Foundations of Molecular Modeling and Simulation: Select Papers from Fomms 2018, Maginn Edward J., Errington Jeffrey
Автор: Hartmann Alexander K Название: Big Practical Guide To Computer Simulations (2Nd Edition) ISBN: 9814571768 ISBN-13(EAN): 9789814571760 Издательство: World Scientific Publishing Рейтинг: Цена: 14256.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Book Presents All The Computational Techniques And Tools Needed To Start Doing Scientific Research Using Computer Simulations. A Reader Will Have All The Necessary Basic Background After Working Through This Book, Including Program Design, Programming In C, Fundamental Algorithms And Data Structures, Random Numbers, Debugging, Up To Data Analysis, Presentation And Publishing. In Each Of These Fields No Preliminary Knowledge Is Assumed. The Reader Will Be Equipped With A Solid Background Such That He Can Perform Successfully Complete Projects From The First Idea Till The Final Publication. For Non-Standard Applications And Further Reading, Many References To Specialized Literature Are Included. All Techniques Are Explained Using Many Examples In C. These C Codes, Also The Solutions To Exercises, Can Be Downloaded From A Web Page.The Techniques In This Book Are Independent Of The Field Of Research, Hence They Are Suitable For Conducting Research Projects In Physics, Chemistry, Computer Science, Biology Or Engineering.There Are No Similar Comprehensive Books So Far. Currently, One Needs Many Different Books To Learn All Necessary Background. Having This Book, One Needs Basically Only A Second Book On Field-Specific Algorithms In Order To Be Fully Equipped To Perform Computer Simulations Research.
Описание: Written by well-known and international authors, this first book on this hot topic comprehensively conveys expert knowledge from surface science to both chemists and engineers. A one-stop reference for everyone interested in heterogeneous catalysis.
Название: Practical Guide to Computer Simulations ISBN: 9814571776 ISBN-13(EAN): 9789814571777 Издательство: World Scientific Publishing Рейтинг: Цена: 8078.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Book Presents All The Computational Techniques And Tools Needed To Start Doing Scientific Research Using Computer Simulations. A Reader Will Have All The Necessary Basic Background After Working Through This Book, Including Program Design, Programming In C, Fundamental Algorithms And Data Structures, Random Numbers, Debugging, Up To Data Analysis, Presentation And Publishing. In Each Of These Fields No Preliminary Knowledge Is Assumed. The Reader Will Be Equipped With A Solid Background Such That He Can Perform Successfully Complete Projects From The First Idea Till The Final Publication. For Non-Standard Applications And Further Reading, Many References To Specialized Literature Are Included. All Techniques Are Explained Using Many Examples In C. These C Codes, Also The Solutions To Exercises, Can Be Downloaded From A Web Page.The Techniques In This Book Are Independent Of The Field Of Research, Hence They Are Suitable For Conducting Research Projects In Physics, Chemistry, Computer Science, Biology Or Engineering.There Are No Similar Comprehensive Books So Far. Currently, One Needs Many Different Books To Learn All Necessary Background. Having This Book, One Needs Basically Only A Second Book On Field-Specific Algorithms In Order To Be Fully Equipped To Perform Computer Simulations Research.
Описание: The work done in chaotic modeling and simulation has changed our views of the world around us and has introduced scientific tools, methods and techniques. This book includes advanced topics of these achievements on Chaos Theory which focuses on Chaotic Modeling, Simulation and Applications of the nonlinear phenomena.
Описание: It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable.
Molecular Dynamics Simulation of Nanocomposites using BIOVIA Materials Studio, Lammps and Gromacs presents the three major software packages used for molecular dyanmics simulation of nanocomposites. Materials Studio, Lammps and Gromacs are all used for performing nanocomposites simulations and analysis. The purpose of this book is to provide the readers with an in-depth view of molecular dynamics modeling of nanocomposites using Materials Studio, Lammps and Gromacs. The book explains in detail how to use each of these packages most effectively, using real-world examples to show when each should be used. The latter two of these are open-source codes, which can be used for modelling at no cost.
As well as offering an introduction to molecular dynamics simulation, and explaining how it is applied to nanocomposites, the book includes several case studies, to show how each of the software packages are used to predict various properties of nanocomposites, including metal-matrix, polymer-matrix and ceramic-matrix based nanocomposites. The properties explored include mechanical, thermal, optical and electrical properties. The concept of perl scripting is discussed in detail. The questions this book answers for readers include:
Which module to use?
