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This book presents simple interdisciplinary stochastic models meant as a gentle introduction to the field of non-equilibrium statistical physics. It focuses on the analysis of two-state models with cooperative effects, which are versatile enough to be applied to many physical and social systems. The book also explores a variety of mathematical techniques to solve the master equations that govern these models: matrix theory, empty-interval methods, mean field theory, a quantum approach, and mapping onto classical Ising models. The models discussed are at the confluence of nanophysics, biology, mathematics, and the social sciences and provide a pedagogical path toward understanding the complex dynamics of particle self-assembly with the tools of statistical physics.
About the author
Dan Mazilu earned his B.S. in physics Al. I. Cuza University in Romania and his Ph.D. in physics from Virginia Tech. After several years as a visiting professor at Virginia Tech, he joined Washington and Lee University in 2008, where he is currently an associate professor of physics. Dan's research interests include theoretical and experimental studies of self-assembled nanoparticle monolayers and their applications to the fabrication of optical coatings, as well as interdisciplinary projects in the field of complex systems.
