{"id":"https://openalex.org/W7213517385","doi":"https://doi.org/10.48550/arxiv.2609.17593","title":"Task-preserving neural segmentation of overlapping shocks and vortex cores in compressible flows","display_name":"Task-preserving neural segmentation of overlapping shocks and vortex cores in compressible flows","publication_year":2026,"publication_date":"2026-09-12","ids":{"openalex":"https://openalex.org/W7213517385","doi":"https://doi.org/10.48550/arxiv.2609.17593"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2609.17593","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.17593","pdf_url":"https://arxiv.org/pdf/2609.17593","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2609.17593","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067028133","display_name":"Ehsan Roohi","orcid":"https://orcid.org/0000-0001-5739-3210","observed_orcids":["https://orcid.org/0000-0001-5739-3210"]},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Roohi, Ehsan","raw_affiliation_strings":["Mechanical and Industrial Engineering , University of Massachusetts Amherst , 160 Governors Dr. , Amherst , Massachusetts 01003 , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mechanical and Industrial Engineering , University of Massachusetts Amherst , 160 Governors Dr. , Amherst , Massachusetts 01003 , USA","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5067028133"],"corresponding_institution_ids":["https://openalex.org/I24603500"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T10173","display_name":"Computational Fluid Dynamics and Aerodynamics","score":0.6801999807357788,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10173","display_name":"Computational Fluid Dynamics and Aerodynamics","score":0.6801999807357788,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.2808000147342682,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.015399999916553497,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/shock-detection","display_name":"shock detection","score":0.5979999899864197},{"id":"https://openalex.org/keywords/compressible-flow","display_name":"compressible flow","score":0.8140000104904175},{"id":"https://openalex.org/keywords/overlapping-structures","display_name":"overlapping structures","score":0.5519999861717224},{"id":"https://openalex.org/keywords/shared-encoder","display_name":"shared encoder","score":0.4339999854564667},{"id":"https://openalex.org/keywords/rankine-hugoniot-jump-conditions","display_name":"Rankine-Hugoniot jump conditions","score":0.8429999947547913},{"id":"https://openalex.org/keywords/oblique-shock-waves","display_name":"oblique shock","score":0.746999979019165},{"id":"https://openalex.org/keywords/u-net","display_name":"U-Net","score":0.6830000281333923}],"concepts":[{"id":"https://openalex.org/C140820882","wikidata":"https://www.wikidata.org/wiki/Q732722","display_name":"Vortex","level":2,"score":0.7314000129699707},{"id":"https://openalex.org/C2781300812","wikidata":"https://www.wikidata.org/wiki/Q178061","display_name":"Shock (circulatory)","level":2,"score":0.670799970626831},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.5446000099182129},{"id":"https://openalex.org/C205991772","wikidata":"https://www.wikidata.org/wiki/Q221337","display_name":"Supersonic speed","level":2,"score":0.5268999934196472},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.4970000088214874},{"id":"https://openalex.org/C112124176","wikidata":"https://www.wikidata.org/wiki/Q4698744","display_name":"Airfoil","level":2,"score":0.49380001425743103},{"id":"https://openalex.org/C200114574","wikidata":"https://www.wikidata.org/wiki/Q1143513","display_name":"Vorticity","level":3,"score":0.42340001463890076},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.41110000014305115},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.40849998593330383},{"id":"https://openalex.org/C84655787","wikidata":"https://www.wikidata.org/wiki/Q8067817","display_name":"Compressibility","level":2,"score":0.38510000705718994},{"id":"https://openalex.org/C70477161","wikidata":"https://www.wikidata.org/wiki/Q190688","display_name":"Shock wave","level":2,"score":0.37139999866485596},{"id":"https://openalex.org/C182748727","wikidata":"https://www.wikidata.org/wiki/Q178932","display_name":"Reynolds number","level":3,"score":0.36570000648498535},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.3418999910354614},{"id":"https://openalex.org/C5192115","wikidata":"https://www.wikidata.org/wiki/Q2705141","display_name":"Compressible flow","level":3,"score":0.3319999873638153},{"id":"https://openalex.org/C140369647","wikidata":"https://www.wikidata.org/wiki/Q3359167","display_name":"Vortex generator","level":3,"score":0.3188000023365021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3163999915122986},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.29899999499320984},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2924000024795532},{"id":"https://openalex.org/C527307","wikidata":"https://www.wikidata.org/wiki/Q370906","display_name":"Angle of attack","level":3,"score":0.2856000065803528},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28189998865127563},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2718000113964081},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.26339998841285706},{"id":"https://openalex.org/C122824865","wikidata":"https://www.wikidata.org/wiki/Q830787","display_name":"Hypersonic speed","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C131053463","wikidata":"https://www.wikidata.org/wiki/Q4680751","display_name":"Adaptive mesh refinement","level":2,"score":0.25270000100135803},{"id":"https://openalex.org/C165231844","wikidata":"https://www.wikidata.org/wiki/Q160669","display_name":"Mach