{"id":"https://openalex.org/W2972697502","doi":"https://doi.org/10.1002/aisy.201900132","title":"Knowledge Discovery in Nanophotonics Using Geometric Deep Learning","display_name":"Knowledge Discovery in Nanophotonics Using Geometric Deep Learning","publication_year":2019,"publication_date":"2019-12-05","ids":{"openalex":"https://openalex.org/W2972697502","doi":"https://doi.org/10.1002/aisy.201900132","mag":"2972697502"},"language":"en","primary_location":{"id":"doi:10.1002/aisy.201900132","is_oa":true,"landing_page_url":"https://doi.org/10.1002/aisy.201900132","pdf_url":null,"source":{"id":"https://openalex.org/S4210212817","display_name":"Advanced Intelligent Systems","issn_l":"2640-4567","issn":["2640-4567"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1002/aisy.201900132","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yashar Kiarashinejad","orcid":"https://orcid.org/0000-0003-2805-2198"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yashar Kiarashinejad","raw_affiliation_strings":["Georgia Institute of Technology  778 Atlantic Drive NW Atlanta GA 30332 USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology  778 Atlantic Drive NW Atlanta GA 30332 USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mohammadreza Zandehshahvar","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammadreza Zandehshahvar","raw_affiliation_strings":["Georgia Institute of Technology  778 Atlantic Drive NW Atlanta GA 30332 USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology  778 Atlantic Drive NW Atlanta GA 30332 USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Sajjad Abdollahramezani","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sajjad Abdollahramezani","raw_affiliation_strings":["Georgia Institute of Technology  778 Atlantic Drive NW Atlanta GA 30332 USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology  778 Atlantic Drive NW Atlanta GA 30332 USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Omid Hemmatyar","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Omid Hemmatyar","raw_affiliation_strings":["Georgia Institute of Technology  778 Atlantic Drive NW Atlanta GA 30332 USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology  778 Atlantic Drive NW Atlanta GA 30332 USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Reza Pourabolghasem","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Reza Pourabolghasem","raw_affiliation_strings":["Georgia Institute of Technology  778 Atlantic Drive NW Atlanta GA 30332 USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology  778 Atlantic Drive NW Atlanta GA 30332 USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ali Adibi","orcid":"https://orcid.org/0000-0003-2628-0584"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ali Adibi","raw_affiliation_strings":["Georgia Institute of Technology  778 Atlantic Drive NW Atlanta GA 30332 USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology  778 Atlantic Drive NW Atlanta GA 30332 USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":{"value":2750,"currency":"USD","value_usd":2750},"apc_paid":{"value":2750,"currency":"USD","value_usd":2750},"fwci":3.9185,"has_fulltext":false,"cited_by_count":96,"citation_normalized_percentile":{"value":0.94890417,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"2","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10245","display_name":"Metamaterials and Metasurfaces Applications","score":0.879800021648407,"subfield":{"id":"https://openalex.org/subfields/2504","display_name":"Electronic, Optical and Magnetic Materials"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10245","display_name":"Metamaterials and Metasurfaces Applications","score":0.879800021648407,"subfield":{"id":"https://openalex.org/subfields/2504","display_name":"Electronic, Optical and Magnetic Materials"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10295","display_name":"Plasmonic and Surface Plasmon Research","score":0.07639999687671661,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.006099999882280827,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.63919997215271},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.47929999232292175},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.45329999923706055},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4424999952316284},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4207000136375427},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.39750000834465027},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.3946000039577484},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.39340001344680786},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3736000061035156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6572999954223633},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.63919997215271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6140999794006348},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.47929999232292175},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.45329999923706055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4472000002861023},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4424999952316284},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4207000136375427},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.39750000834465027},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.3946000039577484},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.39340001344680786},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3736000061035156},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.3686999976634979},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.35740000009536743},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3375999927520752},{"id":"https://openalex.org/C2909720056","wikidata":"https://www.wikidata.org/wiki/Q11406","display_name":"Electromagnetics","level":2,"score":0.3319000005722046},{"id":"https://openalex.org/C110879396","wikidata":"https://www.wikidata.org/wiki/Q58392","display_name":"Plasmon","level":2,"score":0.3163999915122986},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.31200000643730164},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3095000088214874},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.2939999997615814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C187107819","wikidata":"https://www.wikidata.org/wiki/Q835696","display_name":"NASA