{"id":"https://openalex.org/W4416975687","doi":"https://doi.org/10.1016/j.aei.2025.104061","title":"A machine learning based model for self-shaping wood bilayers: leveraging local natural variations for bending prediction","display_name":"A machine learning based model for self-shaping wood bilayers: leveraging local natural variations for bending prediction","publication_year":2025,"publication_date":"2025-12-04","ids":{"openalex":"https://openalex.org/W4416975687","doi":"https://doi.org/10.1016/j.aei.2025.104061"},"language":"en","primary_location":{"id":"doi:10.1016/j.aei.2025.104061","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.aei.2025.104061","pdf_url":null,"source":{"id":"https://openalex.org/S112141509","display_name":"Advanced Engineering Informatics","issn_l":"1474-0346","issn":["1474-0346","1873-5320"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Engineering Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.aei.2025.104061","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051643042","display_name":"Zuardin Akbar","orcid":"https://orcid.org/0000-0002-8606-5483"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zuardin Akbar","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120631996","display_name":"Serena Gambarelli","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Serena Gambarelli","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5019142818","display_name":"Thomas Wortmann","orcid":"https://orcid.org/0000-0002-5604-1624"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas Wortmann","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051643042"],"corresponding_institution_ids":[],"apc_list":{"value":3570,"currency":"USD","value_usd":3570},"apc_paid":{"value":3570,"currency":"USD","value_usd":3570},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38522117,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"70","issue":null,"first_page":"104061","last_page":"104061"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11737","display_name":"Advanced Materials and Mechanics","score":0.8671000003814697,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11737","display_name":"Advanced Materials and Mechanics","score":0.8671000003814697,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10484","display_name":"Wood Treatment and Properties","score":0.025499999523162842,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11799","display_name":"Adhesion, Friction, and Surface Interactions","score":0.013100000098347664,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/bending","display_name":"Bending","score":0.5867000222206116},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.4203000068664551},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.3625999987125397},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.34860000014305115},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.2806999981403351}],"concepts":[{"id":"https://openalex.org/C87210426","wikidata":"https://www.wikidata.org/wiki/Q1072476","display_name":"Bending","level":2,"score":0.5867000222206116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5647000074386597},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5511999726295471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5005000233650208},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.4203000068664551},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4147999882698059},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.3625999987125397},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.34860000014305115},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3407000005245209},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.aei.2025.104061","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.aei.2025.104061","pdf_url":null,"source":{"id":"https://openalex.org/S112141509","display_name":"Advanced Engineering Informatics","issn_l":"1474-0346","issn":["1474-0346","1873-5320"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Engineering Informatics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.aei.2025.104061","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.aei.2025.104061","pdf_url":null,"source":{"id":"https://openalex.org/S112141509","display_name":"Advanced Engineering Informatics","issn_l":"1474-0346","issn":["1474-0346","1873-5320"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Engineering Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1921149834","display_name":null,"funder_award_id":"EXC 2120/1 \\u2013390831618","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6347721698","display_name":null,"funder_award_id":"EXC 2120/1 - 390831618","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W120743202","https://openalex.org/W1533569143","https://openalex.org/W1987999178","https://openalex.org/W2012241126","https://openalex.org/W2530254150","https://openalex.org/W2542174597","https://openalex.org/W2755210634","https://openalex.org/W2768052468","https://openalex.org/W2791796808","https://openalex.org/W2896773286","https://openalex.org/W2927570892","https://openalex.org/W2972672624","https://openalex.org/W2984295143","https://openalex.org/W3030401233","https://openalex.org/W3127581181","https://openalex.org/W3201159126","https://openalex.org/W4200245398","https://openalex.org/W4281776664","https://openalex.org/W4286540945","https://openalex.org/W4297823245","https://openalex.org/W4367310094","https://openalex.org/W4394866895"],"related_works":[],"abstract_inverted_index":{"Self-shaping":[0],"wood":[1,154],"bilayers":[2],"exhibit":[3],"uncertainties":[4],"in":[5],"bending":[6],"behaviour":[7],"due":[8],"to":[9,45,116,157],"natural":[10,106],"material":[11,147],"variations":[12,107],"such":[13,23],"as":[14,24,79,81],"growth":[15],"rings":[16],"and":[17,28,74,133,160],"grain":[18],"patterns":[19],"that":[20,108],"influence":[21],"properties":[22],"differential":[25],"swelling":[26],"coefficients":[27],"stiffness.":[29],"While":[30],"previous":[31],"physics-based":[32],"models":[33,151],"use":[34],"simplified":[35],"assumptions":[36],"about":[37],"these":[38,62],"variations,":[39],"our":[40],"method":[41,56],"uses":[42],"machine":[43,85],"learning":[44,86],"capture":[46],"spatially":[47,104],"varying":[48],"local":[49,105],"features":[50,63],"from":[51],"each":[52],"sample.":[53],"This":[54,140],"data-driven":[55,161],"learns":[57],"complex,":[58],"non-linear":[59],"relationships":[60],"of":[61,84,124,145],"with":[64,110],"bilayer":[65,70],"curvature.":[66],"Our":[67],"framework":[68,141],"encompasses":[69],"production,":[71],"data":[72,101,148],"acquisition":[73],"preparation":[75],"utilising":[76],"computer":[77],"vision,":[78],"well":[80],"the":[82,118,143],"development":[83],"models.":[87],"We":[88],"analysed":[89],"64":[90],"sycamore":[91],"maple":[92],"(":[93],"Acer":[94],"pseudoplatanus":[95],"L.":[96],")":[97,128],"bilayers,":[98],"yielding":[99],"1,216":[100],"points":[102],"on":[103,136],"correlate":[109],"their":[111],"curvatures.":[112],"Random":[113],"Forest":[114],"proved":[115],"be":[117],"most":[119],"accurate,":[120],"achieving":[121],"a":[122],"coefficient":[123],"determination":[125],"(R":[126],"2":[127],"above":[129],"0.9":[130],"during":[131],"training":[132],"over":[134],"0.8":[135],"unseen":[137],"test":[138],"data.":[139],"demonstrates":[142],"integration":[144],"fine-grained":[146],"into":[149],"predictive":[150],"for":[152],"material-driven":[153],"design,":[155],"adaptable":[156],"different":[158],"species":[159],"methods.":[162]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-12-04T00:00:00"}