{"id":"https://openalex.org/W7204258624","doi":"https://doi.org/10.2139/ssrn.7355982","title":"Spatio-temporal Forecasting of Plasma Etch Profiles via Physics-informed Deep Learning","display_name":"Spatio-temporal Forecasting of Plasma Etch Profiles via Physics-informed Deep Learning","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7204258624","doi":"https://doi.org/10.2139/ssrn.7355982"},"language":"en","primary_location":{"id":"doi:10.2139/ssrn.7355982","doi":"https://doi.org/10.2139/ssrn.7355982","is_oa":true,"landing_page_url":"https://doi.org/10.2139/ssrn.7355982","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2139/ssrn.7355982","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078710992","display_name":"Chih-Yu Lai","orcid":"https://orcid.org/0000-0001-5789-4234","observed_orcids":["https://orcid.org/0000-0001-5789-4234"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chih-Yu  (Andrew) Lai","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-5789-4234","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148335075","display_name":"Jinwoo Park","orcid":"https://orcid.org/0009-0002-2554-1682","observed_orcids":["https://orcid.org/0009-0002-2554-1682"]},"institutions":[{"id":"https://openalex.org/I4405259277","display_name":"Samsung Electronics (South Korea)","ror":"https://ror.org/020m7t761","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4405259277"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinwoo Park","raw_affiliation_strings":["Samsung Electronics Co., Ltd., Suwon, Korea, Republic of (South Korea)"],"raw_orcid":"https://orcid.org/0009-0002-2554-1682","affiliations":[{"raw_affiliation_string":"Samsung Electronics Co., Ltd., Suwon, Korea, Republic of (South Korea)","institution_ids":["https://openalex.org/I4405259277"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018433948","display_name":"Junsoo Ha","orcid":"https://orcid.org/0000-0001-9909-0576","observed_orcids":["https://orcid.org/0000-0001-9909-0576"]},"institutions":[{"id":"https://openalex.org/I4405259277","display_name":"Samsung Electronics (South Korea)","ror":"https://ror.org/020m7t761","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4405259277"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junsoo Ha","raw_affiliation_strings":["Samsung Electronics Co., Ltd., Suwon, Korea, Republic of (South Korea)"],"raw_orcid":"https://orcid.org/0000-0001-9909-0576","affiliations":[{"raw_affiliation_string":"Samsung Electronics Co., Ltd., Suwon, Korea, Republic of (South Korea)","institution_ids":["https://openalex.org/I4405259277"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003976444","display_name":"Seunghyun Yoon","orcid":"https://orcid.org/0000-0001-6264-976X","observed_orcids":["https://orcid.org/0000-0001-6264-976X","https://orcid.org/0009-0004-9552-8437"]},"institutions":[{"id":"https://openalex.org/I4405259277","display_name":"Samsung Electronics (South Korea)","ror":"https://ror.org/020m7t761","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4405259277"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seunghyun Yoon","raw_affiliation_strings":["Samsung Electronics Co., Ltd., Suwon, Korea, Republic of (South Korea)"],"raw_orcid":"https://orcid.org/0009-0004-9552-8437","affiliations":[{"raw_affiliation_string":"Samsung Electronics Co., Ltd., Suwon, Korea, Republic of (South Korea)","institution_ids":["https://openalex.org/I4405259277"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066048721","display_name":"Duane S. Boning","orcid":"https://orcid.org/0000-0002-0417-445X","observed_orcids":["https://orcid.org/0000-0002-0417-445X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duane Boning","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0417-445X","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014779132","display_name":"Michael B. McIlrath","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael McIlrath","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5111222036","display_name":"Rachel Owens","orcid":"https://orcid.org/0009-0008-2652-8520","observed_orcids":["https://orcid.org/0009-0008-2652-8520"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rachel Owens","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0008-2652-8520","affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5078710992"],"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/T10781","display_name":"Low-Pressure Plasma Processing and Diagnostics","score":0.8208000063896179,"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"}},"topics":[{"id":"https://openalex.org/T10781","display_name":"Low-Pressure Plasma Processing and Diagnostics","score":0.8208000063896179,"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"}},{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.12759999930858612,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear 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/T11948","display_name":"Machine Learning in Materials Science","score":0.01899999938905239,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/plasma-etching","display_name":"plasma etching","score":0.9850000143051147},{"id":"https://openalex.org/keywords/spatiotemporal-prediction","display_name":"spatiotemporal prediction","score":0.8519999980926514},{"id":"https://openalex.org/keywords/physics-informed-deep-learning","display_name":"physics-informed deep learning","score":0.906000018119812},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.8360000252723694},{"id":"https://openalex.org/keywords/mamba","display_name":"Mamba","score":0.8330000042915344},{"id":"https://openalex.org/keywords/u-net","display_name":"U-Net","score":0.9670000076293945},{"id":"https://openalex.org/keywords/semiconductor-manufacturing","display_name":"semiconductor manufacturing","score":0.6660000085830688},{"id":"https://openalex.org/keywords/simulation-acceleration","display_name":"simulation acceleration","score":0.44600000977516174},{"id":"https://openalex.org/keywords/inductive-bias","display_name":"inductive bias","score":0.6050000190734863},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"importance sampling","score":0.5329999923706055}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5774999856948853},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5522000193595886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5436999797821045},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5088000297546387},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4943999946117401},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47440001368522644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4668000042438507},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.45879998803138733},{"id":"https://openalex.org/C107187091","wikidata":"https://www.wikidata.org/wiki/Q2392011","display_name":"Plasma etching","level":4,"score":0.4417000114917755},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4007999897003174},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3894999921321869},{"id":"https://openalex.org/C66018809","wikidata":"https://www.wikidata.org/wiki/Q1570432","display_name":"Semiconductor device fabrication","level":3,"score":0.3853999972343445},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32690000534057617},{"id":"https://openalex.org/C2987888538","wikidata":"https://www.wikidata.org/wiki/Q2986369","display_name":"Semiconductor industry","level":2,"score":0.3212999999523163},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.3165000081062317},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31119999289512634},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.30790001153945923},{"id":"https://openalex.org/C100460472","wikidata":"https://www.wikidata.org/wiki/Q2368605","display_name":"Etching (microfabrication)","level":3,"score":0.3059999942779541},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27889999747276306},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.2669999897480011},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.25279998779296875},{"id":"https://openalex.org/C180863505","wikidata":"https://www.wikidata.org/wiki/Q5439687","display_name":"Feature recognition","level":3,"score":0.2515999972820282},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2139/ssrn.7355982","doi":"https://doi.org/10.2139/ssrn.7355982","is_oa":true,"landing_page_url":"https://doi.org/10.2139/ssrn.7355982","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.2139/ssrn.7355982","doi":"https://doi.org/10.2139/ssrn.7355982","is_oa":true,"landing_page_url":"https://doi.org/10.2139/ssrn.7355982","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7125696532","https://openalex.org/W7203440384","https://openalex.org/W7159798818","https://openalex.org/W4411281423","https://openalex.org/W7166054534","https://openalex.org/W7133303656","https://openalex.org/W7024643067","https://openalex.org/W4398198498","https://openalex.org/W4404184956","https://openalex.org/W7161767729"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-08-27T00:00:00"}
