{"id":"https://openalex.org/W4313567241","doi":"https://doi.org/10.1088/2632-2153/acadcd","title":"Material transformers: deep learning language models for generative materials design","display_name":"Material transformers: deep learning language models for generative materials design","publication_year":2022,"publication_date":"2022-12-21","ids":{"openalex":"https://openalex.org/W4313567241","doi":"https://doi.org/10.1088/2632-2153/acadcd"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/acadcd","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/acadcd","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/acadcd/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://iopscience.iop.org/article/10.1088/2632-2153/acadcd/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048652419","display_name":"Nihang Fu","orcid":"https://orcid.org/0009-0005-9872-9530"},"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":"Nihang Fu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, United States of America","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025355763","display_name":"Lai Wei","orcid":"https://orcid.org/0000-0003-0344-8540"},"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":"Lai Wei","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, United States of America","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039446470","display_name":"Yuqi Song","orcid":"https://orcid.org/0009-0000-8148-9212"},"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":"Yuqi Song","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, United States of America","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009319774","display_name":"Qinyang Li","orcid":null},"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":"Qinyang Li","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, United States of America","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102971726","display_name":"Rui Xin","orcid":"https://orcid.org/0000-0002-8452-3233"},"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":"Rui Xin","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, United States of America","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088863045","display_name":"Sadman Sadeed Omee","orcid":"https://orcid.org/0000-0002-1016-8072"},"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":"Sadman Sadeed Omee","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, United States of America","institution_ids":["https://openalex.org/I155781252"]}]},{"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/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":"Rongzhi Dong","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, United States of America","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064150588","display_name":"Edirisuriya M. Dilanga Siriwardane","orcid":"https://orcid.org/0000-0001-8960-5273"},"institutions":[{"id":"https://openalex.org/I90678064","display_name":"University of Colombo","ror":"https://ror.org/02phn5242","country_code":"LK","type":"education","lineage":["https://openalex.org/I90678064"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Edirisuriya M Dilanga Siriwardane","raw_affiliation_strings":["Department of Physics, University of Colombo, Colombo 03, Sri Lanka"],"raw_orcid":"https://orcid.org/0000-0001-8960-5273","affiliations":[{"raw_affiliation_string":"Department of Physics, University of Colombo, Colombo 03, Sri Lanka","institution_ids":["https://openalex.org/I90678064"]}]},{"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":true,"raw_author_name":"Jianjun Hu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, United States of America"],"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 29201, United States of America","institution_ids":["https://openalex.org/I155781252"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060537711"],"corresponding_institution_ids":["https://openalex.org/I155781252"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":2.2593,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.88897716,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"4","issue":"1","first_page":"015001","last_page":"015001"},"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/T10260","display_name":"Software Engineering Research","score":0.9318000078201294,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9052000045776367,"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/transformer","display_name":"Transformer","score":0.8134565353393555},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.7493599653244019},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.6614465713500977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5963326096534729},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.48289918899536133},{"id":"https://openalex.org/keywords/superposition-principle","display_name":"Superposition principle","score":0.43846559524536133},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3913037180900574},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18751800060272217},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16215422749519348},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1529799997806549},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.14158806204795837}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.8134565353393555},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7493599653244019},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.6614465713500977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5963326096534729},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.48289918899536133},{"id":"https://openalex.org/C27753989","wikidata":"https://www.wikidata.org/wiki/Q284885","display_name":"Superposition principle","level":2,"score":0.43846559524536133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3913037180900574},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18751800060272217},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16215422749519348},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1529799997806549},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.14158806204795837},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1088/2632-2153/acadcd","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/acadcd","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/acadcd/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ddaf5bad39254ce1bbd45bc57cb6cca6","is_oa":true,"landing_page_url":"https://doaj.org/article/ddaf5bad39254ce1bbd45bc57cb6cca6","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":"Machine