{"id":"https://openalex.org/W3093493093","doi":"https://doi.org/10.1109/icccnt49239.2020.9225447","title":"Featureless approach for predicting Critical Temperature of Superconductors","display_name":"Featureless approach for predicting Critical Temperature of Superconductors","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3093493093","doi":"https://doi.org/10.1109/icccnt49239.2020.9225447","mag":"3093493093"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt49239.2020.9225447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt49239.2020.9225447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027878968","display_name":"Madhava Gaikwad","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Madhava Gaikwad","raw_affiliation_strings":["Cisco Systems, Bengaluru, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cisco Systems, Bengaluru, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022395708","display_name":"Ashwini R Doke","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ashwini R Doke","raw_affiliation_strings":["Institute Of Technology, Bengaluru, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute Of Technology, Bengaluru, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027878968"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2443,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.46846289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"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/T11948","display_name":"Machine Learning in Materials Science","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12285","display_name":"Surface Chemistry and Catalysis","score":0.945900022983551,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/superconductivity","display_name":"Superconductivity","score":0.8338622450828552},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5501733422279358},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.535273015499115},{"id":"https://openalex.org/keywords/high-temperature-superconductivity","display_name":"High-temperature superconductivity","score":0.5028976798057556},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.49729588627815247},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43857431411743164},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.43112337589263916},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.42558354139328003},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.41080546379089355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3926602005958557},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3672561049461365},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3359730839729309},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33231043815612793},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.3281313180923462},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32114434242248535},{"id":"https://openalex.org/keywords/condensed-matter-physics","display_name":"Condensed matter physics","score":0.31084269285202026}],"concepts":[{"id":"https://openalex.org/C54101563","wikidata":"https://www.wikidata.org/wiki/Q124131","display_name":"Superconductivity","level":2,"score":0.8338622450828552},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5501733422279358},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.535273015499115},{"id":"https://openalex.org/C109613756","wikidata":"https://www.wikidata.org/wiki/Q846667","display_name":"High-temperature superconductivity","level":3,"score":0.5028976798057556},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.49729588627815247},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43857431411743164},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.43112337589263916},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.42558354139328003},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.41080546379089355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3926602005958557},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3672561049461365},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3359730839729309},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33231043815612793},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3281313180923462},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32114434242248535},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.31084269285202026},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt49239.2020.9225447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt49239.2020.9225447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2284814435","https://openalex.org/W2318452386","https://openalex.org/W2469732900","https://openalex.org/W2751488329","https://openalex.org/W2768035349","https://openalex.org/W2889393096","https://openalex.org/W2929612105","https://openalex.org/W2947210186","https://openalex.org/W2963798770","https://openalex.org/W3002824621","https://openalex.org/W3005497310","https://openalex.org/W3098905070","https://openalex.org/W6720257245"],"related_works":["https://openalex.org/W190131043","https://openalex.org/W1661377881","https://openalex.org/W3114584613","https://openalex.org/W2791670411","https://openalex.org/W2142226786","https://openalex.org/W4254658270","https://openalex.org/W3028339366","https://openalex.org/W2040097514","https://openalex.org/W3206300071","https://openalex.org/W3081644756"],"abstract_inverted_index":{"Superconductive":[0],"materials":[1,26],"holds":[2],"key":[3],"for":[4,73],"fully":[5],"functional":[6],"extreme":[7],"ultra":[8],"reliable":[9],"low":[10],"latency":[11],"communication.":[12],"The":[13],"cost":[14],"effectiveness":[15],"of":[16,47,88,100,109],"latter":[17],"technology":[18],"depends":[19],"upon":[20],"ability":[21],"to":[22,43],"create":[23],"and":[24,69,81],"manufacture":[25],"exhibiting":[27],"superconductivity":[28],"at":[29],"high":[30],"temperature.":[31],"In":[32],"this":[33],"paper":[34],"we":[35],"estimate":[36],"a":[37],"data":[38],"driven":[39],"machine":[40,90],"learning":[41,91],"approach":[42,76,84,103],"predict":[44],"critical":[45,107],"temperature":[46,108],"superconductor":[48,110,119],"without":[49],"extracting":[50],"the":[51,86,106],"feature":[52],"from":[53,66],"superconductors":[54],"chemical":[55,98],"formula.":[56],"Yet":[57],"All":[58],"other":[59],"research":[60],"is":[61,77,118],"focusing":[62],"on":[63,94],"generating":[64],"features":[65],"molecular":[67],"formula":[68],"then":[70],"using":[71],"them":[72],"prediction.":[74],"our":[75],"unique,":[78],"straightforward,":[79],"featureless":[80],"simple.":[82],"Our":[83],"demonstrates":[85],"accuracy":[87],"different":[89],"algorithms":[92],"applied":[93],"dataset":[95],"which":[96],"contains":[97],"formulas":[99],"superconductor.":[101],"This":[102],"only":[104],"predicts":[105],"it":[111],"will":[112],"not":[113],"give":[114],"information":[115],"about":[116],"material":[117],"or":[120],"not.":[121],"We":[122],"have":[123],"provided":[124],"source":[125],"code":[126],"so":[127],"further":[128],"experiments":[129],"can":[130],"be":[131],"carried":[132],"out.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2025-10-10T00:00:00"}