{"id":"https://openalex.org/W3004718366","doi":"https://doi.org/10.3390/sym12020262","title":"Critical Temperature Prediction of Superconductors Based on Atomic Vectors and Deep Learning","display_name":"Critical Temperature Prediction of Superconductors Based on Atomic Vectors and Deep Learning","publication_year":2020,"publication_date":"2020-02-08","ids":{"openalex":"https://openalex.org/W3004718366","doi":"https://doi.org/10.3390/sym12020262","mag":"3004718366"},"language":"en","primary_location":{"id":"doi:10.3390/sym12020262","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym12020262","pdf_url":"https://www.mdpi.com/2073-8994/12/2/262/pdf?version=1582972826","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/12/2/262/pdf?version=1582972826","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100354322","display_name":"Shaobo Li","orcid":"https://orcid.org/0000-0003-4759-6000"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaobo Li","raw_affiliation_strings":["School of Mechanical Engineering, Guizhou University, Guiyang 550025, China"],"raw_orcid":"https://orcid.org/0000-0003-4759-6000","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University, Guiyang 550025, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023767861","display_name":"Yabo Dan","orcid":"https://orcid.org/0000-0001-5180-7355"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yabo Dan","raw_affiliation_strings":["School of Mechanical Engineering, Guizhou University, Guiyang 550025, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University, Guiyang 550025, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100609609","display_name":"Li Xiang","orcid":"https://orcid.org/0000-0002-5418-826X"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["School of Mechanical Engineering, Guizhou University, Guiyang 550025, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University, Guiyang 550025, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102350001","display_name":"Tiantian Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiantian Hu","raw_affiliation_strings":["College of Computer Science and Technology, Guizhou University, Guiyang 550025, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Guizhou University, Guiyang 550025, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021569303","display_name":"Rongzhi Dong","orcid":"https://orcid.org/0000-0003-1467-6725"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongzhi Dong","raw_affiliation_strings":["School of Mechanical Engineering, Guizhou University, Guiyang 550025, China"],"raw_orcid":"https://orcid.org/0000-0003-1467-6725","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University, Guiyang 550025, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101963313","display_name":"Zhuo Cao","orcid":"https://orcid.org/0000-0002-5130-3939"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Cao","raw_affiliation_strings":["School of Mechanical Engineering, Guizhou University, Guiyang 550025, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University, Guiyang 550025, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060537711","display_name":"Jianjun Hu","orcid":"https://orcid.org/0000-0002-8725-6660"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]},{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Jianjun Hu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA","School of Mechanical Engineering, Guizhou University, Guiyang 550025, China"],"raw_orcid":"https://orcid.org/0000-0002-8725-6660","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA","institution_ids":["https://openalex.org/I155781252"]},{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University, Guiyang 550025, China","institution_ids":["https://openalex.org/I178232147"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023767861","https://openalex.org/A5060537711"],"corresponding_institution_ids":["https://openalex.org/I155781252","https://openalex.org/I178232147"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":1.7504,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.84126575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"12","issue":"2","first_page":"262","last_page":"262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9998999834060669,"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":0.9998999834060669,"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/T12613","display_name":"X-ray Diffraction in Crystallography","score":0.9983999729156494,"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/T11242","display_name":"Nuclear Materials and Properties","score":0.9847000241279602,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/superconductivity","display_name":"Superconductivity","score":0.7695989608764648},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.7657146453857422},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7271819114685059},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7024040818214417},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6559638977050781},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5793322920799255},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5767817497253418},{"id":"https://openalex.org/keywords/atom","display_name":"Atom (system on chip)","score":0.511938214302063},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4961715638637543},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48583075404167175},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.44360679388046265},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3933454155921936},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.3921058773994446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37679800391197205},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3245435059070587},{"id":"https://openalex.org/keywords/condensed-matter-physics","display_name":"Condensed matter physics","score":0.21499305963516235},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.09022104740142822}],"concepts":[{"id":"https://openalex.org/C54101563","wikidata":"https://www.wikidata.org/wiki/Q124131","display_name":"Superconductivity","level":2,"score":0.7695989608764648},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.7657146453857422},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7271819114685059},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7024040818214417},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6559638977050781},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5793322920799255},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5767817497253418},{"id":"https://openalex.org/C58312451","wikidata":"https://www.wikidata.org/wiki/Q4817200","display_name":"Atom (system on