{"id":"https://openalex.org/W3003908413","doi":"https://doi.org/10.24963/ijcai.2021/293","title":"Simulation of Electron-Proton Scattering Events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN)","display_name":"Simulation of Electron-Proton Scattering Events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN)","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3003908413","doi":"https://doi.org/10.24963/ijcai.2021/293","mag":"3003908413"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2021/293","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/293","pdf_url":"https://www.ijcai.org/proceedings/2021/0293.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2021/0293.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020523339","display_name":"Yasir Alanazi","orcid":"https://orcid.org/0000-0002-4677-5018"},"institutions":[{"id":"https://openalex.org/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yasir Alanazi","raw_affiliation_strings":["Old Dominion University, Norfolk, Virginia"],"affiliations":[{"raw_affiliation_string":"Old Dominion University, Norfolk, Virginia","institution_ids":["https://openalex.org/I81365321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017193245","display_name":"N. Sato","orcid":"https://orcid.org/0000-0002-1535-6208"},"institutions":[{"id":"https://openalex.org/I29801172","display_name":"Thomas Jefferson National Accelerator Facility","ror":"https://ror.org/02vwzrd76","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I29801172","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nobuo Sato","raw_affiliation_strings":["Jefferson Lab, Newport News, Virginia"],"affiliations":[{"raw_affiliation_string":"Jefferson Lab, Newport News, Virginia","institution_ids":["https://openalex.org/I29801172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063144565","display_name":"Tianbo Liu","orcid":"https://orcid.org/0000-0002-4276-0599"},"institutions":[{"id":"https://openalex.org/I29801172","display_name":"Thomas Jefferson National Accelerator Facility","ror":"https://ror.org/02vwzrd76","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I29801172","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianbo Liu","raw_affiliation_strings":["Jefferson Lab, Newport News, Virginia"],"affiliations":[{"raw_affiliation_string":"Jefferson Lab, Newport News, Virginia","institution_ids":["https://openalex.org/I29801172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084803146","display_name":"Wally Melnitchouk","orcid":"https://orcid.org/0000-0002-9521-5973"},"institutions":[{"id":"https://openalex.org/I29801172","display_name":"Thomas Jefferson National Accelerator Facility","ror":"https://ror.org/02vwzrd76","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I29801172","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wally Melnitchouk","raw_affiliation_strings":["Jefferson Lab, Newport News, Virginia"],"affiliations":[{"raw_affiliation_string":"Jefferson Lab, Newport News, Virginia","institution_ids":["https://openalex.org/I29801172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012812542","display_name":"P. Ambrozewicz","orcid":"https://orcid.org/0000-0001-9128-9441"},"institutions":[{"id":"https://openalex.org/I29801172","display_name":"Thomas Jefferson National Accelerator Facility","ror":"https://ror.org/02vwzrd76","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I29801172","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pawel Ambrozewicz","raw_affiliation_strings":["Jefferson Lab, Newport News, Virginia"],"affiliations":[{"raw_affiliation_string":"Jefferson Lab, Newport News, Virginia","institution_ids":["https://openalex.org/I29801172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064191513","display_name":"F. Hauenstein","orcid":"https://orcid.org/0000-0002-1265-2212"},"institutions":[{"id":"https://openalex.org/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Florian Hauenstein","raw_affiliation_strings":["Old Dominion University, Norfolk, Virginia"],"affiliations":[{"raw_affiliation_string":"Old Dominion University, Norfolk, Virginia","institution_ids":["https://openalex.org/I81365321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058694585","display_name":"Michelle Kuchera","orcid":"https://orcid.org/0000-0002-9735-6147"},"institutions":[{"id":"https://openalex.org/I141720752","display_name":"Davidson College","ror":"https://ror.org/02f7k4z58","country_code":"US","type":"education","lineage":["https://openalex.org/I141720752"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michelle P. Kuchera","raw_affiliation_strings":["Davidson College, Davidson, North Carolina","DAVIDSON