{"id":"https://openalex.org/W7127073168","doi":"https://doi.org/10.1002/adts.202501987","title":"A Mathematical Framework for Monte Carlo Simulation of Particulate\u2010Filled Systems","display_name":"A Mathematical Framework for Monte Carlo Simulation of Particulate\u2010Filled Systems","publication_year":2026,"publication_date":"2026-02-01","ids":{"openalex":"https://openalex.org/W7127073168","doi":"https://doi.org/10.1002/adts.202501987"},"language":"en","primary_location":{"id":"doi:10.1002/adts.202501987","doi":"https://doi.org/10.1002/adts.202501987","is_oa":false,"landing_page_url":"https://doi.org/10.1002/adts.202501987","pdf_url":null,"source":{"id":"https://openalex.org/S4210193742","display_name":"Advanced Theory and Simulations","issn_l":"2513-0390","issn":["2513-0390"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","jufo-1","norway-1","poland-20","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Theory and Simulations","raw_type":"journal-article"},"volume":null,"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/A5039844610","display_name":"Soheyl Khajehpour\u2010Tadavani","orcid":"https://orcid.org/0000-0002-1972-7440","observed_orcids":["https://orcid.org/0000-0002-1972-7440"]},"institutions":[{"id":"https://openalex.org/I4210103810","display_name":"Iran Polymer and Petrochemical Institute","ror":"https://ror.org/01a79sw46","country_code":"IR","type":"education","lineage":["https://openalex.org/I4210103810"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Soheyl Khajehpour\u2010Tadavani","raw_affiliation_strings":["Iran Polymer and Petrochemical Institute (IPPI) Tehran Iran"],"raw_orcid":"https://orcid.org/0000-0002-1972-7440","affiliations":[{"raw_affiliation_string":"Iran Polymer and Petrochemical Institute (IPPI) Tehran Iran","institution_ids":["https://openalex.org/I4210103810"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020643997","display_name":"Hossein Abedini","orcid":"https://orcid.org/0000-0002-9161-4651","observed_orcids":["https://orcid.org/0000-0002-9161-4651"]},"institutions":[{"id":"https://openalex.org/I4210103810","display_name":"Iran Polymer and Petrochemical Institute","ror":"https://ror.org/01a79sw46","country_code":"IR","type":"education","lineage":["https://openalex.org/I4210103810"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Hossein Abedini","raw_affiliation_strings":["Iran Polymer and Petrochemical Institute (IPPI) Tehran Iran"],"raw_orcid":"https://orcid.org/0000-0002-9161-4651","affiliations":[{"raw_affiliation_string":"Iran Polymer and Petrochemical Institute (IPPI) Tehran Iran","institution_ids":["https://openalex.org/I4210103810"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5020643997"],"corresponding_institution_ids":["https://openalex.org/I4210103810"],"apc_list":{"value":4430,"currency":"USD","value_usd":4430},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05999229,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.3752000033855438,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.3752000033855438,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12044","display_name":"Advanced Physical and Chemical Molecular Interactions","score":0.11509999632835388,"subfield":{"id":"https://openalex.org/subfields/1606","display_name":"Physical and Theoretical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10402","display_name":"Phase Equilibria and Thermodynamics","score":0.06400000303983688,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/monte-carlo-simulation","display_name":"Monte Carlo simulation","score":0.875},{"id":"https://openalex.org/keywords/suspension-polymerization","display_name":"suspension polymerization","score":0.7590000033378601},{"id":"https://openalex.org/keywords/particle-size-distribution","display_name":"particle size distribution","score":0.9470000267028809},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.6060000061988831},{"id":"https://openalex.org/keywords/combinatorial-methods","display_name":"combinatorial methods","score":0.8140000104904175}],"concepts":[{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6726999878883362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6358000040054321},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4681999981403351},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4408999979496002},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.42320001125335693},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.42170000076293945},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41119998693466187},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4023999869823456},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3677000105381012},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.30559998750686646},{"id":"https://openalex.org/C13153151","wikidata":"https://www.wikidata.org/wiki/Q1639846","display_name":"Hybrid