Ontology type: schema:ScholarlyArticle Open Access: True
2014-05-28
AUTHORSNorio Miura, Tomoaki Sato, Sri Ayu Anggraini, Hiroshi Ikeda, Serge Zhuiykov
ABSTRACTA robust and reliable gas sensing device is considered as a convenient and practical solution for gas concentration monitoring that has become a mandatory requirement in different field of applications. For in situ hazardous gases detection, a mixed-potential type gas sensor has been regarded as a promising solid-state gas sensor. For the past three decades, there has been a significant progress in achieving high performance in mixed-potential type sensors. Therefore, this review is focused on reporting the development of mixed-potential type gas sensors with combined yttria-stabilized zirconia (YSZ) as the base solid electrolyte material and various classes of electrode materials for their potential utilization as a high-performance sensing electrode. The underlying sensing mechanism of a mixed-potential type YSZ-based sensor is elaborated here in detail. Transformation in design and configuration of this type of sensor is also covered in this report. In addition, recent progresses on mixed-potential type gas sensors development for detection of several target gases, such as carbon monoxide, hydrocarbons, nitrogen oxides, hydrogen, and ammonia, are reviewed. Strategies to improve the sensing characteristic, particularly gas sensitivity and selectivity, are also reported. Based on the understanding of the fundamental sensing mechanism and the requirements for high-performance gas sensors, challenges and future trends for this type of gas sensor development are discussed. More... »
PAGES901-925
http://scigraph.springernature.com/pub.10.1007/s11581-014-1140-1
DOIhttp://dx.doi.org/10.1007/s11581-014-1140-1
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1048152376
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/2008/09",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Engineering",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0904",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Chemical Engineering",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Art, Science and Technology Center for Cooperative Research, Kyushu University, 816-8580, Kasuga, Fukuoka, Japan",
"id": "http://www.grid.ac/institutes/grid.177174.3",
"name": [
"Art, Science and Technology Center for Cooperative Research, Kyushu University, 816-8580, Kasuga, Fukuoka, Japan"
],
"type": "Organization"
},
"familyName": "Miura",
"givenName": "Norio",
"id": "sg:person.016401254007.22",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016401254007.22"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Japan Society for the Promotion of Science, Chiyoda-ku, 102-8471, Tokyo, Japan",
"id": "http://www.grid.ac/institutes/grid.54432.34",
"name": [
"Art, Science and Technology Center for Cooperative Research, Kyushu University, 816-8580, Kasuga, Fukuoka, Japan",
"Japan Society for the Promotion of Science, Chiyoda-ku, 102-8471, Tokyo, Japan"
],
"type": "Organization"
},
"familyName": "Sato",
"givenName": "Tomoaki",
"id": "sg:person.010164264661.72",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010164264661.72"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Art, Science and Technology Center for Cooperative Research, Kyushu University, 816-8580, Kasuga, Fukuoka, Japan",
"id": "http://www.grid.ac/institutes/grid.177174.3",
"name": [
"Art, Science and Technology Center for Cooperative Research, Kyushu University, 816-8580, Kasuga, Fukuoka, Japan"
],
"type": "Organization"
},
"familyName": "Anggraini",
"givenName": "Sri Ayu",
"id": "sg:person.011077517305.20",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011077517305.20"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Art, Science and Technology Center for Cooperative Research, Kyushu University, 816-8580, Kasuga, Fukuoka, Japan",
"id": "http://www.grid.ac/institutes/grid.177174.3",
"name": [
"Art, Science and Technology Center for Cooperative Research, Kyushu University, 816-8580, Kasuga, Fukuoka, Japan"
],
"type": "Organization"
},
"familyName": "Ikeda",
"givenName": "Hiroshi",
"id": "sg:person.011557225661.18",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011557225661.18"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Materials Science and Engineering Division, Commonwealth Scientific Industrial Research Organization, 37 Graham Road, Highett, 3190, Melbourne, VIC, Australia",
"id": "http://www.grid.ac/institutes/grid.417654.5",
"name": [
"Art, Science and Technology Center for Cooperative Research, Kyushu University, 816-8580, Kasuga, Fukuoka, Japan",
"Materials Science and Engineering Division, Commonwealth Scientific Industrial Research Organization, 37 Graham Road, Highett, 3190, Melbourne, VIC, Australia"
],
"type": "Organization"
},
"familyName": "Zhuiykov",
"givenName": "Serge",
"id": "sg:person.01204154727.77",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01204154727.77"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/bf02376077",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021725831",
"https://doi.org/10.1007/bf02376077"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02419226",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029819642",
"https://doi.org/10.1007/bf02419226"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02410297",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048193561",
