{"id":"https://openalex.org/W7125976464","doi":"https://doi.org/10.1109/smc58881.2025.11343403","title":"Anticipatory Product and Process Life Cycle Analysis via Machine Learning and Data-Driven Approaches <sup>*</sup>","display_name":"Anticipatory Product and Process Life Cycle Analysis via Machine Learning and Data-Driven Approaches <sup>*</sup>","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125976464","doi":"https://doi.org/10.1109/smc58881.2025.11343403"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11343403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5118698699","display_name":"Andres Castellar-Freile","orcid":null},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Andres Castellar-Freile","raw_affiliation_strings":["Rowan University,Department of Chemical Engineering,Glassboro,NJ,USA,08028"],"affiliations":[{"raw_affiliation_string":"Rowan University,Department of Chemical Engineering,Glassboro,NJ,USA,08028","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117788379","display_name":"Harriet Dufie Appiah","orcid":null},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Harriet D. Appiah","raw_affiliation_strings":["Rowan University,Department of Chemical Engineering,Glassboro,NJ,USA,08028"],"affiliations":[{"raw_affiliation_string":"Rowan University,Department of Chemical Engineering,Glassboro,NJ,USA,08028","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106368158","display_name":"Matthew Conway","orcid":null},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Conway","raw_affiliation_strings":["Rowan University,Department of Chemical Engineering,Glassboro,NJ,USA,08028"],"affiliations":[{"raw_affiliation_string":"Rowan University,Department of Chemical Engineering,Glassboro,NJ,USA,08028","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124127840","display_name":"Milo Barkow","orcid":null},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Milo Barkow","raw_affiliation_strings":["Rowan University,Department of Chemical Engineering,Glassboro,NJ,USA,08028"],"affiliations":[{"raw_affiliation_string":"Rowan University,Department of Chemical Engineering,Glassboro,NJ,USA,08028","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113438298","display_name":"Brendan Weil","orcid":null},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brendan Weil","raw_affiliation_strings":["Rowan University,Department of Chemical Engineering,Glassboro,NJ,USA,08028"],"affiliations":[{"raw_affiliation_string":"Rowan University,Department of Chemical Engineering,Glassboro,NJ,USA,08028","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065447327","display_name":"Marcella McMahon","orcid":null},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marcella McMahon","raw_affiliation_strings":["Rowan University,Department of Chemical Engineering,Glassboro,NJ,USA,08028"],"affiliations":[{"raw_affiliation_string":"Rowan University,Department of Chemical Engineering,Glassboro,NJ,USA,08028","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124068486","display_name":"Jahnvi Patel","orcid":null},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jahnvi Patel","raw_affiliation_strings":["Rowan University,Department of Chemical Engineering,Glassboro,NJ,USA,08028"],"affiliations":[{"raw_affiliation_string":"Rowan University,Department of Chemical Engineering,Glassboro,NJ,USA,08028","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014208444","display_name":"Robert Hesketh","orcid":"https://orcid.org/0009-0009-9860-6417"},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Hesketh","raw_affiliation_strings":["Rowan University,Department of Chemical Engineering,Glassboro,NJ,USA,08028"],"affiliations":[{"raw_affiliation_string":"Rowan University,Department of Chemical Engineering,Glassboro,NJ,USA,08028","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089295912","display_name":"Kirti M. Yenkie","orcid":"https://orcid.org/0000-0002-8044-0369"},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kirti M. Yenkie","raw_affiliation_strings":["Rowan University,Department of Chemical Engineering,Glassboro,NJ,USA,08028"],"affiliations":[{"raw_affiliation_string":"Rowan University,Department of Chemical Engineering,Glassboro,NJ,USA,08028","institution_ids":["https://openalex.org/I44265643"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5118698699"],"corresponding_institution_ids":["https://openalex.org/I44265643"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.64199671,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"108","last_page":"113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13180","display_name":"Chemistry and Chemical Engineering","score":0.36649999022483826,"subfield":{"id":"https://openalex.org/subfields/2304","display_name":"Environmental Chemistry"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13180","display_name":"Chemistry and Chemical Engineering","score":0.36649999022483826,"subfield":{"id":"https://openalex.org/subfields/2304","display_name":"Environmental Chemistry"},"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/T11948","display_name":"Machine Learning in Materials Science","score":0.1573999971151352,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11053","display_name":"Process Optimization and Integration","score":0.1039000004529953,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/process","display_name":"Process (computing)","score":0.6632999777793884},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6279000043869019},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5266000032424927},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4368000030517578},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4113999903202057},{"id":"https://openalex.org/keywords/life-cycle-assessment","display_name":"Life-cycle assessment","score":0.3955000042915344},{"id":"https://openalex.org/keywords/new-product-development","display_name":"New product development","score":0.350600004196167},{"id":"https://openalex.org/keywords/global-warming-potential","display_name":"Global-warming potential","score":0.30869999527931213}],"concepts":[{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6632999777793884},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6279000043869019},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5605000257492065},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5266000032424927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.524399995803833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46639999747276306},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4368000030517578},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4113999903202057},{"id":"https://openalex.org/C2778706760","wikidata":"https://www.wikidata.org/wiki/Q581950","display_name":"Life-cycle assessment","level":3,"score":0.3955000042915344},{"id":"https://openalex.org/C19351080","wikidata":"https://www.wikidata.org/wiki/Q1395034","display_name":"New product development","level":2,"score":0.350600004196167},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.34860000014305115},{"id":"https://openalex.org/C119288801","wikidata":"https://www.wikidata.org/wiki/Q901028","display_name":"Global-warming potential","level":3,"score":0.30869999527931213},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C194304873","wikidata":"https://www.wikidata.org/wiki/Q1967338","display_name":"Product lifecycle","level":3,"score":0.30469998717308044},{"id":"https://openalex.org/C2987857752","wikidata":"https://www.wikidata.org/wiki/Q12147","display_name":"Human health","level":2,"score":0.3043000102043152},{"id":"https://openalex.org/C34585555","wikidata":"https://www.wikidata.org/wiki/Q1368723","display_name":"Learning curve","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C76956256","wikidata":"https://www.wikidata.org/wiki/Q27610560","display_name":"Process modeling","level":3,"score":0.2759999930858612},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C2777958785","wikidata":"https://www.wikidata.org/wiki/Q17120940","display_name":"Resource efficiency","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C124223222","wikidata":"https://www.wikidata.org/wiki/Q2281940","display_name":"Chemical process","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11343403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.5773249864578247,"display_name":"Responsible consumption and production"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306107","display_name":"U.S. Environmental Protection Agency","ror":"https://ror.org/03tns0030"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2022241540","https://openalex.org/W2478996267","https://openalex.org/W2963981055","https://openalex.org/W2983022780","https://openalex.org/W3012349197","https://openalex.org/W3020917871","https://openalex.org/W3133627700","https://openalex.org/W4200219381","https://openalex.org/W4388906855","https://openalex.org/W4395481620","https://openalex.org/W4401460033","https://openalex.org/W4410928201","https://openalex.org/W4412717998"],"related_works":[],"abstract_inverted_index":{"Performing":[0],"the":[1,7,45,61,68,72,95,107,117],"Life":[2],"Cycle":[3],"Analysis":[4],"(LCA)":[5],"at":[6],"early-stage":[8,121],"design":[9],"of":[10,20,67,119],"a":[11,100,124,130],"chemical":[12,125],"process":[13,36,40],"can":[14],"be":[15],"difficult":[16],"since":[17],"large":[18],"amounts":[19],"data":[21],"about":[22],"its":[23],"operation":[24],"are":[25,58],"required.":[26],"This":[27],"study":[28],"aims":[29],"to":[30,70,105],"perform":[31],"an":[32,120],"anticipatory":[33],"product":[34],"and":[35,63,88,97],"LCA":[37,122],"during":[38],"all":[39],"stages,":[41],"from":[42],"Cradle-to-Grave.":[43],"In":[44],"first":[46],"phase":[47],"(Cradle-to-Gate),":[48],"Machine":[49],"Learning":[50],"(ML)":[51],"models,":[52],"such":[53],"as":[54,127],"Neural":[55],"Network":[56],"(NN),":[57],"developed":[59,104],"using":[60],"thermodynamic":[62],"molecular":[64],"descriptor":[65],"properties":[66],"chemicals":[69],"predict":[71],"LCIA":[73],"endpoint":[74],"metrics:":[75],"human":[76],"health":[77],"impact":[78,82,91],"(HHI),":[79],"ecosystem":[80],"quality":[81],"(EQI),":[83],"global":[84],"warming":[85],"potential":[86],"(GWP),":[87],"resource":[89],"utilization":[90],"(RUI).":[92],"Additionally,":[93],"for":[94,110,123],"Gate-to-Gate":[96],"Gate-to-Grave":[98],"analyses,":[99],"regression":[101],"model":[102],"was":[103],"determine":[106],"emission":[108],"factors":[109],"various":[111],"separation":[112],"technologies.":[113],"These":[114],"results":[115],"enable":[116],"development":[118],"process,":[126],"illustrated":[128],"through":[129],"case":[131],"study.":[132]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-29T00:00:00"}
