{"id":"https://openalex.org/W7162485014","doi":"https://doi.org/10.48550/arxiv.2605.26502","title":"PRISM: Position-encoded Regressive Inverse Spectral Model for Multilayer Thin-Film Design","display_name":"PRISM: Position-encoded Regressive Inverse Spectral Model for Multilayer Thin-Film Design","publication_year":2026,"publication_date":"2026-05-26","ids":{"openalex":"https://openalex.org/W7162485014","doi":"https://doi.org/10.48550/arxiv.2605.26502"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.26502","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.26502","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.2605.26502","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137145654","display_name":"Runtian Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Runtian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137098574","display_name":"Renhao Xue","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xue, Renhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137104229","display_name":"Baige Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Baige","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137171143","display_name":"Hao Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Hao","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/T10623","display_name":"Thin-Film Transistor Technologies","score":0.22509999573230743,"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/T10623","display_name":"Thin-Film Transistor Technologies","score":0.22509999573230743,"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/T11128","display_name":"Transition Metal Oxide Nanomaterials","score":0.13410000503063202,"subfield":{"id":"https://openalex.org/subfields/2507","display_name":"Polymers and Plastics"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11723","display_name":"Optical Coatings and Gratings","score":0.12479999661445618,"subfield":{"id":"https://openalex.org/subfields/2508","display_name":"Surfaces, Coatings and Films"},"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/autoregressive-model","display_name":"Autoregressive model","score":0.5539000034332275},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.5160999894142151},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.4884999990463257},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.45829999446868896},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.42260000109672546},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.39719998836517334},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.3734000027179718},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.36419999599456787}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5705999732017517},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5539000034332275},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.5160999894142151},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4884999990463257},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.45829999446868896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42570000886917114},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.42260000109672546},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4221000075340271},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.39719998836517334},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.3734000027179718},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.36419999599456787},{"id":"https://openalex.org/C60439489","wikidata":"https://www.wikidata.org/wiki/Q634407","display_name":"Streamlines, streaklines, and pathlines","level":2,"score":0.3582000136375427},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3504999876022339},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.3395000100135803},{"id":"https://openalex.org/C141603448","wikidata":"https://www.wikidata.org/wiki/Q134830","display_name":"Prefix","level":2,"score":0.31690001487731934},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3125},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.311599999666214},{"id":"https://openalex.org/C135393689","wikidata":"https://www.wikidata.org/wiki/Q1551588","display_name":"Phaser","level":2,"score":0.3001999855041504},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C189474733","wikidata":"https://www.wikidata.org/wiki/Q917912","display_name":"Model building","level":2,"score":0.2797999978065491},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.2786000072956085},{"id":"https://openalex.org/C88626702","wikidata":"https://www.wikidata.org/wiki/Q1128903","display_name":"Continuation","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.26502","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.26502","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.2605.26502","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.26502","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":[{"score":0.5402612686157227,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"inverse":[1],"problem":[2],"of":[3,86,110],"multilayer":[4],"thin-film":[5],"optical":[6],"coatings":[7],"design":[8],"represents":[9],"a":[10,23,43,93,114,136],"complex":[11],"combinatorial-continuous":[12],"optimization":[13,142],"challenge.":[14],"We":[15],"present":[16],"PRISM":[17,46],"(Position-encoded":[18],"Regressive":[19],"Inverse":[20],"Spectral":[21],"Model),":[22],"unified":[24],"decoder-only":[25],"autoregressive":[26],"transformer":[27,104],"that":[28,92],"streamlines":[29],"this":[30],"process":[31],"by":[32,98],"jointly":[33],"predicting":[34],"discrete":[35],"material":[36],"selection":[37],"and":[38,65,128],"continuous":[39,73],"thickness":[40,74],"regression":[41],"within":[42],"single":[44],"backbone.":[45],"introduces":[47],"two":[48],"primary":[49],"architectural":[50],"innovations:":[51],"(1)":[52],"spectrum":[53],"prefix":[54,59],"conditioning,":[55],"which":[56,71],"utilizes":[57],"standard":[58],"tokens":[60],"for":[61],"in-context":[62],"target":[63],"injection,":[64],"(2)":[66],"cumulative-depth":[67],"Rotary":[68],"Position":[69],"Embeddings,":[70],"encode":[72],"directly":[75],"into":[76],"the":[77,82,87,111],"positional":[78],"representation":[79],"to":[80,102,140],"preserve":[81],"physical":[83],"spatial":[84],"relationships":[85],"stack.":[88],"Our":[89],"benchmarks":[90],"demonstrate":[91],"PRISM-13M":[94],"model":[95],"reduces":[96],"MAE":[97],"over":[99],"50\\%":[100],"compared":[101],"other":[103],"baselines":[105],"while":[106],"utilizing":[107],"only":[108],"one-fifth":[109],"parameters.":[112],"Furthermore,":[113],"44M-parameter":[115],"variant":[116],"achieves":[117],"state-of-the-art":[118],"performance":[119],"(MAE":[120],"=":[121],"0.010)":[122],"on":[123],"our":[124],"in-distribution":[125],"validation":[126],"benchmark":[127],"operates":[129],"significantly":[130],"faster":[131],"than":[132],"simulated":[133],"annealing,":[134],"offering":[135],"highly":[137],"efficient":[138],"alternative":[139],"classical":[141],"methods.":[143]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-28T00:00:00"}