COLLEGE</br>Davidson, North Carolina"],"affiliations":[{"raw_affiliation_string":"Davidson College, Davidson, North Carolina","institution_ids":["https://openalex.org/I141720752"]},{"raw_affiliation_string":"DAVIDSON COLLEGE</br>Davidson, North Carolina","institution_ids":["https://openalex.org/I141720752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113893809","display_name":"Evan Pritchard","orcid":null},"institutions":[{"id":"https://openalex.org/I141720752","display_name":"Davidson College","ror":"https://ror.org/02f7k4z58","country_code":"US","type":"education","lineage":["https://openalex.org/I141720752"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Evan Pritchard","raw_affiliation_strings":["Davidson College, Davidson, North Carolina","DAVIDSON COLLEGE</br>Davidson, North Carolina"],"affiliations":[{"raw_affiliation_string":"Davidson College, Davidson, North Carolina","institution_ids":["https://openalex.org/I141720752"]},{"raw_affiliation_string":"DAVIDSON COLLEGE</br>Davidson, North Carolina","institution_ids":["https://openalex.org/I141720752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103027126","display_name":"M. Robertson","orcid":"https://orcid.org/0000-0002-0176-7356"},"institutions":[{"id":"https://openalex.org/I141720752","display_name":"Davidson College","ror":"https://ror.org/02f7k4z58","country_code":"US","type":"education","lineage":["https://openalex.org/I141720752"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Robertson","raw_affiliation_strings":["Davidson College, Davidson, North Carolina","DAVIDSON COLLEGE</br>Davidson, North Carolina"],"affiliations":[{"raw_affiliation_string":"Davidson College, Davidson, North Carolina","institution_ids":["https://openalex.org/I141720752"]},{"raw_affiliation_string":"DAVIDSON COLLEGE</br>Davidson, North Carolina","institution_ids":["https://openalex.org/I141720752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071146382","display_name":"Ryan R. Strauss","orcid":"https://orcid.org/0000-0001-5179-665X"},"institutions":[{"id":"https://openalex.org/I141720752","display_name":"Davidson College","ror":"https://ror.org/02f7k4z58","country_code":"US","type":"education","lineage":["https://openalex.org/I141720752"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan Strauss","raw_affiliation_strings":["Davidson College, Davidson, North Carolina","DAVIDSON COLLEGE</br>Davidson, North Carolina"],"affiliations":[{"raw_affiliation_string":"Davidson College, Davidson, North Carolina","institution_ids":["https://openalex.org/I141720752"]},{"raw_affiliation_string":"DAVIDSON COLLEGE</br>Davidson, North Carolina","institution_ids":["https://openalex.org/I141720752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045073576","display_name":"Luisa Velasco","orcid":null},"institutions":[{"id":"https://openalex.org/I182980787","display_name":"University of Dallas","ror":"https://ror.org/00v3ak792","country_code":"US","type":"education","lineage":["https://openalex.org/I182980787"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luisa Velasco","raw_affiliation_strings":["University of Dallas, Irving, Texas","University of Dallas , Irving, Texas"],"affiliations":[{"raw_affiliation_string":"University of Dallas, Irving, Texas","institution_ids":["https://openalex.org/I182980787"]},{"raw_affiliation_string":"University of Dallas , Irving, Texas","institution_ids":["https://openalex.org/I182980787"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079316675","display_name":"Yaohang Li","orcid":"https://orcid.org/0000-0003-0178-1876"},"institutions":[{"id":"https://openalex.org/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaohang Li","raw_affiliation_strings":["Old Dominion University, Norfolk, Virginia"],"affiliations":[{"raw_affiliation_string":"Old Dominion University, Norfolk, Virginia","institution_ids":["https://openalex.org/I81365321"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5020523339"],"corresponding_institution_ids":["https://openalex.org/I81365321"],"apc_list":null,"apc_paid":null,"fwci":3.5428,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.95410533,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2126","last_page":"2132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10048","display_name":"Particle physics theoretical and experimental studies","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"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/T10048","display_name":"Particle physics theoretical and experimental