Statistical and Dynamical Aspects of Mesoscopic Systems: Proceedings of the XVI Sitges Conference on Statistical Mechanics Held at Sitges, Barcelona, Spain, 7-11 June 1999

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Initially a subfield of solid state physics, the study of mesoscopic systems has evolved over the years into a vast field of research in its own right. Keeping track its rapid progress, this book provides a broad survey of the latest developments in the field. The focus is on statistics and dynamics of mesoscopic systems with special emphasis on topics like quantum chaos, localization, noise and fluctuations, mesoscopic optics and quantum transport in nanostructures. Written with nonspecialists in mind, this book will also be useful to graduate students wishing to familiarize themselves with this field of research.

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Transport in Multilayered Nanostructures: The Dynamical Mean-field Theory Approach

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This novel book is the first comprehensive text on Dynamical Mean-Field Theory (DMFT), which has emerged over the past two decades as one of the most powerful new developments in many-body physics. Written by one of the key researchers in the field, the volume develops the formalism of many-body Green’s functions using the equation of motion approach, which requires an undergraduate solid state physics course and a graduate quantum mechanics course as prerequisites. The DMFT is applied to study transport in multilayered nanostructures, which is likely to be one of the most prominent applications of nanotechnology in the coming years. The text is modern in scope focusing on exact numerical methods rather than the perturbation theory. Formalism is developed first for the bulk and then for the inhomogeneous multilayered systems. The science behind the metal-insulator transition, electronic charge reconstruction, and superconductivity are thoroughly described. The book covers complete derivations and emphasizes how to carry out numerical calculations, including discussions of parallel programing algorithms. Detailed descriptions of the crossover from tunneling to thermally activated transport, of the properties of Josephson junctions with barriers tuned near the metal-insulator transition, and of thermoelectric coolers and power generators are provided as applications of the theory.

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Mechanical and Dynamical Principles of Protein Nanomotors: The Key to Nano-Engineering Applications

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It is obvious that movement is an essential concept of all living organisms. Molecular motility participates in many cellular functions including cell division, intracellular transport and movement of the organism itself. Thus, it is not surprising that nature has evolved a series of biological nanomotors that fulfil many of these tasks. A general class of these biological nanomotors is called protein nanomotors that move in a linear fashion (e.g. the kinesin or myosin or dynein motors) or rotate (e.g. F0F1-ATP synthase or bacterial flagellar motors). Protein nanomotors are natural motors responsible for the human activity and are also the subject of interest for nanotechnology. Protein nanomotors are ideal nanomotors because of their small size, perfect structure, smart and high efficiency. Recent advances in understanding how protein nanomotors work has raised the possibility that they might find applications as protein-based nanorobots. Thus bio-nanomotors could form the basis of bottom-up approaches for constructing active structuring and maintenance at the manometer scale. In this chapter, we have presented structures, mechanisms and potential applications of linear protein nanomotors. The three known families of protein nanomotors kinesin, dynein and myosin are multi-protein complexes and share a variety of important features. They are responsible for various dynamical processes for transporting single molecules over small distances to cell movement and growth. Our reviewing from the mechanism, regulation and co-ordination of linear nanomotors, indicate that the majority of active transport in the cell is driven by linear protein nanomotors. All of them convert the chemical energy into mechanical work directly rather than via an intermediate energy. Linear protein nanomotors are self-guiding systems. They have evolved to enable movement on their polymer filaments, either on cellular or supra-cellular levels and are able to recognise the direction of movement. Moreover, each class of nanomotor has different properties, but in the cell they are known to cooperate and even to compete with each others during their function. We have also reviewed the potential application of linear protein nanomotors. According to this, we predict that linear protein nanomotors may enable the creation of a new class of nanotechnology-based applications; for example, bio-nanorobots, molecular machines, nanomechanical devices and drug deliver systems. Thus, protein nanomotors field is very challenging field and is attracting a diverse group of researchers keen to find more.

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