{"id":"https://openalex.org/W7131414185","doi":"https://doi.org/10.48550/arxiv.2602.20714","title":"WeirNet: A Large-Scale 3D CFD Benchmark for Geometric Surrogate Modeling of Piano Key Weirs","display_name":"WeirNet: A Large-Scale 3D CFD Benchmark for Geometric Surrogate Modeling of Piano Key Weirs","publication_year":2026,"publication_date":"2026-02-24","ids":{"openalex":"https://openalex.org/W7131414185","doi":"https://doi.org/10.48550/arxiv.2602.20714"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.20714","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"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":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121841601","display_name":"Lisa Luddecke","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"L\u00fcddecke, Lisa","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113661953","display_name":"Michael Hohmann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hohmann, Michael","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087562937","display_name":"Sebastian Eilermann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eilermann, Sebastian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007558680","display_name":"Jan Tillmann-Mumm","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tillmann-Mumm, Jan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074268418","display_name":"Pezhman Pourabdollah","orcid":"https://orcid.org/0000-0003-3574-5574"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pourabdollah, Pezhman","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126800177","display_name":"Mario Oertel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oertel, Mario","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5052190420","display_name":"Oliver Niggemann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niggemann, Oliver","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5121841601"],"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/T12022","display_name":"Hydraulic flow and structures","score":0.8614000082015991,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/T12022","display_name":"Hydraulic flow and structures","score":0.8614000082015991,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/T10577","display_name":"Hydrology and Sediment Transport Processes","score":0.0746999979019165,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12293","display_name":"Dam Engineering and Safety","score":0.015699999406933784,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8309999704360962},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6279000043869019},{"id":"https://openalex.org/keywords/computational-fluid-dynamics","display_name":"Computational fluid dynamics","score":0.6241999864578247},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5702000260353088},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.564300000667572},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.4869999885559082},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.3562000095844269},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.3540000021457672},{"id":"https://openalex.org/keywords/performance-prediction","display_name":"Performance prediction","score":0.3409999907016754}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8309999704360962},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6279000043869019},{"id":"https://openalex.org/C1633027","wikidata":"https://www.wikidata.org/wiki/Q815820","display_name":"Computational fluid dynamics","level":2,"score":0.6241999864578247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6039999723434448},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5702000260353088},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.564300000667572},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.4869999885559082},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.3562000095844269},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.3540000021457672},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.3409999907016754},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.336899995803833},{"id":"https://openalex.org/C170028559","wikidata":"https://www.wikidata.org/wiki/Q1261059","display_name":"Discharge coefficient","level":3,"score":0.33340001106262207},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.32010000944137573},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.31459999084472656},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31200000643730164},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.299699991941452},{"id":"https://openalex.org/C158843486","wikidata":"https://www.wikidata.org/wiki/Q2137810","display_name":"Complex