{"id":"https://openalex.org/W6945069202","doi":"https://doi.org/10.21227/h9ba-sf59","title":"Physical parameter-based S parameters","display_name":"Physical parameter-based S parameters","publication_year":2020,"publication_date":"2020-12-24","ids":{"openalex":"https://openalex.org/W6945069202","doi":"https://doi.org/10.21227/h9ba-sf59"},"language":"en","primary_location":{"id":"doi:10.21227/h9ba-sf59","is_oa":true,"landing_page_url":"https://doi.org/10.21227/h9ba-sf59","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/h9ba-sf59","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Sat\u0131lm\u0131\u015f, G\u00f6khan","orcid":"https://orcid.org/0000-0002-8188-7242"},"institutions":[{"id":"https://openalex.org/I140912994","display_name":"Mu\u015f Alparslan University","ror":"https://ror.org/009axq942","country_code":"TR","type":"education","lineage":["https://openalex.org/I140912994"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Sat\u0131lm\u0131\u015f, G\u00f6khan","raw_affiliation_strings":["Mus Alparslan University"],"raw_orcid":"https://orcid.org/0000-0002-8188-7242","affiliations":[{"raw_affiliation_string":"Mus Alparslan University","institution_ids":["https://openalex.org/I140912994"]}]},{"author_position":"middle","author":{"id":null,"display_name":"G\u00fcne\u015f, Filiz","orcid":null},"institutions":[{"id":"https://openalex.org/I4101805","display_name":"Y\u0131ld\u0131z Technical University","ror":"https://ror.org/0547yzj13","country_code":"TR","type":"education","lineage":["https://openalex.org/I4101805"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"G\u00fcne\u015f, Filiz","raw_affiliation_strings":["Y\u0131ld\u0131z Technical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Y\u0131ld\u0131z Technical University","institution_ids":["https://openalex.org/I4101805"]}]},{"author_position":"last","author":{"id":null,"display_name":"Mahouti, Peyman","orcid":"https://orcid.org/0000-0002-3351-4433"},"institutions":[{"id":"https://openalex.org/I4210112471","display_name":"Istanbul University-Cerrahpa\u015fa","ror":"https://ror.org/01dzn5f42","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210112471"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mahouti, Peyman","raw_affiliation_strings":["Istanbul-Cerrahpasa University"],"raw_orcid":"https://orcid.org/0000-0002-3351-4433","affiliations":[{"raw_affiliation_string":"Istanbul-Cerrahpasa University","institution_ids":["https://openalex.org/I4210112471"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/mesfet","display_name":"MESFET","score":0.6748999953269958},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5406000018119812},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5059000253677368},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.48840001225471497},{"id":"https://openalex.org/keywords/equivalent-circuit","display_name":"Equivalent circuit","score":0.4099999964237213},{"id":"https://openalex.org/keywords/electronic-circuit-simulation","display_name":"Electronic circuit simulation","score":0.40939998626708984},{"id":"https://openalex.org/keywords/transistor","display_name":"Transistor","score":0.3797999918460846},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.3718000054359436},{"id":"https://openalex.org/keywords/symbolic-regression","display_name":"Symbolic regression","score":0.3634999990463257}],"concepts":[{"id":"https://openalex.org/C134123091","wikidata":"https://www.wikidata.org/wiki/Q1837339","display_name":"MESFET","level":5,"score":0.6748999953269958},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5406000018119812},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5059000253677368},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.48840001225471497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46000000834465027},{"id":"https://openalex.org/C23572009","wikidata":"https://www.wikidata.org/wiki/Q964981","display_name":"Equivalent circuit","level":3,"score":0.4099999964237213},{"id":"https://openalex.org/C46205389","wikidata":"https://www.wikidata.org/wiki/Q1270401","display_name":"Electronic circuit