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This book provides in-depth insights into assembling dynamics of proteins, DNA and other nanoparticles. The applications of basic knowledge in the development of artificial self-assembling systems will be discussed and state of the art methodology in the field will be presented.This interdisciplinary work brings together aspects of different fields of expertise such as Biology, Physics and Material Sciences and is intended for researchers, professors and graduate students interested in the design of self-assembling materials.
This book addresses new challenges in soft matter and colloids. It presents timely reports on colloidal self-assembly, soft matters from liquid crystals, nanoparticles in liquid crystals, hydrocolloids, hybrid nanosystems, nanosuspensions, and dispersion of nanoparticles in different media, soft matter processing and modern experiments related with soft matters.
Self-assembly of Nano- and Micro-structured Materials Using Colloidal Engineering, Volume 12, covers the recent breakthroughs in the design and manufacture of functional colloids at the micro- and nanoscale level. In addition, it provides analyses on how these functionalities can be exploited to develop self-assembly pathways towards nano- and micro-structured materials. As we seek increasingly complex functions for colloidal superstructures, in silico design will play a critical role in guiding experimental fabrication by reducing the element of trial-and-error that would otherwise be involved. In addition to novel experimental approaches, recent developments in computational modelling are also presented, along with an overview of the arsenal of designing tools that are available to the modern materials scientist. - Focuses on promoting feedback between experiment, theory and computation in this cross-disciplinary research area - Shows how colloid science plays a crucial role in the bottom-up fabrication of nanostructured materials - Presents recent developments in computational modelling
This comprehensive collection of lectures by leading experts in the field introduces and reviews all relevant computer simulation methods and their applications in condensed matter systems. Volume 1 is an in-depth introduction to a vast spectrum of computational techniques for statistical mechanical systems of condensed matter. Volume 2 is a collection of state-of-the-art surveys on numerical experiments carried out for a great number of systems.
Soft condensed matter physics, which emerged as a distinct branch of physics in the 1990s, studies complex fluids: liquids in which structures with length scale between the molecular and the macroscopic exist. Polymers, liquid crystals, surfactant solutions, and colloids fall into this category. Physicists deal with properties of soft matter system
Computational Approaches for Understanding Dynamical Systems: Protein Folding and Assembly, Volume 170 in the Progress in Molecular Biology and Translational Science series, provides the most topical, informative and exciting monographs available on a wide variety of research topics. The series includes in-depth knowledge on the molecular biological aspects of organismal physiology, with this release including chapters on Pairwise-Additive and Polarizable Atomistic Force Fields for Molecular Dynamics Simulations of Proteins, Scale-consistent approach to the derivation of coarse-grained force fields for simulating structure, dynamics, and thermodynamics of biopolymers, Enhanced sampling and free energy methods, and much more.
This snapshot volume is designed to provide a smooth entry into the field of protein folding. Presented in a concise manner, each section introduces key concepts while providing a brief overview of the relevant literature. Outlook subsections will pinpoint specific aspects related to emerging methodologies, concepts and trends.
This open access book bridges the gap between playing with robots in school and studying robotics at the upper undergraduate and graduate levels to prepare for careers in industry and research. Robotic algorithms are presented formally, but using only mathematics known by high-school and first-year college students, such as calculus, matrices and probability. Concepts and algorithms are explained through detailed diagrams and calculations. Elements of Robotics presents an overview of different types of robots and the components used to build robots, but focuses on robotic algorithms: simple algorithms like odometry and feedback control, as well as algorithms for advanced topics like localiza...