Computational Soft Matter From Synthetic Polymers To Proteins
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Computational Soft Matter From Synthetic Polymers To Proteins
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Author : Norbert Attig
language : en
Publisher:
Release Date : 2004
Computational Soft Matter From Synthetic Polymers To Proteins written by Norbert Attig and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.
Modeling And Diagnostics Of Polymer Electrolyte Fuel Cells
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Author : Ugur Pasaogullari
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-07-23
Modeling And Diagnostics Of Polymer Electrolyte Fuel Cells written by Ugur Pasaogullari and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-23 with Science categories.
This volume, presented by leading experts in the field, covers the latest advances in diagnostics and modeling of polymer electrolyte fuel cells, from understanding catalyst layer durability to start-up under freezing conditions.
Computational Soft Matter From Synthetic Polymers To Proteins
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Author :
language : en
Publisher:
Release Date : 2004
Computational Soft Matter From Synthetic Polymers To Proteins written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.
Computer Simulations In Condensed Matter From Materials To Chemical Biology Volume 2
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Author : Mauro Ferrario
language : en
Publisher: Springer
Release Date : 2007-04-16
Computer Simulations In Condensed Matter From Materials To Chemical Biology Volume 2 written by Mauro Ferrario and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-16 with Science categories.
This extensive and comprehensive collection of lectures by world-leading experts in the field introduces and reviews all relevant computer simulation methods and their applications in condensed matter systems. Volume 2 offers surveys on numerical experiments carried out for a great number of systems, ranging from materials sciences to chemical biology, including supercooled liquids, spin glasses, colloids, polymers, liquid crystals, biological membranes and folding proteins.
Dynamics Of Soft Matter
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Author : VICTORIA GARCIA SAKAI
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-12-18
Dynamics Of Soft Matter written by VICTORIA GARCIA SAKAI and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-18 with Technology & Engineering categories.
Dynamics of Soft Matter: Neutron Applications provides an overview of neutron scattering techniques that measure temporal and spatial correlations simultaneously, at the microscopic and/or mesoscopic scale. These techniques offer answers to new questions arising at the interface of physics, chemistry, and biology. Knowledge of the dynamics at these levels is crucial to understanding the soft matter field, which includes colloids, polymers, membranes, biological macromolecules, foams, emulsions towards biological & biomimetic systems, and phenomena involving wetting, friction, adhesion, or microfluidics. Emphasizing the complementarities of scattering techniques with other spectroscopic ones, this volume also highlights the potential gain in combining techniques such as rheology, NMR, light scattering, dielectric spectroscopy, as well as synchrotron radiation experiments. Key areas covered include polymer science, biological materials, complex fluids and surface science.
Computational Pharmaceutical Solid State Chemistry
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Author : Yuriy A. Abramov
language : en
Publisher: John Wiley & Sons
Release Date : 2016-04-27
Computational Pharmaceutical Solid State Chemistry written by Yuriy A. Abramov and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-27 with Science categories.
This book is the first to combine computational material science and modeling of molecular solid states for pharmaceutical industry applications. • Provides descriptive and applied state-of-the-art computational approaches and workflows to guide pharmaceutical solid state chemistry experiments and to support/troubleshoot API solid state selection • Includes real industrial case examples related to application of modeling methods in problem solving • Useful as a supplementary reference/text for undergraduate, graduate and postgraduate students in computational chemistry, pharmaceutical and biotech sciences, and materials science
Heat Transfer
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Author : Salim Newaz Kazi
language : en
Publisher: BoD – Books on Demand
Release Date : 2015-07-29
Heat Transfer written by Salim Newaz Kazi and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-29 with Technology & Engineering categories.
In the wake of energy crisis due to rapid growth of industries, the efficient heat transfer could play a vital role in energy saving. Industries, household equipment, transportation, offices, etc., all are dependent on heat exchanging equipment. Considering this, the book has incorporated different chapters on heat transfer phenomena, analytical and experimental heat transfer investigations, heat transfer enhancement and applications.
Bayesian Signal Processing
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Author : James V. Candy
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-20
Bayesian Signal Processing written by James V. Candy and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-20 with Science categories.
