Electrical Transport Properties of Single-Crystalline β-Zn4Sb3 Prepared Through the Zn-Sn Mixed-Flux Method View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-02-06

AUTHORS

Hongxia Liu, Shuping Deng, Lanxian Shen, Jinsong Wang, Cheng Feng, Shukang Deng

ABSTRACT

β-Zn4Sb3 is a promising p-type thermoelectric material for utilization in moderate temperatures. This study prepares a group of single-crystalline β-Zn4Sb3 samples using the Zn-Sn mixed-flux method based on the stoichiometric ratios of Zn4+xSb3Sny. The effect of Zn-to-Sn proportion in the flux on the structure and electrical transport properties is investigated. All samples are strip-shaped single crystals of different sizes. The actual Zn content of the present samples is improved (>3.9) compared with that of the samples prepared through the Sn flux method. Larger lattice parameters are also obtained. The carrier concentration of all the samples is in the order of over 1019 cm−3. With increasing Sn rate in the flux, this carrier concentration decreases, whereas mobility is significantly enhanced. The electrical conductivity and Seebeck coefficients of all the samples exhibit a behavior that of a degenerate semiconductor transport. Electrical conductivity initially increases and then decreases as the Sn ratio in the flux increases. The electrical conductivity of the x:y = 5:1 sample reaches 6.45 × 104 S m−1 at 300 K. Benefitting from the electrical conductivity and Seebeck coefficient, the flux proportion of the x:y = 7:1 sample finally achieves the highest power factor value of 1.4 × 10−3 W m−1 K−2 at 598 K. More... »

PAGES

1026-1031

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11665-017-2530-0

DOI

http://dx.doi.org/10.1007/s11665-017-2530-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1083691139


