Ontology type: schema:ScholarlyArticle
2012-08-25
AUTHORSVasyl Sklyarchuk, Yuriy Plevachuk, Rada Novakovic, Ivan Kaban
ABSTRACTSurface tension and density measurements of liquid Ag–Bi–Sn alloys were carried out over a wide temperature range using the sessile drop method. The experimental data of surface tension were analyzed by the Butler thermodynamic model in the regular solution approximation. The Sn-rich Ag–Bi–Sn liquid alloys show better wetting behavior on the Cu substrates as compared to the Ni substrates.Graphical abstract More... »
PAGES1249-1254
http://scigraph.springernature.com/pub.10.1007/s00706-012-0757-x
DOIhttp://dx.doi.org/10.1007/s00706-012-0757-x
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1011158423
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/2008/03",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Chemical Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Department of Metal Physics, Ivan Franko National University, 79005, Lviv, Ukraine",
"id": "http://www.grid.ac/institutes/grid.77054.31",
"name": [
"Department of Metal Physics, Ivan Franko National University, 79005, Lviv, Ukraine"
],
"type": "Organization"
},
"familyName": "Sklyarchuk",
"givenName": "Vasyl",
"id": "sg:person.010667506453.58",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010667506453.58"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Metal Physics, Ivan Franko National University, 79005, Lviv, Ukraine",
"id": "http://www.grid.ac/institutes/grid.77054.31",
"name": [
"Department of Metal Physics, Ivan Franko National University, 79005, Lviv, Ukraine"
],
"type": "Organization"
},
"familyName": "Plevachuk",
"givenName": "Yuriy",
"id": "sg:person.014516767066.22",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014516767066.22"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "National Research Council (CNR-IENI), 16149, Genoa, Italy",
"id": "http://www.grid.ac/institutes/grid.5326.2",
"name": [
"National Research Council (CNR-IENI), 16149, Genoa, Italy"
],
"type": "Organization"
},
"familyName": "Novakovic",
"givenName": "Rada",
"id": "sg:person.01015342556.61",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01015342556.61"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "IFW Dresden, Institute for Complex Materials, P.O. Box 270116, 01171, Dresden, Germany",
"id": "http://www.grid.ac/institutes/grid.14841.38",
"name": [
"IFW Dresden, Institute for Complex Materials, P.O. Box 270116, 01171, Dresden, Germany"
],
"type": "Organization"
},
"familyName": "Kaban",
"givenName": "Ivan",
"id": "sg:person.01277074647.98",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01277074647.98"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/s11664-997-0281-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019795401",
"https://doi.org/10.1007/s11664-997-0281-7"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1557/s0883769400052180",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1067964077",
"https://doi.org/10.1557/s0883769400052180"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11837-001-0097-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039003822",
"https://doi.org/10.1007/s11837-001-0097-5"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11664-001-0213-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023687939",
"https://doi.org/10.1007/s11664-001-0213-x"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02692565",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013167851",
"https://doi.org/10.1007/bf02692565"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11664-009-0952-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019594154",
"https://doi.org/10.1007/s11664-009-0952-7"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11664-999-0251-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005101040",
"https://doi.org/10.1007/s11664-999-0251-3"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11664-999-0250-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036143269",
"https://doi.org/10.1007/s11664-999-0250-4"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11664-001-0136-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031522092",
"https://doi.org/10.1007/s11664-001-0136-6"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02653345",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006198868",
"https://doi.org/10.1007/bf02653345"
],
"type": "CreativeWork"
}
],
"datePublished": "2012-08-25",
"datePublishedReg": "2012-08-25",
"description": "Surface tension and density measurements of liquid Ag\u2013Bi\u2013Sn alloys were carried out over a wide temperature range using the sessile drop method. The experimental data of surface tension were analyzed by the Butler thermodynamic model in the regular solution approximation. The Sn-rich Ag\u2013Bi\u2013Sn liquid alloys show better wetting behavior on the Cu substrates as compared to the Ni substrates.Graphical abstract",
"genre": "article",
"id": "sg:pub.10.1007/s00706-012-0757-x",
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1345587",
"issn": [
"0343-7329",
"0026-9247"
],
"name": "Monatshefte f\u00fcr Chemie - Chemical Monthly",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "9",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "143"
}
],
"keywords": [
"liquid Ag\u2013Bi",
"surface tension",
"sessile drop method",
"Ag\u2013Bi",
"Sn alloy",
"wetting behavior",
"wide temperature range",
"Cu substrate",
"Ni substrate",
"drop method",
"liquid alloys",
"regular solution approximation",
"surface properties",
"alloy",
"temperature range",
"experimental data",
"thermodynamic model",
"density measurements",
"solution approximation",
"substrate",
"tension",
"properties",
"Sn",
"measurements",
"Ag",
"behavior",
"range",
"characteristics",
"method",
"model",
"approximation",
"data"
],
"name": "Surface properties and wetting characteristics of liquid Ag\u2013Bi\u2013Sn alloys",
"pagination": "1249-1254",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1011158423"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s00706-012-0757-x"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s00706-012-0757-x",
"https://app.dimensions.ai/details/publication/pub.1011158423"
],
"sdDataset": "articles",
"sdDatePublished": "2022-08-04T16:59",
"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_583.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/s00706-012-0757-x"
}
]
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/s00706-012-0757-x'
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/s00706-012-0757-x'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00706-012-0757-x'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00706-012-0757-x'
This table displays all metadata directly associated to this object as RDF triples.
152 TRIPLES
21 PREDICATES
65 URIs
48 LITERALS
6 BLANK NODES