{"id":"https://openalex.org/W3161223230","doi":"https://doi.org/10.1109/access.2021.3079583","title":"A Numerical Exploration of Signal Detector Arrangement in a Spin-Wave Reservoir Computing Device","display_name":"A Numerical Exploration of Signal Detector Arrangement in a Spin-Wave Reservoir Computing Device","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3161223230","doi":"https://doi.org/10.1109/access.2021.3079583","mag":"3161223230"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3079583","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3079583","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09429209.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09429209.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018835889","display_name":"Takehiro Ichimura","orcid":"https://orcid.org/0000-0001-6204-4883"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takehiro Ichimura","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0001-6204-4883","affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085544355","display_name":"Ryosho Nakane","orcid":"https://orcid.org/0000-0002-9059-9349"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryosho Nakane","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-9059-9349","affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025420478","display_name":"Gouhei Tanaka","orcid":"https://orcid.org/0000-0002-6223-4406"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Gouhei Tanaka","raw_affiliation_strings":["International Research Center for Neurointelligence, The University of Tokyo, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-6223-4406","affiliations":[{"raw_affiliation_string":"International Research Center for Neurointelligence, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075783559","display_name":"Akira Hirose","orcid":"https://orcid.org/0000-0002-6936-9733"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Hirose","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-6936-9733","affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.8662,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.92012309,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"72637","last_page":"72646"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9961000084877014,"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"}},{"id":"https://openalex.org/T10232","display_name":"Optical Network Technologies","score":0.9710000157356262,"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/detector","display_name":"Detector","score":0.6720677614212036},{"id":"https://openalex.org/keywords/reservoir-computing","display_name":"Reservoir computing","score":0.5454155206680298},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5296703577041626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5194444060325623},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.45600804686546326},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15874356031417847},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.10103130340576172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08129006624221802},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.07712069153785706},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.0716249942779541}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6720677614212036},{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.5454155206680298},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5296703577041626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5194444060325623},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.45600804686546326},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15874356031417847},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.10103130340576172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08129006624221802},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.07712069153785706},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0716249942779541},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2021.3079583","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3079583","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09429209.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2104.14915","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.14915","pdf_url":"https://arxiv.org/pdf/2104.14915","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:498480012cd14841be1e612156518b2e","is_oa":true,"landing_page_url":"https://doaj.org/article/498480012cd14841be1e612156518b2e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 72637-72646 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3079583","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3079583","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09429209.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2280667928","display_name":null,"funder_award_id":"JPNP16007","funder_id":"https://openalex.org/F4320321034","funder_display_name":"New Energy and Industrial Technology Development Organization"},{"id":"https://openalex.org/G439518252","display_name":"Construction of the engineering framework of phasor quaternion neural networks in adaptive electromagnetic-wave information processing","funder_award_id":"18H04105","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320321034","display_name":"New Energy and Industrial Technology Development Organization","ror":"https://ror.org/0055k7a87"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320335153","display_name":"Research Institute of Electrical Communication, Tohoku University","ror":"https://ror.org/01dq60k83"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3161223230.pdf","grobid_xml":"https://content.openalex.org/works/W3161223230.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W2036451492","https://openalex.org/W2103179919","https://openalex.org/W2142805504","https://openalex.org/W2171865010","https://openalex.org/W2245183551","https://openalex.org/W2300660230","https://openalex.org/W2334954491","https://openalex.org/W2477283215","https://openalex.org/W2584998015","https://openalex.org/W2613833839","https://openalex.org/W2635159431","https://openalex.org/W2789326804","https://openalex.org/W2887258823","https://openalex.org/W2912553567","https://openalex.org/W2941835423","https://openalex.org/W2961524461","https://openalex.org/W3090632285","https://openalex.org/W3103938799","https://openalex.org/W4233348479","https://openalex.org/W6740001062","https://openalex.org/W6784040798"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3192662224","https://openalex.org/W2998821156","https://openalex.org/W4389072666","https://openalex.org/W2887258823","https://openalex.org/W4300888463","https://openalex.org/W2043302357","https://openalex.org/W2359093779"],"abstract_inverted_index":{"This":[0,24,60],"paper":[1],"studies":[2],"numerically":[3],"how":[4],"the":[5,10,30,41,49,53,87,126,130,136,141,158,163,166,196,223,227,263],"signal":[6],"detector":[7],"arrangement":[8],"influences":[9],"performance":[11],"of":[12,86,129,140,165,182,186,208,254],"reservoir":[13,88,111,256],"computing":[14,261],"using":[15],"spin":[16,42,71,99,197],"waves":[17,43,50,72,198],"excited":[18],"in":[19,52,55,73,90,213,242,262],"a":[20,56,64,74,104,121,172,243],"ferrimagnetic":[21],"garnet":[22,76],"film.":[23],"investigation":[25],"is":[26,33,176,218],"essentially":[27],"important":[28],"since":[29],"input":[31,80,93,239],"information":[32,46,217],"not":[34],"only":[35,179],"conveyed":[36],"but":[37],"also":[38],"transformed":[39],"by":[40,144,161,221],"into":[44],"high-dimensional":[45],"space":[47],"when":[48],"propagate":[51],"film":[54,77],"spatially":[57],"distributed":[58,219],"manner.":[59],"spatiotemporal":[61],"dynamics":[62,204],"realizes":[63],"rich":[65,203],"reservoir-computational":[66],"functionality.":[67],"First,":[68],"we":[69,211,230],"simulate":[70],"rectangular":[75],"with":[78,178],"two":[79],"electrodes":[81,143,184,224],"to":[82,92,119,134,251],"obtain":[83],"spatial":[84,127],"distributions":[85],"states":[89,112],"response":[91],"signals,":[94],"which":[95,214],"are":[96,113],"represented":[97],"as":[98],"vectors":[100],"and":[101,138,169,202],"used":[102],"for":[103,205,238,258],"machine-learning":[105],"waveform":[106],"classification":[107,159],"task.":[108],"The":[109],"detected":[110],"combined":[114],"through":[115],"readout":[116],"connection":[117],"weights":[118,131],"generate":[120],"final":[122],"output.":[123],"We":[124,156],"visualize":[125],"distribution":[128],"after":[132],"training":[133],"discuss":[135],"number":[137,164],"positions":[139],"output":[142,167,183],"arranging":[145,222],"them":[146],"at":[147,154],"grid":[148],"points,":[149],"equiangularly":[150],"circular":[151,188],"points":[152],"or":[153,189],"random.":[155],"evaluate":[157],"accuracy":[160,174],"changing":[162],"electrodes,":[168],"find":[170],"that":[171,195,232],"high":[173],"(>90%)":[175],"achieved":[177],"several":[180],"tens":[181],"regardless":[185],"grid,":[187],"random":[190],"arrangement.":[191],"These":[192,247],"results":[193,248],"suggest":[194],"possess":[199],"sufficiently":[200],"complex":[201],"this":[206,233],"type":[207],"tasks.":[209],"Then":[210],"investigate":[212],"area":[215],"useful":[216],"more":[220],"locally":[225],"on":[226],"chip.":[228],"Finally,":[229],"show":[231],"device":[234],"has":[235],"generalization":[236],"ability":[237],"wave-signal":[240],"frequency":[241,245],"certain":[244],"range.":[246],"will":[249],"lead":[250],"practical":[252],"design":[253],"spin-wave":[255],"devices":[257],"low-power":[259],"intelligent":[260],"near":[264],"future.":[265]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-05-24T00:00:00"}