Nuclear Computational Science

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Nuclear Computational Science

Author : Yousry Azmy,Enrico Sartori
Publisher : Springer Science & Business Media
Page : 476 pages
File Size : 47,5 Mb
Release : 2010-04-15
Category : Technology & Engineering
ISBN : 9789048134113

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Nuclear Computational Science by Yousry Azmy,Enrico Sartori Pdf

Nuclear engineering has undergone extensive progress over the years. In the past century, colossal developments have been made and with specific reference to the mathematical theory and computational science underlying this discipline, advances in areas such as high-order discretization methods, Krylov Methods and Iteration Acceleration have steadily grown. Nuclear Computational Science: A Century in Review addresses these topics and many more; topics which hold special ties to the first half of the century, and topics focused around the unique combination of nuclear engineering, computational science and mathematical theory. Comprising eight chapters, Nuclear Computational Science: A Century in Review incorporates a number of carefully selected issues representing a variety of problems, providing the reader with a wealth of information in both a clear and concise manner. The comprehensive nature of the coverage and the stature of the contributing authors combine to make this a unique landmark publication. Targeting the medium to advanced level academic, this book will appeal to researchers and students with an interest in the progression of mathematical theory and its application to nuclear computational science.

Computational Nuclear Engineering and Radiological Science Using Python

Author : Ryan McClarren
Publisher : Academic Press
Page : 460 pages
File Size : 54,5 Mb
Release : 2017-10-27
Category : Technology & Engineering
ISBN : 9780128123713

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Computational Nuclear Engineering and Radiological Science Using Python by Ryan McClarren Pdf

Computational Nuclear Engineering and Radiological Science Using Python provides the necessary knowledge users need to embed more modern computing techniques into current practices, while also helping practitioners replace Fortran-based implementations with higher level languages. The book is especially unique in the market with its implementation of Python into nuclear engineering methods, seeking to do so by first teaching the basics of Python, then going through different techniques to solve systems of equations, and finally applying that knowledge to solve problems specific to nuclear engineering. Along with examples of code and end-of-chapter problems, the book is an asset to novice programmers in nuclear engineering and radiological sciences, teaching them how to analyze complex systems using modern computational techniques. For decades, the paradigm in engineering education, in particular, nuclear engineering, has been to teach Fortran along with numerical methods for solving engineering problems. This has been slowly changing as new codes have been written utilizing modern languages, such as Python, thus resulting in a greater need for the development of more modern computational skills and techniques in nuclear engineering. Offers numerical methods as a tool to solve specific problems in nuclear engineering Provides examples on how to simulate different problems and produce graphs using Python Supplies accompanying codes and data on a companion website, along with solutions to end-of-chapter problems

Computational Nuclear Physics 2

Author : K. Langanke,Joachim A. Maruhn,Steven E. Koonin
Publisher : Unknown
Page : 203 pages
File Size : 55,6 Mb
Release : 1993-01-01
Category : Hadron interactions
ISBN : 3540979549

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Computational Nuclear Physics 2 by K. Langanke,Joachim A. Maruhn,Steven E. Koonin Pdf

Uncertainty Quantification and Predictive Computational Science

Author : Ryan G. McClarren
Publisher : Springer
Page : 345 pages
File Size : 55,7 Mb
Release : 2018-11-23
Category : Science
ISBN : 9783319995250

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Uncertainty Quantification and Predictive Computational Science by Ryan G. McClarren Pdf

This textbook teaches the essential background and skills for understanding and quantifying uncertainties in a computational simulation, and for predicting the behavior of a system under those uncertainties. It addresses a critical knowledge gap in the widespread adoption of simulation in high-consequence decision-making throughout the engineering and physical sciences. Constructing sophisticated techniques for prediction from basic building blocks, the book first reviews the fundamentals that underpin later topics of the book including probability, sampling, and Bayesian statistics. Part II focuses on applying Local Sensitivity Analysis to apportion uncertainty in the model outputs to sources of uncertainty in its inputs. Part III demonstrates techniques for quantifying the impact of parametric uncertainties on a problem, specifically how input uncertainties affect outputs. The final section covers techniques for applying uncertainty quantification to make predictions under uncertainty, including treatment of epistemic uncertainties. It presents the theory and practice of predicting the behavior of a system based on the aggregation of data from simulation, theory, and experiment. The text focuses on simulations based on the solution of systems of partial differential equations and includes in-depth coverage of Monte Carlo methods, basic design of computer experiments, as well as regularized statistical techniques. Code references, in python, appear throughout the text and online as executable code, enabling readers to perform the analysis under discussion. Worked examples from realistic, model problems help readers understand the mechanics of applying the methods. Each chapter ends with several assignable problems. Uncertainty Quantification and Predictive Computational Science fills the growing need for a classroom text for senior undergraduate and early-career graduate students in the engineering and physical sciences and supports independent study by researchers and professionals who must include uncertainty quantification and predictive science in the simulations they develop and/or perform.

