{"id":"https://openalex.org/W2013947741","doi":"https://doi.org/10.1145/2739482.2764700","title":"A Combinatorial Genetic Algorithm for Computational Doping based Material Design","display_name":"A Combinatorial Genetic Algorithm for Computational Doping based Material Design","publication_year":2015,"publication_date":"2015-07-10","ids":{"openalex":"https://openalex.org/W2013947741","doi":"https://doi.org/10.1145/2739482.2764700","mag":"2013947741"},"language":"en","primary_location":{"id":"doi:10.1145/2739482.2764700","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739482.2764700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation","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/A5011817420","display_name":"Emrah At\u0131lgan","orcid":"https://orcid.org/0000-0002-0395-9976"},"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"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Emrah Atilgan","raw_affiliation_strings":["University of South Carolina, Columbia, SC, USA","University of South Carolina, columbia, SC, USA,"],"affiliations":[{"raw_affiliation_string":"University of South Carolina, Columbia, SC, USA","institution_ids":["https://openalex.org/I155781252"]},{"raw_affiliation_string":"University of South Carolina, columbia, SC, USA,","institution_ids":["https://openalex.org/I155781252"]}]},{"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianjun Hu","raw_affiliation_strings":["University of South Carolina, Columbia, SC, USA","University of South Carolina, columbia, SC, USA,"],"affiliations":[{"raw_affiliation_string":"University of South Carolina, Columbia, SC, USA","institution_ids":["https://openalex.org/I155781252"]},{"raw_affiliation_string":"University of South Carolina, columbia, SC, USA,","institution_ids":["https://openalex.org/I155781252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011817420"],"corresponding_institution_ids":["https://openalex.org/I155781252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.07537313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1349","last_page":"1350"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11948","display_name":"Machine Learning in Materials Science","score":0.9933000206947327,"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/T11527","display_name":"3D IC and TSV technologies","score":0.9830999970436096,"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/computer-science","display_name":"Computer science","score":0.6102933287620544},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5431668758392334},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5169371962547302},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10280218720436096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6102933287620544},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5431668758392334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5169371962547302},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10280218720436096}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2739482.2764700","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739482.2764700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1659842140","https://openalex.org/W2065905435","https://openalex.org/W2083222334"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857"],"abstract_inverted_index":{"Computational":[0],"material":[1,14,43,46,142,169],"discovery":[2],"can":[3,53,83,150],"search":[4],"large":[5],"design":[6],"space":[7],"to":[8,27,101,160],"identify":[9],"promising":[10],"candidates":[11],"for":[12,39,111,133,155],"experimental":[13],"design.":[15],"Density":[16],"Functional":[17],"Theory":[18],"(DFT)":[19],"based":[20,42],"first":[21],"principle":[22],"calculation":[23],"has":[24],"been":[25],"able":[26],"calculate":[28,102],"many":[29],"electrical":[30],"and":[31,170],"physical":[32],"properties":[33,56],"of":[34,75,81,114,139],"materials,":[35],"making":[36],"them":[37],"suitable":[38],"computational":[40,69,156],"doping":[41,157],"discovery.":[44],"In":[45,68],"doping,":[47,70],"given":[48],"a":[49,73,78,112,119,130],"base":[50,168],"material,":[51],"one":[52],"change":[54],"its":[55,103],"by":[57,158],"substituting":[58],"some":[59,80],"elements":[60],"with":[61,86,123,143],"new":[62],"ones":[63],"or":[64],"adding":[65],"additional":[66],"elements.":[67],"we":[71,93,128],"have":[72],"grid":[74,113],"atoms":[76],"in":[77],"supercell,":[79],"which":[82,106],"be":[84],"substituted":[85],"dopant":[87],"atoms.":[88,116],"For":[89],"each":[90],"such":[91],"substitution,":[92],"use":[94],"the":[95,135,140,144,152,167,173],"Vienna":[96],"Ab-Initio":[97],"Simulation":[98],"Package":[99],"(VASP)":[100],"physicochemical":[104],"properties,":[105],"takes":[107],"about":[108],"30":[109],"hours":[110],"75":[115],"This":[117],"is":[118],"typical":[120],"optimization":[121],"problem":[122],"expensive":[124],"evaluation":[125],"functions.":[126],"Here":[127],"developed":[129],"genetic":[131],"algorithm":[132],"finding":[134],"most":[136],"stable":[137],"structure":[138],"doped":[141],"lowest":[145],"free":[146],"electronic":[147],"energy.":[148],"It":[149],"reduce":[151],"running":[153],"time":[154],"up":[159],"70%.":[161],"We":[162],"used":[163],"SrTiO3":[164],"perovskite":[165],"as":[166,172],"Nb":[171],"substitution":[174],"element.":[175]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
