{"id":"https://openalex.org/W2518590234","doi":"https://doi.org/10.1109/isit.2016.7541308","title":"On the capacity of the chemical channel with feedback","display_name":"On the capacity of the chemical channel with feedback","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2518590234","doi":"https://doi.org/10.1109/isit.2016.7541308","mag":"2518590234"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2016.7541308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033340701","display_name":"Jui Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jui Wu","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, 48105 USA","Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, 48105 USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021002637","display_name":"Achilleas Anastasopoulos","orcid":"https://orcid.org/0000-0003-3795-1654"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Achilleas Anastasopoulos","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, 48105 USA","Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, 48105 USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033340701"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":0.6962,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.74692034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"295","last_page":"299"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13052","display_name":"Molecular Communication and Nanonetworks","score":0.9807000160217285,"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/T11513","display_name":"stochastic dynamics and bifurcation","score":0.9718000292778015,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"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/crossover","display_name":"Crossover","score":0.6143223643302917},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5829805731773376},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5764029622077942},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.5763938426971436},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5233551859855652},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.49261194467544556},{"id":"https://openalex.org/keywords/bellman-equation","display_name":"Bellman equation","score":0.4694459140300751},{"id":"https://openalex.org/keywords/fixed-point","display_name":"Fixed point","score":0.4357624650001526},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.41548654437065125},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34798556566238403},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3375399708747864},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.296066015958786},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.19541782140731812},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.086311936378479}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.6143223643302917},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5829805731773376},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5764029622077942},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.5763938426971436},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5233551859855652},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.49261194467544556},{"id":"https://openalex.org/C14646407","wikidata":"https://www.wikidata.org/wiki/Q1430750","display_name":"Bellman equation","level":2,"score":0.4694459140300751},{"id":"https://openalex.org/C61445026","wikidata":"https://www.wikidata.org/wiki/Q217608","display_name":"Fixed point","level":2,"score":0.4357624650001526},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.41548654437065125},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34798556566238403},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3375399708747864},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.296066015958786},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.19541782140731812},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.086311936378479},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2016.7541308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1561234362","https://openalex.org/W1622817718","https://openalex.org/W1885785701","https://openalex.org/W2001183673","https://openalex.org/W2024886389","https://openalex.org/W2081237665","https://openalex.org/W2118917401","https://openalex.org/W2119997240","https://openalex.org/W2141021549","https://openalex.org/W2163389339","https://openalex.org/W2164684058","https://openalex.org/W2964209511","https://openalex.org/W6821349029"],"related_works":["https://openalex.org/W1971753667","https://openalex.org/W2052275678","https://openalex.org/W2514111614","https://openalex.org/W1997271576","https://openalex.org/W2348187822","https://openalex.org/W2068208308","https://openalex.org/W2946992918","https://openalex.org/W2054412643","https://openalex.org/W2156992384","https://openalex.org/W1965040619"],"abstract_inverted_index":{"The":[0],"trapdoor":[1,51,88],"channel":[2,7,52,97,190],"is":[3,83,151,186,195],"a":[4,56,84,113,119,137],"binary":[5],"input/output/state":[6],"with":[8,35,53],"state":[9,93],"changing":[10],"deterministically":[11],"as":[12,28,55,109],"the":[13,17,43,47,50,62,70,79,87,94,104,110,142,163,168,177,182,187],"modulo-2":[14],"sum":[15],"of":[16,30,45,49,86,106,112,126,139,170],"current":[18],"input,":[19],"output":[20],"and":[21,154],"state.":[22],"At":[23],"each":[24,34,92],"state,":[25],"it":[26],"behaves":[27],"one":[29],"two":[31],"Z":[32,96],"channels,":[33],"crossover":[36,99,140],"probability":[37,100],"1/2.":[38],"Permuter":[39],"et":[40],"al.":[41],"formulated":[42],"problem":[44,108],"finding":[46],"capacity":[48,71,105,143,178],"feedback":[54],"stochastic":[57],"control":[58],"problem.":[59],"By":[60],"solving":[61,162],"corresponding":[63,95,117],"Bellman":[64,114,164],"fixed-point":[65,115,128],"equation,":[66,165],"they":[67],"showed":[68],"that":[69,134],"equals":[72],"equation.":[73],"In":[74,158],"this":[75,107,127,156,185],"paper,":[76],"we":[77,166],"consider":[78],"chemical":[80],"channel,":[81,89],"which":[82,176,192],"generalization":[85],"whereby":[90],"at":[91],"has":[98],"p.":[101],"We":[102],"characterize":[103],"solution":[111,125],"equation":[116,129],"to":[118,145,152],"Markov":[120],"decision":[121],"process":[122],"(MDP).":[123],"Numerical":[124],"reveals":[130],"an":[131,171],"unexpected":[132],"behavior,":[133],"is,":[135],"for":[136,191],"range":[138],"probabilities,":[141],"seems":[144],"be":[146],"constant.":[147,180],"Our":[148],"main":[149],"contribution":[150],"formalize":[153],"prove":[155],"observation.":[157],"particular,":[159],"by":[160],"explicitly":[161],"show":[167],"existence":[169],"interval":[172],"[0.5,":[173],"p*]":[174],"over":[175],"remains":[179],"To":[181],"authors'":[183],"knowledge,":[184],"only":[188],"known":[189],"such":[193],"behavior":[194],"observed.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-03-21T06:30:42.041108","created_date":"2025-10-10T00:00:00"}
