{"id":"https://openalex.org/W7162436947","doi":"https://doi.org/10.48550/arxiv.2605.23967","title":"Sensing Intelligence as a Trainable Metamaterial Property","display_name":"Sensing Intelligence as a Trainable Metamaterial Property","publication_year":2026,"publication_date":"2026-05-13","ids":{"openalex":"https://openalex.org/W7162436947","doi":"https://doi.org/10.48550/arxiv.2605.23967"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.23967","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23967","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.2605.23967","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137051146","display_name":"Kyungmi Na","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Na, Kyungmi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137039025","display_name":"Yifei Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yifei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137011187","display_name":"Xinyi Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Xinyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5011362331","display_name":"Bolei Deng","orcid":"https://orcid.org/0000-0003-2589-2837"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deng, Bolei","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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.4636000096797943,"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"}},"topics":[{"id":"https://openalex.org/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.4636000096797943,"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"}},{"id":"https://openalex.org/T11230","display_name":"Innovative Energy Harvesting Technologies","score":0.093299999833107,"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/T11737","display_name":"Advanced Materials and Mechanics","score":0.08219999819993973,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.7734000086784363},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6682000160217285},{"id":"https://openalex.org/keywords/metamaterial","display_name":"Metamaterial","score":0.5453000068664551},{"id":"https://openalex.org/keywords/electronics","display_name":"Electronics","score":0.4952000081539154},{"id":"https://openalex.org/keywords/electronic-component","display_name":"Electronic component","score":0.3377000093460083},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.335099995136261},{"id":"https://openalex.org/keywords/electronic-instrument","display_name":"Electronic instrument","score":0.32989999651908875}],"concepts":[{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.7734000086784363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6728000044822693},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6682000160217285},{"id":"https://openalex.org/C110367647","wikidata":"https://www.wikidata.org/wiki/Q497166","display_name":"Metamaterial","level":2,"score":0.5453000068664551},{"id":"https://openalex.org/C138331895","wikidata":"https://www.wikidata.org/wiki/Q11650","display_name":"Electronics","level":2,"score":0.4952000081539154},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4715999960899353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43540000915527344},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.35100001096725464},{"id":"https://openalex.org/C81060104","wikidata":"https://www.wikidata.org/wiki/Q11653","display_name":"Electronic component","level":2,"score":0.3377000093460083},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.335099995136261},{"id":"https://openalex.org/C2994507667","wikidata":"https://www.wikidata.org/wiki/Q1327500","display_name":"Electronic instrument","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3140000104904175},{"id":"https://openalex.org/C2983266536","wikidata":"https://www.wikidata.org/wiki/Q3509543","display_name":"Electronic systems","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.27239999175071716},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2685000002384186},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.23967","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23967","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.2605.23967","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23967","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":{"In":[0,26],"biological":[1],"systems,":[2,28],"sensing":[3,54,106,110,124,130],"is":[4,32,43],"not":[5],"performed":[6],"by":[7,107,132,144],"the":[8,11,40,61,66,98,109,113,126,138],"brain":[9],"alone:":[10],"body":[12,42,104,128],"deforms,":[13],"vibrates,":[14],"and":[15,37,49,122],"filters":[16],"external":[17,76],"stimuli":[18,77],"before":[19],"they":[20],"are":[21,82],"transduced":[22],"into":[23,78],"neural":[24,86,99],"signals.":[25],"engineered":[27],"this":[29,93],"processing":[30],"burden":[31],"placed":[33],"largely":[34],"on":[35],"electronics":[36],"computation,":[38],"while":[39],"mechanical":[41],"usually":[44],"designed":[45],"only":[46],"for":[47,84,105],"strength":[48],"stability.":[50],"Here,":[51],"we":[52,96],"present":[53],"intelligence":[55],"as":[56],"a":[57,69,85],"trainable":[58],"property":[59],"of":[60,68,140,148],"body.":[62],"We":[63],"show":[64],"that":[65,81],"geometry":[67],"metamaterial":[70],"can":[71],"be":[72],"optimized":[73,127],"to":[74,88,112,134],"reshape":[75],"internal":[79],"signals":[80],"easier":[83],"network":[87,100],"interpret.":[89],"Rather":[90],"than":[91],"hand-designing":[92],"physical":[94],"preprocessing,":[95],"let":[97],"train":[101],"its":[102],"own":[103],"backpropagating":[108],"loss":[111],"body's":[114],"design":[115],"parameters":[116],"through":[117],"differentiable":[118],"simulation.":[119],"Across":[120],"numerical":[121],"experimental":[123],"scenarios,":[125],"improves":[129],"accuracy":[131],"up":[133],"fivefold":[135],"or":[136],"reduces":[137],"number":[139],"required":[141],"electronic":[142],"sensors":[143],"nearly":[145],"an":[146],"order":[147],"magnitude.":[149]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-27T00:00:00"}
