Ontology type: schema:ScholarlyArticle
1995-09
AUTHORSK. M. Ho, Jinming Dong, Z. D. Wang
ABSTRACTAn algorithm is developed to simulate the AC responses of the flux motion in high-Tc superconductors. To establish the reliability and effectiveness of this method, it is first employed to study the complex resistivity and compare it with some analytical results. The simulation results are found to be consistent with analytical calculations. Then, the method is applied to study an real experimental situation using the single flux motion model with regular pinning potential. It is found that, despite the simplicity of the model, our numerical results are actually in agreement with the experimental results qualitatively. More... »
PAGES409-412
http://scigraph.springernature.com/pub.10.1007/bf01317223
DOIhttp://dx.doi.org/10.1007/bf01317223
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1027040913
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/2008/1701",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Psychology",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Psychology and Cognitive Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "University of Hong Kong",
"id": "https://www.grid.ac/institutes/grid.194645.b",
"name": [
"Department of Physics, University of Hong Kong, Pokfulam Road, Hong Kong"
],
"type": "Organization"
},
"familyName": "Ho",
"givenName": "K. M.",
"id": "sg:person.015107625147.89",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015107625147.89"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Science and Technology of China",
"id": "https://www.grid.ac/institutes/grid.59053.3a",
"name": [
"Department of Physics, Nanjing University, 210008, Nanjing, People's Republic of China",
"Structure Research Laboratory, University of Science and Technology of China, 230026, Hefe, People's Republic of China"
],
"type": "Organization"
},
"familyName": "Dong",
"givenName": "Jinming",
"id": "sg:person.010330667505.82",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010330667505.82"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Hong Kong",
"id": "https://www.grid.ac/institutes/grid.194645.b",
"name": [
"Department of Physics, University of Hong Kong, Pokfulam Road, Hong Kong"
],
"type": "Organization"
},
"familyName": "Wang",
"givenName": "Z. D.",
"id": "sg:person.011374710011.80",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011374710011.80"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1016/s0921-4526(09)80167-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028286788"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1088/0953-8984/5/20/009",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047104832"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevb.17.1302",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060523418"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevb.17.1302",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060523418"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevb.39.9587",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060550323"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevb.39.9587",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060550323"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevb.41.6621",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060554124"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevb.41.6621",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060554124"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevb.45.7495",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060562036"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevb.45.7495",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060562036"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevb.50.13756",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060572841"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevb.50.13756",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060572841"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevlett.16.734",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060768944"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevlett.16.734",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060768944"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevlett.61.1658",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060797684"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevlett.61.1658",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060797684"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevlett.62.1415",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060798480"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevlett.62.1415",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060798480"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevlett.67.386",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060803831"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevlett.67.386",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060803831"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevlett.71.2642",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060807805"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevlett.71.2642",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060807805"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevlett.72.3875",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060809212"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevlett.72.3875",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060809212"
],
"type": "CreativeWork"
}
],
"datePublished": "1995-09",
"datePublishedReg": "1995-09-01",
"description": "An algorithm is developed to simulate the AC responses of the flux motion in high-Tc superconductors. To establish the reliability and effectiveness of this method, it is first employed to study the complex resistivity and compare it with some analytical results. The simulation results are found to be consistent with analytical calculations. Then, the method is applied to study an real experimental situation using the single flux motion model with regular pinning potential. It is found that, despite the simplicity of the model, our numerical results are actually in agreement with the experimental results qualitatively.",
"genre": "research_article",
"id": "sg:pub.10.1007/bf01317223",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1285002",
"issn": [
"0722-3277",
"1431-584X"
],
"name": "Zeitschrift f\u00fcr Physik B Condensed Matter",
"type": "Periodical"
},
{
"issueNumber": "3",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "97"
}
],
"name": "Numerical simulations on the AC response of flux motion in high-Tc superconductors",
"pagination": "409-412",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"80d12ab2e1ebe95d8999a80e3b9d03784d3199248ebd5567f9670bdbf6e7c133"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/bf01317223"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1027040913"
]
}
],
"sameAs": [
"https://doi.org/10.1007/bf01317223",
"https://app.dimensions.ai/details/publication/pub.1027040913"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T13:28",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000370_0000000370/records_46744_00000001.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007/BF01317223"
}
]
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/bf01317223'
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/bf01317223'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf01317223'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf01317223'
This table displays all metadata directly associated to this object as RDF triples.
118 TRIPLES
21 PREDICATES
40 URIs
19 LITERALS
7 BLANK NODES