TY - BOOK ID - 7760082 TI - Information Thermodynamics on Causal Networks and its Application to Biochemical Signal Transduction PY - 2016 SN - 9811016623 981101664X PB - Singapore : Springer Singapore : Imprint: Springer, DB - UniCat KW - Physics. KW - Thermodynamics. KW - Biophysics. KW - Biological physics. KW - Quantum computers. KW - Spintronics. KW - Statistical physics. KW - Dynamical systems. KW - Statistical Physics, Dynamical Systems and Complexity. KW - Quantum Information Technology, Spintronics. KW - Biophysics and Biological Physics. KW - Numerical and Computational Physics. KW - Maxwell's demon. KW - Information theory in physics. KW - Demon of Maxwell KW - Maxwell demon KW - Physics KW - Thermodynamics KW - Complex Systems. KW - Biological and Medical Physics, Biophysics. KW - Numerical and Computational Physics, Simulation. KW - Statistical Physics and Dynamical Systems. KW - Mathematical statistics KW - Chemistry, Physical and theoretical KW - Dynamics KW - Mechanics KW - Heat KW - Heat-engines KW - Quantum theory KW - Statistical methods KW - Fluxtronics KW - Magnetoelectronics KW - Spin electronics KW - Spinelectronics KW - Microelectronics KW - Nanotechnology KW - Computers KW - Dynamical systems KW - Kinetics KW - Mathematics KW - Mechanics, Analytic KW - Force and energy KW - Statics KW - Natural philosophy KW - Philosophy, Natural KW - Physical sciences KW - Biological physics KW - Biology KW - Medical sciences UR - https://www.unicat.be/uniCat?func=search&query=sysid:7760082 AB - In this book the author presents a general formalism of nonequilibrium thermodynamics with complex information flows induced by interactions among multiple fluctuating systems. The author has generalized stochastic thermodynamics with information by using a graphical theory. Characterizing nonequilibrium dynamics by causal networks, he has obtained a novel generalization of the second law of thermodynamics with information that is applicable to quite a broad class of stochastic dynamics such as information transfer between multiple Brownian particles, an autonomous biochemical reaction, and complex dynamics with a time-delayed feedback control. This study can produce further progress in the study of Maxwell’s demon for special cases. As an application to these results, information transmission and thermodynamic dissipation in biochemical signal transduction are discussed. The findings presented here can open up a novel biophysical approach to understanding information processing in living systems. ER -