Numerical Methods and Computational Sciences Applied to Nuclear Energy

Author : Yue Jin,Jun Wang,Haomin Yuan,Fulvio Mascari,Shripad T. Revankar
Publisher : Frontiers Media SA
Page : 153 pages
File Size : 45,6 Mb
Release : 2022-11-11
Category : Technology & Engineering
ISBN : 9782832505182

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Numerical Methods and Computational Sciences Applied to Nuclear Energy by Yue Jin,Jun Wang,Haomin Yuan,Fulvio Mascari,Shripad T. Revankar Pdf

Trends and Perspectives in Modern Computational Science

Author : George Maroulis
Publisher : CRC Press
Page : 606 pages
File Size : 53,8 Mb
Release : 2006-10-27
Category : Computers
ISBN : 9789047418627

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Trends and Perspectives in Modern Computational Science by George Maroulis Pdf

Contains a collection of the lectures of the invited speakers presented at the International Conference of Computational methods in Science and Engineering (ICCMSE 2006), held in Chania, Greece, October 2006. This book presents developments of Computational Science pertinent to Physics, Chemistry, Biology, Medicine, Mathematics and Engineering.

Computational Nuclear Physics 2

Author : K. Langanke,J.A. Maruhn,S.E. Koonin
Publisher : Springer Science & Business Media
Page : 216 pages
File Size : 44,5 Mb
Release : 2012-12-06
Category : Science
ISBN : 9781461393351

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Computational Nuclear Physics 2 by K. Langanke,J.A. Maruhn,S.E. Koonin Pdf

Computation is essential to our modern understanding of nuclear systems. Although simple analytical models might guide our intuition, the complex ity of the nuclear many-body problem and the ever-increasing precision of experimental results require large-scale numerical studies for a quantitative understanding. Despite their importance, many nuclear physics computations remain something of a black art. A practicing nuclear physicist might be familiar with one or another type of computation, but there is no way to systemati cally acquire broad experience. Although computational methods and results are often presented in the literature, it is often difficult to obtain the working codes. More often than not, particular numerical expertise resides in one or a few individuals, who must be contacted informally to generate results; this option becomes unavailable when these individuals leave the field. And while the teaching of modern nuclear physics can benefit enormously from realistic computer simulations, there has been no source for much of the important material. The present volume, the second of two, is an experiment aimed at address ing some of these problems. We have asked recognized experts in various aspects of computational nuclear physics to codify their expertise in indi vidual chapters. Each chapter takes the form of a brief description of the relevant physics (with appropriate references to the literature), followed by a discussion of the numerical methods used and their embodiment in a FOR TRAN code. The chapters also contain sample input and test runs, as well as suggestions for further exploration.

The International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2023), August 13-17, 2023, Ontario

Author : The International conference on mathematics and computational methods applied to nuclear science and engineering
Publisher : Unknown
Page : 0 pages
File Size : 52,7 Mb
Release : 2023
Category : Electronic
ISBN : OCLC:1427465620

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The International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2023), August 13-17, 2023, Ontario by The International conference on mathematics and computational methods applied to nuclear science and engineering Pdf

Computational Science and High Performance Computing

Author : Egon Krause,Yurii I. Shokin,Nina Shokina
Publisher : Springer Science & Business Media
Page : 400 pages
File Size : 42,9 Mb
Release : 2006-08-10
Category : Technology & Engineering
ISBN : 9783540323761

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Computational Science and High Performance Computing by Egon Krause,Yurii I. Shokin,Nina Shokina Pdf

ThisvolumeispublishedastheproceedingsoftheRussian-GermanAdvanced Research workshop on Computational Science and High Performance C- puting in Novosibirsk Academgorodok in September 2003. The contributions of these proceedings were provided and edited by the authors, chosen after a careful selection and reviewing. The workshop was organized by the Institute of Computational Techno- gies SB RAS (Novosibirsk, Russia) and the High Performance Computing Center Stuttgart (Stuttgart, Germany). The objective was the discussion of the latest results in computational science and to develop a close coope- tion between Russian and German specialists in the above-mentioned ?eld. The main directions of the workshop are associated with the problems of computational hydrodynamics, application of mathematical methods to the development of new generation of materials, environment protection pr- lems, development of algorithms, software and hardware support for hi- performance computation, and designing modern facilities for visualization of computational modelling results. The importance of the workshop topics was con?rmed by the partici- tion of representatives of major research organizations engaged in the so- tion of the most complex problems of mathematical modelling, development of new algorithms, programs and key elements of new information techno- gies. Among the Russian participants were researchers of the Institutes of the Siberian Branch of the Russian Academy of Sciences: Institute of Com- tational Technologies, Institute of Computational Mathematics and Mat- matical Geophysics, Institute of Computational Modelling, Russian Federal Nuclear Center, All-Russian Research Institute of Experimental Physics, - merovo State University.