"https://doi.org/10.1007/bf02410297"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11581-009-0354-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031574507",
"https://doi.org/10.1007/s11581-009-0354-0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02375826",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022186804",
"https://doi.org/10.1007/bf02375826"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02376552",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016274653",
"https://doi.org/10.1007/bf02376552"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-0-387-09665-0_5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021862119",
"https://doi.org/10.1007/978-0-387-09665-0_5"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02375828",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028762346",
"https://doi.org/10.1007/bf02375828"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02375775",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051350995",
"https://doi.org/10.1007/bf02375775"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11581-007-0158-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034351432",
"https://doi.org/10.1007/s11581-007-0158-z"
],
"type": "CreativeWork"
}
],
"datePublished": "2014-05-28",
"datePublishedReg": "2014-05-28",
"description": "A robust and reliable gas sensing device is considered as a convenient and practical solution for gas concentration monitoring that has become a mandatory requirement in different field of applications. For in situ hazardous gases detection, a mixed-potential type gas sensor has been regarded as a promising solid-state gas sensor. For the past three decades, there has been a significant progress in achieving high performance in mixed-potential type sensors. Therefore, this review is focused on reporting the development of mixed-potential type gas sensors with combined yttria-stabilized zirconia (YSZ) as the base solid electrolyte material and various classes of electrode materials for their potential utilization as a high-performance sensing electrode. The underlying sensing mechanism of a mixed-potential type YSZ-based sensor is elaborated here in detail. Transformation in design and configuration of this type of sensor is also covered in this report. In addition, recent progresses on mixed-potential type gas sensors development for detection of several target gases, such as carbon monoxide, hydrocarbons, nitrogen oxides, hydrogen, and ammonia, are reviewed. Strategies to improve the sensing characteristic, particularly gas sensitivity and selectivity, are also reported. Based on the understanding of the fundamental sensing mechanism and the requirements for high-performance gas sensors, challenges and future trends for this type of gas sensor development are discussed.",
"genre": "article",
"id": "sg:pub.10.1007/s11581-014-1140-1",
"isAccessibleForFree": true,
"isFundedItemOf": [
{
"id": "sg:grant.6111196",
"type": "MonetaryGrant"
}
],
"isPartOf": [
{
"id": "sg:journal.1041836",
"issn": [
"0947-7047",
"1862-0760"
],
"name": "Ionics",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "7",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "20"
}
],
"keywords": [
"mixed potential type gas sensor",
"yttria-stabilized zirconia",
"type gas sensor",
"gas sensor development",
"gas sensors",
"type yttria-stabilized zirconia",
"solid electrolyte materials",
"mixed-potential type sensor",
"sensing mechanism",
"solid-state gas sensors",
"sensor development",
"high-performance gas sensors",
"hazardous gases detection",
"fundamental sensing mechanism",
"gas sensing devices",
"electrolyte materials",
"electrode materials",
"gas concentration monitoring",
"types of sensors",
"type zirconia",
"gas sensitivity",
"target gases",
"type sensor",
"gases detection",
"sensing devices",
"carbon monoxide",
"nitrogen oxides",
"sensors",
"high performance",
"recent progress",
"zirconia",
"potential utilization",
"selectivity",
"electrode",
"materials",
"practical solution",
"hydrogen",
"oxide",
"ammonia",
"future trends",
"hydrocarbons",
"monoxide",
"different fields",
"concentration monitoring",
"devices",
"gases",
"detection",
"requirements",
"significant progress",
"mandatory requirement",
"configuration",
"solution",
"design",
"performance",
"applications",
"mechanism",
"field",
"characteristics",
"monitoring",
"progress",
"detail",
"transformation",
"utilization",
"addition",
"development",
"types",
"sensitivity",
"review",
"class",
"challenges",
"strategies",
"trends",
"decades",
"understanding",
"report"
],
"name": "A review of mixed-potential type zirconia-based gas sensors",
"pagination": "901-925",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1048152376"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s11581-014-1140-1"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s11581-014-1140-1",
"https://app.dimensions.ai/details/publication/pub.1048152376"
],
"sdDataset": "articles",
"sdDatePublished": "2022-08-04T17:02",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_645.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/s11581-014-1140-1"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
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/s11581-014-1140-1'
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/s11581-014-1140-1'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11581-014-1140-1'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11581-014-1140-1'
This table displays all metadata directly associated to this object as RDF triples.
