{"id":"https://openalex.org/W7128771625","doi":"https://doi.org/10.5281/zenodo.18461818","title":"Mixture of Inverse Gaussians for Hemodynamic Transport (MIGHT) in Multiple-Input Multiple-Output Vascular Networks","display_name":"Mixture of Inverse Gaussians for Hemodynamic Transport (MIGHT) in Multiple-Input Multiple-Output Vascular Networks","publication_year":2026,"publication_date":"2026-02-02","ids":{"openalex":"https://openalex.org/W7128771625","doi":"https://doi.org/10.5281/zenodo.18461818"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.18461818","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.18461818","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.18461818","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114534505","display_name":"Timo Jakumeit","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jakumeit, Timo","raw_affiliation_strings":["Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg"],"raw_orcid":"https://orcid.org/0009-0007-1527-0942","affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091926842","display_name":"Bastian Heinlein","orcid":"https://orcid.org/0000-0003-1246-7794"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]},{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Heinlein, Bastian","raw_affiliation_strings":["Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","Technical University of Darmstadt"],"raw_orcid":"https://orcid.org/0000-0003-1246-7794","affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Technical University of Darmstadt","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125964152","display_name":"Nunzio Tuccitto","orcid":null},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Tuccitto, Nunzio","raw_affiliation_strings":["University of Catania"],"raw_orcid":"https://orcid.org/0000-0003-4129-0406","affiliations":[{"raw_affiliation_string":"University of Catania","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125896466","display_name":"Robert Schober","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Schober, Robert","raw_affiliation_strings":["Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg"],"raw_orcid":"https://orcid.org/0000-0002-6420-4884","affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035817861","display_name":"Sebastian Lotter","orcid":"https://orcid.org/0000-0002-1922-2733"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lotter, Sebastian","raw_affiliation_strings":["Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg"],"raw_orcid":"https://orcid.org/0000-0002-1922-2733","affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5125937491","display_name":"Maximilian Sch\u00e4fer","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sch\u00e4fer, Maximilian","raw_affiliation_strings":["Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg"],"raw_orcid":"https://orcid.org/0000-0002-3332-4701","affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"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":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5339000225067139},{"id":"https://openalex.org/keywords/molecular-communication","display_name":"Molecular communication","score":0.5299000144004822},{"id":"https://openalex.org/keywords/inverse-gaussian-distribution","display_name":"Inverse Gaussian distribution","score":0.5091000199317932},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4853000044822693},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4562000036239624},{"id":"https://openalex.org/keywords/brownian-motion","display_name":"Brownian motion","score":0.4447000026702881},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.43939998745918274},{"id":"https://openalex.org/keywords/drag","display_name":"Drag","score":0.42100000381469727},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.38339999318122864},{"id":"https://openalex.org/keywords/fluid-dynamics","display_name":"Fluid dynamics","score":0.3716999888420105}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5406000018119812},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5339000225067139},{"id":"https://openalex.org/C2779767902","wikidata":"https://www.wikidata.org/wiki/Q17037278","display_name":"Molecular communication","level":4,"score":0.5299000144004822},{"id":"https://openalex.org/C132878287","wikidata":"https://www.wikidata.org/wiki/Q1671727","display_name":"Inverse Gaussian distribution","level":3,"score":0.5091000199317932},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.489300012588501},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4853000044822693},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.4571000039577484},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4562000036239624},{"id":"https://openalex.org/C112401455","wikidata":"https://www.wikidata.org/wiki/Q178036","display_name":"Brownian motion","level":2,"score":0.4447000026702881},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.43939998745918274},{"id":"https://openalex.org/C72921944","wikidata":"https://www.wikidata.org/wiki/Q206621","display_name":"Drag","level":2,"score":0.42100000381469727},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.38339999318122864},{"id":"https://openalex.org/C90278072","wikidata":"https://www.wikidata.org/wiki/Q216320","display_name":"Fluid