Energy and information flows in autonomous systems
Multi-component molecular machines are ubiquitous in biology. We review recent progress on describing their thermodynamic properties using autonomous bipartite Markovian dynamics. The first and second laws can be split into separate versions applicable to each subsystem of a two-component system, il...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-04-01
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| Series: | Frontiers in Physics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2023.1108357/full |
| _version_ | 1797851191818846208 |
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| author | Jannik Ehrich David A. Sivak |
| author_facet | Jannik Ehrich David A. Sivak |
| author_sort | Jannik Ehrich |
| collection | DOAJ |
| description | Multi-component molecular machines are ubiquitous in biology. We review recent progress on describing their thermodynamic properties using autonomous bipartite Markovian dynamics. The first and second laws can be split into separate versions applicable to each subsystem of a two-component system, illustrating that one can not only resolve energy flows between the subsystems but also information flows quantifying how each subsystem’s dynamics influence the joint system’s entropy balance. Applying the framework to molecular-scale sensors allows one to derive tighter bounds on their energy requirement. Two-component strongly coupled machines can be studied from a unifying perspective quantifying to what extent they operate conventionally by transducing power or like an information engine by generating information flow to rectify thermal fluctuations into output power. |
| first_indexed | 2024-04-09T19:13:57Z |
| format | Article |
| id | doaj.art-c62c4907760d4c86a2e1aca2c4c84202 |
| institution | Directory Open Access Journal |
| issn | 2296-424X |
| language | English |
| last_indexed | 2024-04-09T19:13:57Z |
| publishDate | 2023-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physics |
| spelling | doaj.art-c62c4907760d4c86a2e1aca2c4c842022023-04-06T10:34:06ZengFrontiers Media S.A.Frontiers in Physics2296-424X2023-04-011110.3389/fphy.2023.11083571108357Energy and information flows in autonomous systemsJannik EhrichDavid A. SivakMulti-component molecular machines are ubiquitous in biology. We review recent progress on describing their thermodynamic properties using autonomous bipartite Markovian dynamics. The first and second laws can be split into separate versions applicable to each subsystem of a two-component system, illustrating that one can not only resolve energy flows between the subsystems but also information flows quantifying how each subsystem’s dynamics influence the joint system’s entropy balance. Applying the framework to molecular-scale sensors allows one to derive tighter bounds on their energy requirement. Two-component strongly coupled machines can be studied from a unifying perspective quantifying to what extent they operate conventionally by transducing power or like an information engine by generating information flow to rectify thermal fluctuations into output power.https://www.frontiersin.org/articles/10.3389/fphy.2023.1108357/fullinformation thermodynamicsstochastic thermodynamicsnonequilibrium statistical mechanicsmolecular motorbiochemical sensorentropy production |
| spellingShingle | Jannik Ehrich David A. Sivak Energy and information flows in autonomous systems Frontiers in Physics information thermodynamics stochastic thermodynamics nonequilibrium statistical mechanics molecular motor biochemical sensor entropy production |
| title | Energy and information flows in autonomous systems |
| title_full | Energy and information flows in autonomous systems |
| title_fullStr | Energy and information flows in autonomous systems |
| title_full_unstemmed | Energy and information flows in autonomous systems |
| title_short | Energy and information flows in autonomous systems |
| title_sort | energy and information flows in autonomous systems |
| topic | information thermodynamics stochastic thermodynamics nonequilibrium statistical mechanics molecular motor biochemical sensor entropy production |
| url | https://www.frontiersin.org/articles/10.3389/fphy.2023.1108357/full |
| work_keys_str_mv | AT jannikehrich energyandinformationflowsinautonomoussystems AT davidasivak energyandinformationflowsinautonomoussystems |