{"id":"https://openalex.org/W4406458702","doi":"https://doi.org/10.1109/bigdata62323.2024.10825168","title":"Modeling Lunar Surface Charging Using Physics-Informed Neural Networks","display_name":"Modeling Lunar Surface Charging Using Physics-Informed Neural Networks","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406458702","doi":"https://doi.org/10.1109/bigdata62323.2024.10825168"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5024684514","display_name":"Niloofar Zendehdel","orcid":"https://orcid.org/0000-0003-0214-6946"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Niloofar Zendehdel","raw_affiliation_strings":["Missouri University of Science & Technology,Mechanical & Aerospace Eng. Dept.,Rolla,USA"],"affiliations":[{"raw_affiliation_string":"Missouri University of Science & Technology,Mechanical & Aerospace Eng. Dept.,Rolla,USA","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036236072","display_name":"Adib Mosharrof","orcid":"https://orcid.org/0000-0002-8960-8455"},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adib Mosharrof","raw_affiliation_strings":["University of Kentucky,Dept. of Computer Science,Lexington,USA"],"affiliations":[{"raw_affiliation_string":"University of Kentucky,Dept. of Computer Science,Lexington,USA","institution_ids":["https://openalex.org/I143302722"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Katherine Delgado","orcid":null},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Katherine Delgado","raw_affiliation_strings":["University of Kentucky,Dept. of Computer Science,Lexington,USA"],"affiliations":[{"raw_affiliation_string":"University of Kentucky,Dept. of Computer Science,Lexington,USA","institution_ids":["https://openalex.org/I143302722"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007740434","display_name":"Daoru Han","orcid":"https://orcid.org/0000-0001-6186-1777"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daoru Han","raw_affiliation_strings":["Missouri University of Science & Technology,Mechanical & Aerospace Eng. Dept.,Rolla,USA"],"affiliations":[{"raw_affiliation_string":"Missouri University of Science & Technology,Mechanical & Aerospace Eng. Dept.,Rolla,USA","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103064768","display_name":"Xin Liang","orcid":"https://orcid.org/0000-0002-0630-1600"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Liang","raw_affiliation_strings":["Missouri University of Science & Technology,Mechanical & Aerospace Engr. Dept.,Rolla,USA"],"affiliations":[{"raw_affiliation_string":"Missouri University of Science & Technology,Mechanical & Aerospace Engr. Dept.,Rolla,USA","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103106461","display_name":"Tong Shu","orcid":"https://orcid.org/0000-0001-5952-3090"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tong Shu","raw_affiliation_strings":["University of North Texas,Dept. of Computer Science & Engr.,Denton,USA"],"affiliations":[{"raw_affiliation_string":"University of North Texas,Dept. of Computer Science & Engr.,Denton,USA","institution_ids":["https://openalex.org/I123534392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5024684514"],"corresponding_institution_ids":["https://openalex.org/I20382870"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18388714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4269","last_page":"4274"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10406","display_name":"Planetary Science and Exploration","score":0.9815000295639038,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10406","display_name":"Planetary Science and Exploration","score":0.9815000295639038,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12560","display_name":"Nuclear Engineering Thermal-Hydraulics","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13200","display_name":"Spacecraft and Cryogenic Technologies","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/artificial-neural-network","display_name":"Artificial neural network","score":0.5661035776138306},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4549117386341095},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.4092593193054199},{"id":"https://openalex.org/keywords/astrobiology","display_name":"Astrobiology","score":0.4035482704639435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1853458285331726}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5661035776138306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4549117386341095},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.4092593193054199},{"id":"https://openalex.org/C87355193","wikidata":"https://www.wikidata.org/wiki/Q411","display_name":"Astrobiology","level":1,"score":0.4035482704639435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1853458285331726}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320310911","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1504175299","https://openalex.org/W1522301498","https://openalex.org/W1994616650","https://openalex.org/W1996300129","https://openalex.org/W2158985775","https://openalex.org/W2899283552","https://openalex.org/W3128677416","https://openalex.org/W3163993681","https://openalex.org/W3164008977","https://openalex.org/W3176907854","https://openalex.org/W3216718982","https://openalex.org/W4224218667","https://openalex.org/W4281486050","https://openalex.org/W4288039037","https://openalex.org/W4309548460","https://openalex.org/W4400657196","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2935759653","https://openalex.org/W3105167352","https://openalex.org/W54078636","https://openalex.org/W2954470139","https://openalex.org/W1501425562","https://openalex.org/W2902782467","https://openalex.org/W3084825885"],"abstract_inverted_index":{"Modeling":[0],"the":[1,6,18,65,72,100,105,110],"electric":[2,106],"potential":[3,107],"profile":[4,108],"above":[5,109],"lunar":[7,111],"surface":[8,13],"is":[9],"critical":[10],"for":[11],"understanding":[12],"charging":[14],"and":[15,52],"interactions":[16],"with":[17,114],"space":[19],"environment.":[20],"Traditional":[21],"methods":[22,90],"like":[23],"Particle-in-Cell":[24],"(PIC)":[25],"simulations":[26],"are":[27],"highly":[28],"accurate":[29],"but":[30],"computationally":[31],"expensive.":[32],"To":[33],"address":[34],"this,":[35],"we":[36],"propose":[37],"a":[38,42,81],"hybrid":[39],"approach":[40],"using":[41],"Multi-Layer":[43],"Perceptron":[44],"(MLP)":[45],"architecture":[46],"in":[47,84],"both":[48],"data-driven":[49,73],"neural":[50],"networks":[51],"Physics-Informed":[53],"Neural":[54],"Networks":[55],"(PINNs).":[56],"The":[57],"PINN":[58],"component":[59,74],"incorporates":[60],"physical":[61,69],"laws":[62],"directly":[63],"into":[64],"training":[66],"process,":[67],"ensuring":[68],"consistency,":[70],"while":[71,91],"captures":[75],"complex":[76],"patterns.":[77],"This":[78],"combination":[79],"offers":[80],"significant":[82],"reduction":[83],"computational":[85],"cost":[86],"compared":[87],"to":[88],"PIC":[89],"maintaining":[92],"high":[93],"modeling":[94],"accuracy.":[95],"Our":[96],"results":[97],"show":[98],"that":[99],"proposed":[101],"method":[102],"effectively":[103],"represents":[104],"surface,":[112],"even":[113],"limited":[115],"data.":[116]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}