<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Blom K</submitter><funding>Adobe, Inc</funding><funding>Deutsche Forschungsgemeinschaft (DFG)</funding><funding>Welch Foundation (The Welch Foundation)</funding><funding>Deutsche Forschungsgemeinschaft</funding><funding>NSF | MPS | Division of Chemistry</funding><funding>Alexander von Humboldt-Stiftung</funding><funding>National Science Foundation (NSF)</funding><funding>Welch Foundation</funding><funding>NSF | MPS | Division of Chemistry (CHE)</funding><funding>Alexander von Humboldt-Stiftung (AvH)</funding><funding>National Science Foundation</funding><pagination>e2318333121</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11047069</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>121(17)</volume><pubmed_abstract>Many nonequilibrium, active processes are observed at a coarse-grained level, where different microscopic configurations are projected onto the same observable state. Such "lumped" observables display memory, and in many cases, the irreversible character of the underlying microscopic dynamics becomes blurred, e.g., when the projection hides dissipative cycles. As a result, the observations appear less irreversible, and it is very challenging to infer the degree of broken time-reversal symmetry. Here we show, contrary to intuition, that by ignoring parts of the already coarse-grained state space we may-via a process called milestoning-improve entropy-production estimates. We present diverse examples where milestoning systematically renders observations "closer to underlying microscopic dyna</pubmed_abstract><journal>Proceedings of the National Academy of Sciences of the United States of America</journal><pubmed_title>Milestoning estimators of dissipation in systems observed at a coarse resolution.</pubmed_title><pmcid>PMC11047069</pmcid><funding_grant_id>n/a</funding_grant_id><funding_grant_id>1955552</funding_grant_id><funding_grant_id>Heisenberg Program grant GO 2762/4-1</funding_grant_id><funding_grant_id>IIS 2212048</funding_grant_id><funding_grant_id>F-1514</funding_grant_id><pubmed_authors>Song K</pubmed_authors><pubmed_authors>Blom K</pubmed_authors><pubmed_authors>Makarov DE</pubmed_authors><pubmed_authors>Vouga E</pubmed_authors><pubmed_authors>Godec A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Milestoning estimators of dissipation in systems observed at a coarse resolution.</name><description>Many nonequilibrium, active processes are observed at a coarse-grained level, where different microscopic configurations are projected onto the same observable state. Such "lumped" observables display memory, and in many cases, the irreversible character of the underlying microscopic dynamics becomes blurred, e.g., when the projection hides dissipative cycles. As a result, the observations appear less irreversible, and it is very challenging to infer the degree of broken time-reversal symmetry. Here we show, contrary to intuition, that by ignoring parts of the already coarse-grained state space we may-via a process called milestoning-improve entropy-production estimates. We present diverse examples where milestoning systematically renders observations "closer to underlying microscopic dyna</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Apr</publication><modification>2025-04-04T11:05:19.053Z</modification><creation>2025-04-04T11:05:19.053Z</creation></dates><accession>S-EPMC11047069</accession><cross_references><pubmed>38625949</pubmed><doi>10.1073/pnas.2318333121</doi></cross_references></HashMap>