049473682"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1051/jphys:0198700480110193900", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056991702"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1730279", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057796699"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1742069", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057804521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.439374", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058017403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/27.597258", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061140339"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ol.32.003290", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065225565"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012-04", 
    "datePublishedReg": "2012-04-01", 
    "description": "Nanosecond scale discharges are considered an interesting way for assisting combustion by enhancing either flame stabilization or ignition. Better understanding of energy deposit and radical species production processes is still required under pressure conditions normally encountered in combustion. The purpose of the present paper is to show that spontaneous Raman scattering, seldom used to investigate nanosecond pulsed discharges, is a useful measurement method for investigating the energy deposit of these discharges. The advantage of spontaneous Raman scattering is described by analyzing N2 and O2 spectra during the post-discharge of a filamentary nanosecond air discharge under atmospheric pressure, using phase-locked average spectra. The main advantages of spontaneous Raman scattering measurements are that they allow line-wise probing of different species with the same experimental setup and the determination of vibrational distribution by comparison with theoretical modeling over a wide range of vibrational levels (from v=0 to v=20 for N2). The model proposed takes into account the high level of vibrational excitation and the strong non-equilibrium observed, allowing the characterization of the vibrational relaxation over the complete post-discharge duration. Although the rotational structure is not resolved, the rotational temperature and thus translational temperature are determined with a moderate uncertainty for T above 500 K.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00340-012-4874-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1312262", 
        "issn": [
          "0946-2171", 
          "1432-0649"
        ], 
        "name": "Applied Physics B", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "107"
      }
    ], 
    "name": "Spontaneous Raman scattering: a useful tool for investigating the afterglow of nanosecond scale discharges in air", 
    "pagination": "229-242", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "35c3af9009c93b439dd0068977da1517d5f9affc47ea8ba223a7d661b6d31900"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00340-012-4874-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1011284376"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00340-012-4874-3", 
      "https://app.dimensions.ai/details/publication/pub.1011284376"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T01:01", 
    "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_8697_00000486.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00340-012-4874-3"
  }
]
 

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/s00340-012-4874-3'

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/s00340-012-4874-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00340-012-4874-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00340-012-4874-3'


 

