We characterize finite-time thermodynamic processes of multidimensional quadratic overdamped systems. Analytic expressions are provided for heat, work, and dissipation for any evolution of the system covariance matrix. The Bures-Wasserstein metric between covariance matrices naturally emerges as the local quantifier of dissipation. General principles of how to apply these geometric tools to identify optimal protocols are discussed. Focusing on the relevant slow-driving limit, we show how these results can be used to analyze cases in which the experimental control over the system is partial
Classical thermodynamics is aimed at quantifying the efficiency of thermodynamic engines by bounding...
Optimization is a natural language in which to express a multitude of problems from all reaches of t...
The optimal protocols for the irreversible work achieve their maximum usefulness if their work fluct...
This is the final version. Available on open access from IOP Publishing via the DOI in this recordDa...
We characterize finite-time thermodynamic processes of multidimensional quadratic overdamped systems...
This thesis compiles the publications I coauthored during my doctoral studies at University of Leipz...
We optimize finite-time stochastic heat engines with a periodically scaled Hamiltonian under experim...
Shortcuts to isothermality provide a powerful method to speed up quasistatic thermodynamic processes...
We present a stylized model of controlled equilibration of a small system in a fluctuating environme...
We present a stylized model of controlled equilibration of a small system in a fluctuating environme...
In contrast to the classical concept of a Carnot engine that alternates contact between heat baths o...
A heat engine is a cyclically operated statistical mechanical system which converts heat supply from...
A heat engine is a cyclically operated statistical mechanical system which converts heat supply from...
We propose an optimization strategy to control the dynamics of a stochastic system transferred from ...
The development of sophisticated experimental means to control nanoscale systems has motivated effor...
Classical thermodynamics is aimed at quantifying the efficiency of thermodynamic engines by bounding...
Optimization is a natural language in which to express a multitude of problems from all reaches of t...
The optimal protocols for the irreversible work achieve their maximum usefulness if their work fluct...
This is the final version. Available on open access from IOP Publishing via the DOI in this recordDa...
We characterize finite-time thermodynamic processes of multidimensional quadratic overdamped systems...
This thesis compiles the publications I coauthored during my doctoral studies at University of Leipz...
We optimize finite-time stochastic heat engines with a periodically scaled Hamiltonian under experim...
Shortcuts to isothermality provide a powerful method to speed up quasistatic thermodynamic processes...
We present a stylized model of controlled equilibration of a small system in a fluctuating environme...
We present a stylized model of controlled equilibration of a small system in a fluctuating environme...
In contrast to the classical concept of a Carnot engine that alternates contact between heat baths o...
A heat engine is a cyclically operated statistical mechanical system which converts heat supply from...
A heat engine is a cyclically operated statistical mechanical system which converts heat supply from...
We propose an optimization strategy to control the dynamics of a stochastic system transferred from ...
The development of sophisticated experimental means to control nanoscale systems has motivated effor...
Classical thermodynamics is aimed at quantifying the efficiency of thermodynamic engines by bounding...
Optimization is a natural language in which to express a multitude of problems from all reaches of t...
The optimal protocols for the irreversible work achieve their maximum usefulness if their work fluct...