{"id":"https://openalex.org/W7161561743","doi":"https://doi.org/10.48550/arxiv.2605.16230","title":"Universal Magnetic Structure Prediction from Atomic Coordinates with Near-Experimental Accuracy","display_name":"Universal Magnetic Structure Prediction from Atomic Coordinates with Near-Experimental Accuracy","publication_year":2026,"publication_date":"2026-05-15","ids":{"openalex":"https://openalex.org/W7161561743","doi":"https://doi.org/10.48550/arxiv.2605.16230"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.16230","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16230","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.16230","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014628792","display_name":"Abhijatmedhi Chotrattanapituk","orcid":"https://orcid.org/0000-0001-6278-1138"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chotrattanapituk, Abhijatmedhi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136416150","display_name":"Ryotaro Okabe","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Okabe, Ryotaro","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118590929","display_name":"Eunbi Rha","orcid":"https://orcid.org/0009-0007-4633-577X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rha, Eunbi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109672504","display_name":"Mariya Al-Hinai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Al-Hinai, Mariya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136449945","display_name":"Eugene Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Eugene","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136048900","display_name":"Daniel Pajerowski","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pajerowski, Daniel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136446303","display_name":"Yongqiang Cheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Yongqiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136389415","display_name":"Joshua J. Turner","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Turner, Joshua J.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136406046","display_name":"Mingda Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Mingda","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.8508999943733215,"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":0.8508999943733215,"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/T11804","display_name":"Quantum many-body systems","score":0.023000000044703484,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10657","display_name":"Topological Materials and Phenomena","score":0.013199999928474426,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/magnetic-structure","display_name":"Magnetic structure","score":0.6899999976158142},{"id":"https://openalex.org/keywords/symmetry","display_name":"Symmetry (geometry)","score":0.5006999969482422},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4921000003814697},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4848000109195709},{"id":"https://openalex.org/keywords/magnetic-domain","display_name":"Magnetic domain","score":0.4228000044822693},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.387800008058548},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.37929999828338623},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3707999885082245}],"concepts":[{"id":"https://openalex.org/C175601593","wikidata":"https://www.wikidata.org/wiki/Q6731614","display_name":"Magnetic structure","level":4,"score":0.6899999976158142},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.5737000107765198},{"id":"https://openalex.org/C2779886137","wikidata":"https://www.wikidata.org/wiki/Q21030012","display_name":"Symmetry (geometry)","level":2,"score":0.5006999969482422},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4921000003814697},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4848000109195709},{"id":"https://openalex.org/C182260160","wikidata":"https://www.wikidata.org/wiki/Q1069637","display_name":"Magnetic domain","level":4,"score":0.4228000044822693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38999998569488525},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.387800008058548},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.37929999828338623},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3707999885082245},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.35100001096725464},{"id":"https://openalex.org/C171036898","wikidata":"https://www.wikidata.org/wiki/Q256355","display_name":"Equivariant map","level":2,"score":0.33880001306533813},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3278000056743622},{"id":"https://openalex.org/C33332235","wikidata":"https://www.wikidata.org/wiki/Q18362","display_name":"Theoretical physics","level":1,"score":0.3262999951839447},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.32249999046325684},{"id":"https://openalex.org/C157479481","wikidata":"https://www.wikidata.org/wiki/Q177831","display_name":"Magnetic flux","level":3,"score":0.32109999656677246},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3125},{"id":"https://openalex.org/C115260700","wikidata":"https://www.wikidata.org/wiki/Q11408","display_name":"Magnetic field","level":2,"score":0.3109999895095825},{"id":"https://openalex.org/C115624301","wikidata":"https://www.wikidata.org/wiki/Q895901","display_name":"Crystal structure","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.3034000098705292},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.2786000072956085},{"id":"https://openalex.org/C2988224531","wikidata":"https://www.wikidata.org/wiki/Q20830730","display_name":"Network structure","level":2,"score":0.25780001282691956},{"id":"https://openalex.org/C82217956","wikidata":"https://www.wikidata.org/wiki/Q184207","display_name":"Ferromagnetism","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C30475298","wikidata":"https://www.wikidata.org/wiki/Q909554","display_name":"Computational physics","level":1,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.16230","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16230","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.16230","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16230","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Magnetic":[0],"order":[1],"is":[2],"a":[3,13,97,123,133],"fundamental":[4],"property":[5],"of":[6,16,138],"materials,":[7],"governing":[8],"collective":[9],"behavior":[10],"and":[11,28,38,62,93,112,131],"enabling":[12],"broad":[14],"range":[15],"functionalities.":[17],"Yet":[18],"magnetic":[19,48,64,115,128,139],"structure":[20,49,84,129],"remains":[21],"difficult":[22],"to":[23,90,135],"determine:":[24],"experiments":[25],"are":[26,88],"costly":[27],"specialized,":[29],"while":[30],"first-principles":[31],"methods":[32],"often":[33],"struggle":[34],"with":[35,117],"the":[36,81],"noncollinear":[37],"incommensurate":[39,94],"orders":[40],"found":[41],"in":[42,96],"real":[43],"materials.":[44,140],"Here":[45],"we":[46,87],"introduce":[47],"network":[50,57],"(MSN),":[51],"an":[52],"E(3)":[53],"equivariant":[54],"graph":[55],"neural":[56],"that":[58],"predicts":[59],"both":[60],"collinear":[61],"non-collinear":[63],"structures":[65,76,95,116],"directly":[66,72],"from":[67,77],"atomic":[68],"crystal":[69],"structures,":[70],"trained":[71],"on":[73],"experimentally":[74],"determined":[75],"MAGNDATA.":[78],"By":[79],"proposing":[80],"primitive":[82],"modulated":[83],"representation":[85],"(PMSR),":[86],"able":[89],"encode":[91],"commensurate":[92],"unified":[98],"way":[99],"without":[100],"symmetry":[101],"assumptions.":[102],"The":[103],"model":[104],"achieves":[105],"strong":[106],"performance":[107],"across":[108],"all":[109],"modulation":[110],"components":[111],"reconstructs":[113],"experimental":[114],"high":[118],"fidelity.":[119],"Our":[120],"approach":[121],"provides":[122],"scalable":[124],"framework":[125],"for":[126],"rapid":[127],"prediction":[130],"opens":[132],"route":[134],"data-driven":[136],"discovery":[137]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-19T00:00:00"}
