{"id":"https://openalex.org/W7127953262","doi":"https://doi.org/10.48550/arxiv.2602.05931","title":"Task-Adaptive Physical Reservoir Computing via Tunable Molecular Communication Dynamics","display_name":"Task-Adaptive Physical Reservoir Computing via Tunable Molecular Communication Dynamics","publication_year":2026,"publication_date":"2026-02-05","ids":{"openalex":"https://openalex.org/W7127953262","doi":"https://doi.org/10.48550/arxiv.2602.05931"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.05931","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125225238","display_name":"Saad Yousuf","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yousuf, Saad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120045254","display_name":"Kaan Burak Ikiz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ikiz, Kaan Burak","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5071775798","display_name":"Murat Ku\u015fcu","orcid":"https://orcid.org/0000-0003-1466-5081"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kuscu, Murat","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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9520999789237976,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9520999789237976,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.011699999682605267,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.01080000028014183,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reservoir-computing","display_name":"Reservoir computing","score":0.9187999963760376},{"id":"https://openalex.org/keywords/molecular-communication","display_name":"Molecular communication","score":0.6513000130653381},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5429999828338623},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5306000113487244},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.46720001101493835},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4284000098705292},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.41990000009536743},{"id":"https://openalex.org/keywords/physical-system","display_name":"Physical system","score":0.3901999890804291}],"concepts":[{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.9187999963760376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7146999835968018},{"id":"https://openalex.org/C2779767902","wikidata":"https://www.wikidata.org/wiki/Q17037278","display_name":"Molecular communication","level":4,"score":0.6513000130653381},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5429999828338623},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5306000113487244},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.46720001101493835},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4284000098705292},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.41990000009536743},{"id":"https://openalex.org/C116672817","wikidata":"https://www.wikidata.org/wiki/Q1454986","display_name":"Physical system","level":2,"score":0.3901999890804291},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3709000051021576},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3691999912261963},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.3456999957561493},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.326200008392334},{"id":"https://openalex.org/C46435376","wikidata":"https://www.wikidata.org/wiki/Q1829750","display_name":"Multiphysics","level":3,"score":0.3156999945640564},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.30880001187324524},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.2971000075340271},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2939000129699707},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.26010000705718994},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.05931","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.05931","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.05931","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":"pmh:doi:10.48550/arxiv.2602.05931","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"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":{"Physical":[0],"Reservoir":[1],"Computing":[2],"(PRC)":[3],"offers":[4],"an":[5],"efficient":[6,62],"paradigm":[7],"for":[8,96,146,185,195],"processing":[9],"temporal":[10],"data,":[11],"yet":[12],"most":[13],"physical":[14],"implementations":[15],"are":[16,53,144],"static,":[17],"limiting":[18],"their":[19],"performance":[20,158],"to":[21,93,105],"a":[22,35,44,56,60,67,119,177,182,191],"narrow":[23],"range":[24],"of":[25,99,159],"tasks.":[26],"In":[27],"this":[28,108],"work,":[29],"we":[30,74],"demonstrate":[31,152],"in":[32,125],"silico":[33],"that":[34,76,139,153],"canonical":[36],"Molecular":[37],"Communication":[38],"(MC)":[39],"channel":[40,126,173],"can":[41],"function":[42],"as":[43,84,176,181],"highly":[45],"versatile":[46],"and":[47,66,87],"task-adaptive":[48],"PRC":[49],"whose":[50],"computational":[51,178],"properties":[52],"reconfigurable.":[54],"Using":[55],"dual-simulation":[57],"approach":[58],"--":[59,73],"computationally":[61],"deterministic":[63],"mean-field":[64],"model":[65,71],"high-fidelity":[68],"particle-based":[69],"stochastic":[70,161],"(Smoldyn)":[72],"show":[75],"tuning":[77],"the":[78,91,157,160,171],"channel's":[79],"underlying":[80],"biophysical":[81],"parameters,":[82],"such":[83],"ligand-receptor":[85],"kinetics":[86],"diffusion":[88],"dynamics,":[89],"allows":[90],"reservoir":[92,162],"be":[94],"optimized":[95],"distinct":[97],"classes":[98],"computation.":[100],"We":[101,150],"employ":[102],"Bayesian":[103],"optimization":[104,193],"efficiently":[106],"navigate":[107],"high-dimensional":[109],"parameter":[110,122],"space,":[111],"identifying":[112],"discrete":[113],"operational":[114],"regimes.":[115],"Our":[116],"results":[117],"reveal":[118],"clear":[120,192],"trade-off:":[121],"sets":[123],"rich":[124],"memory":[127],"excel":[128],"at":[129],"chaotic":[130],"time-series":[131],"forecasting":[132],"tasks":[133],"(e.g.,":[134],"Mackey":[135],"Glass),":[136],"while":[137],"regimes":[138],"promote":[140],"strong":[141],"receptor":[142],"nonlinearity":[143],"superior":[145],"nonlinear":[147],"data":[148],"transformation.":[149],"further":[151],"post-processing":[154],"methods":[155],"improve":[156],"by":[163],"mitigating":[164],"intrinsic":[165],"molecular":[166],"noise.":[167],"These":[168],"findings":[169],"establish":[170],"MC":[172],"not":[174],"merely":[175],"substrate,":[179],"but":[180],"design":[183],"blueprint":[184],"tunable,":[186],"bioinspired":[187],"computing":[188],"systems,":[189],"providing":[190],"framework":[194],"future":[196],"wetware":[197],"AI":[198],"implementations.":[199]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-02-07T00:00:00"}