geometry","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2678999900817871},{"id":"https://openalex.org/C40319758","wikidata":"https://www.wikidata.org/wiki/Q5535477","display_name":"Geometric design","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C2778370241","wikidata":"https://www.wikidata.org/wiki/Q18386598","display_name":"Parametric design","level":3,"score":0.2635999917984009},{"id":"https://openalex.org/C11394606","wikidata":"https://www.wikidata.org/wiki/Q1972552","display_name":"Hydraulic machinery","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C2779276979","wikidata":"https://www.wikidata.org/wiki/Q1066997","display_name":"Weir","level":2,"score":0.26030001044273376},{"id":"https://openalex.org/C104065381","wikidata":"https://www.wikidata.org/wiki/Q1002535","display_name":"Geometric modeling","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C199104240","wikidata":"https://www.wikidata.org/wiki/Q118291","display_name":"Marine engineering","level":1,"score":0.2581999897956848},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.20714","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"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":"Article"},{"id":"doi:10.48550/arxiv.2602.20714","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.20714","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:doi:10.48550/arxiv.2602.20714","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"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":"Article"},"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":{"Reliable":[0],"prediction":[1],"of":[2,62,194,223,230],"hydraulic":[3,217,231],"performance":[4],"is":[5,31,103],"challenging":[6],"for":[7,58,132,215],"Piano":[8],"Key":[9],"Weir":[10],"(PKW)":[11],"design":[12],"because":[13],"discharge":[14,78,98,133,183],"capacity":[15],"depends":[16],"on":[17,138],"three-dimensional":[18],"geometry":[19,173],"and":[20,45,70,95,114,122,124,148,153,185,207,219],"operating":[21,43],"conditions.":[22],"Surrogate":[23],"models":[24,150],"can":[25],"accelerate":[26],"hydraulic-structure":[27],"design,":[28],"but":[29],"progress":[30],"limited":[32],"by":[33],"scarce":[34],"large,":[35],"well-documented":[36],"datasets":[37],"that":[38,91],"jointly":[39],"capture":[40],"geometric":[41,59],"variation,":[42],"conditions,":[44],"functional":[46],"performance.":[47],"This":[48],"study":[49],"presents":[50],"WeirNet,":[51],"a":[52,81,212],"large":[53],"3D":[54],"CFD":[55,168],"benchmark":[56,94],"dataset":[57,102,202],"surrogate":[60,128],"modeling":[61,218],"PKWs.":[63],"WeirNet":[64,210],"contains":[65],"3,794":[66],"parametric,":[67],"feasibility-constrained":[68],"rectangular":[69],"trapezoidal":[71],"PKW":[72,224],"geometries,":[73],"each":[74],"scheduled":[75],"at":[76],"19":[77],"conditions":[79],"using":[80],"consistent":[82],"free-surface":[83],"OpenFOAM":[84],"workflow,":[85],"resulting":[86],"in":[87,160],"71,387":[88],"completed":[89],"simulations":[90],"form":[92],"the":[93,142,176,195,201,227],"with":[96,119,204],"complete":[97],"coefficient":[99,134],"labels.":[100],"The":[101],"released":[104],"as":[105,175],"multiple":[106],"modalities":[107],"compact":[108],"parametric":[109,139],"descriptors,":[110],"watertight":[111],"surface":[112],"meshes":[113],"high-resolution":[115],"point":[116],"clouds":[117],"together":[118,203],"standardized":[120],"tasks":[121],"in-distribution":[123],"out-of-distribution":[125],"splits.":[126],"Representative":[127],"families":[129],"are":[130],"benchmarked":[131],"prediction.":[135],"Tree-based":[136],"regressors":[137],"descriptors":[140],"achieve":[141],"best":[143],"overall":[144],"accuracy,":[145],"while":[146],"point-":[147],"mesh-based":[149],"remain":[151],"competitive":[152],"offer":[154],"parameterization-agnostic":[155],"inference.":[156],"All":[157],"surrogates":[158],"evaluate":[159],"milliseconds":[161],"per":[162],"sample,":[163],"providing":[164],"orders-of-magnitude":[165],"speedups":[166],"over":[167],"runtimes.":[169],"Out-of-distribution":[170],"results":[171],"identify":[172],"shift":[174],"dominant":[177],"failure":[178],"mode":[179],"compared":[180],"to":[181],"unseen":[182],"values,":[184],"data-efficiency":[186],"experiments":[187],"show":[188],"diminishing":[189],"returns":[190],"beyond":[191],"roughly":[192],"60%":[193],"training":[196],"data.":[197],"By":[198],"publicly":[199],"releasing":[200],"simulation":[205],"setups":[206],"evaluation":[208],"pipelines,":[209],"establishes":[211],"reproducible":[213],"framework":[214],"data-driven":[216],"enables":[220],"faster":[221],"exploration":[222],"designs":[225],"during":[226],"early":[228],"stages":[229],"planning.":[232]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-26T00:00:00"}