dynamics","level":2,"score":0.3716999888420105},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.3617999851703644},{"id":"https://openalex.org/C76563973","wikidata":"https://www.wikidata.org/wiki/Q189452","display_name":"Laminar flow","level":2,"score":0.3612000048160553},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.35679998993873596},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3528999984264374},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.35199999809265137},{"id":"https://openalex.org/C108819105","wikidata":"https://www.wikidata.org/wiki/Q1143293","display_name":"Fractional Brownian motion","level":3,"score":0.34940001368522644},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.3483999967575073},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.34700000286102295},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.3262999951839447},{"id":"https://openalex.org/C114088122","wikidata":"https://www.wikidata.org/wiki/Q1261069","display_name":"Pressure drop","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.31859999895095825},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.3163999915122986},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3122999966144562},{"id":"https://openalex.org/C141123601","wikidata":"https://www.wikidata.org/wiki/Q6935072","display_name":"Multiscale modeling","level":2,"score":0.30880001187324524},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C1633027","wikidata":"https://www.wikidata.org/wiki/Q815820","display_name":"Computational fluid dynamics","level":2,"score":0.299699991941452},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.295199990272522},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.2773999869823456},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.27469998598098755},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C180925781","wikidata":"https://www.wikidata.org/wiki/Q514096","display_name":"Open-channel flow","level":3,"score":0.2728999853134155},{"id":"https://openalex.org/C500300565","wikidata":"https://www.wikidata.org/wiki/Q925667","display_name":"Computer simulation","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2639000117778778},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.25859999656677246},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.25529998540878296}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.18461818","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.18461818","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"Dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.18461818","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.18461818","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"Dataset"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1617124451","display_name":null,"funder_award_id":"101129618","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4281694788","display_name":"GRK 2950: Synthetische molekulare Kommunikation \u00fcber unterschiedliche Gr\u00f6\u00dfenordnungen: Von der Theorie bis zu Experimenten","funder_award_id":"509922606","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G8626284385","display_name":null,"funder_award_id":"16KIS1987","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0,39],"repository":[1],"contains":[2,472,520],"the":[3,10,26,30,37,50,69,185,212,261,266,285,288,296,320,328,378,383,468,473,493,507,528,535,550,555],"finite-element":[4,156,372],"simulations":[5,157,204,334,373,389],"used":[6,374],"for":[7,16,47,55,169,218,375,390,406,416,426,436,446,456,492,503,563,574],"validation":[8,376],"in":[9,20,60,68,79,159,171,208,234,240,284,316,327,377,382,410,420,430,440,450,460,464,506,522],"paper":[11,176,321,379],"\"Mixture":[12],"of":[13,29,36,44,86,181,188,230,319,467,498,530,552],"Inverse":[14,45],"Gaussians":[15,46],"Hemodynamic":[17,48],"Transport":[18],"(MIGHT)":[19],"Multiple-Input":[21],"Multiple-Output":[22],"Vascular":[23],"Networks\".":[24],"For":[25],"arXiv":[27],"Version":[28],"Paper:":[31,38],"click":[32],"here":[33],"Short":[34],"Description":[35],"work":[40],"introduces":[41],"MIGHT":[42],"(Mixture":[43],"Transport),":[49],"first":[51,516],"closed-form":[52],"analytical":[53],"model":[54,74,152,481],"advection-diffusion-driven":[56],"molecular":[57,199],"communication":[58],"(MC)":[59],"complex":[61,172],"vessel":[62,190],"networks":[63,102],"(VNs),":[64],"as":[65,133,135,164,184,260],"prevalent,":[66],"e.g.,":[67],"human":[70],"cardiovascular":[71],"system.":[72],"The":[73,175,228,386,515,524],"represents":[75],"spatiotemporal":[76],"molecule":[77],"transport":[78],"VNs":[80],"via":[81],"a":[82,104,109,113,165,281,342,352,490],"weighted":[83],"finite":[84],"sum":[85],"inverse":[87],"Gaussian":[88],"distributions":[89],"parameterized":[90],"by":[91],"physical":[92],"network":[93],"properties":[94],"and":[95,108,112,117,121,131,138,153,193,215,225,242,251,271,322,364,485],"