Science in the Age of Computer Simulation

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Publisher : University of Chicago Press
ISBN 13 : 0226902056
Total Pages : 168 pages
Book Rating : 4.2/5 (269 download)

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Book Synopsis Science in the Age of Computer Simulation by : Eric Winsberg

Download or read book Science in the Age of Computer Simulation written by Eric Winsberg and published by University of Chicago Press. This book was released on 2010-10-15 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer simulation was first pioneered as a scientific tool in meteorology and nuclear physics in the period following World War II, but it has grown rapidly to become indispensible in a wide variety of scientific disciplines, including astrophysics, high-energy physics, climate science, engineering, ecology, and economics. Digital computer simulation helps study phenomena of great complexity, but how much do we know about the limits and possibilities of this new scientific practice? How do simulations compare to traditional experiments? And are they reliable? Eric Winsberg seeks to answer these questions in Science in the Age of Computer Simulation. Scrutinizing these issue with a philosophical lens, Winsberg explores the impact of simulation on such issues as the nature of scientific evidence; the role of values in science; the nature and role of fictions in science; and the relationship between simulation and experiment, theories and data, and theories at different levels of description. Science in the Age of Computer Simulation will transform many of the core issues in philosophy of science, as well as our basic understanding of the role of the digital computer in the sciences.

Introduction to Computational Science

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Author :
Publisher : Princeton University Press
ISBN 13 : 140085055X
Total Pages : 857 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis Introduction to Computational Science by : Angela B. Shiflet

Download or read book Introduction to Computational Science written by Angela B. Shiflet and published by Princeton University Press. This book was released on 2014-03-30 with total page 857 pages. Available in PDF, EPUB and Kindle. Book excerpt: The essential introduction to computational science—now fully updated and expanded Computational science is an exciting new field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. This textbook provides students with a versatile and accessible introduction to the subject. It assumes only a background in high school algebra, enables instructors to follow tailored pathways through the material, and is the only textbook of its kind designed specifically for an introductory course in the computational science and engineering curriculum. While the text itself is generic, an accompanying website offers tutorials and files in a variety of software packages. This fully updated and expanded edition features two new chapters on agent-based simulations and modeling with matrices, ten new project modules, and an additional module on diffusion. Besides increased treatment of high-performance computing and its applications, the book also includes additional quick review questions with answers, exercises, and individual and team projects. The only introductory textbook of its kind—now fully updated and expanded Features two new chapters on agent-based simulations and modeling with matrices Increased coverage of high-performance computing and its applications Includes additional modules, review questions, exercises, and projects An online instructor's manual with exercise answers, selected project solutions, and a test bank and solutions (available only to professors) An online illustration package is available to professors

Modeling and Simulation in Science and Mathematics Education

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 1461214149
Total Pages : 352 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Modeling and Simulation in Science and Mathematics Education by : Wallace Feurzeig

Download or read book Modeling and Simulation in Science and Mathematics Education written by Wallace Feurzeig and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book/software package brings the tools and excitement of modeling to pre-college teachers, to researchers involved in curriculum development, and to software developers interested in the pre-college market.

The Science and Art of Simulation I

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Author :
Publisher : Springer
ISBN 13 : 3319557629
Total Pages : 192 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis The Science and Art of Simulation I by : Michael M. Resch

Download or read book The Science and Art of Simulation I written by Michael M. Resch and published by Springer. This book was released on 2017-04-07 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new book series “The Science and Art of Simulation” (SAS) addresses computer simulations as a scientific activity and engineering artistry (in the sense of a technē). The first volume is devoted to three topics: 1. The Art of Exploring Computer Simulations Philosophy began devoting attention to computer simulations at a relatively early stage. Since then, the unquestioned point of view has been that computer simulation is a new scientific method; the philosophy of simulation is therefore part of the philosophy of science. The first section of this volume discusses this implicit, unchallenged assumption by addressing, from different perspectives, the question of how to explore (and how not to explore) research on computer simulations. Scientists discuss what is still lacking or considered problematic, while philosophers draft new directions for research, and both examine the art of exploring computer simulations. 2. The Art of Understanding Computer Simulations The results of computer simulations are integrated into both political and social decisions. It is implicitly assumed that the more detailed, and consequently more realistic, a computer simulation is, the more useful it will be in decision-making. However, this idea is by no means justified. Different types of computer simulations have to be differentiated, which in turn requires the specific skill of understanding computer simulation results. The articles in this section examine the capabilities and limits of simulation results in political and social contexts, exploring the art of understanding computer simulation results. 3. The Art of Knowing through Computer Simulations? The advent of computer simulation in today’s scientific practices challenges the order of science. What kind of knowledge is gained through computer simulations is the key question in this section. Computer simulations are often compared to experiments or to arguments, and the transformation of our traditional scientific notions might be more challenging than expected – these Ideas are put forward in the third section to conceptualize the art of knowing through computer simulations.