studies","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9735000133514404,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9693999886512756,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.8105707168579102},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6027730703353882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5668396949768066},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.5615456700325012},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5502394437789917},{"id":"https://openalex.org/keywords/electron","display_name":"Electron","score":0.507780134677887},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4901779294013977},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48487767577171326},{"id":"https://openalex.org/keywords/event-generator","display_name":"Event generator","score":0.48069125413894653},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.44975584745407104},{"id":"https://openalex.org/keywords/proton","display_name":"Proton","score":0.4243162274360657},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.4088650941848755},{"id":"https://openalex.org/keywords/computational-physics","display_name":"Computational physics","score":0.3516821265220642},{"id":"https://openalex.org/keywords/particle-physics","display_name":"Particle physics","score":0.321677029132843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.292885959148407},{"id":"https://openalex.org/keywords/nuclear-physics","display_name":"Nuclear physics","score":0.23725548386573792},{"id":"https://openalex.org/keywords/large-hadron-collider","display_name":"Large Hadron Collider","score":0.20023953914642334},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.15457558631896973},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.1416873335838318},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0788428783416748}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8105707168579102},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6027730703353882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5668396949768066},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.5615456700325012},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5502394437789917},{"id":"https://openalex.org/C147120987","wikidata":"https://www.wikidata.org/wiki/Q2225","display_name":"Electron","level":2,"score":0.507780134677887},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4901779294013977},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48487767577171326},{"id":"https://openalex.org/C2779261216","wikidata":"https://www.wikidata.org/wiki/Q5416720","display_name":"Event generator","level":3,"score":0.48069125413894653},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.44975584745407104},{"id":"https://openalex.org/C54516573","wikidata":"https://www.wikidata.org/wiki/Q2294","display_name":"Proton","level":2,"score":0.4243162274360657},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.4088650941848755},{"id":"https://openalex.org/C30475298","wikidata":"https://www.wikidata.org/wiki/Q909554","display_name":"Computational physics","level":1,"score":0.3516821265220642},{"id":"https://openalex.org/C109214941","wikidata":"https://www.wikidata.org/wiki/Q18334","display_name":"Particle physics","level":1,"score":0.321677029132843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.292885959148407},{"id":"https://openalex.org/C185544564","wikidata":"https://www.wikidata.org/wiki/Q81197","display_name":"Nuclear physics","level":1,"score":0.23725548386573792},{"id":"https://openalex.org/C87668248","wikidata":"https://www.wikidata.org/wiki/Q40605","display_name":"Large Hadron Collider","level":2,"score":0.20023953914642334},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.15457558631896973},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.1416873335838318},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0788428783416748},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.24963/ijcai.2021/293","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/293","pdf_url":"https://www.ijcai.org/proceedings/2021/0293.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2001.11103","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.11103","pdf_url":"https://arxiv.org/pdf/2001.11103","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3003908413","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2001.11103.pdf","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:digitalcommons.odu.edu:computerscience_fac_pubs-1368","is_oa":false,"landing_page_url":"https://digitalcommons.odu.edu/computerscience_fac_pubs/363","pdf_url":null,"source":{"id":"https://openalex.org/S4377196314","display_name":"ODU Digital Commons (Old Dominion University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I81365321","host_organization_name":"Old