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Springer Dissipation and Control in Microscopic Nonequilibrium Systems

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Description

This Springer thesis presents a comprehensive extension of deterministic control frameworks in nonequilibrium statistical mechanics to encompass stochastic, discrete, and autonomous control mechanisms. The work bridges stochastic thermodynamics with practical applications in molecular machines, nanotechnology, and biological systems, offering essential insights into the nonequilibrium energetic efficiency of microscopic systems. Readers will gain valuable guidelines for designing synthetic molecular machines and discover the fundamental engineering principles that govern their operation. The thesis combines rigorous theoretical foundations with applied perspectives, making it an indispensable resource for researchers and graduate students working in nonequilibrium physics, molecular engineering, and biophysics.

Key Features

Extends deterministic control frameworks to stochastic and autonomous mechanisms in nonequilibrium statistical mechanics.

Applies stochastic thermodynamics concepts to understanding molecular machines in nanotechnology and living biological systems.

Provides quantitative evaluation methods for assessing nonequilibrium energetic efficiency of microscopic systems.

Offers practical guidelines and design principles for developing effective synthetic molecular machines.

Serves as a Springer thesis combining rigorous theory with engineering applications for advanced physics research.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
24 October 2021
Listed Since
27 July 2021

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