Computing With Cells And Atoms

At the turning of the millennium, a switch in computing technology is forecasted and looked for. Two main directions of research, both based on quite unconventional ideas are most promising - quantum computing and molecular computing. In the last few years, both of these methods have been intensely investigated. The present book is the first "friendly" presentation of basic ideas in these exciting areas. The style is rigorous, but without entering into excessive technicalities. Equal attention is paid to the main practical results reported so far and the main theoretical developments. The book is written for the educated layman and is self-contained, including all the necessary facts from mathematics, computer science, biology and quantum mechanics.

Computer Modelling techniques have developed very rapidly during the last decade, and interact with many contemporary scientific disciplines. One of the areas of greatest activity has concerned the modelling of condensed phases, including liquids solids and amorphous systems, where simulations have been used to provide insight into basic physical processes and in more recent years to make reliable predictions of the properties of the systems simulated. Indeed the predictive role of simulations is increasingly recognised both in academic and industrial contexts. Current active areas of application include topics as diverse as the viscosity of liquids, the conformation of proteins, the behaviour of hydrogen in metals, the diffusion of molecules in porous catalysts and the properties of micelles. This book, which is based on a NATO ASI held at the University of Bath, UK, from September 5th-17th, 1988, aims to give a general survey of this field, with detailed discussions both of methodologies and of applications. The earlier chapters of the book are devoted mainly to techniques and the later ones to recent simulation studies of fluids, polymers (including biological molecules) and solids. Special attention is paid to the role of interatomic potentials which are the fundamental physical input to simulations. In addition, developments in computer hardware are considered in depth, owing to the crucial role which such developments are playing in the expansion of the horizons of computer modelling studies.

BIOLOGY | LIFE | UNIT 1 | From Atoms to Cells focuses on the physical components that make up cells. Embark on one continuous journey to understand and appreciate the interconnections between the subatomic, atomic, molecular, macromolecular, and cellular worlds. We spend time covering the basics so you can understand the complex. Moreover, we explain the underlying why questions so you can truly understand. This downloadable e-book includes access to text, over 350 high-quality, accurate figures, 40 interactive structures, and more, to suit all learners. Note: Access to our online courseware, including our animated video lessons, is not included in this eBook but can be purchased at www.smart-biology.com

This book provides wide knowledge about designing FPGA-based heterogeneous computing systems, using a high-level design environment based on OpenCL (Open Computing language), which is called OpenCL for FPGA. The OpenCL-based design methodology will be the key technology to exploit the potential of FPGAs in various applications such as low-power embedded applications and high-performance computing. By understanding the OpenCL-based design methodology, readers can design an entire FPGA-based computing system more easily compared to the conventional HDL-based design, because OpenCL for FPGA takes care of computation on a host, data transfer between a host and an FPGA, computation on an FPGA with a capable of accessing external DDR memories. In the step-by-step way, readers can understand followings: how to set up the design environment how to write better codes systematically considering architectural constraints how to design practical applications

Molecular dynamics is a well-established technique for simulating complex many-particle systems in many areas of physics, chemistry, and astrophysics. The huge computational requirements for simulations of large systems, especially with long-range forces, demand the use of massively parallel computers. Designing efficient algorithms for these problems is a highly non-trivial task. This book contains the invited talks and abstracts presented at a conference by more than 100 researchers from various fields: computer science, solid state physics, high energy physics, polymers, biochemistry, granular materials and astrophysics. Most of the contributions have been written by users of massively parallel computers and deal with practical issues, but there are also contributions tackling more fundamental algorithmic problems. Contents:Algorithms and ProgramsPolymersBiochemistrySolid State PhysicsGranular MaterialsAstrophysicsLattice Gauge Theory Readership: Scientists requiring high-speed computations and computer scientists working on parallel algorithms. Keywords:Fundamental Algorithmic Problems;Algorithms;Polymers;Granular Materials;Lattice Gauge Theory

Describes the fascinating details and characteristics of atoms and molecules that are too small for the unaided eye to see.

Emphasising essential methods and universal principles, this textbook provides everything students need to understand the basics of simulating materials behavior. All the key topics are covered from electronic structure methods to microstructural evolution, appendices provide crucial background material, and a wealth of practical resources are available online to complete the teaching package. Modeling is examined at a broad range of scales, from the atomic to the mesoscale, providing students with a solid foundation for future study and research. Detailed, accessible explanations of the fundamental equations underpinning materials modelling are presented, including a full chapter summarising essential mathematical background. Extensive appendices, including essential background on classical and quantum mechanics, electrostatics, statistical thermodynamics and linear elasticity, provide the background necessary to fully engage with the fundamentals of computational modelling. Exercises, worked examples, computer codes and discussions of practical implementations methods are all provided online giving students the hands-on experience they need.