210 TRIPLES
21 PREDICATES
109 URIs
91 LITERALS
6 BLANK NODES
Subject | Predicate | Object | |
---|---|---|---|
1 | sg:pub.10.1007/s11581-014-1140-1 | schema:about | anzsrc-for:09 |
2 | ″ | ″ | anzsrc-for:0904 |
3 | ″ | schema:author | N69987d3e2797434e932caaa1f80b5e53 |
4 | ″ | schema:citation | sg:pub.10.1007/978-0-387-09665-0_5 |
5 | ″ | ″ | sg:pub.10.1007/bf02375775 |
6 | ″ | ″ | sg:pub.10.1007/bf02375826 |
7 | ″ | ″ | sg:pub.10.1007/bf02375828 |
8 | ″ | ″ | sg:pub.10.1007/bf02376077 |
9 | ″ | ″ | sg:pub.10.1007/bf02376552 |
10 | ″ | ″ | sg:pub.10.1007/bf02410297 |
11 | ″ | ″ | sg:pub.10.1007/bf02419226 |
12 | ″ | ″ | sg:pub.10.1007/s11581-007-0158-z |
13 | ″ | ″ | sg:pub.10.1007/s11581-009-0354-0 |
14 | ″ | schema:datePublished | 2014-05-28 |
15 | ″ | schema:datePublishedReg | 2014-05-28 |
16 | ″ | schema:description | A robust and reliable gas sensing device is considered as a convenient and practical solution for gas concentration monitoring that has become a mandatory requirement in different field of applications. For in situ hazardous gases detection, a mixed-potential type gas sensor has been regarded as a promising solid-state gas sensor. For the past three decades, there has been a significant progress in achieving high performance in mixed-potential type sensors. Therefore, this review is focused on reporting the development of mixed-potential type gas sensors with combined yttria-stabilized zirconia (YSZ) as the base solid electrolyte material and various classes of electrode materials for their potential utilization as a high-performance sensing electrode. The underlying sensing mechanism of a mixed-potential type YSZ-based sensor is elaborated here in detail. Transformation in design and configuration of this type of sensor is also covered in this report. In addition, recent progresses on mixed-potential type gas sensors development for detection of several target gases, such as carbon monoxide, hydrocarbons, nitrogen oxides, hydrogen, and ammonia, are reviewed. Strategies to improve the sensing characteristic, particularly gas sensitivity and selectivity, are also reported. Based on the understanding of the fundamental sensing mechanism and the requirements for high-performance gas sensors, challenges and future trends for this type of gas sensor development are discussed. |
17 | ″ | schema:genre | article |
18 | ″ | schema:isAccessibleForFree | true |
19 | ″ | schema:isPartOf | N3948409bd84c430394f143c513f194ad |
20 | ″ | ″ | N6745c092d9924c7a90bbc46cfb5ba0db |
21 | ″ | ″ | sg:journal.1041836 |
22 | ″ | schema:keywords | addition |
23 | ″ | ″ | ammonia |
24 | ″ | ″ | applications |
25 | ″ | ″ | carbon monoxide |
26 | ″ | ″ | challenges |
27 | ″ | ″ | characteristics |
28 | ″ | ″ | class |
29 | ″ | ″ | concentration monitoring |
30 | ″ | ″ | configuration |
31 | ″ | ″ | decades |
32 | ″ | ″ | design |
33 | ″ | ″ | detail |
34 | ″ | ″ | detection |
35 | ″ | ″ | development |
36 | ″ | ″ | devices |
37 | ″ | ″ | different fields |
38 | ″ | ″ | electrode |
39 | ″ | ″ | electrode materials |
