{"id":"https://openalex.org/W7141398692","doi":"https://doi.org/10.48550/arxiv.2603.25308","title":"Real-time control of multiphase processes with learned operators","display_name":"Real-time control of multiphase processes with learned operators","publication_year":2026,"publication_date":"2026-03-26","ids":{"openalex":"https://openalex.org/W7141398692","doi":"https://doi.org/10.48550/arxiv.2603.25308"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.25308","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25308","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":null,"license_id":null,"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.2603.25308","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032686674","display_name":"Paolo Guida","orcid":"https://orcid.org/0000-0002-9805-9291"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guida, Paolo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5121943479","display_name":"Didier Barradas-Bautista","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Barradas-Bautista, Didier","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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9376000165939331,"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"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9376000165939331,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.008799999952316284,"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"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.00570000009611249,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/model-predictive-control","display_name":"Model predictive control","score":0.7021999955177307},{"id":"https://openalex.org/keywords/observability","display_name":"Observability","score":0.6126999855041504},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5705000162124634},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5382999777793884},{"id":"https://openalex.org/keywords/multiphase-flow","display_name":"Multiphase flow","score":0.5085999965667725},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.4884999990463257},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4717000126838684},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4564000070095062},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4523000121116638}],"concepts":[{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.7021999955177307},{"id":"https://openalex.org/C36299963","wikidata":"https://www.wikidata.org/wiki/Q1369844","display_name":"Observability","level":2,"score":0.6126999855041504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5842000246047974},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5705000162124634},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5382999777793884},{"id":"https://openalex.org/C2779379648","wikidata":"https://www.wikidata.org/wiki/Q1559665","display_name":"Multiphase flow","level":2,"score":0.5085999965667725},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.4884999990463257},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4717000126838684},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4564000070095062},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4523000121116638},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4000000059604645},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3984000086784363},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.3959999978542328},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.34779998660087585},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3203999996185303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3100999891757965},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28870001435279846},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C28761237","wikidata":"https://www.wikidata.org/wiki/Q7805321","display_name":"Time horizon","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C159176650","wikidata":"https://www.wikidata.org/wiki/Q43261","display_name":"Horizon","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.25308","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25308","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.25308","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25308","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multiphase":[0],"flows":[1],"frequently":[2],"occur":[3],"naturally":[4],"and":[5,24,28,42,59,141,235,244],"in":[6,40,75],"manufactured":[7],"devices.":[8],"Controlling":[9],"such":[10],"phenomena":[11],"is":[12,116,150],"extremely":[13],"challenging":[14],"due":[15],"to":[16,37,55,63,118,158,241],"the":[17,25,52,85,120,155,160,166,182,191,197],"strongly":[18],"non-linear":[19],"dynamics,":[20],"rapid":[21],"phase":[22],"transitions,":[23],"limited":[26],"spatial":[27,58],"temporal":[29,60],"resolution":[30,61],"of":[31,82,123,138],"available":[32],"sensors,":[33],"which":[34],"can":[35],"lead":[36],"significant":[38,86],"inaccuracies":[39],"predicting":[41],"managing":[43],"these":[44],"flows.":[45],"In":[46],"most":[47],"cases,":[48],"numerical":[49,73],"models":[50,74],"are":[51,209],"only":[53],"way":[54],"access":[56],"high":[57],"data":[62],"an":[64,170],"extent":[65],"that":[66,204],"allows":[67],"for":[68,104,212,230,238],"fine":[69,80],"control.":[70],"While":[71],"embedding":[72],"control":[76,81,101,162,172],"algorithms":[77],"could":[78],"enable":[79],"multiphase":[83,106,232],"processes,":[84],"computational":[87],"burden":[88],"currently":[89],"limits":[90],"their":[91],"practical":[92,226],"application.":[93],"This":[94],"work":[95],"proposes":[96],"a":[97,124,131,135,142,176,225,236],"surrogate-assisted":[98],"model":[99],"predictive":[100],"(MPC)":[102],"framework":[103],"regulating":[105],"processes":[107],"using":[108],"learned":[109],"operators.":[110],"A":[111],"Fourier":[112],"Neural":[113],"Operator":[114],"(FNO)":[115],"trained":[117],"forecast":[119],"spatiotemporal":[121],"evolution":[122],"phase-indicator":[125],"field":[126],"(the":[127],"volume":[128],"fraction)":[129],"over":[130],"finite":[132],"horizon":[133],"from":[134],"short":[136],"history":[137],"recent":[139],"states":[140],"candidate":[143],"actuation":[144],"signal.":[145],"The":[146,199,222],"neural":[147],"operator":[148,246],"surrogate":[149],"then":[151],"iteratively":[152],"called":[153],"during":[154],"optimisation":[156],"process":[157],"identify":[159],"optimal":[161,171],"variable.":[163],"To":[164],"illustrate":[165],"approach,":[167],"we":[168,201],"solve":[169],"problem":[173],"(OCP)":[174],"on":[175],"two-phase":[177],"Eulerian":[178],"bubble":[179],"column.":[180],"Here,":[181],"controller":[183],"tracks":[184],"piecewise-constant":[185],"liquid":[186],"level":[187],"setpoints":[188],"by":[189],"adjusting":[190],"gas":[192],"flow":[193],"rate":[194],"introduced":[195],"into":[196],"system.":[198],"results":[200],"obtained":[202],"indicate":[203],"field-level":[205],"forecasting":[206],"with":[207],"FNOs":[208],"well":[210],"suited":[211],"closed-loop":[213],"optimization":[214],"since":[215],"they":[216],"have":[217],"relatively":[218],"low":[219],"evaluation":[220],"cost.":[221],"latter":[223],"provide":[224],"route":[227],"toward":[228],"MPC":[229],"fast":[231],"unit":[233],"operations":[234],"foundation":[237],"future":[239],"extensions":[240],"partial":[242],"observability":[243],"physics-informed":[245],"learning.":[247]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-28T00:00:00"}