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/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0912", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Materials Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Education Ministry Key Laboratory of Renewable Energy Advanced Materials and Manufacturing Technology, Yunnan Normal University, 650500, Kunming, China", 
          "id": "http://www.grid.ac/institutes/grid.410739.8", 
          "name": [
            "Education Ministry Key Laboratory of Renewable Energy Advanced Materials and Manufacturing Technology, Yunnan Normal University, 650500, Kunming, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Hongxia", 
        "id": "sg:person.016301166253.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016301166253.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Education Ministry Key Laboratory of Renewable Energy Advanced Materials and Manufacturing Technology, Yunnan Normal University, 650500, Kunming, China", 
          "id": "http://www.grid.ac/institutes/grid.410739.8", 
          "name": [
            "Education Ministry Key Laboratory of Renewable Energy Advanced Materials and Manufacturing Technology, Yunnan Normal University, 650500, Kunming, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Deng", 
        "givenName": "Shuping", 
        "id": "sg:person.013403133342.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013403133342.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Education Ministry Key Laboratory of Renewable Energy Advanced Materials and Manufacturing Technology, Yunnan Normal University, 650500, Kunming, China", 
          "id": "http://www.grid.ac/institutes/grid.410739.8", 
          "name": [
            "Education Ministry Key Laboratory of Renewable Energy Advanced Materials and Manufacturing Technology, Yunnan Normal University, 650500, Kunming, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shen", 
        "givenName": "Lanxian", 
        "id": "sg:person.011456364325.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011456364325.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Education Ministry Key Laboratory of Renewable Energy Advanced Materials and Manufacturing Technology, Yunnan Normal University, 650500, Kunming, China", 
          "id": "http://www.grid.ac/institutes/grid.410739.8", 
          "name": [
            "Education Ministry Key Laboratory of Renewable Energy Advanced Materials and Manufacturing Technology, Yunnan Normal University, 650500, Kunming, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Jinsong", 
        "id": "sg:person.011015562774.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011015562774.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Education Ministry Key Laboratory of Renewable Energy Advanced Materials and Manufacturing Technology, Yunnan Normal University, 650500, Kunming, China", 
          "id": "http://www.grid.ac/institutes/grid.410739.8", 
          "name": [
            "Education Ministry Key Laboratory of Renewable Energy Advanced Materials and Manufacturing Technology, Yunnan Normal University, 650500, Kunming, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Feng", 
        "givenName": "Cheng", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Education Ministry Key Laboratory of Renewable Energy Advanced Materials and Manufacturing Technology, Yunnan Normal University, 650500, Kunming, China", 
          "id": "http://www.grid.ac/institutes/grid.410739.8", 
          "name": [
            "Education Ministry Key Laboratory of Renewable Energy Advanced Materials and Manufacturing Technology, Yunnan Normal University, 650500, Kunming, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Deng", 
        "givenName": "Shukang", 
        "id": "sg:person.013072454753.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013072454753.49"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s11665-016-2063-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053095525", 
          "https://doi.org/10.1007/s11665-016-2063-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat1154", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006695398", 
          "https://doi.org/10.1038/nmat1154"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat2090", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014989328", 
          "https://doi.org/10.1038/nmat2090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1557/s0883769400031419", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067962412", 
          "https://doi.org/10.1557/s0883769400031419"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11664-012-1927-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018001679", 
          "https://doi.org/10.1007/s11664-012-1927-7"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-02-06", 
    "datePublishedReg": "2017-02-06", 
    "description": "Abstract\u03b2-Zn4Sb3 is a promising p-type thermoelectric material for utilization in moderate temperatures. This study prepares a group of single-crystalline \u03b2-Zn4Sb3 samples using the Zn-Sn mixed-flux method based on the stoichiometric ratios of Zn4+xSb3Sny. The effect of Zn-to-Sn proportion in the flux on the structure and electrical transport properties is investigated. All samples are strip-shaped single crystals of different sizes. The actual Zn content of the present samples is improved (>3.9) compared with that of the samples prepared through the Sn flux method. Larger lattice parameters are also obtained. The carrier concentration of all the samples is in the order of over 1019 cm\u22123. With increasing Sn rate in the flux, this carrier concentration decreases, whereas mobility is significantly enhanced. The electrical conductivity and Seebeck coefficients of all the samples exhibit a behavior that of a degenerate semiconductor transport. Electrical conductivity initially increases and then decreases as the Sn ratio in the flux increases. The electrical conductivity of the x:y\u00a0=\u00a05:1 sample reaches 6.45\u00a0\u00d7\u00a0104 S\u00a0m\u22121 at 300\u00a0K. Benefitting from the electrical conductivity and Seebeck coefficient, the flux proportion of the x:y\u00a0=\u00a07:1 sample finally achieves the highest power factor value of 1.4\u00a0\u00d7\u00a010\u22123 W\u00a0m\u22121\u00a0K\u22122 at 598\u00a0K.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s11665-017-2530-0", 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.7177718", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1042007", 
        "issn": [
          "1059-9495", 
          "1544-1024"
        ], 
        "name": "Journal of Materials Engineering and Performance", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "26"
      }
    ], 
    "keywords": [
      "electrical transport properties", 
      "electrical conductivity", 
      "single crystalline \u03b2-Zn4Sb3", 
      "Seebeck coefficient", 
      "carrier concentration", 
      "promising p-type thermoelectric material", 
      "p-type thermoelectric material", 
      "higher power factor values", 
      "power factor values", 
      "transport properties", 
      "thermoelectric materials", 
      "flux method", 
      "larger lattice parameter", 
      "semiconductor transport", 
      "Sn proportion", 
      "flux proportion", 
      "\u03b2-Zn4Sb3", 
      "conductivity", 
      "Sn ratio", 
      "flux increases", 
      "actual Zn content", 
      "moderate temperatures", 
      "effect of Zn", 
      "factor values", 
      "lattice parameters", 
      "stoichiometric ratio", 
      "Sn-flux method", 
      "different sizes", 
      "flux", 
      "single crystals", 
      "properties", 
      "coefficient", 
      "Zn content", 
      "method", 
      "temperature", 
      "materials", 
      "ratio", 
      "parameters", 
      "transport", 
      "behavior", 
      "samples", 
      "structure", 
      "concentration", 
      "mobility", 
      "size", 
      "crystals", 
      "order", 
      "Mixed", 
      "utilization", 
      "Zn", 
      "benefitting", 
      "content", 
      "values", 
      "increase", 
      "effect", 
      "rate", 
      "present sample", 
      "study", 
      "proportion", 
      "group", 
      "SN rate"
    ], 
    "name": "Electrical Transport Properties of Single-Crystalline \u03b2-Zn4Sb3 Prepared Through the Zn-Sn Mixed-Flux Method", 
    "pagination": "1026-1031", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1083691139"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11665-017-2530-0"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11665-017-2530-0", 
      "https://app.dimensions.ai/details/publication/pub.1083691139"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-12-01T06:36", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_744.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s11665-017-2530-0"
  }
]
 

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/s11665-017-2530-0'

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/s11665-017-2530-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11665-017-2530-0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11665-017-2530-0'


 