number","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2609.17593","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.17593","pdf_url":"https://arxiv.org/pdf/2609.17593","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2609.17593","doi":"https://doi.org/10.48550/arxiv.2609.17593","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2609.17593","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,"listed_in":[],"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2609.17593","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.17593","pdf_url":"https://arxiv.org/pdf/2609.17593","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332749","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7213517385.pdf","grobid_xml":"https://content.openalex.org/works/W7213517385.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1483870316","https://openalex.org/W1901129140","https://openalex.org/W1976638764","https://openalex.org/W1979176272","https://openalex.org/W2000204163","https://openalex.org/W2022364218","https://openalex.org/W2032687946","https://openalex.org/W2055217959","https://openalex.org/W2060161546","https://openalex.org/W2061048870","https://openalex.org/W2061299227","https://openalex.org/W2069055108","https://openalex.org/W2101959759","https://openalex.org/W2106729205","https://openalex.org/W2145023731","https://openalex.org/W2157464891","https://openalex.org/W2158082510","https://openalex.org/W2216523920","https://openalex.org/W2585776738","https://openalex.org/W2767434619","https://openalex.org/W2768535327","https://openalex.org/W2783062005","https://openalex.org/W2895864597","https://openalex.org/W2953825227","https://openalex.org/W2963677766","https://openalex.org/W3000947656","https://openalex.org/W3127780029","https://openalex.org/W3170544306","https://openalex.org/W4286909924","https://openalex.org/W4319988532","https://openalex.org/W4390873054","https://openalex.org/W4409573101"],"related_works":["https://openalex.org/W7147156504","https://openalex.org/W3036785040","https://openalex.org/W1657859904","https://openalex.org/W4414716382","https://openalex.org/W2995938473","https://openalex.org/W7163558301","https://openalex.org/W7120173729","https://openalex.org/W2323961015","https://openalex.org/W4293791176","https://openalex.org/W7211867168"],"abstract_inverted_index":{"Shock":[0],"fronts":[1],"and":[2,7,15,53,61,69,75,85,132,142,151,162,180,198],"vortex":[3,86,113,154,165],"cores":[4],"often":[5],"coexist":[6],"overlap":[8,193],"in":[9,41],"compressible":[10],"flows,":[11],"where":[12],"walls,":[13],"wakes":[14],"shear":[16],"layers":[17],"also":[18],"produce":[19],"strong":[20],"gradients.":[21],"Refining":[22],"a":[23,47,181],"network":[24],"to":[25,96,101,111],"detect":[26],"one":[27],"structure":[28],"can":[29],"therefore":[30],"degrade":[31],"its":[32],"prediction":[33],"of":[34,126,169,207],"the":[35,39,42,93,102,112,121,127,173,177,208,218],"other":[36],"without":[37],"revealing":[38],"loss":[40],"optimized":[43],"score.":[44],"We":[45],"present":[46],"task-preserving":[48],"formulation":[49],"for":[50],"simultaneous":[51],"shock":[52,84,117,122,148,187],"vortex-core":[54,191],"segmentation.":[55],"The":[56,213],"experiments":[57],"use":[58],"two":[59,94],"solvers":[60],"include":[62],"supersonic":[63],"diamond-airfoil":[64],"flows":[65],"at":[66],"several":[67],"incidences":[68],"Reynolds":[70],"numbers,":[71],"together":[72],"with":[73,88,242],"circular-":[74],"elliptical-cylinder":[76],"flows.":[77],"A":[78,201],"shared":[79],"primitive":[80],"encoder":[81],"feeds":[82],"separate":[83],"decoders":[87],"independent":[89,168],"sigmoid":[90],"outputs,":[91],"allowing":[92],"classes":[95],"overlap.":[97],"Adaptation":[98],"is":[99,135],"confined":[100],"relevant":[103],"branch:":[104],"zero-initialized":[105],"adapters":[106],"supply":[107,166],"rotational":[108],"diagnostics":[109],"only":[110,120],"decoder,":[114],"while":[115],"corrected":[116],"supervision":[118],"updates":[119],"decoder.":[123],"All":[124],"dependencies":[125],"protected":[128],"output":[129],"remain":[130],"fixed,":[131],"bitwise":[133],"equality":[134],"verified":[136],"on":[137],"every":[138],"evaluation":[139],"field.":[140],"Compression":[141],"conservation-jump":[143],"(Rankine--Hugoniot)":[144],"signatures":[145],"provide":[146,153],"weak":[147],"supervision;":[149],"rotation":[150],"topology":[152],"candidates.":[155],"Analytical":[156],"oblique-shock":[157,221],"rays,":[158],"Billig's":[159],"bow-shock":[160],"correlation":[161],"an":[163],"isentropic":[164],"references":[167],"these":[170],"labels.":[171],"Under":[172],"same":[174],"corrected-target":[175],"budget,":[176],"restricted":[178],"model":[179],"capacity-matched":[182],"shared-decoder":[183],"U-Net":[184],"obtain":[185],"comparable":[186],"agreement.":[188,212],"Their":[189],"airfoil":[190],"Dice":[192],"scores,":[194],"however,":[195],"are":[196,233],"0.83":[197],"0.08,":[199],"respectively.":[200],"soft":[202],"retention":[203],"penalty":[204],"recovers":[205],"most":[206],"U-Net's":[209],"lost":[210],"core":[211],"frozen":[214],"shock-adapted":[215],"models":[216],"locate":[217],"tested":[219],"analytical":[220],"rays":[222],"within":[223],"0.003":[224],"chord.":[225],"An":[226],"additional":[227],"branch":[228],"identifies":[229],"expanding-flow":[230],"regions,":[231],"which":[232],"distinguished":[234],"from":[235],"centred":[236],"Prandtl--Meyer":[237],"expansion":[238],"fans":[239],"through":[240],"comparison":[241],"ideal":[243],"shock--expansion":[244],"theory.":[245]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-09-18T00:00:00"}