{"id":"https://openalex.org/W4416778190","doi":"https://doi.org/10.1109/icdmw69685.2025.00226","title":"Autoregressive Surrogate Modeling of the Solar Wind with Spherical Fourier Neural Operator","display_name":"Autoregressive Surrogate Modeling of the Solar Wind with Spherical Fourier Neural Operator","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W4416778190","doi":"https://doi.org/10.1109/icdmw69685.2025.00226"},"language":null,"primary_location":{"id":"doi:10.1109/icdmw69685.2025.00226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw69685.2025.00226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Data Mining Workshops (ICDMW)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2511.20830","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087160893","display_name":"Reza Mansouri","orcid":"https://orcid.org/0000-0001-6007-6566"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mansouri, Reza","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014142286","display_name":"Dustin Kempton","orcid":"https://orcid.org/0000-0002-1837-8365"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kempton, Dustin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010179711","display_name":"Pete Riley","orcid":"https://orcid.org/0000-0002-1859-456X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Riley, Pete","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5009847987","display_name":"Rafal A. Angryk","orcid":"https://orcid.org/0000-0001-9598-8207"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Angryk, Rafal","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087160893"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25270092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10251","display_name":"Solar and Space Plasma Dynamics","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10251","display_name":"Solar and Space Plasma Dynamics","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"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/T10159","display_name":"Ionosphere and magnetosphere dynamics","score":0.004399999976158142,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.0008999999845400453,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/coronal-mass-ejection","display_name":"Coronal mass ejection","score":0.6876000165939331},{"id":"https://openalex.org/keywords/solar-wind","display_name":"Solar wind","score":0.5695000290870667},{"id":"https://openalex.org/keywords/coronal-hole","display_name":"Coronal hole","score":0.4936999976634979},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.45410001277923584},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.44609999656677246},{"id":"https://openalex.org/keywords/space-weather","display_name":"Space weather","score":0.43959999084472656},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4327999949455261},{"id":"https://openalex.org/keywords/magnetohydrodynamic-drive","display_name":"Magnetohydrodynamic drive","score":0.4316999912261963},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4133000075817108}],"concepts":[{"id":"https://openalex.org/C72886185","wikidata":"https://www.wikidata.org/wiki/Q129890","display_name":"Coronal mass ejection","level":4,"score":0.6876000165939331},{"id":"https://openalex.org/C108411613","wikidata":"https://www.wikidata.org/wiki/Q79833","display_name":"Solar wind","level":3,"score":0.5695000290870667},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.5587999820709229},{"id":"https://openalex.org/C64162976","wikidata":"https://www.wikidata.org/wiki/Q127948","display_name":"Coronal hole","level":5,"score":0.4936999976634979},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.45410001277923584},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.44609999656677246},{"id":"https://openalex.org/C151325931","wikidata":"https://www.wikidata.org/wiki/Q584093","display_name":"Space weather","level":2,"score":0.43959999084472656},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4327999949455261},{"id":"https://openalex.org/C42471609","wikidata":"https://www.wikidata.org/wiki/Q1779048","display_name":"Magnetohydrodynamic drive","level":4,"score":0.4316999912261963},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4133000075817108},{"id":"https://openalex.org/C54834619","wikidata":"https://www.wikidata.org/wiki/Q131687","display_name":"Heliosphere","level":4,"score":0.4106999933719635},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3864000141620636},{"id":"https://openalex.org/C207864730","wikidata":"https://www.wikidata.org/wiki/Q179467","display_name":"Fourier