simulation","level":3,"score":0.40939998626708984},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.40560001134872437},{"id":"https://openalex.org/C172385210","wikidata":"https://www.wikidata.org/wiki/Q5339","display_name":"Transistor","level":3,"score":0.3797999918460846},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.3718000054359436},{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.3634999990463257},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35499998927116394},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.3465000092983246},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.3395000100135803},{"id":"https://openalex.org/C195266298","wikidata":"https://www.wikidata.org/wiki/Q2165620","display_name":"Scattering parameters","level":2,"score":0.3276999890804291},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.326200008392334},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C184389593","wikidata":"https://www.wikidata.org/wiki/Q603159","display_name":"Curve fitting","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C4775677","wikidata":"https://www.wikidata.org/wiki/Q7449393","display_name":"Semiconductor device modeling","level":3,"score":0.289000004529953},{"id":"https://openalex.org/C76969082","wikidata":"https://www.wikidata.org/wiki/Q486902","display_name":"Mathematical model","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2874999940395355},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.26989999413490295},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C131017901","wikidata":"https://www.wikidata.org/wiki/Q170451","display_name":"Logic gate","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2554999887943268},{"id":"https://openalex.org/C2780077345","wikidata":"https://www.wikidata.org/wiki/Q16891888","display_name":"Spice","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/h9ba-sf59","is_oa":true,"landing_page_url":"https://doi.org/10.21227/h9ba-sf59","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.21227/h9ba-sf59","is_oa":true,"landing_page_url":"https://doi.org/10.21227/h9ba-sf59","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1,33],"work,":[2],"physical":[3,49],"parameter\u2010based":[4],"modeling":[5],"of":[6,23,46,98,104,117,137,163,182],"small":[7,179],"signal":[8,180],"parameters":[9,51,108,181],"for":[10,82,157,190,199],"a":[11,35,43,84],"metal\u2010semiconductor":[12],"field\u2010effect":[13],"transistor":[14],"(MESFET)":[15],"has":[16,38,91],"been":[17,39,80,92,126,146,167],"carried":[18],"out":[19],"as":[20],"continuous":[21],"functions":[22],"drain":[24],"voltage,":[25,27],"gate":[26,30,61,63],"frequency,":[28],"and":[29,57,65,77,101,121,141,188,194],"width.":[31],"For":[32],"purpose,":[34],"device":[36,50,132,151,193],"simulator":[37,133,152],"used":[40,81,93,175],"to":[41,94,128,149,176,186,196],"generate":[42],"big":[44],"dataset":[45],"which":[47],"the":[48,99,105,110,119,122,131,138,142,150,164,178,192],"included":[52],"material":[53],"type,":[54,60],"doping":[55],"concentration":[56],"profile,":[58],"contact":[59],"length,":[62],"width,":[64],"work":[66],"function.":[67],"Five":[68],"state\u2010of\u2010the\u2010art":[69],"algorithms:":[70],"multi\u2010layer":[71],"perceptron":[72],"(MLP),":[73],"IBk,":[74],"K*,":[75],"Bagging,":[76],"REPTree":[78],"have":[79,125,145,166],"creating":[83],"regression":[85,89,115,124],"model.":[86],"The":[87,114,135,159,170],"symbolic":[88,123],"algorithm":[90],"obtain":[95],"analytical":[96],"expressions":[97],"real":[100],"imaginary":[102],"parts":[103],"Scattering":[106],"(S)":[107],"using":[109],"physics\u2010based":[111],"generated":[112],"dataset.":[113],"performances":[116],"all":[118],"benchmarks":[120],"compared":[127,148],"references":[129],"from":[130],"results.":[134],"results":[136],"derived":[139],"equations":[140],"best":[143],"algorithms":[144],"then":[147],"results,":[153],"with":[154],"case":[155],"studies":[156],"validation.":[158],"DC":[160],"performance":[161],"characteristics":[162],"MESFET":[165],"also":[168],"obtained.":[169],"proposed":[171],"model":[172],"can":[173],"be":[174,197],"predict":[177],"new":[183],"devices":[184],"prior":[185],"development,":[187],"allows":[189],"both":[191],"circuit":[195],"optimized":[198],"specific":[200],"applications.":[201]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}