{"id":"https://openalex.org/W7106719012","doi":"https://doi.org/10.48550/arxiv.2511.17680","title":"Research and Prototyping Study of an LLM-Based Chatbot for Electromagnetic Simulations","display_name":"Research and Prototyping Study of an LLM-Based Chatbot for Electromagnetic Simulations","publication_year":2025,"publication_date":"2025-11-21","ids":{"openalex":"https://openalex.org/W7106719012","doi":"https://doi.org/10.48550/arxiv.2511.17680"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2511.17680","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.17680","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2511.17680","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Piwonski, Albert","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Piwonski, Albert","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Had\u017eiefendi\u0107, Mirsad","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Had\u017eiefendi\u0107, Mirsad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.12290000170469284,"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/T12128","display_name":"AI in Service Interactions","score":0.12290000170469284,"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/T13650","display_name":"Computational Physics and Python Applications","score":0.10450000315904617,"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/T10278","display_name":"Electric Motor Design and Analysis","score":0.02370000071823597,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/workflow","display_name":"Workflow","score":0.7626000046730042},{"id":"https://openalex.org/keywords/chatbot","display_name":"Chatbot","score":0.699400007724762},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.598800003528595},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4684999883174896},{"id":"https://openalex.org/keywords/rapid-prototyping","display_name":"Rapid prototyping","score":0.3714999854564667},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.35510000586509705},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.32339999079704285}],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7626000046730042},{"id":"https://openalex.org/C2779041454","wikidata":"https://www.wikidata.org/wiki/Q870780","display_name":"Chatbot","level":2,"score":0.699400007724762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6521999835968018},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.598800003528595},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4684999883174896},{"id":"https://openalex.org/C2780395129","wikidata":"https://www.wikidata.org/wiki/Q1128971","display_name":"Rapid prototyping","level":2,"score":0.3714999854564667},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.35510000586509705},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3424000144004822},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.32339999079704285},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.3176000118255615},{"id":"https://openalex.org/C128644962","wikidata":"https://www.wikidata.org/wiki/Q683111","display_name":"Visual programming language","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29030001163482666},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2856999933719635},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27810001373291016},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.27549999952316284},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C2781249610","wikidata":"https://www.wikidata.org/wiki/Q782397","display_name":"AutoLISP","level":2,"score":0.25450000166893005},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.25}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2511.17680","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.17680","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2511.17680","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.17680","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"work":[1],"addresses":[2],"the":[3,15,35,50,81,119],"question":[4],"of":[5,38,92,109],"how":[6],"generative":[7],"artificial":[8],"intelligence":[9],"can":[10,99],"be":[11],"used":[12,74],"to":[13,18,75],"reduce":[14],"time":[16],"required":[17],"set":[19],"up":[20],"electromagnetic":[21],"simulation":[22,39,113],"models.":[23],"A":[24,45],"chatbot":[25],"based":[26,48],"on":[27,49],"a":[28,106],"large":[29,51],"language":[30,52],"model":[31,53,110],"is":[32,73],"presented,":[33],"enabling":[34],"automated":[36],"generation":[37],"models":[40,67],"with":[41,89],"various":[42],"functional":[43,116],"enhancements.":[44],"chatbot-driven":[46],"workflow":[47,82],"Google":[54],"Gemini":[55],"2.0":[56],"Flash":[57],"automatically":[58],"generates":[59],"and":[60,70,77,95,104,112,123],"solves":[61],"two-dimensional":[62],"finite":[63],"element":[64],"eddy":[65],"current":[66],"using":[68],"Gmsh":[69],"GetDP.":[71],"Python":[72],"coordinate":[76],"automate":[78],"interactions":[79],"between":[80],"components.":[83],"The":[84],"study":[85],"considers":[86],"conductor":[87],"geometries":[88],"circular":[90],"cross-sections":[91],"variable":[93],"position":[94],"number.":[96],"Additionally,":[97],"users":[98],"define":[100],"custom":[101],"post-processing":[102],"routines":[103],"receive":[105],"concise":[107],"summary":[108],"information":[111],"results.":[114],"Each":[115],"enhancement":[117],"includes":[118],"corresponding":[120],"architectural":[121],"modifications":[122],"illustrative":[124],"case":[125],"studies.":[126]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-11-27T00:00:00"}