{"id":"https://openalex.org/W4410022262","doi":"https://doi.org/10.1088/2632-2153/add3bf","title":"The OpenLAM Challenges: LAM Crystal Philately competition","display_name":"The OpenLAM Challenges: LAM Crystal Philately competition","publication_year":2025,"publication_date":"2025-05-02","ids":{"openalex":"https://openalex.org/W4410022262","doi":"https://doi.org/10.1088/2632-2153/add3bf"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/add3bf","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/add3bf","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/add3bf/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/add3bf/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014792249","display_name":"Anyang Peng","orcid":"https://orcid.org/0000-0002-0630-2187"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Anyang Peng","raw_affiliation_strings":["AI for Science Institute, Beijing 100080, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"AI for Science Institute, Beijing 100080, People\u2019s Republic of China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063919709","display_name":"Xinzijian Liu","orcid":"https://orcid.org/0000-0003-2242-6881"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinzijian Liu","raw_affiliation_strings":["AI for Science Institute, Beijing 100080, People\u2019s Republic of China","DP Technology, Beijing 100080, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"AI for Science Institute, Beijing 100080, People\u2019s Republic of China","institution_ids":[]},{"raw_affiliation_string":"DP Technology, Beijing 100080, People\u2019s Republic of China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103257537","display_name":"Min Guo","orcid":"https://orcid.org/0000-0002-6329-7839"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming-Yu Guo","raw_affiliation_strings":["DP Technology, Beijing 100080, People\u2019s Republic of China","School of Chemistry, Sun Yat-sen University, Guangzhou 510006, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"DP Technology, Beijing 100080, People\u2019s Republic of China","institution_ids":[]},{"raw_affiliation_string":"School of Chemistry, Sun Yat-sen University, Guangzhou 510006, People\u2019s Republic of China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100689116","display_name":"Linfeng Zhang","orcid":"https://orcid.org/0000-0002-7740-7971"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Linfeng Zhang","raw_affiliation_strings":["AI for Science Institute, Beijing 100080, People\u2019s Republic of China","DP Technology, Beijing 100080, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"AI for Science Institute, Beijing 100080, People\u2019s Republic of China","institution_ids":[]},{"raw_affiliation_string":"DP Technology, Beijing 100080, People\u2019s Republic of China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100452643","display_name":"Handong Wang","orcid":"https://orcid.org/0000-0001-5989-9338"},"institutions":[{"id":"https://openalex.org/I126792128","display_name":"Institute of Applied Physics","ror":"https://ror.org/01km14z09","country_code":"UA","type":"facility","lineage":["https://openalex.org/I126792128","https://openalex.org/I149851306"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN","UA"],"is_corresponding":false,"raw_author_name":"Han Wang","raw_affiliation_strings":["HEDPS, CAPT, College of Engineering, Peking University, Beijing 100871, People\u2019s Republic of China","Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, Fenghao East Road 2, Beijing 100094, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"HEDPS, CAPT, College of Engineering, Peking University, Beijing 100871, People\u2019s Republic of China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, Fenghao East Road 2, Beijing 100094, People\u2019s Republic of China","institution_ids":["https://openalex.org/I126792128"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014792249"],"corresponding_institution_ids":[],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":4.595,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.9444264,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"6","issue":"2","first_page":"020701","last_page":"020701"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.47870001196861267,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.47870001196861267,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/philately","display_name":"Philately","score":0.9270820021629333},{"id":"https://openalex.org/keywords/competition","display_name":"Competition (biology)","score":0.629798173904419},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.24919238686561584},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.14325860142707825},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.13285872340202332},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.09657171368598938}],"concepts":[{"id":"https://openalex.org/C149830592","wikidata":"https://www.wikidata.org/wiki/Q131026","display_name":"Philately","level":2,"score":0.9270820021629333},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.629798173904419},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.24919238686561584},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.14325860142707825},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.13285872340202332},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.09657171368598938}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1088/2632-2153/add3bf","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/add3bf","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/add3bf/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:f998cf99e4bc40df93ca0b54d63bd6c5","is_oa":true,"landing_page_url":"https://doaj.org/article/f998cf99e4bc40df93ca0b54d63bd6c5","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning: Science and Technology, Vol 6, Iss 2, p 020701 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/add3bf","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/add3bf","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/add3bf/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":[],"awards":[{"id":"https://openalex.org/G4815469755","display_name":null,"funder_award_id":"~2022YFA1004300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410022262.pdf"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1992985800","https://openalex.org/W2015197254","https://openalex.org/W2097370873","https://openalex.org/W2102940758","https://openalex.org/W2334044140","https://openalex.org/W2601081289","https://openalex.org/W2803462582","https://openalex.org/W3013990447","https://openalex.org/W3023937119","https://openalex.org/W3093999435","https://openalex.org/W3126463765","https://openalex.org/W3129696436","https://openalex.org/W3216088529","https://openalex.org/W4310135808","https://openalex.org/W4315631504","https://openalex.org/W4321479733","https://openalex.org/W4360601153","https://openalex.org/W4365138106","https://openalex.org/W4386740800","https://openalex.org/W4389132751","https://openalex.org/W4389980189","https://openalex.org/W4391631778","https://openalex.org/W4396215804","https://openalex.org/W4396708749","https://openalex.org/W4405574099","https://openalex.org/W4408233279","https://openalex.org/W4410027863","https://openalex.org/W6676087360","https://openalex.org/W6838781806","https://openalex.org/W6859689415","https://openalex.org/W6866908456","https://openalex.org/W6873040471","https://openalex.org/W6873481708","https://openalex.org/W6874042194"],"related_works":["https://openalex.org/W2407902836","https://openalex.org/W2409315706","https://openalex.org/W1967441830","https://openalex.org/W4300640821","https://openalex.org/W2417132765","https://openalex.org/W2439655438","https://openalex.org/W2461198510","https://openalex.org/W2396294635","https://openalex.org/W4322724754","https://openalex.org/W2415845159"],"abstract_inverted_index":{"Abstract":[0],"Inspired":[1],"by":[2,55,108,121,125],"the":[3,9,25,36,49,66,69,117,140,149,155,172],"success":[4],"of":[5,11,51,65,105,154],"large":[6,12],"language":[7],"models,":[8],"development":[10,50],"atomistic":[13],"models":[14,54],"(LAMs)":[15],"has":[16,29,160],"rapidly":[17],"gained":[18],"momentum":[19],"in":[20,86,178],"scientific":[21,89],"computation.":[22],"Since":[23],"2022,":[24],"Deep":[26],"Potential":[27],"team":[28],"been":[30],"actively":[31],"pretraining":[32],"LAMs":[33],"and":[34,60,83,131,134,181],"launched":[35],"OpenLAM":[37,67,70,141,173],"Initiative,":[38,68],"which":[39],"advocates":[40],"for":[41],"creating":[42],"a":[43],"community-driven":[44],"platform":[45],"aimed":[46],"at":[47],"accelerating":[48],"open-source":[52,103],"foundation":[53],"sharing":[56],"curated":[57],"datasets,":[58],"algorithms,":[59],"relevant":[61],"workflows.":[62],"As":[63],"part":[64],"Challenges":[71],"are":[72,123,137],"competitions":[73],"designed":[74],"to":[75,100],"benchmark":[76],"atomic":[77],"modeling":[78,180],"methods,":[79],"encourage":[80],"community":[81],"collaboration,":[82],"accelerate":[84],"advances":[85],"machine":[87],"learning-driven":[88],"discovery.":[90],"The":[91,151],"LAM":[92,127,156],"Crystal":[93,157],"Philately":[94,158],"competition,":[95,118],"as":[96],"an":[97,102,126],"example,":[98],"aims":[99],"construct":[101],"database":[104],"crystal":[106],"structures":[107,119,147],"collecting":[109],"unique":[110],"configurations":[111],"with":[112],"arbitrary":[113],"chemical":[114],"compositions.":[115],"During":[116],"submitted":[120],"participants":[122],"validated":[124],"based":[128],"on":[129,171],"energy":[130],"force":[132],"criteria,":[133],"their":[135],"stabilities":[136],"assessed":[138],"using":[139],"convex":[142,174],"hull":[143],"derived":[144],"from":[145],"all":[146],"within":[148],"database.":[150],"first":[152],"round":[153],"competition":[159],"collected":[161],"over":[162],"19.8":[163],"million":[164],"valid":[165],"structures,":[166],"including":[167],"approximately":[168],"350":[169],"000":[170],"hull,":[175],"driving":[176],"advancements":[177],"generative":[179],"materials":[182],"science":[183],"applications.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}
