Ontology type: schema:ScholarlyArticle
2009-11
AUTHORSA. V. Deinega, I. V. Konistyapina, M. V. Bogdanova, I. A. Valuev, Yu. E. Lozovik, B. V. Potapkin
ABSTRACTThe optical properties of textured surfaces of silicon solar cells are investigated by computer modeling. In calculations, the finite difference time-domain (FDTD) method is used to solve the Maxwell equations. Optimal sizes and shape of the textured surface are determined for which the reflection coefficient reaches its minimum. A comparison with the experimental data available from the literature is performed. More... »
PAGES1128-1134
http://scigraph.springernature.com/pub.10.1007/s11182-010-9350-0
DOIhttp://dx.doi.org/10.1007/s11182-010-9350-0
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1029854376
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/2008/0306",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Physical Chemistry (incl. Structural)",
"type": "DefinedTerm"
},
{
"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": {
"name": [
"Kintech Lab Ltd, Moscow, Russia"
],
"type": "Organization"
},
"familyName": "Deinega",
"givenName": "A. V.",
"id": "sg:person.0740567577.31",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0740567577.31"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Kintech Lab Ltd, Moscow, Russia"
],
"type": "Organization"
},
"familyName": "Konistyapina",
"givenName": "I. V.",
"type": "Person"
},
{
"affiliation": {
"name": [
"Kintech Lab Ltd, Moscow, Russia"
],
"type": "Organization"
},
"familyName": "Bogdanova",
"givenName": "M. V.",
"id": "sg:person.015036334773.06",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015036334773.06"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Joint Institute for High Temperatures",
"id": "https://www.grid.ac/institutes/grid.435259.c",
"name": [
"Joint Institute for High Temperatures of the Russian Academy of Sciences, Moscow, Russia"
],
"type": "Organization"
},
"familyName": "Valuev",
"givenName": "I. A.",
"id": "sg:person.0611147461.16",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0611147461.16"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Institute of Spectroscopy",
"id": "https://www.grid.ac/institutes/grid.465320.6",
"name": [
"Kintech Lab Ltd, Moscow, Russia",
"Institute for Spectroscopy of the Russian Academy of Sciences, Troitsk, Moscow Region, Russia"
],
"type": "Organization"
},
"familyName": "Lozovik",
"givenName": "Yu. E.",
"id": "sg:person.013154233361.60",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013154233361.60"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Kurchatov Institute",
"id": "https://www.grid.ac/institutes/grid.18919.38",
"name": [
"Kintech Lab Ltd, Moscow, Russia",
"Russian Science Center Kurchatov Institute, Moscow, Russia"
],
"type": "Organization"
},
"familyName": "Potapkin",
"givenName": "B. V.",
"id": "sg:person.01337103144.40",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01337103144.40"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1088/0957-4484/8/2/002",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013971346"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nnano.2007.389",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021287768",
"https://doi.org/10.1038/nnano.2007.389"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/pip.4670030303",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043730295"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1063/1.1514832",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1057714994"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/02726340151134380",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058314807"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tap.1964.1138304",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061489741"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1116/1.1619958",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062168976"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1364/ol.24.001422",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1065218805"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1364/ol.31.002972",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1065224293"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1364/ol.32.003429",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1065225613"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1364/ol.33.001491",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1065226168"
],
"type": "CreativeWork"
}
],
"datePublished": "2009-11",
"datePublishedReg": "2009-11-01",
"description": "The optical properties of textured surfaces of silicon solar cells are investigated by computer modeling. In calculations, the finite difference time-domain (FDTD) method is used to solve the Maxwell equations. Optimal sizes and shape of the textured surface are determined for which the reflection coefficient reaches its minimum. A comparison with the experimental data available from the literature is performed.",
"genre": "research_article",
"id": "sg:pub.10.1007/s11182-010-9350-0",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1313824",
"issn": [
"1064-8887",
"1573-9228"
],
"name": "Russian Physics Journal",
"type": "Periodical"
},
{
"issueNumber": "11",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "52"
}
],
"name": "Optimization of an anti-reflective layer of solar panels based on ab initio calculations",
"pagination": "1128-1134",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"8e3932672333f3dd704a83009f994df97c514286a6fd4d0ca36137511ccc3807"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s11182-010-9350-0"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1029854376"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s11182-010-9350-0",
"https://app.dimensions.ai/details/publication/pub.1029854376"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T10:21",
"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/v90/0000000348_0000000348/records_54338_00000000.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007%2Fs11182-010-9350-0"
}
]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/s11182-010-9350-0'
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/s11182-010-9350-0'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11182-010-9350-0'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11182-010-9350-0'
This table displays all metadata directly associated to this object as RDF triples.
143 TRIPLES
21 PREDICATES
38 URIs
19 LITERALS
7 BLANK NODES