Multiscale Phenomena play an essential role in the dynamics of many complex systems. Owing to their inherent nonlinearity and the involvement of many different length scales, these systems are often only be studied through numerical simulations. The book focused on common structures and problems in fluid dynamics, particle physics and macromolecule simulations. An important aspect of the discussions was the development of simulation techniques for massively parallel computers and recent advances in the construction of special purpose parallel computers.

Multi-Scale Phenomena in Complex Fluids is a collection of lecture notes delivered during the ªrst two series of mini-courses from "Shanghai Summer School on Analysis and Numerics in Modern Sciences," which was held in 2004 and 2006 at Fudan University, Shanghai, China. This review volume of 5 chapters, covering various fields in complex fluids, places emphasis on multi-scale modeling, analyses and simulations. It will be of special interest to researchers and graduate students who want to work in the field of complex fluids.

In August 2003, ETHZ Computational Laboratory (CoLab), together with the Swiss Center for Scientific Computing in Manno and the Università della Svizzera Italiana (USI), organized the Summer School in "Multiscale Modelling and Simulation" in Lugano, Switzerland. This summer school brought together experts in different disciplines to exchange ideas on how to link methodologies on different scales. Relevant examples of practical interest include: structural analysis of materials, flow through porous media, turbulent transport in high Reynolds number flows, large-scale molecular dynamic simulations, ab-initio physics and chemistry, and a multitude of others. Though multiple scale models are not new, the topic has recently taken on a new sense of urgency. A number of hybrid approaches are now created in which ideas coming from distinct disciplines or modelling approaches are unified to produce new and computationally efficient techniques.

Multiscale Modeling for Process Safety Applications is a new reference demonstrating the implementation of multiscale modeling techniques on process safety applications. It is a valuable resource for readers interested in theoretical simulations and/or computer simulations of hazardous scenarios. As multi-scale modeling is a computational technique for solving problems involving multiple scales, such as how a flammable vapor cloud might behave if ignited, this book provides information on the fundamental topics of toxic, fire, and air explosion modeling, as well as modeling jet and pool fires using computational fluid dynamics. The book goes on to cover nanomaterial toxicity, QPSR analysis on relation of chemical structure to flash point, molecular structure and burning velocity, first principle studies of reactive chemicals, water and air reactive chemicals, and dust explosions. Chemical and process safety professionals, as well as faculty and graduate researchers, will benefit from the detailed coverage provided in this book. - Provides the only comprehensive source addressing the use of multiscale modeling in the context of process safety - Bridges multiscale modeling with process safety, enabling the reader to understand mapping between problem detail and effective usage of resources - Presents an overall picture of addressing safety problems in all levels of modeling and the latest approaches to each in the field - Features worked out examples, case studies, and a question bank to aid understanding and involvement for the reader

"There are many events in nature, like self-assembly of peptides, which span a wide range of time and space. While some multiscale phenomena have detrimental effects and play a major role in disease progression, they can have functional applications in the fields of regenerative medicine, antifouling surface modification, electroactive material and sensor engineering. To suppress detrimental multiscale events and augment the control of functional multiscale phenomena, it is necessary to study them in detail. A major challenge in studying multiscale phenomena is that both experimental and computational techniques are limited by their spatio-temporal scope. An effective way to address this problem is to integrate experimental and simulation techniques with complementary scopes. In this research, the goal is to develop computational techniques suitable for multiscale systems, and to experimentally derive observables that can be incorporated into simulations to improve agreement between experiments and results. The research focuses on applying these techniques to study peptides"--Page x.