40 | ″ | ″ | electrolyte materials |
41 | ″ | ″ | field |
42 | ″ | ″ | fundamental sensing mechanism |
43 | ″ | ″ | future trends |
44 | ″ | ″ | gas concentration monitoring |
45 | ″ | ″ | gas sensing devices |
46 | ″ | ″ | gas sensitivity |
47 | ″ | ″ | gas sensor development |
48 | ″ | ″ | gas sensors |
49 | ″ | ″ | gases |
50 | ″ | ″ | gases detection |
51 | ″ | ″ | hazardous gases detection |
52 | ″ | ″ | high performance |
53 | ″ | ″ | high-performance gas sensors |
54 | ″ | ″ | hydrocarbons |
55 | ″ | ″ | hydrogen |
56 | ″ | ″ | mandatory requirement |
57 | ″ | ″ | materials |
58 | ″ | ″ | mechanism |
59 | ″ | ″ | mixed potential type gas sensor |
60 | ″ | ″ | mixed-potential type sensor |
61 | ″ | ″ | monitoring |
62 | ″ | ″ | monoxide |
63 | ″ | ″ | nitrogen oxides |
64 | ″ | ″ | oxide |
65 | ″ | ″ | performance |
66 | ″ | ″ | potential utilization |
67 | ″ | ″ | practical solution |
68 | ″ | ″ | progress |
69 | ″ | ″ | recent progress |
70 | ″ | ″ | report |
71 | ″ | ″ | requirements |
72 | ″ | ″ | review |
73 | ″ | ″ | selectivity |
74 | ″ | ″ | sensing devices |
75 | ″ | ″ | sensing mechanism |
76 | ″ | ″ | sensitivity |
77 | ″ | ″ | sensor development |
78 | ″ | ″ | sensors |
79 | ″ | ″ | significant progress |
80 | ″ | ″ | solid electrolyte materials |
81 | ″ | ″ | solid-state gas sensors |
82 | ″ | ″ | solution |
83 | ″ | ″ | strategies |
84 | ″ | ″ | target gases |
85 | ″ | ″ | transformation |
86 | ″ | ″ | trends |
87 | ″ | ″ | type gas sensor |
88 | ″ | ″ | type sensor |
89 | ″ | ″ | type yttria-stabilized zirconia |
90 | ″ | ″ | type zirconia |
91 | ″ | ″ | types |
92 | ″ | ″ | types of sensors |
93 | ″ | ″ | understanding |
94 | ″ | ″ | utilization |
95 | ″ | ″ | yttria-stabilized zirconia |
96 | ″ | ″ | zirconia |
97 | ″ | schema:name | A review of mixed-potential type zirconia-based gas sensors |
98 | ″ | schema:pagination | 901-925 |
99 | ″ | schema:productId | N6658a05f46db4d419643769e82f2c867 |
100 | ″ | ″ | Nc1fb0f197b7e43c0a7f34949e1b64e45 |
101 | ″ | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1048152376 |
102 | ″ | ″ | https://doi.org/10.1007/s11581-014-1140-1 |
103 | ″ | schema:sdDatePublished | 2022-08-04T17:02 |
104 | ″ | schema:sdLicense | https://scigraph.springernature.com/explorer/license/ |
105 | ″ | schema:sdPublisher | Nab3550b8a7604475a8b059d0ee2c3c77 |
106 | ″ | schema:url | https://doi.org/10.1007/s11581-014-1140-1 |
107 | ″ | sgo:license | sg:explorer/license/ |
108 | ″ | sgo:sdDataset | articles |
109 | ″ | rdf:type | schema:ScholarlyArticle |
110 | N3948409bd84c430394f143c513f194ad | schema:volumeNumber | 20 |
111 | ″ | rdf:type | schema:PublicationVolume |
112 | N4aff2b26986f468c80e2fd56e11e8078 | rdf:first | sg:person.011557225661.18 |
113 | ″ | rdf:rest | Nc6ae49ff58f940448bdb7619243063b6 |
114 | N5e8196aebeba48508dfc3a91c72c5feb | rdf:first | sg:person.010164264661.72 |
115 | ″ | rdf:rest | Nb2c892d1374743f89bb096355354bf87 |
116 | N6658a05f46db4d419643769e82f2c867 | schema:name | doi |
117 | ″ | schema:value | 10.1007/s11581-014-1140-1 |
118 | ″ | rdf:type | schema:PropertyValue |