Computational Science – ICCS 2019

Author : João M. F. Rodrigues,Pedro J. S. Cardoso,Jânio Monteiro,Roberto Lam,Valeria V. Krzhizhanovskaya,Michael H. Lees,Jack J. Dongarra,Peter M.A. Sloot
Publisher : Springer
Page : 690 pages
File Size : 52,8 Mb
Release : 2019-06-07
Category : Computers
ISBN : 9783030227418

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Computational Science – ICCS 2019 by João M. F. Rodrigues,Pedro J. S. Cardoso,Jânio Monteiro,Roberto Lam,Valeria V. Krzhizhanovskaya,Michael H. Lees,Jack J. Dongarra,Peter M.A. Sloot Pdf

The five-volume set LNCS 11536, 11537, 11538, 11539 and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019. The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track; Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems Part IV: Track of Data-Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Marine Computing in the Interconnected World for the Benefit of the Society; Track of Multiscale Modelling and Simulation; Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Part V: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Track ICCS 2019 Chapter “Comparing Domain-decomposition Methods for the Parallelization of Distributed Land Surface Models” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

High Performance Computing for Computational Science - VECPAR 2006

Author : Michel Daydé
Publisher : Springer Science & Business Media
Page : 742 pages
File Size : 54,7 Mb
Release : 2007-04-02
Category : Computers
ISBN : 9783540713500

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High Performance Computing for Computational Science - VECPAR 2006 by Michel Daydé Pdf

This book constitutes the thoroughly refereed post-proceedings of the 7th International Conference on High Performance Computing for Computational Science, VECPAR 2006, held in Rio de Janeiro, Brazil, in June 2006. The 44 revised full papers presented together with one invited paper and 12 revised workshop papers cover Grid computing, cluster computing, numerical methods, large-scale simulations in Physics, and computing in Biosciences.

Advances of Computational Fluid Dynamics in Nuclear Reactor Design and Safety Assessment

Author : Jyeshtharaj Joshi,Arun K Nayak
Publisher : Woodhead Publishing
Page : 888 pages
File Size : 49,5 Mb
Release : 2019-06-15
Category : Science
ISBN : 9780081023372

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Advances of Computational Fluid Dynamics in Nuclear Reactor Design and Safety Assessment by Jyeshtharaj Joshi,Arun K Nayak Pdf

Advances of Computational Fluid Dynamics in Nuclear Reactor Design and Safety Assessment presents the latest computational fluid dynamic technologies. It includes an evaluation of safety systems for reactors using CFD and their design, the modeling of Severe Accident Phenomena Using CFD, Model Development for Two-phase Flows, and Applications for Sodium and Molten Salt Reactor Designs. Editors Joshi and Nayak have an invaluable wealth of experience that enables them to comment on the development of CFD models, the technologies currently in practice, and the future of CFD in nuclear reactors. Readers will find a thematic discussion on each aspect of CFD applications for the design and safety assessment of Gen II to Gen IV reactor concepts that will help them develop cost reduction strategies for nuclear power plants. Presents a thematic and comprehensive discussion on each aspect of CFD applications for the design and safety assessment of nuclear reactors Provides an historical review of the development of CFD models, discusses state-of-the-art concepts, and takes an applied and analytic look toward the future Includes CFD tools and simulations to advise and guide the reader through enhancing cost effectiveness, safety and performance optimization

A Survey of Computational Physics

Author : Rubin H. Landau,José Páez,Cristian C. Bordeianu
Publisher : Princeton University Press
Page : 688 pages
File Size : 42,9 Mb
Release : 2011-10-30
Category : Science
ISBN : 9781400841189

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A Survey of Computational Physics by Rubin H. Landau,José Páez,Cristian C. Bordeianu Pdf

Computational physics is a rapidly growing subfield of computational science, in large part because computers can solve previously intractable problems or simulate natural processes that do not have analytic solutions. The next step beyond Landau's First Course in Scientific Computing and a follow-up to Landau and Páez's Computational Physics, this text presents a broad survey of key topics in computational physics for advanced undergraduates and beginning graduate students, including new discussions of visualization tools, wavelet analysis, molecular dynamics, and computational fluid dynamics. By treating science, applied mathematics, and computer science together, the book reveals how this knowledge base can be applied to a wider range of real-world problems than computational physics texts normally address. Designed for a one- or two-semester course, A Survey of Computational Physics will also interest anyone who wants a reference on or practical experience in the basics of computational physics. Accessible to advanced undergraduates Real-world problem-solving approach Java codes and applets integrated with text Companion Web site includes videos of lectures

Computational Nuclear Physics 1

Author : K. Langanke,Joachim A. Maruhn,Steven E. Koonin
Publisher : Springer
Page : 232 pages
File Size : 55,5 Mb
Release : 1991
Category : Science
ISBN : UOM:39015021864577

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Computational Nuclear Physics 1 by K. Langanke,Joachim A. Maruhn,Steven E. Koonin Pdf