Deep Space Network","level":3,"score":0.27129998803138733},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.2685000002384186}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1002/aisy.201900132","is_oa":true,"landing_page_url":"https://doi.org/10.1002/aisy.201900132","pdf_url":null,"source":{"id":"https://openalex.org/S4210212817","display_name":"Advanced Intelligent Systems","issn_l":"2640-4567","issn":["2640-4567"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1909.07330","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1909.07330","pdf_url":"https://arxiv.org/pdf/1909.07330","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:5df577fa933e4462a307ffb2f91d0eb1","is_oa":true,"landing_page_url":"https://doaj.org/article/5df577fa933e4462a307ffb2f91d0eb1","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Advanced Intelligent Systems, Vol 2, Iss 2, Pp n/a-n/a (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1002/aisy.201900132","is_oa":true,"landing_page_url":"https://doi.org/10.1002/aisy.201900132","pdf_url":null,"source":{"id":"https://openalex.org/S4210212817","display_name":"Advanced Intelligent Systems","issn_l":"2640-4567","issn":["2640-4567"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1604817345","https://openalex.org/W1869061657","https://openalex.org/W2058208824","https://openalex.org/W2100495367","https://openalex.org/W2135105223","https://openalex.org/W2153504150","https://openalex.org/W2157305458","https://openalex.org/W2161456897","https://openalex.org/W2235488713","https://openalex.org/W2293149760","https://openalex.org/W2335004802","https://openalex.org/W2398126198","https://openalex.org/W2491528461","https://openalex.org/W2571907177","https://openalex.org/W2615446936","https://openalex.org/W2642872004","https://openalex.org/W2749793803","https://openalex.org/W2752849906","https://openalex.org/W2753486779","https://openalex.org/W2785931806","https://openalex.org/W2803281408","https://openalex.org/W2806536390","https://openalex.org/W2898302581","https://openalex.org/W2898720299","https://openalex.org/W2914274640","https://openalex.org/W2916134072","https://openalex.org/W2920876745","https://openalex.org/W2925047271","https://openalex.org/W2937816906","https://openalex.org/W2944347353","https://openalex.org/W2950433265","https://openalex.org/W2963748309","https://openalex.org/W2964155064","https://openalex.org/W2967929127","https://openalex.org/W2969080305","https://openalex.org/W2974878544","https://openalex.org/W2979544602","https://openalex.org/W2989226760","https://openalex.org/W4250589301"],"related_works":[],"abstract_inverted_index":{"Herein,":[0],"a":[1,36,59,63,120,123],"new":[2],"approach":[3,26,74,194],"for":[4,12,195],"using":[5],"the":[6,48,56,70,76,89,92,96,101,106,115,134,150,189],"intelligence":[7,11],"aspects":[8],"of":[9,35,38,50,58,65,91,100,117,119,152,162,170,180,192],"artificial":[10],"knowledge":[13,71,196],"discovery":[14,197],"rather":[15],"than":[16],"device":[17],"optimization":[18],"in":[19,95,198],"electromagnetic":[20],"(EM)":[21],"nanostructures":[22,39],"is":[23,156],"presented.":[24],"This":[25,126],"uses":[27],"training":[28],"data":[29],"obtained":[30],"through":[31],"full\u2010wave":[32],"EM":[33,66,102,199],"simulations":[34],"series":[37],"to":[40,46,87,113,132,137,158],"train":[41],"geometric":[42],"deep":[43],"learning":[44],"algorithms":[45,86],"assess":[47],"range":[49,90],"feasible":[51,93],"responses":[52,94],"as":[53,55],"well":[54],"feasibility":[57,118],"desired":[60],"response":[61,98,121],"from":[62,122],"class":[64],"nanostructures.":[67,200],"To":[68,148],"facilitate":[69],"discovery,":[72],"this":[73,153,193],"combines":[75],"dimensionality":[77],"reduction":[78],"technique":[79],"with":[80],"convex\u2010hull":[81],"and":[82,173,185],"one\u2010class":[83,107],"support\u2010vector\u2010machine":[84],"(SVM)":[85],"find":[88],"latent":[97],"space":[99],"nanostructure.":[103,125],"More":[104],"importantly,":[105],"SVM":[108],"algorithm":[109],"can":[110,129,142],"be":[111,130],"trained":[112],"provide":[114],"degree":[116],"given":[124],"important":[127,160],"information":[128],"used":[131],"modify":[133],"initial":[135],"structure":[136],"an":[138,144,168,178],"alternative":[139],"one":[140],"that":[141],"enable":[143],"initially":[145],"unfeasible":[146],"response.":[147],"show":[149],"applicability":[151],"approach,":[154],"it":[155],"applied":[157],"two":[159],"classes":[161],"binary":[163],"metasurfaces":[164],"(MSs),":[165],"formed":[166,176],"by":[167,177],"array":[169,179],"plasmonic":[171],"nanostructures,":[172],"periodic":[174],"MSs":[175],"dielectric":[181],"nanopillars.":[182],"These":[183],"theoretical":[184],"experimental":[186],"results":[187],"confirm":[188],"unique":[190],"features":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":25},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2019-09-19T00:00:00"}