supports":[96],"both":[97],"single-input,":[98],"single-output":[99],"(SISO)-VNs,":[100],"i.e.,":[101,125],"with":[103,127,147,222,255,351],"single":[105,110,114,118],"flow":[106,129,262],"inlet":[107],"outlet":[111],"transmitter":[115],"(Tx)":[116],"receiver":[119],"(Rx)":[120],"multiple-input,":[122],"multiple-output":[123],"(MIMO)-VNs,":[124],"topologies":[126],"multiple":[128,136,139,537],"inlets":[130],"outlets":[132],"well":[134],"Txs":[137],"Rxs.":[140],"Model":[141],"accuracy":[142],"is":[143,397,489,512],"validated":[144],"through":[145],"comparison":[146],"an":[148],"existing":[149],"convolution\u2011based":[150],"VN":[151,194,267,297,494,556],"three-dimensional":[154],"(3-D)":[155],"performed":[158],"COMSOL":[160,203,339,477],"Multiphysics\u00ae,":[161],"which":[162],"serve":[163],"numerical":[166],"\"ground":[167],"truth\"":[168],"MC":[170],"large-scale":[173],"VNs.":[174,393],"further":[177],"illustrates":[178],"exemplary":[179],"applications":[180],"MIGHT,":[182],"such":[183],"structural":[186],"reduction":[187],"VNs,":[189],"importance":[191],"analysis,":[192],"topology":[195],"estimation":[196],"from":[197],"observed":[198,499,531],"signals.":[200,245],"Simulation":[201],"Description:":[202,370],"were":[205,258,275,335],"carried":[206,336],"out":[207,337],"3-D":[209],"space,":[210],"using":[211,338],"Laminar":[213],"Flow":[214,220],"Particle":[216],"Tracing":[217],"Fluid":[219],"modules":[221],"Brownian":[223,231],"motion":[224,232],"drag":[226],"force.":[227],"inclusion":[229],"results":[233],"stochastic":[235],"particle":[236,292],"trajectories":[237],"and,":[238],"consequently,":[239],"noisy":[241],"fluctuating":[243],"received":[244],"Fully":[246],"Developed":[247],"Flow,":[248],"No":[249],"Slip,":[250],"zero":[252],"static":[253],"pressure":[254],"suppressed":[256],"backflow":[257],"assumed":[259],"boundary":[263,293],"conditions":[264],"at":[265,287,295,305,534],"inlets,":[268],"pipe":[269],"walls,":[270],"outlets,":[272,298],"respectively.":[273],"Particles":[274,559],"initially":[276],"randomly":[277],"distributed":[278],"according":[279],"to":[280,578],"uniform":[282],"distribution":[283,551],"cross-section":[286],"Tx(s)":[289],"position(s).":[290],"As":[291],"condition":[294],"disappear":[299],"was":[300,309],"selected.":[301],"A":[302],"physics-controlled":[303],"mesh":[304],"normal":[306],"element":[307],"size":[308],"used.":[310],"Exact":[311],"parameter":[312],"values":[313],"are":[314,380,561],"given":[315],"Section":[317],"III-E":[318],"can":[323],"also":[324],"be":[325],"found":[326],"simulation":[329,478],"files":[330,405,415,425,435,445,455],"provided":[331,381],"below.":[332],"All":[333,371],"6.1":[340],"on":[341],"Windows":[343],"desktop":[344],"PC":[345],"(Dell":[346],"OptiPlex":[347],"7400":[348],"AIO)":[349],"equipped":[350],"12th":[353],"Gen":[354],"Intel(R)":[355],"Core(TM)":[356],"i9-12900":[357],"processor":[358],"(2.40":[359],"GHz),":[360],"32":[361],"GB":[362],"RAM,":[363],"1.86":[365],"TB":[366],"SSD":[367],"storage.":[368],"Data":[369],"file":[384,479,511],"MIGHT_COMSOL_simulations.zip.":[385],"data":[387],"includes":[388],"six":[391,400,469],"different":[392],"Top-Level":[394,465],"Folders:The":[395],"dataset":[396],"divided":[398],"into":[399],"main":[401],"folders:":[402],"VN_1:":[403],"Contains":[404,414,424,434,444,454],"SISO-VN":[407,417,427],"1":[408],"shown":[409,419,429,439,449,459],"Fig.":[411,421,431,441,451,461],"3a-1).":[412],"VN_2:":[413],"2":[418],"3a-2).":[422],"VN_3:":[423],"3":[428],"3a-3).":[432],"VN_4:":[433],"MIMO-VN":[437,447,457],"4":[438],"3b-4).":[442],"VN_5:":[443],"5":[448],"3b-5).":[452],"VN_6:":[453],"6":[458],"3b-6).":[462],"Files":[463],"Folders:Each":[466],"top-level":[470],"folders":[471],"following":[474],"files:":[475],"VN_X.mph:":[476],"containing":[480],"parameters,":[482],"geometry,":[483],"studies,":[484],"results.":[486],"Here,":[487],"\"X\"":[488],"placeholder":[491],"number.":[495],"VN_X_COMSOL_received_signals.csv:":[496],"Number":[497],"molecules":[500,532],"over":[501,557],"time":[502,521],"all":[504],"Rxs":[505,538],"simulation.":[508],"Each":[509],".csv":[510],"comma":[513],"separated.":[514],"column,":[517],"named":[518,543],"t,":[519],"seconds.":[523],"subsequent":[525],"columns":[526],"contain":[527],"number":[529],"(unitless)":[533],"potentially":[536],"(one":[539],"column":[540],"per":[541],"Rx,":[542],"N_Rx1(t),":[544],"N_Rx2(t),":[545],"...).":[546],"VN_X_particle_trajectories.gif:":[547],"Gif":[548],"showing":[549],"particles":[553],"throughout":[554],"time.":[558],"sizes":[560],"magnified":[562],"better":[564],"visibility.":[565],"Contact:":[566],"If":[567],"you":[568],"have":[569],"any":[570],"questions":[571],"or":[572],"suggestions":[573],"improvements,":[575],"feel":[576],"free":[577],"contact":[579],"us:":[580],"Timo":[581],"Jakumeit":[582],"(timo.jakumeit@fau.de)":[583],"Bastian":[584],"Heinlein":[585],"(bastian.heinlein@fau.de)":[586],"Maximilian":[587],"Sch\u00e4fer":[588],"(max.schaefer@fau.de)":[589]},"counts_by_year":[],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2026-02-14T00:00:00"}