{"id":"https://openalex.org/W7133353450","doi":"https://doi.org/10.48550/arxiv.2603.00377","title":"Improving Full Waveform Inversion in Large Model Era","display_name":"Improving Full Waveform Inversion in Large Model Era","publication_year":2026,"publication_date":"2026-02-27","ids":{"openalex":"https://openalex.org/W7133353450","doi":"https://doi.org/10.48550/arxiv.2603.00377"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.00377","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00377","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.00377","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5127785078","display_name":"Yinan Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Feng, Yinan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127917809","display_name":"Peng Jin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin, Peng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127959901","display_name":"Yuzhe Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Yuzhe","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127942914","display_name":"Yinpeng Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yinpeng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5001857687","display_name":"Youzuo Lin","orcid":"https://orcid.org/0000-0001-7337-6760"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Youzuo","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5127785078"],"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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9340999722480774,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9340999722480774,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11757","display_name":"Seismic Waves and Analysis","score":0.039500001817941666,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10413","display_name":"High-pressure geophysics and materials","score":0.006500000134110451,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.6316999793052673},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5756999850273132},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5544000267982483},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.4756999909877777},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4537000060081482},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.4431999921798706},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.38760000467300415}],"concepts":[{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.6316999793052673},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5756999850273132},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5544000267982483},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.5340999960899353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5127000212669373},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4799000024795532},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.4756999909877777},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4537000060081482},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.4431999921798706},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.38760000467300415},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.38760000467300415},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C2988430800","wikidata":"https://www.wikidata.org/wiki/Q428971","display_name":"Scaling law","level":3,"score":0.3070000112056732},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3034999966621399},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.2770000100135803},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26030001044273376},{"id":"https://openalex.org/C189474733","wikidata":"https://www.wikidata.org/wiki/Q917912","display_name":"Model building","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.00377","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00377","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.00377","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00377","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"score":0.45509442687034607,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Full":[0],"Waveform":[1],"Inversion":[2],"(FWI)":[3],"is":[4],"a":[5,70,92,97],"highly":[6],"nonlinear":[7],"and":[8,38,76,86,112,122,141,146,159,193],"ill-posed":[9],"problem":[10],"that":[11,69,95,173],"aims":[12],"to":[13,42,57,59,84,167,190],"recover":[14],"subsurface":[15],"velocity":[16],"maps":[17],"from":[18,155,165],"surface-recorded":[19],"seismic":[20],"waveforms":[21],"data.":[22],"Existing":[23],"data-driven":[24,129],"FWI":[25,101],"typically":[26],"uses":[27],"small":[28],"models,":[29],"as":[30],"available":[31],"datasets":[32],"have":[33],"limited":[34],"volume,":[35],"geological":[36,62,88,195],"diversity,":[37,111],"spatial":[39],"extent,":[40],"leading":[41],"substantial":[43,188],"concerns":[44],"about":[45],"overfitting.":[46],"Although":[47],"they":[48],"perform":[49],"well":[50,83],"on":[51,74,120,182],"synthetic":[52,184],"datasets,":[53],"current":[54],"methods":[55],"fail":[56],"generalize":[58,81],"more":[60,191],"realistic":[61,194],"structures.":[63,196],"In":[64],"this":[65],"work,":[66],"we":[67],"show":[68],"model":[71,99,108,116],"trained":[72,181],"entirely":[73],"simulated":[75],"relatively":[77],"simple":[78,183],"data":[79,110,185],"can":[80,186],"remarkably":[82],"challenging":[85,133],"unseen":[87],"benchmarks.":[89],"We":[90],"provide":[91],"working":[93],"recipe":[94],"tames":[96],"billion-parameter":[98],"for":[100],"through":[102],"coordinated":[103],"scaling":[104,177],"across":[105],"three":[106],"axes:":[107],"capacity,":[109],"training":[113,157],"strategy.":[114],"Our":[115],"achieves":[117],"state-of-the-art":[118],"performance":[119,162],"OpenFWI":[121],"significantly":[123],"narrows":[124],"the":[125,156],"generalization":[126,189],"gap":[127],"in":[128],"FWI.":[130],"Across":[131],"six":[132],"geophysical":[134],"benchmarks,":[135],"including":[136],"Marmousi,":[137],"2D":[138],"SEG/EAGE":[139],"Salt":[140],"Overthrust,":[142],"2004":[143],"BP,":[144],"Sigsbee,":[145],"SEAM":[147],"Phase":[148],"I,":[149],"it":[150],"infers":[151],"complex":[152,192],"structures":[153],"absent":[154],"set":[158],"delivers":[160],"significant":[161],"improvements":[163],"(SSIM":[164],"0.5844":[166],"0.7669).":[168],"Overall,":[169],"our":[170],"results":[171],"demonstrate":[172],"with":[174],"an":[175],"appropriate":[176],"strategy,":[178],"large":[179],"models":[180],"achieve":[187]},"counts_by_year":[],"updated_date":"2026-03-04T07:09:34.246503","created_date":"2026-03-04T00:00:00"}
