{"id":"https://openalex.org/W7224130952","doi":"https://doi.org/10.1088/1402-4896/aebaf9","title":"Support errors and metric masking in constrained EDS composition regression","display_name":"Support errors and metric masking in constrained EDS composition regression","publication_year":2026,"publication_date":"2026-10-28","ids":{"openalex":"https://openalex.org/W7224130952","doi":"https://doi.org/10.1088/1402-4896/aebaf9"},"language":"en","primary_location":{"id":"doi:10.1088/1402-4896/aebaf9","doi":"https://doi.org/10.1088/1402-4896/aebaf9","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1402-4896/aebaf9","pdf_url":"https://iopscience.iop.org/article/10.1088/1402-4896/aebaf9/pdf","source":{"id":"https://openalex.org/S59012888","display_name":"Physica Scripta","issn_l":"0031-8949","issn":["0031-8949","1402-4896"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-d","jufo-1","ki-jl-1","norway-1","poland-40","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Physica Scripta","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://iopscience.iop.org/article/10.1088/1402-4896/aebaf9/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5153629493","display_name":"Geonwoo Jeong","orcid":"https://orcid.org/0009-0003-7821-8114","observed_orcids":["https://orcid.org/0009-0003-7821-8114"]},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Geonwoo Jeong","raw_affiliation_strings":["Gachon University"],"raw_orcid":"https://orcid.org/0009-0003-7821-8114","affiliations":[{"raw_affiliation_string":"Gachon University","institution_ids":["https://openalex.org/I12832649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5153629493"],"corresponding_institution_ids":["https://openalex.org/I12832649"],"apc_list":{"value":2400,"currency":"USD","value_usd":2400},"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.68904175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"101","issue":"44","first_page":"446008","last_page":"446008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12039","display_name":"Electron and X-Ray Spectroscopy Techniques","score":0.6615999937057495,"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"}},"topics":[{"id":"https://openalex.org/T12039","display_name":"Electron and X-Ray Spectroscopy Techniques","score":0.6615999937057495,"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"}},{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.15410000085830688,"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"}},{"id":"https://openalex.org/T11733","display_name":"X-ray Spectroscopy and Fluorescence Analysis","score":0.09000000357627869,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/energy-dispersive-x-ray-spectroscopy","display_name":"energy-dispersive X-ray spectroscopy","score":0.9470000267028809},{"id":"https://openalex.org/keywords/support-detection","display_name":"support detection","score":0.5630000233650208},{"id":"https://openalex.org/keywords/ridge-regression","display_name":"ridge regression","score":0.5339999794960022},{"id":"https://openalex.org/keywords/l1-error","display_name":"L1 error","score":0.7300000190734863},{"id":"https://openalex.org/keywords/compositional-data","display_name":"compositional data","score":0.3630000054836273}],"concepts":[{"id":"https://openalex.org/C64452783","wikidata":"https://www.wikidata.org/wiki/Q1524945","display_name":"Ternary operation","level":2,"score":0.6305000185966492},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5914999842643738},{"id":"https://openalex.org/C32277403","wikidata":"https://www.wikidata.org/wiki/Q740445","display_name":"Ridge","level":2,"score":0.5375999808311462},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.534600019454956},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5232999920845032},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5131999850273132},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.49219998717308044},{"id":"https://openalex.org/C62438384","wikidata":"https://www.wikidata.org/wiki/Q331350","display_name":"Simplex","level":2,"score":0.483599990606308},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4733999967575073},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.47209998965263367},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.46810001134872437},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4309999942779541},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.38530001044273376},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.3684000074863434},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3659000098705292},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.36090001463890076},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35989999771118164},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.32199999690055847},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.319599986076355},{"id":"https://openalex.org/C18747219","wikidata":"https://www.wikidata.org/wiki/Q620994","display_name":"Standard