Monte Carlo","level":4,"score":0.2989000082015991},{"id":"https://openalex.org/C37669827","wikidata":"https://www.wikidata.org/wiki/Q6904703","display_name":"Monte Carlo molecular modeling","level":4,"score":0.27959999442100525},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.27639999985694885},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C76969082","wikidata":"https://www.wikidata.org/wiki/Q486902","display_name":"Mathematical model","level":2,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/adts.202501987","doi":"https://doi.org/10.1002/adts.202501987","is_oa":false,"landing_page_url":"https://doi.org/10.1002/adts.202501987","pdf_url":null,"source":{"id":"https://openalex.org/S4210193742","display_name":"Advanced Theory and Simulations","issn_l":"2513-0390","issn":["2513-0390"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","jufo-1","norway-1","poland-20","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Theory and Simulations","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320328321","display_name":"Iran Polymer and Petrochemical Institute","ror":"https://ror.org/01a79sw46"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1540027411","https://openalex.org/W1998569210","https://openalex.org/W2015160280","https://openalex.org/W2094645050","https://openalex.org/W2147632348","https://openalex.org/W2162484733","https://openalex.org/W2320193837","https://openalex.org/W3008109149","https://openalex.org/W3016508225","https://openalex.org/W3024277345","https://openalex.org/W3143893444","https://openalex.org/W4241144702","https://openalex.org/W4249406688","https://openalex.org/W4292403327","https://openalex.org/W4400987378","https://openalex.org/W4412550724","https://openalex.org/W4414205161"],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"The":[1,69,147],"Monte":[2],"Carlo":[3],"(MC)":[4],"simulation":[5,158],"is":[6,31,63,75,106,152],"an":[7],"effective":[8],"technique":[9],"for":[10,85],"capturing":[11],"the":[12,52,95,121,127,137,153,182],"dynamic":[13,138],"evolution":[14,139],"of":[15,24,61,72,129,140,150,155],"Particulate\u2010Filled":[16],"Systems":[17],"(PFS),":[18],"as":[19,120],"it":[20],"allows":[21],"detailed":[22],"tracking":[23],"individual":[25],"droplet":[26,88],"histories.":[27],"This":[28,171],"flexible":[29],"method":[30],"widely":[32],"applied":[33],"across":[34],"many":[35],"fields":[36],"and,":[37],"owing":[38],"to":[39,76,98,113,119,135],"its":[40],"simple":[41],"implementation":[42],"and":[43],"robust":[44],"performance,":[45],"often":[46],"has":[47],"no":[48],"suitable":[49],"alternative.":[50],"However,":[51],"long":[53],"computational":[54,175],"time,":[55],"especially":[56],"when":[57],"a":[58,66,82,109,115,161],"large":[59,87,131],"number":[60],"droplets":[62],"simulated,":[64],"remains":[65],"significant":[67],"drawback.":[68],"primary":[70],"aim":[71],"this":[73,78],"study":[74],"address":[77],"limitation":[79],"by":[80],"introducing":[81],"novel":[83],"strategy":[84],"incorporating":[86],"populations":[89,134],"into":[90,160],"MC":[91,111,169],"simulations,":[92],"thereby":[93],"reducing":[94],"time":[96,176],"required":[97],"model":[99,112],"extensive":[100],"systems.":[101],"A":[102],"new":[103],"mathematical":[104],"procedure":[105],"combined":[107],"with":[108],"time\u2010increment":[110],"develop":[114],"hybrid":[116],"framework,":[117],"referred":[118],"Combinatorial":[122],"Approach":[123],"(CAx),":[124],"which":[125],"enables":[126],"use":[128],"sufficiently":[130],"initial":[132],"sample":[133],"predict":[136],"particle":[141],"size":[142],"distributions":[143],"in":[144,181],"suspension":[145],"polymerization.":[146],"key":[148],"feature":[149],"CAx":[151],"combination":[154],"multiple":[156],"distinct":[157],"runs":[159],"single":[162],"vector,":[163],"providing":[164],"higher":[165],"precision":[166],"than":[167],"conventional":[168],"simulations.":[170],"framework":[172],"significantly":[173],"reduces":[174],"while":[177],"maintaining":[178],"high":[179],"accuracy":[180],"predicted":[183],"results.":[184]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2026-02-03T00:00:00"}
