{"id":"https://openalex.org/W7165148166","doi":"https://doi.org/10.48550/arxiv.2606.18275","title":"A physical adaptive material motor unit neural network: a hygromorph composite material machine","display_name":"A physical adaptive material motor unit neural network: a hygromorph composite material machine","publication_year":2026,"publication_date":"2026-06-05","ids":{"openalex":"https://openalex.org/W7165148166","doi":"https://doi.org/10.48550/arxiv.2606.18275"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.18275","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.18275","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.2606.18275","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078720365","display_name":"Charles de Kergariou","orcid":"https://orcid.org/0000-0003-3893-4047"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"de Kergariou, Charles","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138913757","display_name":"David Correa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Correa, David","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137621320","display_name":"Adam W. Perriman","orcid":"https://orcid.org/0000-0003-2205-9364"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Perriman, Adam W.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021023927","display_name":"Helmut H\u00e4user","orcid":"https://orcid.org/0000-0001-5634-7298"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hauser, Helmut","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129170826","display_name":"Fabrizio Scarpa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Scarpa, Fabrizio","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/T11737","display_name":"Advanced Materials and Mechanics","score":0.18379999697208405,"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":0.18379999697208405,"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/T13518","display_name":"Architecture and Computational Design","score":0.10999999940395355,"subfield":{"id":"https://openalex.org/subfields/2216","display_name":"Architecture"},"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.0794999971985817,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/actuator","display_name":"Actuator","score":0.7296000123023987},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6596999764442444},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5471000075340271},{"id":"https://openalex.org/keywords/smart-material","display_name":"Smart material","score":0.4498000144958496},{"id":"https://openalex.org/keywords/artificial-muscle","display_name":"Artificial muscle","score":0.3736000061035156},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.36419999599456787},{"id":"https://openalex.org/keywords/artificial-neuron","display_name":"Artificial neuron","score":0.35440000891685486},{"id":"https://openalex.org/keywords/control-unit","display_name":"Control unit","score":0.31119999289512634}],"concepts":[{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.7296000123023987},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6596999764442444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6046000123023987},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5471000075340271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47049999237060547},{"id":"https://openalex.org/C88484716","wikidata":"https://www.wikidata.org/wiki/Q1474679","display_name":"Smart material","level":2,"score":0.4498000144958496},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4043000042438507},{"id":"https://openalex.org/C196628372","wikidata":"https://www.wikidata.org/wiki/Q4801090","display_name":"Artificial muscle","level":3,"score":0.3736000061035156},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.36419999599456787},{"id":"https://openalex.org/C2776990819","wikidata":"https://www.wikidata.org/wiki/Q177058","display_name":"Artificial neuron","level":3,"score":0.35440000891685486},{"id":"https://openalex.org/C81988521","wikidata":"https://www.wikidata.org/wiki/Q676838","display_name":"Control unit","level":2,"score":0.31119999289512634},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29820001125335693},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C82327864","wikidata":"https://www.wikidata.org/wiki/Q835100","display_name":"Intelligent control","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C109441226","wikidata":"https://www.wikidata.org/wiki/Q1137255","display_name":"Servomotor","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C144171764","wikidata":"https://www.wikidata.org/wiki/Q48103","display_name":"Torque","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.27950000762939453},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27239999175071716},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.26499998569488525},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.18275","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.18275","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.2606.18275","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.18275","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Advances":[0],"in":[1,81],"novel":[2],"materials":[3],"science":[4],"enable":[5],"structures":[6],"to":[7,46,120,137,140],"function":[8],"as":[9,125],"intelligent":[10,68],"machines":[11],"by":[12,62,87],"embedding":[13],"memory":[14],"and":[15,41,48,118],"learning":[16],"capabilities":[17],"directly":[18],"into":[19,56],"materials.":[20],"Our":[21],"work":[22],"introduces":[23],"a":[24,32,57,88,105],"physical":[25],"adaptive":[26],"material":[27,52],"motor":[28,58],"unit":[29],"neural":[30,89],"network,leveraging":[31],"new":[33,106],"generation":[34],"of":[35,39,71,134],"controllable":[36],"actuators":[37,53],"composed":[38],"wood-":[40],"carbon":[42],"black-based":[43],"composites,":[44],"sensitive":[45],"temperature":[47],"relative":[49],"humidity.":[50],"These":[51],"are":[54],"assembled":[55],"unit-like":[59],"structure":[60],"inspired":[61],"muscle":[63],"contraction":[64],"trigger,":[65],"forming":[66],"an":[67],"machine":[69,84,114,136],"capable":[70],"dynamic":[72],"shading":[73,116,143],"control":[74],"that":[75,112],"can":[76],"be":[77],"used,":[78],"for":[79],"example,":[80],"buildings.":[82],"The":[83],"is":[85],"governed":[86],"network":[90],"trained":[91],"on":[92],"over":[93],"350":[94],"experimental":[95],"data":[96],"points":[97],"collected":[98],"under":[99,145],"diverse":[100],"environmental":[101],"conditions.":[102,148],"By":[103],"establishing":[104],"data-aware":[107],"backpropagation":[108],"training,":[109],"we":[110],"show":[111],"the":[113,126,132,135],"predicts":[115],"responses":[117],"learns":[119],"predict":[121],"appropriate":[122],"behaviour":[123],"incrementally":[124],"database":[127],"expands.":[128],"We":[129],"also":[130],"demonstrate":[131],"ability":[133],"optimise":[138],"configurations":[139],"achieve":[141],"similar":[142],"outputs":[144],"two":[146],"distinct":[147]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-19T00:00:00"}