Buch, Englisch, 157 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 434 g
Reihe: Springer Theses
Buch, Englisch, 157 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 434 g
Reihe: Springer Theses
ISBN: 978-3-032-02203-5
Verlag: Springer
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 systems, and develops tools for inference from experimental data, all of which allow for novel analysis of molecular machines. Particular innovations reported in this thesis include: a new Jensen inequality relating subsystem entropy production to physically accessible measurements, which leads to performance bounds and Pareto frontiers for collective transport of intracellular cargo; a new approach to quantify the efficiency of coupled components in multicomponent motors, drawing upon the language of information thermodynamics; and a new theoretical understanding of symmetries between heat and information engines, with surprising implications for light-harvesting molecular machines like those responsible for photosynthesis. Ultimately, these advances lead to the identification of design principles which will help to guide future engineering of synthetic nanomachines.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Physik Angewandte Physik Biophysik
- Naturwissenschaften Physik Thermodynamik Festkörperphysik, Kondensierte Materie
- Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Technologie der Oberflächenbeschichtung
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Materialwissenschaft: Biomaterialien, Nanomaterialien, Kohlenstoff
Weitere Infos & Material
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.