Dominion University","host_organization_lineage":["https://openalex.org/I81365321"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computer Science Faculty Publications","raw_type":"conference"},{"id":"pmh:oai:osti.gov:1907440","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1907440","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"doi:10.48550/arxiv.2001.11103","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2001.11103","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":"article-journal"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2021/293","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/293","pdf_url":"https://www.ijcai.org/proceedings/2021/0293.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7200000286102295}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337547","display_name":"Laboratory Directed Research and Development","ror":"https://ror.org/01e41cf67"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3003908413.pdf","grobid_xml":"https://content.openalex.org/works/W3003908413.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1523567099","https://openalex.org/W1710476689","https://openalex.org/W1993447515","https://openalex.org/W2016801295","https://openalex.org/W2099471712","https://openalex.org/W2155113454","https://openalex.org/W2163097950","https://openalex.org/W2336394773","https://openalex.org/W2432004435","https://openalex.org/W2559110679","https://openalex.org/W2605135824","https://openalex.org/W2614083378","https://openalex.org/W2617322972","https://openalex.org/W2632772789","https://openalex.org/W2728024376","https://openalex.org/W2739988885","https://openalex.org/W2775970449","https://openalex.org/W2798474886","https://openalex.org/W2805508261","https://openalex.org/W2909775062","https://openalex.org/W2950536412","https://openalex.org/W2951453584","https://openalex.org/W2956718876","https://openalex.org/W2964201867","https://openalex.org/W2976617189","https://openalex.org/W3037567775","https://openalex.org/W3098389423","https://openalex.org/W3101355774","https://openalex.org/W3103963833","https://openalex.org/W3105020119","https://openalex.org/W3170550558"],"related_works":["https://openalex.org/W3103963833","https://openalex.org/W2956718876","https://openalex.org/W3004387786","https://openalex.org/W3098353287","https://openalex.org/W2951453584","https://openalex.org/W2909775062","https://openalex.org/W3098389423","https://openalex.org/W2997966390","https://openalex.org/W3105020119","https://openalex.org/W3101355774","https://openalex.org/W3101164173","https://openalex.org/W3098104467","https://openalex.org/W2992005611","https://openalex.org/W2962813633","https://openalex.org/W2852068008","https://openalex.org/W2805508261","https://openalex.org/W3130684139","https://openalex.org/W2963090522","https://openalex.org/W2728024376","https://openalex.org/W2614083378"],"abstract_inverted_index":{"We":[0,52],"apply":[1],"generative":[2],"adversarial":[3],"network":[4],"(GAN)":[5],"technology":[6,126],"to":[7,77,100],"build":[8],"an":[9],"event":[10,36],"generator":[11],"that":[12,19,56,66,84],"simulates":[13],"particle":[14,27,64],"production":[15],"in":[16,39,110,132],"electron-proton":[17],"scattering":[18],"is":[20,98],"free":[21],"of":[22,31,44,47,60,81,88,105,136],"theoretical":[23,122],"assumptions":[24],"about":[25],"underlying":[26],"dynamics.":[28],"The":[29,91,124],"difficulty":[30],"efficiently":[32],"training":[33],"a":[34,54,58,79,129],"GAN":[35,55,96],"simulator":[37],"lies":[38],"learning":[40],"the":[41,45,48,72,86,89,103,115,134,144],"complicated":[42],"patterns":[43],"distributions":[46],"particles":[49],"physical":[50],"properties.":[51],"develop":[53],"selects":[57],"set":[59,80],"transformed":[61],"features":[62,83],"from":[63,120],"momenta":[65,109],"can":[67,127],"be":[68],"generated":[69],"easily":[70],"by":[71],"generator,":[73],"and":[74,94,138],"uses":[75],"these":[76],"produce":[78],"augmented":[82],"improve":[85],"sensitivity":[87],"discriminator.":[90],"new":[92],"Feature-Augmented":[93],"Transformed":[95],"(FAT-GAN)":[97],"able":[99],"faithfully":[101],"reproduce":[102],"distribution":[104],"final":[106],"state":[107],"electron":[108,112],"inclusive":[111],"scattering,":[113],"without":[114],"need":[116],"for":[117],"input":[118],"derived":[119],"domain-based":[121],"assumptions.":[123],"developed":[125],"play":[128],"significant":[130],"role":[131],"boosting":[133],"science":[135],"existing":[137],"future":[139],"accelerator":[140],"facilities,":[141],"such":[142],"as":[143],"Electron-Ion":[145],"Collider.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}