Ontology type: schema:ScholarlyArticle
2004-07
AUTHORSV. P. Grigor'ev, S. P. Shpan'ko, O. V. Dymnikova
ABSTRACTThe effect of mixtures of surfactants with variable number and concentration of components belonging to different reaction series (RS) on the metal electrodeposition potentials and currents was interpreted by using linear Gibbs energy relations (LGERs). The consideration is supported by the example of copper electrodeposition in the presence of mixtures of three–five surfactants, which are the compounds of three RS. More... »
PAGES320-325
http://scigraph.springernature.com/pub.10.1023/b:prom.0000036951.19276.22
DOIhttp://dx.doi.org/10.1023/b:prom.0000036951.19276.22
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1047385141
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/2008/0914",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Resources Engineering and Extractive Metallurgy",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Rostov State University, ul. Zorge 7, 344090, Rostov-on-Don, Russia",
"id": "http://www.grid.ac/institutes/grid.182798.d",
"name": [
"Rostov State University, ul. Zorge 7, 344090, Rostov-on-Don, Russia"
],
"type": "Organization"
},
"familyName": "Grigor'ev",
"givenName": "V. P.",
"id": "sg:person.012432550515.97",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012432550515.97"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Rostov State University, ul. Zorge 7, 344090, Rostov-on-Don, Russia",
"id": "http://www.grid.ac/institutes/grid.182798.d",
"name": [
"Rostov State University, ul. Zorge 7, 344090, Rostov-on-Don, Russia"
],
"type": "Organization"
},
"familyName": "Shpan'ko",
"givenName": "S. P.",
"id": "sg:person.07577554272.79",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07577554272.79"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Rostov State University, ul. Zorge 7, 344090, Rostov-on-Don, Russia",
"id": "http://www.grid.ac/institutes/grid.182798.d",
"name": [
"Rostov State University, ul. Zorge 7, 344090, Rostov-on-Don, Russia"
],
"type": "Organization"
},
"familyName": "Dymnikova",
"givenName": "O. V.",
"id": "sg:person.011004625515.53",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011004625515.53"
],
"type": "Person"
}
],
"datePublished": "2004-07",
"datePublishedReg": "2004-07-01",
"description": "The effect of mixtures of surfactants with variable number and concentration of components belonging to different reaction series (RS) on the metal electrodeposition potentials and currents was interpreted by using linear Gibbs energy relations (LGERs). The consideration is supported by the example of copper electrodeposition in the presence of mixtures of three\u2013five surfactants, which are the compounds of three RS.",
"genre": "article",
"id": "sg:pub.10.1023/b:prom.0000036951.19276.22",
"inLanguage": "en",
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1136666",
"issn": [
"0033-1732",
"1608-327X"
],
"name": "Protection of Metals and Physical Chemistry of Surfaces",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "4",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "40"
}
],
"keywords": [
"Linear Gibbs Energy Relation",
"reaction series",
"electrodeposition of metals",
"Gibbs energy relation",
"concentrations of components",
"electrodeposition potential",
"presence of mixtures",
"surfactant mixtures",
"copper electrodeposition",
"surfactants",
"electrodeposition",
"mixture",
"effects of mixtures",
"compounds",
"energy relations",
"metals",
"concentration",
"series",
"presence",
"potential",
"components",
"current",
"effect",
"example",
"variable number",
"number",
"consideration",
"relation"
],
"name": "Electrodeposition of Metals in the Presence of Surfactant Mixtures of Several Reaction Series with Variable Number and Concentration of Components",
"pagination": "320-325",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1047385141"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1023/b:prom.0000036951.19276.22"
]
}
],
"sameAs": [
"https://doi.org/10.1023/b:prom.0000036951.19276.22",
"https://app.dimensions.ai/details/publication/pub.1047385141"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-20T07:22",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_380.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1023/b:prom.0000036951.19276.22"
}
]
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.10.1023/b:prom.0000036951.19276.22'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1023/b:prom.0000036951.19276.22'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1023/b:prom.0000036951.19276.22'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1023/b:prom.0000036951.19276.22'
This table displays all metadata directly associated to this object as RDF triples.
100 TRIPLES
21 PREDICATES
54 URIs
46 LITERALS
6 BLANK NODES