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

162 TRIPLES      21 PREDICATES      53 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00340-012-4874-3 schema:about anzsrc-for:02
2 anzsrc-for:0299
3 schema:author N5afad97109914b1f884e3a3a10a643a6
4 schema:citation sg:pub.10.1007/978-1-4757-0961-2
5 sg:pub.10.1134/1.1409722
6 https://doi.org/10.1016/0022-4073(68)90081-2
7 https://doi.org/10.1016/j.cplett.2007.06.099
8 https://doi.org/10.1016/j.jqsrt.2004.10.004
9 https://doi.org/10.1016/j.proci.2004.08.272
10 https://doi.org/10.1016/j.proci.2006.07.169
11 https://doi.org/10.1016/j.proci.2008.06.045
12 https://doi.org/10.1016/j.proci.2008.06.049
13 https://doi.org/10.1016/s0022-2852(02)00012-7
14 https://doi.org/10.1051/jphys:0198700480110193900
15 https://doi.org/10.1063/1.1730279
16 https://doi.org/10.1063/1.1742069
17 https://doi.org/10.1063/1.439374
18 https://doi.org/10.1088/0022-3727/35/16/311
19 https://doi.org/10.1088/0022-3727/36/21/014
20 https://doi.org/10.1088/0022-3727/39/16/r01
21 https://doi.org/10.1088/0022-3727/40/9/022
22 https://doi.org/10.1088/0022-3727/42/17/175202
23 https://doi.org/10.1088/0022-3727/42/5/055508
24 https://doi.org/10.1088/0022-3727/43/25/255201
25 https://doi.org/10.1088/0963-0252/18/4/045030
26 https://doi.org/10.1088/0963-0252/19/5/055004
27 https://doi.org/10.1088/0963-0252/19/6/069801
28 https://doi.org/10.1109/27.597258
29 https://doi.org/10.1364/ol.32.003290
30 schema:datePublished 2012-04
31 schema:datePublishedReg 2012-04-01
32 schema:description Nanosecond scale discharges are considered an interesting way for assisting combustion by enhancing either flame stabilization or ignition. Better understanding of energy deposit and radical species production processes is still required under pressure conditions normally encountered in combustion. The purpose of the present paper is to show that spontaneous Raman scattering, seldom used to investigate nanosecond pulsed discharges, is a useful measurement method for investigating the energy deposit of these discharges. The advantage of spontaneous Raman scattering is described by analyzing N2 and O2 spectra during the post-discharge of a filamentary nanosecond air discharge under atmospheric pressure, using phase-locked average spectra. The main advantages of spontaneous Raman scattering measurements are that they allow line-wise probing of different species with the same experimental setup and the determination of vibrational distribution by comparison with theoretical modeling over a wide range of vibrational levels (from v=0 to v=20 for N2). The model proposed takes into account the high level of vibrational excitation and the strong non-equilibrium observed, allowing the characterization of the vibrational relaxation over the complete post-discharge duration. Although the rotational structure is not resolved, the rotational temperature and thus translational temperature are determined with a moderate uncertainty for T above 500 K.
33 schema:genre research_article
34 schema:inLanguage en
35 schema:isAccessibleForFree false
36 schema:isPartOf N684d4b4729f14fa29bea9ea88d15f706
37 N70f19a69d05141639bc25b6b7a3c0ba3
38 sg:journal.1312262
39 schema:name Spontaneous Raman scattering: a useful tool for investigating the afterglow of nanosecond scale discharges in air
40 schema:pagination 229-242
41 schema:productId N67c6f3d5d00744cd95089eb84819bbbe
42 N8698125289f4452db370ea872e68e8c1
43 N940321a563784e55928183ea92f5de5b
44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011284376
45 https://doi.org/10.1007/s00340-012-4874-3
46 schema:sdDatePublished 2019-04-11T01:01
47 schema:sdLicense https://scigraph.springernature.com/explorer/license/
48 schema:sdPublisher N96fd67068fab4824960499b658d77435
49 schema:url http://link.springer.com/10.1007/s00340-012-4874-3
50 sgo:license sg:explorer/license/
51 sgo:sdDataset articles
52 rdf:type schema:ScholarlyArticle
53 N3b42829684484349bbdf86c25cb1b87e rdf:first sg:person.013310762273.66
54 rdf:rest rdf:nil
55 N5afad97109914b1f884e3a3a10a643a6 rdf:first sg:person.011230167717.49
56 rdf:rest Nd8e1d9db14eb44699e20c842fc8a5c81
57 N67c6f3d5d00744cd95089eb84819bbbe schema:name doi
58 schema:value 10.1007/s00340-012-4874-3
59 rdf:type schema:PropertyValue
60 N684d4b4729f14fa29bea9ea88d15f706 schema:volumeNumber 107
61 rdf:type schema:PublicationVolume
62 N68aaf718d051457694171eb88a6b0532 rdf:first sg:person.013604673626.39
63 rdf:rest N3b42829684484349bbdf86c25cb1b87e
64 N70f19a69d05141639bc25b6b7a3c0ba3 schema:issueNumber 1
65 rdf:type schema:PublicationIssue
66 N8698125289f4452db370ea872e68e8c1 schema:name readcube_id
67 schema:value 35c3af9009c93b439dd0068977da1517d5f9affc47ea8ba223a7d661b6d31900
68 rdf:type schema:PropertyValue
69 N940321a563784e55928183ea92f5de5b schema:name dimensions_id
70 schema:value pub.1011284376
71 rdf:type schema:PropertyValue
72 N96fd67068fab4824960499b658d77435 schema:name Springer Nature - SN SciGraph project
73 rdf:type schema:Organization
74 Nd8e1d9db14eb44699e20c842fc8a5c81 rdf:first sg:person.01235243601.55
75 rdf:rest N68aaf718d051457694171eb88a6b0532
76 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
77 schema:name Physical Sciences
78 rdf:type schema:DefinedTerm
79 anzsrc-for:0299 schema:inDefinedTermSet anzsrc-for:
80 schema:name Other Physical Sciences
81 rdf:type schema:DefinedTerm
82 sg:journal.1312262 schema:issn 0946-2171
83 1432-0649
84 schema:name Applied Physics B
85 rdf:type schema:Periodical
86 sg:person.011230167717.49 schema:affiliation https://www.grid.ac/institutes/grid.462587.a
87 schema:familyName Lo
88 schema:givenName A.
89 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011230167717.49
90 rdf:type schema:Person
91 sg:person.01235243601.55 schema:affiliation https://www.grid.ac/institutes/grid.462587.a
92 schema:familyName Cléon
93 schema:givenName G.
94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01235243601.55
95 rdf:type schema:Person
96 sg:person.013310762273.66 schema:affiliation https://www.grid.ac/institutes/grid.462587.a
97 schema:familyName Cessou
98 schema:givenName A.
99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013310762273.66
100 rdf:type schema:Person
101 sg:person.013604673626.39 schema:affiliation https://www.grid.ac/institutes/grid.462587.a
102 schema:familyName Vervisch
103 schema:givenName P.
104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013604673626.39
105 rdf:type schema:Person
106 sg:pub.10.1007/978-1-4757-0961-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045881066
107 https://doi.org/10.1007/978-1-4757-0961-2
108 rdf:type schema:CreativeWork
109 sg:pub.10.1134/1.1409722 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024949957
110 https://doi.org/10.1134/1.1409722
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1016/0022-4073(68)90081-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010389729
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1016/j.cplett.2007.06.099 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011024294
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1016/j.jqsrt.2004.10.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017091677
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1016/j.proci.2004.08.272 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038654345
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1016/j.proci.2006.07.169 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049473682
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1016/j.proci.2008.06.045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026298838
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1016/j.proci.2008.06.049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017665637
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1016/s0022-2852(02)00012-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006921335
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1051/jphys:0198700480110193900 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056991702
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1063/1.1730279 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057796699
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1063/1.1742069 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057804521
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1063/1.439374 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058017403
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1088/0022-3727/35/16/311 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005212416
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1088/0022-3727/36/21/014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047831004
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1088/0022-3727/39/16/r01 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033594693
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1088/0022-3727/40/9/022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027356461
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1088/0022-3727/42/17/175202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023327482
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1088/0022-3727/42/5/055508 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045858228
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1088/0022-3727/43/25/255201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011759084
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1088/0963-0252/18/4/045030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020290049
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1088/0963-0252/19/5/055004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037316276
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1088/0963-0252/19/6/069801 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018069786
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1109/27.597258 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061140339
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1364/ol.32.003290 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065225565
159 rdf:type schema:CreativeWork
160 https://www.grid.ac/institutes/grid.462587.a schema:alternateName Complexe de Recherche Interprofessionnel en Aérothermochimie
161 schema:name CORIA, UMR 6614 CNRS, Université et INSA de Rouen, St Etienne du Rouvray, France
162 rdf:type schema:Organization
 




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


...