How do I perform optimization?
Which ensemble to use?
How do I calculate mechanical, thermal, optical and electrical properties?
How do I perform scripting in Materials Studio, Lammps and Gromacs?
This is the first book that explores methodologies for using Materials Studio, Lammps and Gromacs in the same place. It will be beneficial for students, researchers and scientists working in the field of molecular dynamics simulation.
Detailed explanation of basic commands and modules of Materials Studio, Lammps and Gromacs
Shows how Materials Studio, Lammps and Gromacs predict mechanical, thermal, electrical and optical properties of nanocomposites
Uses case studies to show which software should be used to solve a variety of nanoscale modelling problems
Описание: This proceedings volume highlights a selection of papers presented at the 7th International Conference on High Performance Scientific Computing, which took place in Hanoi, Vietnam, during March 19-23, 2018.
Автор: Laurentiu Nastac; Koulis Pericleous; Adrian S. Sab Название: CFD Modeling and Simulation in Materials Processing 2018 ISBN: 3319891332 ISBN-13(EAN): 9783319891330 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Поставка под заказ.
Описание:
This collection presents contributions on computational fluid dynamics (CFD) modeling and simulation of engineering processes from researchers and engineers involved in the modeling of multiscale and multiphase phenomena in material processing systems.
The following processes are covered: Additive Manufacturing (Selective Laser Melting and Laser Powder Bed Fusion); Ironmaking and Steelmaking (Ladle Metallurgical Furnace, EAF, Continuous Casting, Blown Converter, Reheating Furnace, Rotary Hearth Furnace); Degassing; High Pressure Gas Atomization of Liquid Metals; Electroslag Remelting; Electrokinetic Deposition; Friction Stir Welding; Quenching; High Pressure Die Casting; Core Injection Molding; Evaporation of Metals; Investment Casting; Electromagnetic Levitation; Ingot Casting; Casting and Solidification with External Field (electromagnetic stirring and ultrasonic cavitation) Interaction and Microstructure Evolution
The collection also covers applications of CFD to engineering processes, and demonstrates how CFD can help scientists and engineers to better understand the fundamentals of engineering processes.
The development of naturally fractured reservoirs, especially shale gas and tight oil reservoirs, exploded in recent years due to advanced drilling and fracturing techniques. However, complex fracture geometries such as irregular fracture networks and non-planar fractures are often generated, especially in the presence of natural fractures. Accurate modelling of production from reservoirs with such geometries is challenging. Therefore, Embedded Discrete Fracture Modeling and Application in Reservoir Simulation demonstrates how production from reservoirs with complex fracture geometries can be modelled efficiently and effectively.
This volume presents a conventional numerical model to handle simple and complex fractures using local grid refinement (LGR) and unstructured gridding. Moreover, it introduces an Embedded Discrete Fracture Model (EDFM) to efficiently deal with complex fractures by dividing the fractures into segments using matrix cell boundaries and creating non-neighboring connections (NNCs). A basic EDFM approach using Cartesian grids and advanced EDFM approach using Corner point and unstructured grids will be covered.
Embedded Discrete Fracture Modeling and Application in Reservoir Simulation is an essential reference for anyone interested in performing reservoir simulation of conventional and unconventional fractured reservoirs.
Автор: Dubois, Guillaume (paris, France) Название: Modeling and simulation ISBN: 0815374895 ISBN-13(EAN): 9780815374893 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Поставка под заказ.
Описание: This book enables those working in modeling and simulation, to look at best practices from various disciplines, so that project leaders, managers, and engineers, can apply the non-technical and technical best practices to their work.
Systems Simulation and Modelling for Cloud Computing and Big Data Applications provides readers with the most current approaches to solving problems through the use of models and simulations, presenting SSM based approaches to performance testing and benchmarking that offer significant advantages. For example, multiple big data and cloud application developers and researchers can perform tests in a controllable and repeatable manner. Inspired by the need to analyze the performance of different big data processing and cloud frameworks, researchers have introduced several benchmarks, including BigDataBench, BigBench, HiBench, PigMix, CloudSuite and GridMix, which are all covered in this book.
Despite the substantial progress, the research community still needs a holistic, comprehensive big data SSM to use in almost every scientific and engineering discipline involving multidisciplinary research. SSM develops frameworks that are applicable across disciplines to develop benchmarking tools that are useful in solutions development.
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