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

174 TRIPLES      21 PREDICATES      90 URIs      77 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11665-017-2530-0 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author Nd4692cd2253d48698886ae45f01f4cf6
4 schema:citation sg:pub.10.1007/s11664-012-1927-7
5 sg:pub.10.1007/s11665-016-2063-y
6 sg:pub.10.1038/nmat1154
7 sg:pub.10.1038/nmat2090
8 sg:pub.10.1557/s0883769400031419
9 schema:datePublished 2017-02-06
10 schema:datePublishedReg 2017-02-06
11 schema:description Abstractβ-Zn4Sb3 is a promising p-type thermoelectric material for utilization in moderate temperatures. This study prepares a group of single-crystalline β-Zn4Sb3 samples using the Zn-Sn mixed-flux method based on the stoichiometric ratios of Zn4+xSb3Sny. The effect of Zn-to-Sn proportion in the flux on the structure and electrical transport properties is investigated. All samples are strip-shaped single crystals of different sizes. The actual Zn content of the present samples is improved (>3.9) compared with that of the samples prepared through the Sn flux method. Larger lattice parameters are also obtained. The carrier concentration of all the samples is in the order of over 1019 cm−3. With increasing Sn rate in the flux, this carrier concentration decreases, whereas mobility is significantly enhanced. The electrical conductivity and Seebeck coefficients of all the samples exhibit a behavior that of a degenerate semiconductor transport. Electrical conductivity initially increases and then decreases as the Sn ratio in the flux increases. The electrical conductivity of the x:y = 5:1 sample reaches 6.45 × 104 S m−1 at 300 K. Benefitting from the electrical conductivity and Seebeck coefficient, the flux proportion of the x:y = 7:1 sample finally achieves the highest power factor value of 1.4 × 10−3 W m−1 K−2 at 598 K.
12 schema:genre article
13 schema:isAccessibleForFree false
14 schema:isPartOf N2673a53310c94d1fba5f407c68318fcd
15 Nc5b3daaba60b4fbf951b3adde376357a
16 sg:journal.1042007
17 schema:keywords Mixed
18 SN rate
19 Seebeck coefficient
20 Sn proportion
21 Sn ratio
22 Sn-flux method
23 Zn
24 Zn content
25 actual Zn content
26 behavior
27 benefitting
28 carrier concentration
29 coefficient
30 concentration
31 conductivity
32 content
33 crystals
34 different sizes
35 effect
36 effect of Zn
37 electrical conductivity
38 electrical transport properties
39 factor values
40 flux
41 flux increases
42 flux method
43 flux proportion
44 group
45 higher power factor values
46 increase
47 larger lattice parameter
48 lattice parameters
49 materials
50 method
51 mobility
52 moderate temperatures
53 order
54 p-type thermoelectric material
55 parameters
56 power factor values
57 present sample
58 promising p-type thermoelectric material
59 properties
60 proportion
61 rate
62 ratio
63 samples
64 semiconductor transport
65 single crystalline β-Zn4Sb3
66 single crystals
67 size
68 stoichiometric ratio
69 structure
70 study
71 temperature
72 thermoelectric materials
73 transport
74 transport properties
75 utilization
76 values
77 β-Zn4Sb3
78 schema:name Electrical Transport Properties of Single-Crystalline β-Zn4Sb3 Prepared Through the Zn-Sn Mixed-Flux Method
79 schema:pagination 1026-1031
80 schema:productId N6b12415d679541008bad9a7a60bd5041
81 Nedaa141c444d45d4b6617395dcf9a74f
82 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083691139
83 https://doi.org/10.1007/s11665-017-2530-0
84 schema:sdDatePublished 2022-12-01T06:36
85 schema:sdLicense https://scigraph.springernature.com/explorer/license/
86 schema:sdPublisher Nccf7dfa1e45b488fa6d67f0892f2e007
87 schema:url https://doi.org/10.1007/s11665-017-2530-0
88 sgo:license sg:explorer/license/
89 sgo:sdDataset articles
90 rdf:type schema:ScholarlyArticle
91 N1db344dfc45f4e3e8570203f0e35484d rdf:first sg:person.011015562774.39
92 rdf:rest N5c40a56315da47baa385d3a9f5e567ec
93 N2673a53310c94d1fba5f407c68318fcd schema:issueNumber 3
94 rdf:type schema:PublicationIssue
95 N5c40a56315da47baa385d3a9f5e567ec rdf:first N5dfb80928606485fb64ca0d2ebe4561f
96 rdf:rest N5ffd6401c1fa425c96683d7721e05934
