{"id":"https://openalex.org/W7083000883","doi":"https://doi.org/10.5281/zenodo.17183774","title":"Interpretable Neural System Dynamics: Combining Deep Learning with System Dynamics Modeling to Support Critical Applications","display_name":"Interpretable Neural System Dynamics: Combining Deep Learning with System Dynamics Modeling to Support Critical Applications","publication_year":2025,"publication_date":"2025-08-27","ids":{"openalex":"https://openalex.org/W7083000883","doi":"https://doi.org/10.5281/zenodo.17183774"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.17183774","doi":"https://doi.org/10.5281/zenodo.17183774","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.17183774","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,"listed_in":[],"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":"article"},"volume":null,"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.17183774","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119934059","display_name":"Riccardo D'Elia","orcid":"https://orcid.org/0009-0009-6172-4049","observed_orcids":["https://orcid.org/0009-0009-6172-4049"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Riccardo D'Elia","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0009-6172-4049","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5119934059"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36731513,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9883000254631042,"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"}},"topics":[{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9883000254631042,"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/T11810","display_name":"Complex Systems and Decision Making","score":0.008100000210106373,"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/T13286","display_name":"Modeling and Simulation Systems","score":0.0003000000142492354,"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/system-dynamics-modeling","display_name":"system dynamics modeling","score":0.8450000286102295},{"id":"https://openalex.org/keywords/interpretability","display_name":"interpretability","score":0.7099999785423279},{"id":"https://openalex.org/keywords/mechanistic-interpretability","display_name":"mechanistic interpretability","score":0.9039999842643738},{"id":"https://openalex.org/keywords/causal-machine-learning","display_name":"causal machine learning","score":0.9940000176429749},{"id":"https://openalex.org/keywords/multimodal-transport","display_name":"multimodal transport","score":0.7400000095367432},{"id":"https://openalex.org/keywords/autonomous-vehicles","display_name":"autonomous vehicles","score":0.4050000011920929},{"id":"https://openalex.org/keywords/safety","display_name":"safety","score":0.39800000190734863}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9635000228881836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7545999884605408},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6751000285148621},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6489999890327454},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6434000134468079},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5426999926567078},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5360000133514404},{"id":"https://openalex.org/C77405623","wikidata":"https://www.wikidata.org/wiki/Q598451","display_name":"System dynamics","level":2,"score":0.4932999908924103},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.47839999198913574},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4465000033378601},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42239999771118164},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4147999882698059},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.3874000012874603},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.36079999804496765},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.3203999996185303},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.29580000042915344},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2775000035762787},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C50897621","wikidata":"https://www.wikidata.org/wiki/Q2665508","display_name":"Hybrid system","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2662000060081482},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C9628104","wikidata":"https://www.wikidata.org/wiki/Q788009","display_name":"Autonomous system (mathematics)","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.2506999969482422}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.17183774","doi":"https://doi.org/10.5281/zenodo.17183774","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.17183774","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,"listed_in":[],"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":"article"},{"id":"doi:10.5281/zenodo.17183775","doi":"https://doi.org/10.5281/zenodo.17183775","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.17183775","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,"listed_in":[],"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":"article"}],"best_oa_location":{"id":"doi:10.5281/zenodo.17183774","doi":"https://doi.org/10.5281/zenodo.17183774","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.17183774","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,"listed_in":[],"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":"article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4052503705024719}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"The":[1,109,134],"objective":[2],"of":[3,93,98,111,121,146],"this":[4,70],"proposal":[5],"is":[6,127,137],"to":[7,138],"bridge":[8],"the":[9,48,90,96,112,122,144],"gap":[10],"between":[11],"Deep":[12],"Learning":[13],"(DL)":[14],"and":[15,34,41,53,61,83,107,148],"System":[16,75],"Dynamics":[17,76],"(SD)":[18],"by":[19],"developing":[20],"an":[21],"interpretable":[22],"neural":[23],"system":[24],"dynamics":[25],"framework.":[26],"While":[27],"DL":[28,94],"excels":[29],"at":[30],"learning":[31],"complex":[32],"models":[33],"making":[35],"accurate":[36],"predictions,":[37],"it":[38],"lacks":[39],"interpretability":[40,97],"causal":[42,54,105],"reliability.":[43],"Traditional":[44],"SD":[45,100],"approaches,":[46],"on":[47,129],"other":[49],"hand,":[50],"provide":[51],"transparency":[52],"insights":[55,141],"but":[56],"are":[57],"limited":[58],"in":[59,103,150],"scalability":[60],"require":[62],"extensive":[63],"domain":[64],"knowledge.":[65],"To":[66],"overcome":[67],"these":[68],"limitations,":[69],"project":[71],"introduces":[72],"a":[73],"Neural":[74],"pipeline,":[77],"integrating":[78],"Concept-Based":[79],"Interpretability,":[80,82],"Mechanistic":[81],"Causal":[84],"Machine":[85],"Learning.":[86],"This":[87],"framework":[88],"combines":[89],"predictive":[91],"power":[92],"with":[95],"traditional":[99],"models,":[101],"resulting":[102],"both":[104],"reliability":[106],"scalability.":[108],"efficacy":[110],"proposed":[113],"pipeline":[114],"will":[115],"be":[116],"validated":[117],"through":[118],"real-world":[119],"applications":[120],"EU-funded":[123],"AutoMoTIF":[124],"project,":[125],"which":[126],"focused":[128],"autonomous":[130,151],"multimodal":[131],"transportation":[132],"systems.":[133,152],"long-term":[135],"goal":[136],"collect":[139],"actionable":[140],"that":[142],"support":[143],"integration":[145],"explainability":[147],"safety":[149]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}