Understanding Molecular Simulation

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Author :
Publisher : Elsevier
ISBN 13 : 9780080519982
Total Pages : 664 pages
Book Rating : 4.5/5 (199 download)

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Book Synopsis Understanding Molecular Simulation by : Daan Frenkel

Download or read book Understanding Molecular Simulation written by Daan Frenkel and published by Elsevier. This book was released on 2001-10-19 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding Molecular Simulation: From Algorithms to Applications explains the physics behind the "recipes" of molecular simulation for materials science. Computer simulators are continuously confronted with questions concerning the choice of a particular technique for a given application. A wide variety of tools exist, so the choice of technique requires a good understanding of the basic principles. More importantly, such understanding may greatly improve the efficiency of a simulation program. The implementation of simulation methods is illustrated in pseudocodes and their practical use in the case studies used in the text. Since the first edition only five years ago, the simulation world has changed significantly -- current techniques have matured and new ones have appeared. This new edition deals with these new developments; in particular, there are sections on: · Transition path sampling and diffusive barrier crossing to simulaterare events · Dissipative particle dynamic as a course-grained simulation technique · Novel schemes to compute the long-ranged forces · Hamiltonian and non-Hamiltonian dynamics in the context constant-temperature and constant-pressure molecular dynamics simulations · Multiple-time step algorithms as an alternative for constraints · Defects in solids · The pruned-enriched Rosenbluth sampling, recoil-growth, and concerted rotations for complex molecules · Parallel tempering for glassy Hamiltonians Examples are included that highlight current applications and the codes of case studies are available on the World Wide Web. Several new examples have been added since the first edition to illustrate recent applications. Questions are included in this new edition. No prior knowledge of computer simulation is assumed.

Multiscale Modeling and Simulation in Science

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Publisher : Springer Science & Business Media
ISBN 13 : 3540888578
Total Pages : 332 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Multiscale Modeling and Simulation in Science by : Björn Engquist

Download or read book Multiscale Modeling and Simulation in Science written by Björn Engquist and published by Springer Science & Business Media. This book was released on 2009-02-11 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most problems in science involve many scales in time and space. An example is turbulent ?ow where the important large scale quantities of lift and drag of a wing depend on the behavior of the small vortices in the boundarylayer. Another example is chemical reactions with concentrations of the species varying over seconds and hours while the time scale of the oscillations of the chemical bonds is of the order of femtoseconds. A third example from structural mechanics is the stress and strain in a solid beam which is well described by macroscopic equations but at the tip of a crack modeling details on a microscale are needed. A common dif?culty with the simulation of these problems and many others in physics, chemistry and biology is that an attempt to represent all scales will lead to an enormous computational problem with unacceptably long computation times and large memory requirements. On the other hand, if the discretization at a coarse level ignoresthe?nescale informationthenthesolutionwillnotbephysicallymeaningful. The in?uence of the ?ne scales must be incorporated into the model. This volume is the result of a Summer School on Multiscale Modeling and S- ulation in Science held at Boso ¤n, Lidingo ¤ outside Stockholm, Sweden, in June 2007. Sixty PhD students from applied mathematics, the sciences and engineering parti- pated in the summer school.

Scientific Modeling and Simulations

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Publisher : Springer Science & Business Media
ISBN 13 : 1402097417
Total Pages : 396 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Scientific Modeling and Simulations by : Sidney Yip

Download or read book Scientific Modeling and Simulations written by Sidney Yip and published by Springer Science & Business Media. This book was released on 2010-04-07 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although computational modeling and simulation of material deformation was initiated with the study of structurally simple materials and inert environments, there is an increasing demand for predictive simulation of more realistic material structure and physical conditions. In particular, it is recognized that applied mechanical force can plausibly alter chemical reactions inside materials or at material interfaces, though the fundamental reasons for this chemomechanical coupling are studied in a material-speci c manner. Atomistic-level s- ulations can provide insight into the unit processes that facilitate kinetic reactions within complex materials, but the typical nanosecond timescales of such simulations are in contrast to the second-scale to hour-scale timescales of experimentally accessible or technologically relevant timescales. Further, in complex materials these key unit processes are “rare events” due to the high energy barriers associated with those processes. Examples of such rare events include unbinding between two proteins that tether biological cells to extracellular materials [1], unfolding of complex polymers, stiffness and bond breaking in amorphous glass bers and gels [2], and diffusive hops of point defects within crystalline alloys [3].