New Bayesian approach helps you solve tough problems in signal processing with ease Signal processing is based on this fundamental concept—the extraction of critical information from noisy, uncertain data. Most techniques rely on underlying Gaussian assumptions for a solution, but what happens when these assumptions are erroneous? Bayesian techniques circumvent this limitation by offering a completely different approach that can easily incorporate non-Gaussian and nonlinear processes along with all of the usual methods currently available. This text enables readers to fully exploit the many advantages of the "Bayesian approach" to model-based signal processing. It clearly demonstrates the features of this powerful approach compared to the pure statistical methods found in other texts. Readers will discover how easily and effectively the Bayesian approach, coupled with the hierarchy of physics-based models developed throughout, can be applied to signal processing problems that previously seemed unsolvable. Bayesian Signal Processing features the latest generation of processors (particle filters) that have been enabled by the advent of high-speed/high-throughput computers. The Bayesian approach is uniformly developed in this book's algorithms, examples, applications, and case studies. Throughout this book, the emphasis is on nonlinear/non-Gaussian problems; however, some classical techniques (e.g. Kalman filters, unscented Kalman filters, Gaussian sums, grid-based filters, et al) are included to enable readers familiar with those methods to draw parallels between the two approaches. Special features include: Unified Bayesian treatment starting from the basics (Bayes's rule) to the more advanced (Monte Carlo sampling), evolving to the next-generation techniques (sequential Monte Carlo sampling) Incorporates "classical" Kalman filtering for linear, linearized, and nonlinear systems; "modern" unscented Kalman filters; and the "next-generation" Bayesian particle filters Examples illustrate how theory can be applied directly to a variety of processing problems Case studies demonstrate how the Bayesian approach solves real-world problems in practice MATLAB notes at the end of each chapter help readers solve complex problems using readily available software commands and point out software packages available Problem sets test readers' knowledge and help them put their new skills into practice The basic Bayesian approach is emphasized throughout this text in order to enable the processor to rethink the approach to formulating and solving signal processing problems from the Bayesian perspective. This text brings readers from the classical methods of model-based signal processing to the next generation of processors that will clearly dominate the future of signal processing for years to come. With its many illustrations demonstrating the applicability of the Bayesian approach to real-world problems in signal processing, this text is essential for all students, scientists, and engineers who investigate and apply signal processing to their everyday problems.
Modelling Of Chemical Process Systems
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Author : Syed Ahmad Imtiaz
language : en
Publisher: Elsevier
Release Date : 2023-07-25
Modelling Of Chemical Process Systems written by Syed Ahmad Imtiaz and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-25 with Technology & Engineering categories.
Models and simulations are widely being used for design, optimization, fault detection and diagnosis, and various other decision-making purposes. Increasingly, models are developed at different scales and levels, all the way from molecular level to the large-scale process systems scale. Modelling of Chemical Process Systems gives readers a feel for the multiscale modelling. As models have been developed for various applications, a general systematic method for building model has emerged. This book starts with the history of modelling and its usefulness, describing modelling steps in detail. Examples have been chosen carefully from both conventional chemical process systems to contemporary systems, including fuel cell and bioprocesses. Modelling theories are complemented with case studies that explain step-by-step modelling methodologies. This book also introduces the application of machine learning techniques to model chemical process systems. This makes the book an indispensable reference for academics and professionals working in modelling and simulation. - Includes case studies that explain step-by-step modelling methodologies - Covers detailed multiscale modelling of chemical processes, providing examples from traditional and novel areas - Provides modelling insight at micro and macro-scale levels, including machine learning techniques
Smart Modelling For Engineering Systems
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Author : Margarita N. Favorskaya
language : en
Publisher: Springer Nature
Release Date : 2021-01-30
Smart Modelling For Engineering Systems written by Margarita N. Favorskaya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-30 with Technology & Engineering categories.
This book is a collection of research papers selected for presentation at the International Conference on Smart Computational Methods in Continuum Mechanics 2021, organized by Moscow Institute of Physics and Technology and the Institute for Computer Aided Design of Russian Academy of Sciences. The work is presented in two volumes. The primary objective of the book is to report the state-of-the-art on smart computational paradigms in continuum mechanics and explore the use of artificial intelligence paradigms such as neural nets and machine learning for improving the performance of the designed engineering systems. The book includes up-to-date smart computational methods which are used to solve problems in continuum mechanics, engineering, seismic prospecting, non-destructive testing, and so on. The main features of the book are the research papers on the application of novel smart methods including neural nets and machine learning, computational algorithms, smart software systems, and high-performance computer systems for solving complex engineering problems. The case studies pertaining to the real-world applications in the above fields are included. The book presents a collection of best research papers in English language from some of the world leaders in the field of smart system modelling and design of engineering systems.