{"id":"https://openalex.org/W7216356252","doi":"https://doi.org/10.48550/arxiv.2610.01621","title":"Learning to Classify Threading in Melts of Rings","display_name":"Learning to Classify Threading in Melts of Rings","publication_year":2026,"publication_date":"2026-10-01","ids":{"openalex":"https://openalex.org/W7216356252","doi":"https://doi.org/10.48550/arxiv.2610.01621"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2610.01621","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.01621","pdf_url":"https://arxiv.org/pdf/2610.01621","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2610.01621","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091998696","display_name":"Filippo Conforto","orcid":"https://orcid.org/0009-0006-2859-1131","observed_orcids":["https://orcid.org/0009-0006-2859-1131"]},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Conforto, Filippo","raw_affiliation_strings":[") School of Physics and Astronomy , University of Edinburgh , Peter Guthrie Tait Road , Edinburgh , EH9 3FD , UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":") School of Physics and Astronomy , University of Edinburgh , Peter Guthrie Tait Road , Edinburgh , EH9 3FD , UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011851622","display_name":"Roman Sta\u0148o","orcid":"https://orcid.org/0000-0001-6779-3680","observed_orcids":["https://orcid.org/0000-0001-6779-3680"]},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sta\u0148o, Roman","raw_affiliation_strings":[") Yusuf Hamied Department of Chemistry , University of Cambridge , Lensfield Road , Cambridge CB2 1EW , UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":") Yusuf Hamied Department of Chemistry , University of Cambridge , Lensfield Road , Cambridge CB2 1EW , UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077390584","display_name":"J\u00e1n Smrek","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I129774422","display_name":"University of Vienna","ror":"https://ror.org/03prydq77","country_code":"AT","type":"education","lineage":["https://openalex.org/I129774422"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Smrek, Jan","raw_affiliation_strings":[") Faculty of Physics , University of Vienna , Boltzmanngasse 5 , 1090 Vienna , Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":") Faculty of Physics , University of Vienna , Boltzmanngasse 5 , 1090 Vienna , Austria","institution_ids":["https://openalex.org/I129774422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5156072373","display_name":"Davide Michieletto","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210158898","display_name":"Institute of Genetics and Cancer","ror":"https://ror.org/05hygey35","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210087105","https://openalex.org/I4210158898","https://openalex.org/I90344618","https://openalex.org/I98677209"]},{"id":"https://openalex.org/I4387154614","display_name":"MRC Human Genetics Unit","ror":"https://ror.org/011jsc803","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210087105","https://openalex.org/I4387154614","https://openalex.org/I90344618","https://openalex.org/I98677209"]},{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michieletto, Davide","raw_affiliation_strings":[") MRC Human Genetics Unit , Institute of Genetics and Cancer , University of Edinburgh , Edinburgh EH4 2XU , UK",") School of Physics and Astronomy , University of Edinburgh , Peter Guthrie Tait Road , Edinburgh , EH9 3FD , UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":") MRC Human Genetics Unit , Institute of Genetics and Cancer , University of Edinburgh , Edinburgh EH4 2XU , UK","institution_ids":["https://openalex.org/I4210158898","https://openalex.org/I4387154614","https://openalex.org/I98677209"]},{"raw_affiliation_string":") School of Physics and Astronomy , University of Edinburgh , Peter Guthrie Tait Road , Edinburgh , EH9 3FD , UK","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T11379","display_name":"Rheology and Fluid Dynamics Studies","score":0.8471999764442444,"subfield":{"id":"https://openalex.org/subfields/1507","display_name":"Fluid Flow and Transfer Processes"},"field":{"id":"https://openalex.org/fields/15","display_name":"Chemical Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11379","display_name":"Rheology and Fluid Dynamics Studies","score":0.8471999764442444,"subfield":{"id":"https://openalex.org/subfields/1507","display_name":"Fluid Flow and Transfer Processes"},"field":{"id":"https://openalex.org/fields/15","display_name":"Chemical Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10474","display_name":"Material Dynamics and Properties","score":0.0364999994635582,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.029100000858306885,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ring-polymers","display_name":"ring polymers","score":0.828000009059906},{"id":"https://openalex.org/keywords/polymer-melts","display_name":"polymer melts","score":0.6809999942779541},{"id":"https://openalex.org/keywords/writhe","display_name":"writhe","score":0.9079999923706055},{"id":"https://openalex.org/keywords/machine-learning-classification","display_name":"machine learning classification","score":0.6340000033378601},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.8659999966621399},{"id":"https://openalex.org/keywords/topological-analysis","display_name":"topological analysis","score":0.5920000076293945},{"id":"https://openalex.org/keywords/nonlinear-rheology","display_name":"nonlinear rheology","score":0.6039999723434448},{"id":"https://openalex.org/keywords/polymer-dynamics","display_name":"polymer dynamics","score":0.46399998664855957}],"concepts":[{"id":"https://openalex.org/C78555687","wikidata":"https://www.wikidata.org/wiki/Q778947","display_name":"Writhe","level":3,"score":0.8644999861717224},{"id":"https://openalex.org/C200307862","wikidata":"https://www.wikidata.org/wiki/Q7797175","display_name":"Threading (protein sequence)","level":3,"score":0.8572999835014343},{"id":"https://openalex.org/C2780378348","wikidata":"https://www.wikidata.org/wiki/Q25351438","display_name":"Ring (chemistry)","level":2,"score":0.474700003862381},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4708999991416931},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.46540001034736633},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.44429999589920044},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.4316999912261963},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4009000062942505},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.376800000667572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35179999470710754},{"id":"https://openalex.org/C201410400","wikidata":"https://www.wikidata.org/wiki/Q1064412","display_name":"Multithreading","level":3,"score":0.34850001335144043},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3441999852657318},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3434999883174896},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.32519999146461487},{"id":"https://openalex.org/C2776196297","wikidata":"https://www.wikidata.org/wiki/Q17138781","display_name":"Twist","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2757999897003174},{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.25780001282691956},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2610.01621","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.01621","pdf_url":"https://arxiv.org/pdf/2610.01621","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2610.01621","doi":"https://doi.org/10.48550/arxiv.2610.01621","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2610.01621","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2610.01621","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.01621","pdf_url":"https://arxiv.org/pdf/2610.01621","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2133522644","display_name":null,"funder_award_id":"EP/Z002028/1","funder_id":"https://openalex.org/F4320314731","funder_display_name":"UK Research and Innovation"},{"id":"https://openalex.org/G5944491603","display_name":"Modelling physicochemical regulation of chromatin-rich nano-droplets","funder_award_id":"EP/Z002028/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320314731","display_name":"UK Research and Innovation","ror":"https://ror.org/001aqnf71"},{"id":"https://openalex.org/F4320319993","display_name":"Leverhulme Trust","ror":"https://ror.org/012mzw131"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7216356252.pdf","grobid_xml":"https://content.openalex.org/works/W7216356252.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W2044426304","https://openalex.org/W2415884520","https://openalex.org/W3000230211","https://openalex.org/W3005786300","https://openalex.org/W3082584545","https://openalex.org/W4400909874","https://openalex.org/W4402390934"],"related_works":["https://openalex.org/W7170797462","https://openalex.org/W4360961873","https://openalex.org/W7147080723","https://openalex.org/W3005786300","https://openalex.org/W2414118476","https://openalex.org/W7217001320","https://openalex.org/W3082584545","https://openalex.org/W4310113764","https://openalex.org/W4310853880","https://openalex.org/W1970970834"],"abstract_inverted_index":{"Dense":[0],"melts":[1,104],"of":[2,54,66,70,109,146,166],"nonconcatenated":[3],"ring":[4,55,93,195],"polymers":[5],"exhibit":[6],"anomalous":[7],"dynamics":[8,145],"and":[9,57,111],"nonlinear":[10],"rheology,":[11],"in":[12,194],"some":[13],"cases":[14],"linked":[15],"to":[16,38,101,117,133,161],"long-lived":[17],"inter-ring":[18],"threading":[19,49,85,137],"entanglement.":[20],"Detecting":[21],"these":[22],"geometric":[23,35],"constraints":[24],"remains":[25],"computationally":[26],"demanding,":[27],"with":[28,87,124,170],"different":[29,34],"methods":[30],"being":[31],"based":[32],"on":[33,64,80,91],"features":[36],"tuned":[37],"specific":[39],"models.":[40],"Here,":[41],"we":[42,58],"introduce":[43],"a":[44,73,106,171],"machine-learning":[45],"framework":[46],"that":[47],"detects":[48],"directly":[50],"from":[51],"the":[52,81,144,147,152,155,163,175,182],"writhe":[53,82,150],"conformations":[56,130],"demonstrate":[59],"its":[60],"broad":[61],"generalisability.":[62],"Trained":[63],"simulations":[65],"isolated,":[67],"distance-constrained":[68],"pairs":[69],"short":[71],"rings,":[72,157],"one-dimensional":[74],"convolutional":[75],"neural":[76,184],"network":[77],"(CNN1D)":[78],"operating":[79],"profile":[83],"classifies":[84],"states":[86],"over":[88,174],"98%":[89],"accuracy":[90],"held-out":[92],"pairs.":[94],"Remarkably,":[95],"this":[96],"model":[97],"generalises":[98],"without":[99],"retraining":[100],"equilibrium":[102],"dense":[103],"spanning":[105],"wide":[107],"range":[108],"densities":[110],"chain":[112],"lengths":[113],"(N":[114],"=":[115],"100":[116],"1600),":[118],"maintaining":[119],"true-positive":[120],"rates":[121,126],"above":[122],"91%":[123],"false-positive":[125],"near":[127],"zero.":[128],"Misclassified":[129],"are":[131,140],"limited":[132],"physically":[134],"ambiguous,":[135],"shallow":[136],"events":[138],"which":[139],"arguably":[141],"not":[142],"impacting":[143],"rings.":[148],"Effectively,":[149],"captures":[151],"interaction":[153],"between":[154],"two":[156],"allowing":[158],"writhe-based":[159],"classifiers":[160],"improve":[162],"topological":[164],"analysis":[165],"large":[167],"ring-polymer":[168],"systems":[169],"3-fold":[172],"speed-up":[173],"state-of-the-art":[176],"minimal-surface":[177],"detection.":[178],"These":[179],"results":[180],"establish":[181],"writhe-trained":[183],"networks":[185],"as":[186],"an":[187],"accurate,":[188],"scalable":[189],"tool":[190],"for":[191],"characterising":[192],"entanglement":[193],"polymer":[196],"melts.":[197]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-10-03T00:00:00"}