Opportunities from the Integration of Simulation Science and Data Science

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Author :
Publisher : National Academies Press
ISBN 13 : 0309481899
Total Pages : 49 pages
Book Rating : 4.3/5 (94 download)

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Book Synopsis Opportunities from the Integration of Simulation Science and Data Science by : National Academies of Sciences, Engineering, and Medicine

Download or read book Opportunities from the Integration of Simulation Science and Data Science written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2018-07-31 with total page 49 pages. Available in PDF, EPUB and Kindle. Book excerpt: Convergence has been a key topic of discussion about the future of cyberinfrastructure for science and engineering research. Convergence refers both to the combined use of simulation and data-centric techniques in science and engineering research and the possibilities for a single type of cyberinfrastructure to support both techniques. The National Academies of Science, Engineering, and Medicine convened a Workshop on Converging Simulation and Data-Driven Science on May 10, 2018, in Washington, D.C. The workshop featured speakers from universities, national laboratories, technology companies, and federal agencies who addressed the potential benefits and limitations of convergence as they relate to scientific needs, technological capabilities, funding structures, and system design requirements. This publication summarizes the presentations and discussions from the workshop.

Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 9401586861
Total Pages : 332 pages
Book Rating : 4.4/5 (15 download)

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Book Synopsis Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View by : R. Hegselmann

Download or read book Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View written by R. Hegselmann and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model building in the social sciences can increasingly rely on well elaborated formal theories. At the same time inexpensive large computational capacities are now available. Both make computer-based model building and simulation possible in social science, whose central aim is in particular an understanding of social dynamics. Such social dynamics refer to public opinion formation, partner choice, strategy decisions in social dilemma situations and much more. In the context of such modelling approaches, novel problems in philosophy of science arise which must be analysed - the main aim of this book. Interest in social simulation has recently been growing rapidly world- wide, mainly as a result of the increasing availability of powerful personal computers. The field has also been greatly influenced by developments in cellular automata theory (from mathematics) and in distributed artificial intelligence which provided tools readily applicable to social simulation. This book presents a number of modelling and simulation approaches and their relations to problems in philosophy of science. It addresses sociologists and other social scientists interested in formal modelling, mathematical sociology, and computer simulation as well as computer scientists interested in social science applications, and philosophers of social science.

Data Science and Simulation in Transportation Research

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Author :
Publisher : IGI Global
ISBN 13 : 1466649216
Total Pages : 457 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Data Science and Simulation in Transportation Research by : Janssens, Davy

Download or read book Data Science and Simulation in Transportation Research written by Janssens, Davy and published by IGI Global. This book was released on 2013-12-31 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: Given its effective techniques and theories from various sources and fields, data science is playing a vital role in transportation research and the consequences of the inevitable switch to electronic vehicles. This fundamental insight provides a step towards the solution of this important challenge. Data Science and Simulation in Transportation Research highlights entirely new and detailed spatial-temporal micro-simulation methodologies for human mobility and the emerging dynamics of our society. Bringing together novel ideas grounded in big data from various data mining and transportation science sources, this book is an essential tool for professionals, students, and researchers in the fields of transportation research and data mining.

International Assessment of Research and Development in Simulation-Based Engineering and Science

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Publisher : World Scientific
ISBN 13 : 1908977787
Total Pages : 312 pages
Book Rating : 4.9/5 (89 download)

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Book Synopsis International Assessment of Research and Development in Simulation-Based Engineering and Science by : Sharon C Glotzer