Learning: Science and Technology, Vol 4, Iss 1, p 015001 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/acadcd","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/acadcd","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/acadcd/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8100000023841858,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310846","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1970127494","https://openalex.org/W1979544533","https://openalex.org/W1981368803","https://openalex.org/W1992985800","https://openalex.org/W2007395042","https://openalex.org/W2044012801","https://openalex.org/W2054704030","https://openalex.org/W2079105963","https://openalex.org/W2083222334","https://openalex.org/W2087698390","https://openalex.org/W2618625858","https://openalex.org/W2806351858","https://openalex.org/W2893583421","https://openalex.org/W2896457183","https://openalex.org/W2945260553","https://openalex.org/W2952203458","https://openalex.org/W2957874522","https://openalex.org/W2965373594","https://openalex.org/W2970597249","https://openalex.org/W2975270375","https://openalex.org/W2978707075","https://openalex.org/W2983301919","https://openalex.org/W3010387158","https://openalex.org/W3034999214","https://openalex.org/W3036120435","https://openalex.org/W3037592148","https://openalex.org/W3042130878","https://openalex.org/W3094175649","https://openalex.org/W3101694814","https://openalex.org/W3113009196","https://openalex.org/W3116865743","https://openalex.org/W3118781290","https://openalex.org/W3121311390","https://openalex.org/W3126709166","https://openalex.org/W3160789623","https://openalex.org/W3168750461","https://openalex.org/W3187134297","https://openalex.org/W3192953411","https://openalex.org/W3194210660","https://openalex.org/W3200809495","https://openalex.org/W3202900079","https://openalex.org/W3204173733","https://openalex.org/W3209056694","https://openalex.org/W3212496002","https://openalex.org/W3214740101","https://openalex.org/W4221144946","https://openalex.org/W4223983777","https://openalex.org/W4224997295","https://openalex.org/W4229005744","https://openalex.org/W4280491725","https://openalex.org/W4281619372","https://openalex.org/W4288066876","https://openalex.org/W4288089799","https://openalex.org/W4292779060","https://openalex.org/W4297951436","https://openalex.org/W6738599175","https://openalex.org/W6755207826","https://openalex.org/W6762122294","https://openalex.org/W6763701032","https://openalex.org/W6765474767","https://openalex.org/W6766673545","https://openalex.org/W6769311223","https://openalex.org/W6769627184","https://openalex.org/W6773401589","https://openalex.org/W6778883912","https://openalex.org/W6788175385","https://openalex.org/W6790355277","https://openalex.org/W6800160402","https://openalex.org/W6801774906","https://openalex.org/W6810330045","https://openalex.org/W6838088261","https://openalex.org/W6891832364"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W2087346071","https://openalex.org/W2967848559","https://openalex.org/W4299831724","https://openalex.org/W4283803360"],"abstract_inverted_index":{"Abstract":[0],"Pre-trained":[1],"transformer":[2,52,99,257],"language":[3,16],"models":[4,28,53,100,195,210,258],"(LMs)":[5],"on":[6,116],"large":[7],"unlabeled":[8],"corpus":[9],"have":[10,29,212,234],"produced":[11],"state-of-the-art":[12],"results":[13],"in":[14,165,216],"natural":[15],"processing,":[17],"organic":[18],"molecule":[19],"design,":[20],"and":[21,60,73,93,134,162,225,259],"protein":[22],"sequence":[23],"generation.":[24],"However,":[25],"no":[26],"such":[27,200],"been":[30],"applied":[31,235],"to":[32,87,130,136,149,174,239],"learn":[33],"the":[34,38,66,70,89,95,102,112,150,176,183,186,194,219,222],"composition":[35],"patterns":[36],"for":[37,62,101],"generative":[39,90,103],"design":[40,64,91,104],"of":[41,49,69,97,105,185,218,221,243],"material":[42,123],"compositions.":[43,107],"Here":[44],"we":[45],"train":[46],"a":[47,231,241],"series":[48],"seven":[50],"modern":[51,98],"(GPT,":[54],"GPT-2,":[55],"GPT-Neo,":[56],"GPT-J,":[57],"BLMM,":[58],"BART,":[59],"RoBERTa)":[61],"materials":[63,106,113,167,237,245,256],"using":[65,248],"expanded":[67],"formulas":[68],"ICSD,":[71],"OQMD,":[72],"Materials":[74],"Projects":[75],"databases.":[76],"Six":[77],"different":[78,209],"datasets":[79],"with/out":[80],"non-charge-neutral":[81],"or":[82],"EB":[83],"samples":[84,224],"are":[85],"used":[86],"benchmark":[88],"performances":[92],"uncover":[94],"biases":[96],"Our":[108,155,204],"experiments":[109,205],"show":[110,207],"that":[111,182,208],"transformers":[114,238],"based":[115],"causal":[117],"LMs":[118,156],"can":[119,189,261],"generate":[120],"chemically":[121],"valid":[122],"compositions":[124,188],"with":[125,196],"as":[126,128,201,246],"high":[127,159],"97.61%":[129],"be":[131,137,190,262],"charge":[132],"neutral":[133],"91.22%":[135],"electronegativity":[138],"balanced,":[139],"which":[140],"has":[141],"more":[142],"than":[143],"six":[144],"times":[145],"higher":[146],"enrichment":[147],"compared":[148],"baseline":[151],"pseudo-random":[152],"sampling":[153],"algorithm.":[154],"also":[157,180,206],"demonstrate":[158],"generation":[160],"novelty":[161],"their":[163,172,213,226],"potential":[164],"new":[166,244],"discovery":[168],"is":[169],"proved":[170],"by":[171,192],"capability":[173],"recover":[175],"leave-out":[177],"materials.":[178],"We":[179,233],"find":[181],"properties":[184,220],"generated":[187,223],"tailored":[191],"training":[193,198],"selected":[197],"sets":[199],"high-bandgap":[202],"samples.":[203],"each":[211],"own":[214],"preference":[215],"terms":[217],"running":[227],"time":[228],"complexity":[229],"varies":[230],"lot.":[232],"our":[236,254],"discover":[240],"set":[242],"validated":[247],"density":[249],"functional":[250],"theory":[251],"calculations.":[252],"All":[253],"trained":[255],"code":[260],"accessed":[263],"freely":[264],"at":[265],"http://www.github.com/usccolumbia/MTransformer":[266],".":[267]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
