Buchumschlag

Stochastic Thermodynamics of Multicomponent Molecular Machines

This thesis makes significant advances in the theoretically-grounded analysis of experimental biophysical data, applying existing and novel tools from stochastic thermodynamics to study multicomponent biological molecular machines. The work in this book derives fundamental limits, explores model sys...

Ausführliche Beschreibung

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Bibliographische Detailangaben
1. Verfasser: Leighton, Matthew (VerfasserIn)
Körperschaft: SpringerLink (Online service)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Ausgabe:1st ed. 2025.
Schriftenreihe:Springer Theses, Recognizing Outstanding Ph.D. Research,
Schlagworte:
Thermodynamics.
Biophysics.
Biomolecules.
Soft condensed matter.
Biomaterials.
Coatings.
Molecular Biophysics.
Soft and Granular Matter.
Online-Zugang:https://doi.org/10.1007/978-3-032-02204-2
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Inhaltsangabe:
  • Introduction
  • Theoretical Background
  • Jensen Bound on the Entropy Production Rate for Multicomponent Stochastic Systems
  • Performance Scaling and Trade-offs for Collective Motor-Driven Transport
  • Dynamic and Thermodynamic Bounds for Collective Motor-Driven Transport
  • Inferring Subsystem Efficiencies in Bipartite Molecular Machines
  • Information Arbitrage in Bipartite Heat Engines
  • Information Arbitrage in Light-Harvesting Molecular Machines
  • Conclusion.

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