Download or read book International Assessment of Research and Development in Simulation-Based Engineering and Science written by Sharon C Glotzer and published by World Scientific. This book was released on 2011-06-10 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulation-Based Engineering and Science (SBE&S) cuts across disciplines, showing tremendous promise in areas from storm prediction and climate modeling to understanding the brain and the behavior of numerous other complex systems. In this groundbreaking volume, nine distinguished leaders assess the latest research trends, as a result of 52 site visits in Europe and Asia and hundreds of hours of expert interviews, and discuss the implications of their findings for the US government. The authors conclude that while the US remains the quantitative leader in SBE&S research and development, it is very much in danger of losing that edge to Europe and Asia. Commissioned by the National Science Foundation, this multifaceted study will capture the attention of Fortune 500 companies and policymakers. Distinguished contributors: Sharon C Goltzer, University of Michigan, Ann Arbor, USA Sangtae Kim, Morgridge Institute for Research, USA Peter T Cummings, Vanderbilt University, USA and Oak Ridge National Laboratory, USA Abhijit Deshmukh, Texas A&M University, USA Martin Head-Gordon, University of California, Berkeley, USA George Em Karniadakis, Brown University, USA Linda Petzold, University of California, Santa Barbara, USA Celeste Sagui, North Carolina State University, USA Masanobu Shinozuka, University of California, Irvine, USA Contents:Introduction (Sharon C Goltzer)Life Sciences and Medicine (Linda Petzold)Materials Simulation (Peter T Cummings)Energy and Sustainability (Masanobu Shinozuka)Next-Generation Architectures and Algorithms (George Em Karniadakis)Software Development (Martin Head-Gordon)Engineering Simulations (Abhijit Deshmukh)Verification, Validation, and Uncertainty Quantification (George Em Karniadakis)Multiscale Simulation (Peter T Cummings)Big Data, Visualization, and Data-Driven Simulations (Sangtae Kim)Education and Training (Celeste Sagui)Appendices:Biographies of Panelists and AdvisorsSurvey QuestionaireBibliometric Analysis of Simulation Research Grant LewisonGlossary Readership: Academics, physicists, engineers, policymakers and graduate students in mathematical modeling, computational physics, super-computing/parallel computing and stochastic analysis. Keywords:Simulation;Model;Research & Development;Technology;Engineering

Computer Simulation in Materials Science

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Author :
Publisher : Springer
ISBN 13 :
Total Pages : 568 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Computer Simulation in Materials Science by : M. Meyer

Download or read book Computer Simulation in Materials Science written by M. Meyer and published by Springer. This book was released on 1991-09-30 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the NATO Advanced Study Institute, Aussois, France, March 25-April 5, 1991

Numerical Simulation - Advanced Techniques for Science and Engineering

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Publisher : BoD – Books on Demand
ISBN 13 : 1803569530
Total Pages : 342 pages
Book Rating : 4.8/5 (35 download)

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Book Synopsis Numerical Simulation - Advanced Techniques for Science and Engineering by : Ali Soofastaei

Download or read book Numerical Simulation - Advanced Techniques for Science and Engineering written by Ali Soofastaei and published by BoD – Books on Demand. This book was released on 2023-11-15 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical simulation is a powerful tool used in various fields of science and engineering to model complex systems and predict their behavior. It involves developing mathematical models that describe the behavior of a system and using computer algorithms to solve these models numerically. By doing so, researchers and engineers can study the behavior of a system in detail, which may only be possible with analytical methods. Numerical simulation has many advantages over traditional analytical methods. It allows researchers and engineers to study complex systems’ behavior in detail and predict their behavior in different scenarios. It also allows for the optimization of systems and the identification of design flaws before they are built. However, numerical simulation has its limitations. It requires significant computational resources, and the accuracy of the results depends on the quality of the mathematical models and the discretization methods used. Nevertheless, numerical simulation remains a valuable tool in many fields and its importance is likely to grow as computational resources become more powerful and widely available. Numerical simulation is widely used in physics, engineering, computer science, and mathematics. In physics, for example, numerical simulation is used to study the behavior of complex systems such as weather patterns, fluid dynamics, and particle interactions. In engineering, it is used to design and optimize systems such as aircraft, cars, and buildings. In computer science, numerical simulation models and optimization algorithms and data structures. In mathematics, it is used to study complex mathematical models and to solve complex equations. This book familiarizes readers with the practical application of the numerical simulation technique to solve complex analytical problems in different industries and sciences.

