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Scientific Computing and Algorithms in Industrial Simulations

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Cover of 'Scientific Computing and Algorithms in Industrial Simulations'

Table of Contents

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    Book Overview
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    Chapter 1 Calculation of Chemical Equilibria in Multi-Phase: Multicomponent Systems
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    Chapter 2 LC-GAP: Localized Coulomb Descriptors for the Gaussian Approximation Potential
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    Chapter 3 River Bed Morphodynamics: Metamodeling, Reliability Analysis, and Visualization in a Virtual Environment
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    Chapter 4 Cooling Circuit Simulation I: Modeling
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    Chapter 5 Algebraic Multigrid: From Academia to Industry
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    Chapter 6 Parallel Algebraic Multigrid
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    Chapter 7 MpCCI: Neutral Interfaces for Multiphysics Simulations
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    Chapter 8 Cooling Circuit Simulation II: A Numerical Example
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    Chapter 9 The LAMA Approach for Writing Portable Applications on Heterogenous Architectures
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    Chapter 10 ModelCompare
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    Chapter 11 Rapid Enriched Simulation Application Development with PUMA
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    Chapter 12 Applying CFD for the Design of an Air-Liquid Interface In-Vitro Testing Method for Inhalable Compounds
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    Chapter 13 A Mapping Procedure for the Computation of Flow-Induced Vibrations in Turbomachinery
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    Chapter 14 Molecular Dynamics Simulation of Membrane Free Energy Profiles Using Accurate Force Field for Ionic Liquids
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    Chapter 15 The cloud4health Project: Secondary Use of Clinical Data with Secure Cloud-Based Text Mining Services
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    Chapter 16 Dimensionality Reduction for the Analysis of Time Series Data from Wind Turbines
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    Chapter 17 Energy-Efficiency and Performance Comparison of Aerosol Optical Depth Retrieval on Distributed Embedded SoC Architectures
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    Chapter 18 The Fraunhofer Institute for Algorithms and Scientific Computing SCAI
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Citations

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9 Mendeley
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Title
Scientific Computing and Algorithms in Industrial Simulations
Published by
Springer International Publishing, October 2017
DOI 10.1007/978-3-319-62458-7
ISBNs
978-3-31-962457-0, 978-3-31-962458-7
Editors

Griebel, Michael, Schüller, Anton, Schweitzer, Marc Alexander

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 44%
Researcher 1 11%
Lecturer 1 11%
Student > Master 1 11%
Unknown 2 22%
Readers by discipline Count As %
Engineering 5 56%
Computer Science 1 11%
Unknown 3 33%