119 | N6745c092d9924c7a90bbc46cfb5ba0db | schema:issueNumber | 7 |
120 | ″ | rdf:type | schema:PublicationIssue |
121 | N69987d3e2797434e932caaa1f80b5e53 | rdf:first | sg:person.016401254007.22 |
122 | ″ | rdf:rest | N5e8196aebeba48508dfc3a91c72c5feb |
123 | Nab3550b8a7604475a8b059d0ee2c3c77 | schema:name | Springer Nature - SN SciGraph project |
124 | ″ | rdf:type | schema:Organization |
125 | Nb2c892d1374743f89bb096355354bf87 | rdf:first | sg:person.011077517305.20 |
126 | ″ | rdf:rest | N4aff2b26986f468c80e2fd56e11e8078 |
127 | Nc1fb0f197b7e43c0a7f34949e1b64e45 | schema:name | dimensions_id |
128 | ″ | schema:value | pub.1048152376 |
129 | ″ | rdf:type | schema:PropertyValue |
130 | Nc6ae49ff58f940448bdb7619243063b6 | rdf:first | sg:person.01204154727.77 |
131 | ″ | rdf:rest | rdf:nil |
132 | anzsrc-for:09 | schema:inDefinedTermSet | anzsrc-for: |
133 | ″ | schema:name | Engineering |
134 | ″ | rdf:type | schema:DefinedTerm |
135 | anzsrc-for:0904 | schema:inDefinedTermSet | anzsrc-for: |
136 | ″ | schema:name | Chemical Engineering |
137 | ″ | rdf:type | schema:DefinedTerm |
138 | sg:grant.6111196 | http://pending.schema.org/fundedItem | sg:pub.10.1007/s11581-014-1140-1 |
139 | ″ | rdf:type | schema:MonetaryGrant |
140 | sg:journal.1041836 | schema:issn | 0947-7047 |
141 | ″ | ″ | 1862-0760 |
142 | ″ | schema:name | Ionics |
143 | ″ | schema:publisher | Springer Nature |
144 | ″ | rdf:type | schema:Periodical |
145 | sg:person.010164264661.72 | schema:affiliation | grid-institutes:grid.54432.34 |
146 | ″ | schema:familyName | Sato |
147 | ″ | schema:givenName | Tomoaki |
148 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010164264661.72 |
149 | ″ | rdf:type | schema:Person |
150 | sg:person.011077517305.20 | schema:affiliation | grid-institutes:grid.177174.3 |
151 | ″ | schema:familyName | Anggraini |
152 | ″ | schema:givenName | Sri Ayu |
153 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011077517305.20 |
154 | ″ | rdf:type | schema:Person |
155 | sg:person.011557225661.18 | schema:affiliation | grid-institutes:grid.177174.3 |
156 | ″ | schema:familyName | Ikeda |
157 | ″ | schema:givenName | Hiroshi |
158 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011557225661.18 |
159 | ″ | rdf:type | schema:Person |
160 | sg:person.01204154727.77 | schema:affiliation | grid-institutes:grid.417654.5 |
161 | ″ | schema:familyName | Zhuiykov |
162 | ″ | schema:givenName | Serge |
163 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01204154727.77 |
164 | ″ | rdf:type | schema:Person |
165 | sg:person.016401254007.22 | schema:affiliation | grid-institutes:grid.177174.3 |
166 | ″ | schema:familyName | Miura |
167 | ″ | schema:givenName | Norio |
168 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016401254007.22 |
169 | ″ | rdf:type | schema:Person |
170 | sg:pub.10.1007/978-0-387-09665-0_5 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1021862119 |
171 | ″ | ″ | https://doi.org/10.1007/978-0-387-09665-0_5 |
172 | ″ | rdf:type | schema:CreativeWork |