Monte Carlo Simulation and Resampling Methods for Social Science

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Author :
Publisher : SAGE Publications
ISBN 13 : 1483324923
Total Pages : 304 pages
Book Rating : 4.4/5 (833 download)

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Book Synopsis Monte Carlo Simulation and Resampling Methods for Social Science by : Thomas M. Carsey

Download or read book Monte Carlo Simulation and Resampling Methods for Social Science written by Thomas M. Carsey and published by SAGE Publications. This book was released on 2013-08-05 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, Monte Carlo Simulation and Resampling Methods for Social Science, by Thomas M. Carsey and Jeffrey J. Harden, examines abstract principles, such as bias, efficiency, and measures of uncertainty in an intuitive, visual way. Instead of thinking in the abstract about what would happen to a particular estimator "in repeated samples," the book uses simulation to actually create those repeated samples and summarize the results. The book includes basic examples appropriate for readers learning the material for the first time, as well as more advanced examples that a researcher might use to evaluate an estimator he or she was using in an actual research project. The book also covers a wide range of topics related to Monte Carlo simulation, such as resampling methods, simulations of substantive theory, simulation of quantities of interest (QI) from model results, and cross-validation. Complete R code from all examples is provided so readers can replicate every analysis presented using R.

Modeling and Simulation in the Medical and Health Sciences

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1118003195
Total Pages : 270 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Modeling and Simulation in the Medical and Health Sciences by : John A. Sokolowski

Download or read book Modeling and Simulation in the Medical and Health Sciences written by John A. Sokolowski and published by John Wiley & Sons. This book was released on 2012-01-25 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book is divided into three parts: Fundamentals of Medical and Health Sciences Modeling and Simulation introduces modeling and simulation in the medical and health sciences; Medical and Health Sciences Models provides the theoretical underpinnings of medical and health sciences modeling; and Modeling and Simulation Applications in Medical and Health Sciences focuses on teaching, training, and research applications. The book begins with a general discussion of modeling and simulation from the modeling and simulation discipline perspective. This discussion grounds the reader in common terminology. It also relates this terminology to concepts found in the medical and health care (MHC) area to help bridge the gap between developers and MHC practitioners. Three distinct modes of modeling and simulation are described: live, constructive, and virtual. The live approach explains the concept of using real (live) people employing real equipment for training purposes. The constructive mode is a means of engaging medical modeling and simulation. In constructive simulation, simulated people and simulated equipment are developed to augment real-world conditions for training or experimentation purposes. The virtual mode is perhaps the most fascinating as virtual operating rooms and synthetic training environments are being produced for practitioners and educators at break-neck speed. In this mode, real people are employing simulated equipment to improve physical skills and decision-making ability.

Multiscale Modeling and Simulation of Shock Wave-Induced Failure in Materials Science

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Author :
Publisher : Springer
ISBN 13 : 3658211342
Total Pages : 224 pages
Book Rating : 4.6/5 (582 download)

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Book Synopsis Multiscale Modeling and Simulation of Shock Wave-Induced Failure in Materials Science by : Martin Oliver Steinhauser

Download or read book Multiscale Modeling and Simulation of Shock Wave-Induced Failure in Materials Science written by Martin Oliver Steinhauser and published by Springer. This book was released on 2018-02-24 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Martin Oliver Steinhauser deals with several aspects of multiscale materials modeling and simulation in applied materials research and fundamental science. He covers various multiscale modeling approaches for high-performance ceramics, biological bilayer membranes, semi-flexible polymers, and human cancer cells. He demonstrates that the physics of shock waves, i.e., the investigation of material behavior at high strain rates and of material failure, has grown to become an important interdisciplinary field of research on its own. At the same time, progress in computer hardware and software development has boosted new ideas in multiscale modeling and simulation. Hence, bridging the length and time scales in a theoretical-numerical description of materials has become a prime challenge in science and technology.

Clinical Simulation

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Author :
Publisher : Academic Press
ISBN 13 : 0128156589
Total Pages : 992 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Clinical Simulation by : Gilles Chiniara

Download or read book Clinical Simulation written by Gilles Chiniara and published by Academic Press. This book was released on 2019-08-21 with total page 992 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clinical Simulation: Education, Operations and Engineering, Second Edition, offers readers a restructured, comprehensive and updated approach to learn about simulation practices and techniques in a clinical setting. Featuring new and revised chapters from the industry’s top researchers and educators, this release gives readers the most updated data through modern pedagogy. This new edition has been restructured to highlight five major components of simulation education, including simulation scenarios as tools, student learning, faculty teaching, necessary subject matter, and the learning environment. With clear and efficient organization throughout the book, users will find this to be an ideal text for students and professionals alike. Edited by a leading educator, consultant and practitioner in the clinical simulation field Redesigned structure emphasizes the five components of simulation pedagogy Contains over 30 new chapters that feature the most up-to-date industry information and practices