97 N5dfb80928606485fb64ca0d2ebe4561f schema:affiliation grid-institutes:grid.410739.8
98 schema:familyName Feng
99 schema:givenName Cheng
100 rdf:type schema:Person
101 N5ffd6401c1fa425c96683d7721e05934 rdf:first sg:person.013072454753.49
102 rdf:rest rdf:nil
103 N6b12415d679541008bad9a7a60bd5041 schema:name dimensions_id
104 schema:value pub.1083691139
105 rdf:type schema:PropertyValue
106 N83f446193d6d4be8b616ca83883361da rdf:first sg:person.013403133342.43
107 rdf:rest Nb6c54fee63b848d29dc63b6b303136da
108 Nb6c54fee63b848d29dc63b6b303136da rdf:first sg:person.011456364325.40
109 rdf:rest N1db344dfc45f4e3e8570203f0e35484d
110 Nc5b3daaba60b4fbf951b3adde376357a schema:volumeNumber 26
111 rdf:type schema:PublicationVolume
112 Nccf7dfa1e45b488fa6d67f0892f2e007 schema:name Springer Nature - SN SciGraph project
113 rdf:type schema:Organization
114 Nd4692cd2253d48698886ae45f01f4cf6 rdf:first sg:person.016301166253.53
115 rdf:rest N83f446193d6d4be8b616ca83883361da
116 Nedaa141c444d45d4b6617395dcf9a74f schema:name doi
117 schema:value 10.1007/s11665-017-2530-0
118 rdf:type schema:PropertyValue
119 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
120 schema:name Engineering
121 rdf:type schema:DefinedTerm
122 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
123 schema:name Materials Engineering
124 rdf:type schema:DefinedTerm
125 sg:grant.7177718 http://pending.schema.org/fundedItem sg:pub.10.1007/s11665-017-2530-0
126 rdf:type schema:MonetaryGrant
127 sg:journal.1042007 schema:issn 1059-9495
128 1544-1024
129 schema:name Journal of Materials Engineering and Performance
130 schema:publisher Springer Nature
131 rdf:type schema:Periodical
132 sg:person.011015562774.39 schema:affiliation grid-institutes:grid.410739.8
133 schema:familyName Wang
134 schema:givenName Jinsong
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011015562774.39
136 rdf:type schema:Person
137 sg:person.011456364325.40 schema:affiliation grid-institutes:grid.410739.8
138 schema:familyName Shen
139 schema:givenName Lanxian
140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011456364325.40
141 rdf:type schema:Person
142 sg:person.013072454753.49 schema:affiliation grid-institutes:grid.410739.8
143 schema:familyName Deng
144 schema:givenName Shukang
145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013072454753.49
146 rdf:type schema:Person
147 sg:person.013403133342.43 schema:affiliation grid-institutes:grid.410739.8
148 schema:familyName Deng
149 schema:givenName Shuping
150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013403133342.43
151 rdf:type schema:Person
152 sg:person.016301166253.53 schema:affiliation grid-institutes:grid.410739.8
153 schema:familyName Liu
154 schema:givenName Hongxia
155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016301166253.53
156 rdf:type schema:Person
157 sg:pub.10.1007/s11664-012-1927-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018001679
158 https://doi.org/10.1007/s11664-012-1927-7
159 rdf:type schema:CreativeWork
160 sg:pub.10.1007/s11665-016-2063-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1053095525
161 https://doi.org/10.1007/s11665-016-2063-y
162 rdf:type schema:CreativeWork
163 sg:pub.10.1038/nmat1154 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006695398
164 https://doi.org/10.1038/nmat1154
165 rdf:type schema:CreativeWork
166 sg:pub.10.1038/nmat2090 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014989328
167 https://doi.org/10.1038/nmat2090
168 rdf:type schema:CreativeWork
169 sg:pub.10.1557/s0883769400031419 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067962412
170 https://doi.org/10.1557/s0883769400031419
171 rdf:type schema:CreativeWork
172 grid-institutes:grid.410739.8 schema:alternateName Education Ministry Key Laboratory of Renewable Energy Advanced Materials and Manufacturing Technology, Yunnan Normal University, 650500, Kunming, China
173 schema:name Education Ministry Key Laboratory of Renewable Energy Advanced Materials and Manufacturing Technology, Yunnan Normal University, 650500, Kunming, China
174 rdf:type schema:Organization
 




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


...