173 | sg:pub.10.1007/bf02375775 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1051350995 |
174 | ″ | ″ | https://doi.org/10.1007/bf02375775 |
175 | ″ | rdf:type | schema:CreativeWork |
176 | sg:pub.10.1007/bf02375826 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1022186804 |
177 | ″ | ″ | https://doi.org/10.1007/bf02375826 |
178 | ″ | rdf:type | schema:CreativeWork |
179 | sg:pub.10.1007/bf02375828 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1028762346 |
180 | ″ | ″ | https://doi.org/10.1007/bf02375828 |
181 | ″ | rdf:type | schema:CreativeWork |
182 | sg:pub.10.1007/bf02376077 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1021725831 |
183 | ″ | ″ | https://doi.org/10.1007/bf02376077 |
184 | ″ | rdf:type | schema:CreativeWork |
185 | sg:pub.10.1007/bf02376552 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1016274653 |
186 | ″ | ″ | https://doi.org/10.1007/bf02376552 |
187 | ″ | rdf:type | schema:CreativeWork |
188 | sg:pub.10.1007/bf02410297 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1048193561 |
189 | ″ | ″ | https://doi.org/10.1007/bf02410297 |
190 | ″ | rdf:type | schema:CreativeWork |
191 | sg:pub.10.1007/bf02419226 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1029819642 |
192 | ″ | ″ | https://doi.org/10.1007/bf02419226 |
193 | ″ | rdf:type | schema:CreativeWork |
194 | sg:pub.10.1007/s11581-007-0158-z | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1034351432 |
195 | ″ | ″ | https://doi.org/10.1007/s11581-007-0158-z |
196 | ″ | rdf:type | schema:CreativeWork |
197 | sg:pub.10.1007/s11581-009-0354-0 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1031574507 |
198 | ″ | ″ | https://doi.org/10.1007/s11581-009-0354-0 |
199 | ″ | rdf:type | schema:CreativeWork |
200 | grid-institutes:grid.177174.3 | schema:alternateName | Art, Science and Technology Center for Cooperative Research, Kyushu University, 816-8580, Kasuga, Fukuoka, Japan |
201 | ″ | schema:name | Art, Science and Technology Center for Cooperative Research, Kyushu University, 816-8580, Kasuga, Fukuoka, Japan |
202 | ″ | rdf:type | schema:Organization |
203 | grid-institutes:grid.417654.5 | schema:alternateName | Materials Science and Engineering Division, Commonwealth Scientific Industrial Research Organization, 37 Graham Road, Highett, 3190, Melbourne, VIC, Australia |
204 | ″ | schema:name | Art, Science and Technology Center for Cooperative Research, Kyushu University, 816-8580, Kasuga, Fukuoka, Japan |
205 | ″ | ″ | Materials Science and Engineering Division, Commonwealth Scientific Industrial Research Organization, 37 Graham Road, Highett, 3190, Melbourne, VIC, Australia |
206 | ″ | rdf:type | schema:Organization |
207 | grid-institutes:grid.54432.34 | schema:alternateName | Japan Society for the Promotion of Science, Chiyoda-ku, 102-8471, Tokyo, Japan |
208 | ″ | schema:name | Art, Science and Technology Center for Cooperative Research, Kyushu University, 816-8580, Kasuga, Fukuoka, Japan |
209 | ″ | ″ | Japan Society for the Promotion of Science, Chiyoda-ku, 102-8471, Tokyo, Japan |
210 | ″ | rdf:type | schema:Organization |