series","level":2,"score":0.3630000054836273},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.34529998898506165},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.32499998807907104},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.31619998812675476},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31220000982284546},{"id":"https://openalex.org/C30475298","wikidata":"https://www.wikidata.org/wiki/Q909554","display_name":"Computational physics","level":1,"score":0.3059999942779541},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.30140000581741333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2937999963760376},{"id":"https://openalex.org/C183682340","wikidata":"https://www.wikidata.org/wiki/Q2043698","display_name":"Solar physics","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.2842999994754791},{"id":"https://openalex.org/C86132830","wikidata":"https://www.wikidata.org/wiki/Q3308838","display_name":"Outflow","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C41074950","wikidata":"https://www.wikidata.org/wiki/Q240105","display_name":"Radial velocity","level":3,"score":0.27090001106262207},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.2680000066757202},{"id":"https://openalex.org/C17825722","wikidata":"https://www.wikidata.org/wiki/Q17285","display_name":"Plane (geometry)","level":2,"score":0.2581999897956848}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icdmw69685.2025.00226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw69685.2025.00226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Data Mining Workshops (ICDMW)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2511.20830","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.20830","pdf_url":"https://arxiv.org/pdf/2511.20830","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2511.20830","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.20830","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2511.20830","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.20830","pdf_url":"https://arxiv.org/pdf/2511.20830","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1979745831","https://openalex.org/W1986391097","https://openalex.org/W2071154966","https://openalex.org/W2021274336","https://openalex.org/W2063731984","https://openalex.org/W3163548323","https://openalex.org/W4205620229","https://openalex.org/W2049440614","https://openalex.org/W4235606958","https://openalex.org/W2115689803","https://openalex.org/W1997691238","https://openalex.org/W3034778859","https://openalex.org/W4396758761","https://openalex.org/W2979786244","https://openalex.org/W4406459268","https://openalex.org/W4409037058","https://openalex.org/W4401044008","https://openalex.org/W4247375400","https://openalex.org/W4252713891","https://openalex.org/W2016589492","https://openalex.org/W2007563970","https://openalex.org/W2159269332"],"related_works":[],"abstract_inverted_index":{"The":[0,130],"solar":[1,66,127],"wind,":[2],"a":[3,79,98,115,122],"continuous":[4],"outflow":[5],"of":[6,24,52],"charged":[7],"particles":[8],"from":[9],"the":[10,14,58,71,86,89,103],"Sun's":[11],"corona,":[12],"shapes":[13],"heliosphere":[15],"and":[16,30,83,118,133],"impacts":[17],"space":[18,37],"systems":[19],"near":[20],"Earth.":[21],"Accurate":[22],"prediction":[23],"features":[25],"such":[26],"as":[27],"high-speed":[28],"streams":[29],"coronal":[31],"mass":[32],"ejections":[33],"is":[34],"critical":[35],"for":[36,64,125],"weather":[38],"forecasting,":[39],"but":[40],"traditional":[41],"three-dimensional":[42],"magnetohydrodynamic":[43],"(MHD)":[44],"models":[45],"are":[46,137],"computationally":[47],"expensive,":[48],"limiting":[49],"rapid":[50],"exploration":[51],"boundary":[53],"condition":[54],"uncertainties.":[55],"We":[56],"introduce":[57],"first":[59],"autoregressive":[60],"machine":[61],"learning":[62],"surrogate":[63],"steady-state":[65],"wind":[67,128],"radial":[68,81],"velocity":[69],"using":[70],"Spherical":[72],"Fourier":[73],"Neural":[74],"Operator":[75],"(SFNO).":[76],"By":[77],"predicting":[78],"limited":[80],"range":[82],"iteratively":[84],"propagating":[85],"solution":[87],"outward,":[88],"model":[90],"improves":[91],"accuracy":[92],"in":[93],"distant":[94],"regions":[95],"compared":[96],"to":[97],"single-step":[99],"approach.":[100],"Compared":[101],"with":[102],"numerical":[104],"HUX":[105],"surrogate,":[106],"SFNO":[107],"demonstrates":[108],"superior":[109],"or":[110],"comparable":[111],"performance":[112],"while":[113],"providing":[114],"flexible,":[116],"trainable,":[117],"data-driven":[119],"alternative,":[120],"establishing":[121],"novel":[123],"methodology":[124],"high-fidelity":[126],"modeling.":[129],"source":[131],"code":[132],"additional":[134],"visual":[135],"results":[136],"available":[138],"at":[139],"https://github.com/rezmansouri/solarwind-sfno-velocity-autoregressive.":[140]},"counts_by_year":[],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-11-28T00:00:00"}