error","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2802000045776367},{"id":"https://openalex.org/C68443243","wikidata":"https://www.wikidata.org/wiki/Q2786686","display_name":"Quartile","level":3,"score":0.2759999930858612},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C126691448","wikidata":"https://www.wikidata.org/wiki/Q2028919","display_name":"Magnitude (astronomy)","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C40231798","wikidata":"https://www.wikidata.org/wiki/Q1333743","display_name":"Composition (language)","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1088/1402-4896/aebaf9","doi":"https://doi.org/10.1088/1402-4896/aebaf9","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1402-4896/aebaf9","pdf_url":"https://iopscience.iop.org/article/10.1088/1402-4896/aebaf9/pdf","source":{"id":"https://openalex.org/S59012888","display_name":"Physica Scripta","issn_l":"0031-8949","issn":["0031-8949","1402-4896"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-d","jufo-1","ki-jl-1","norway-1","poland-40","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Physica Scripta","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1088/1402-4896/aebaf9","doi":"https://doi.org/10.1088/1402-4896/aebaf9","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1402-4896/aebaf9","pdf_url":"https://iopscience.iop.org/article/10.1088/1402-4896/aebaf9/pdf","source":{"id":"https://openalex.org/S59012888","display_name":"Physica Scripta","issn_l":"0031-8949","issn":["0031-8949","1402-4896"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-d","jufo-1","ki-jl-1","norway-1","poland-40","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Physica Scripta","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332178","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7224130952.pdf","grobid_xml":"https://content.openalex.org/works/W7224130952.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1877563494","https://openalex.org/W1985872757","https://openalex.org/W2033652129","https://openalex.org/W2034035291","https://openalex.org/W2059943845","https://openalex.org/W2161639614","https://openalex.org/W2163886442","https://openalex.org/W2180180824","https://openalex.org/W2610518967","https://openalex.org/W2963650082","https://openalex.org/W3048937471","https://openalex.org/W3198686919","https://openalex.org/W4281395053","https://openalex.org/W4294243486","https://openalex.org/W4401127885","https://openalex.org/W4404271358","https://openalex.org/W6925469225"],"related_works":["https://openalex.org/W2153150258","https://openalex.org/W7213553114","https://openalex.org/W3165026716","https://openalex.org/W7135688673","https://openalex.org/W2537627574","https://openalex.org/W2048336899","https://openalex.org/W2159635095","https://openalex.org/W2089996689","https://openalex.org/W6893954314","https://openalex.org/W7138940873"],"abstract_inverted_index":{"Abstract":[0],"True-support":[1],"error":[2,55,86],"can":[3],"decrease":[4],"while":[5,81],"an":[6,126],"elemental":[7],"composition":[8],"assigns":[9],"more":[10],"mass":[11,92,99],"incorrectly.":[12],"We":[13],"demonstrate":[14],"this":[15],"discrepancy":[16,96],"in":[17,141],"constrained":[18],"regression":[19,42],"of":[20,48,58,150],"5":[21],"keV":[22],"energy-dispersive":[23],"x-ray":[24],"spectra,":[25],"using":[26],"76":[27,152],"audited":[28],"material\u2013platform":[29],"records":[30,143,153],"representing":[31],"69":[32],"reference":[33],"compositions.":[34],"With":[35,125],"identical":[36],"compositions":[37],"held":[38],"out":[39],"together,":[40],"Ridge":[41],"gives":[43],"a":[44,59],"pooled":[45],"R":[46],"2":[47],"0.236,":[49],"yet":[50],"its":[51],"ternary":[52,74],"mean":[53,147],"absolute":[54],"exceeds":[56],"that":[57],"uniform-on-support":[60],"baseline.":[61],"After":[62],"one":[63],"true":[64,139],"element":[65,72],"is":[66],"removed,":[67],"adding":[68],"the":[69,95,102,118,132,151],"highest-scored":[70],"absent":[71,123],"lowers":[73],"true-support":[75,156],"MAE":[76,157],"by":[77,87],"3.04":[78],"percentage":[79],"points":[80],"raising":[82],"full-vector":[83],"L":[84,114,161],"1":[85,115,162],"33.14":[88],"points.":[89],"An":[90],"exact":[91],"decomposition":[93],"attributes":[94],"to":[97,136],"false-positive":[98],"excluded":[100],"from":[101,134],"support":[103,120,129],"score.":[104],"For":[105],"fixed":[106],"raw":[107],"scores,":[108],"Euclidean":[109],"simplex":[110],"projection":[111],"makes":[112],"full":[113,160],"nondecreasing":[116],"when":[117],"allowed":[119],"gains":[121],"only":[122],"elements.":[124],"internally":[127],"trained":[128],"detector,":[130],"lowering":[131],"threshold":[133],"0.5":[135],"0.3":[137],"recovers":[138],"elements":[140],"37":[142],"and":[144,158],"improves":[145],"both":[146],"errors.":[148],"Nine":[149],"have":[154],"lower":[155],"higher":[159],".":[163]},"counts_by_year":[],"updated_date":"2026-11-05T12:25:35.769452","created_date":"2026-10-29T00:00:00"}
