Ontology type: schema:ScholarlyArticle
1981-10
AUTHORSE. A. Artyukhin
ABSTRACTWe consider the iteration algorithm for the solution of the nonlinear inverse problem of non-steady-state heat conduction.
PAGES1054-1058
http://scigraph.springernature.com/pub.10.1007/bf00824761
DOIhttp://dx.doi.org/10.1007/bf00824761
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1012634056
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",
"author": [
{
"familyName": "Artyukhin",
"givenName": "E. A.",
"type": "Person"
}
],
"datePublished": "1981-10",
"datePublishedReg": "1981-10-01",
"description": "We consider the iteration algorithm for the solution of the nonlinear inverse problem of non-steady-state heat conduction.",
"genre": "article",
"id": "sg:pub.10.1007/bf00824761",
"inLanguage": "en",
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1313809",
"issn": [
"1062-0125",
"1573-871X"
],
"name": "Journal of Engineering Physics and Thermophysics",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "4",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "41"
}
],
"keywords": [
"thermal conductivity coefficient",
"state heat conduction",
"heat conduction",
"conductivity coefficient",
"nonlinear inverse problem",
"inverse problem",
"iteration algorithm",
"solution",
"conduction",
"coefficient",
"problem",
"algorithm",
"reconstruction"
],
"name": "Reconstruction of the thermal conductivity coefficient from the solution of the nonlinear inverse problem",
"pagination": "1054-1058",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1012634056"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/bf00824761"
]
}
],
"sameAs": [
"https://doi.org/10.1007/bf00824761",
"https://app.dimensions.ai/details/publication/pub.1012634056"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-10T09:40",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/article/article_161.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/bf00824761"
}
]
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/bf00824761'
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/bf00824761'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00824761'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00824761'
This table displays all metadata directly associated to this object as RDF triples.
58 TRIPLES
20 PREDICATES
37 URIs
31 LITERALS
6 BLANK NODES