This review summarizes recent developments in the theory of spin glasses, as well as
pertinent experimental data. The most characteristic properties of spin glass systems are …

A theoretical perspective is provided on the glass transition in molecular liquids at thermal
equilibrium, on the spatially heterogeneous and aging dynamics of disordered materials …

Highly-interconnected networks of nonlinear analog neurons are shown to be extremely
effective in computing. The networks can rapidly provide a collectively-computed solution (a …

Recent experiments, advances in theory, and analogies to other complex systems such as
glasses and spin glasses yield insight into protein dynamics. The basis of the understanding …

The understanding, and even the description of protein folding is impeded by the complexity
of the process. Much of this complexity can be described and understood by taking a …

This book presents a unified approach to a rich and rapidly evolving research domain at the
interface between statistical physics, theoretical computer science/discrete mathematics …

Concepts, methods and techniques of statistical physics in the study of correlated, as well as
uncorrelated, phenomena are being applied ever increasingly in the natural sciences …

The theory of spin glasses was used to study a simple model of protein folding. The phase
diagram of the model was calculated, and the results of dynamics calculations are briefly …

Spin glasses are magnetic materials. Statistical mechanics, a subfield of physics, has been a
powerful tool to theoretically analyze various unique properties of spin glasses. This book is …

This pedagogical and self-contained text describes the modern mean field theory of simple
structural glasses. The book begins with a thorough explanation of infinite-dimensional …