chip)","level":2,"score":0.511938214302063},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4961715638637543},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48583075404167175},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.44360679388046265},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3933454155921936},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3921058773994446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37679800391197205},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3245435059070587},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.21499305963516235},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.09022104740142822},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym12020262","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym12020262","pdf_url":"https://www.mdpi.com/2073-8994/12/2/262/pdf?version=1582972826","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:scholarcommons.sc.edu:csce_facpub-1305","is_oa":true,"landing_page_url":"https://scholarcommons.sc.edu/csce_facpub/289","pdf_url":null,"source":{"id":"https://openalex.org/S4306401386","display_name":"Scholar Commons (University of South Carolina)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I155781252","host_organization_name":"University of South Carolina","host_organization_lineage":["https://openalex.org/I155781252"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Publications","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:87266f0e36984fc6b5d5f1a5e8ceebd7","is_oa":true,"landing_page_url":"https://doaj.org/article/87266f0e36984fc6b5d5f1a5e8ceebd7","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":"Symmetry, Vol 12, Iss 2, p 262 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/sym12020262","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym12020262","pdf_url":"https://www.mdpi.com/2073-8994/12/2/262/pdf?version=1582972826","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2941082053","display_name":null,"funder_award_id":"51741101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G499566249","display_name":null,"funder_award_id":"[2015]4011","funder_id":"https://openalex.org/F4320322272","funder_display_name":"Guizhou Science and Technology Department"},{"id":"https://openalex.org/G8776736351","display_name":null,"funder_award_id":"2018AAA0101803","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322272","display_name":"Guizhou Science and Technology Department","ror":"https://ror.org/00kwnh405"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3004718366.pdf","grobid_xml":"https://content.openalex.org/works/W3004718366.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W273955616","https://openalex.org/W1482638839","https://openalex.org/W1538131130","https://openalex.org/W1596717185","https://openalex.org/W1678356000","https://openalex.org/W1981368803","https://openalex.org/W1992985800","https://openalex.org/W2011721578","https://openalex.org/W2016710326","https://openalex.org/W2033169180","https://openalex.org/W2033206800","https://openalex.org/W2052290581","https://openalex.org/W2056714319","https://openalex.org/W2074029612","https://openalex.org/W2079976648","https://openalex.org/W2089073277","https://openalex.org/W2092932672","https://openalex.org/W2101234009","https://openalex.org/W2109064712","https://openalex.org/W2111124526","https://openalex.org/W2123306226","https://openalex.org/W2128420091","https://openalex.org/W2142009706","https://openalex.org/W2145992718","https://openalex.org/W2163605009","https://openalex.org/W2319547265","https://openalex.org/W2331520253","https://openalex.org/W2338402873","https://openalex.org/W2346180883","https://openalex.org/W2464725281","https://openalex.org/W2490901606","https://openalex.org/W2618398196","https://openalex.org/W2738042297","https://openalex.org/W2751488329","https://openalex.org/W2752092648","https://openalex.org/W2766856748","https://openalex.org/W2776002286","https://openalex.org/W2790960441","https://openalex.org/W2795082484","https://openalex.org/W2798341776","https://openalex.org/W2810731239","https://openalex.org/W2883578585","https://openalex.org/W2897056709","https://openalex.org/W2902452488","https://openalex.org/W2910088833","https://openalex.org/W2930184070","https://openalex.org/W2936979094","https://openalex.org/W2941315848","https://openalex.org/W2947121332","https://openalex.org/W2949117887","https://openalex.org/W2952614664","https://openalex.org/W2953958484","https://openalex.org/W2962787222","https://openalex.org/W2963403266","https://openalex.org/W2963784900","https://openalex.org/W2963798770","https://openalex.org/W2994650566","https://openalex.org/W2997940326","https://openalex.org/W3098905070","https://openalex.org/W3100710928","https://openalex.org/W3102449990","https://openalex.org/W4212883601","https://openalex.org/W6610017368","https://openalex.org/W6632100814","https://openalex.org/W6675354045","https://openalex.org/W6761784865"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W1975302149"],"abstract_inverted_index":{"In":[0],"this":[1,145],"paper,":[2],"a":[3,10,58],"hybrid":[4],"neural":[5,12,19,120],"network":[6,13,20,121],"(HNN)":[7],"that":[8,139],"combines":[9],"convolutional":[11],"(CNN)":[14],"and":[15,50,123,158],"long":[16],"short-term":[17],"memory":[18],"(LSTM)":[21],"is":[22],"proposed":[23,143],"to":[24,83],"extract":[25,149],"the":[26,45,72,77,85,89,92,95,98,102,108,140,150,154,165],"high-level":[27],"characteristics":[28],"of":[29,36,63,71,88,94,101,107,156],"materials":[30],"for":[31],"critical":[32],"temperature":[33],"(Tc)":[34],"prediction":[35],"superconductors.":[37],"Firstly,":[38],"by":[39,66],"obtaining":[40],"73,452":[41],"inorganic":[42],"compounds":[43],"from":[44],"Materials":[46],"Project":[47],"(MP)":[48],"database":[49],"building":[51],"an":[52],"atomic":[53,73],"environment":[54,74],"matrix,":[55],"we":[56],"obtained":[57,78],"vector":[59,80],"representation":[60,87],"(atomic":[61],"vector)":[62],"87":[64],"atoms":[65,96,155],"singular":[67],"value":[68],"decomposition":[69],"(SVD)":[70],"matrix.":[75],"Then,":[76],"atom":[79],"was":[81],"used":[82,131],"implement":[84],"coded":[86],"superconductors":[90,114],"in":[91,97,144,163],"order":[93],"chemical":[99],"formula":[100],"superconductor.":[103],"The":[104,135],"experimental":[105,136],"results":[106,137],"HNN":[109,141],"model":[110],"trained":[111],"with":[112,117],"12,413":[113],"were":[115],"compared":[116],"three":[118],"benchmark":[119],"algorithms":[122,127],"multiple":[124],"machine":[125],"learning":[126],"using":[128],"two":[129],"commonly":[130],"material":[132],"characterization":[133],"methods.":[134],"show":[138],"method":[142],"paper":[146],"can":[147],"effectively":[148],"characteristic":[151],"relationships":[152],"between":[153],"superconductors,":[157],"it":[159],"has":[160],"high":[161],"accuracy":[162],"predicting":[164],"Tc.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}