{"id":"https://openalex.org/W7139137597","doi":"https://doi.org/10.48550/arxiv.2603.15943","title":"Scientific Machine Learning-assisted Model Discovery from Telemetry Data","display_name":"Scientific Machine Learning-assisted Model Discovery from Telemetry Data","publication_year":2026,"publication_date":"2026-03-16","ids":{"openalex":"https://openalex.org/W7139137597","doi":"https://doi.org/10.48550/arxiv.2603.15943"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.15943","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15943","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.2603.15943","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060784518","display_name":"Sebastian Miclu\u0163a-C\u00e2mpeanu","orcid":"https://orcid.org/0000-0002-9134-6626"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Micluta-Campeanu, Sebastian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129808769","display_name":"Avinash Subramanian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Subramanian, Avinash","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085828589","display_name":"Anas Abdelrehim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abdelrehim, Anas","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107699659","display_name":"Ranjan Anantharaman","orcid":"https://orcid.org/0000-0002-4409-3937"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anantharaman, Ranjan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013772403","display_name":"Rohit Dhumane","orcid":"https://orcid.org/0000-0002-0671-4544"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dhumane, Rohit","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130014996","display_name":"Brad Carman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carman, Brad","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5120892302","display_name":"Chris Rackauckas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rackauckas, Chris","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5060784518"],"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/T10121","display_name":"Building Energy and Comfort Optimization","score":0.1573999971151352,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10121","display_name":"Building Energy and Comfort Optimization","score":0.1573999971151352,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10763","display_name":"Digital Transformation in Industry","score":0.14100000262260437,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11206","display_name":"Model Reduction and Neural Networks","score":0.09459999948740005,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.694100022315979},{"id":"https://openalex.org/keywords/telemetry","display_name":"Telemetry","score":0.6046000123023987},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.46970000863075256},{"id":"https://openalex.org/keywords/hvac","display_name":"HVAC","score":0.3578999936580658},{"id":"https://openalex.org/keywords/refrigeration","display_name":"Refrigeration","score":0.34040001034736633},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.33169999718666077},{"id":"https://openalex.org/keywords/dyad","display_name":"Dyad","score":0.3142000138759613}],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.694100022315979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6144000291824341},{"id":"https://openalex.org/C183121708","wikidata":"https://www.wikidata.org/wiki/Q209867","display_name":"Telemetry","level":2,"score":0.6046000123023987},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.46970000863075256},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3935999870300293},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3776000142097473},{"id":"https://openalex.org/C122346748","wikidata":"https://www.wikidata.org/wiki/Q1798773","display_name":"HVAC","level":3,"score":0.3578999936580658},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34049999713897705},{"id":"https://openalex.org/C69907114","wikidata":"https://www.wikidata.org/wiki/Q747713","display_name":"Refrigeration","level":2,"score":0.34040001034736633},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.33169999718666077},{"id":"https://openalex.org/C2777716012","wikidata":"https://www.wikidata.org/wiki/Q5318389","display_name":"Dyad","level":2,"score":0.3142000138759613},{"id":"https://openalex.org/C55037315","wikidata":"https://www.wikidata.org/wiki/Q5421151","display_name":"Experimental data","level":2,"score":0.31200000643730164},{"id":"https://openalex.org/C37785467","wikidata":"https://www.wikidata.org/wiki/Q385325","display_name":"Modelica","level":2,"score":0.31130000948905945},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3068000078201294},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3046000003814697},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.296999990940094},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.28619998693466187},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.2786000072956085},{"id":"https://openalex.org/C2779795794","wikidata":"https://www.wikidata.org/wiki/Q7315343","display_name":"Reset (finance)","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.26409998536109924},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.262800008058548},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.25699999928474426},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.25429999828338623}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.15943","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15943","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.2603.15943","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15943","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":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.41188329458236694}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Calibration":[0],"of":[1,15,68,86],"dynamic":[2],"models":[3],"to":[4,28,30,91,108,126],"data":[5],"is":[6,35,47,103,119],"an":[7],"important":[8],"step":[9],"in":[10],"building":[11,12],"digital":[13,84],"twins":[14],"HVAC":[16],"equipment,":[17],"thermal":[18],"loads":[19],"and":[20,46],"control":[21],"systems.":[22],"Sometimes,":[23],"when":[24],"a":[25,32,55,83,87],"model":[26,38,70],"fails":[27],"calibrate":[29],"data,":[31],"possible":[33],"cause":[34],"that":[36,62],"the":[37,65,69,76,109,120],"has":[39],"made":[40],"too":[41],"many":[42],"sim-":[43],"plifying":[44],"assumptions":[45],"missing":[48],"physics.":[49],"In":[50],"this":[51,80],"paper":[52],"we":[53],"propose":[54],"semi-automated":[56],"approach,":[57],"called":[58],"Dyad":[59],"Model":[60],"Discovery,":[61],"can":[63,112],"augment":[64],"physical":[66],"equations":[67],"with":[71],"symbolic":[72],"expressions":[73],"discovered":[74],"from":[75],"data.":[77,99],"We":[78],"demonstrate":[79],"method":[81],"on":[82],"twin":[85],"transportation":[88],"refrigeration":[89],"unit":[90],"improve":[92],"its":[93],"predictive":[94],"performance,":[95],"trained":[96],"using":[97],"telemetry":[98],"An":[100],"engineer-in-the-loop":[101],"workflow":[102,125],"proposed,":[104],"which":[105,111],"provides":[106],"suggestions":[107],"user":[110],"then":[113],"be":[114],"accepted":[115],"or":[116],"rejected.":[117],"This":[118],"first":[121],"AI-assisted":[122],"engineering":[123],"design":[124],"our":[127],"knowledge.":[128]},"counts_by_year":[],"updated_date":"2026-03-20T20:54:20.808490","created_date":"2026-03-20T00:00:00"}
