Tag: Entropy

High-Entropy Materials Theory, Experiments, and Applications (2024)


Free Download High-Entropy Materials: Theory, Experiments, and Applications by Jamieson Brechtl
English | EPUB | 2022 | 776 Pages | ISBN : 3030776409 | 175.8 MB
This book discusses fundamental studies involving the history, modelling, simulation, experimental work, and applications on high-entropy materials. Topics include data-driven and machine-learning approaches, additive-manufacturing techniques, computational and analytical methods, such as density functional theory and multifractal analysis, mechanical behavior, high-throughput methods, and irradiation effects. The types of high-entropy materials consist of alloys, oxides, and ceramics. The book then concludes with a discussion on potential future applications of these novel materials.

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Entropy and the Second Law of Thermodynamics


Free Download Entropy and the Second Law of Thermodynamics: … or Why Things Tend to Go Wrong and Seem to Get Worse
English | 2023 | ISBN: 3031349490 | 206 Pages | PDF EPUB (True) | 20 MB
This book is a brief and accessible popular science text intended for a broad audience and of particular interest also to science students and specialists. Using a minimum of mathematics, a number of qualitative and quantitative examples, and clear illustrations, the author explains the science of thermodynamics in its full historical context, focusing on the concepts of energy and its availability and transformation in thermodynamic processes. His ultimate aim is to gain a deep understanding of the second law-the increase of entropy-and its rather disheartening message of a universe descending inexorably into chaos and disorder. It also examines the connection between the second law and why things go wrong in our daily lives. Readers will enhance their science literacy and feel more at home on the science side of author C. P. Snow’s celebrated two-culture, science-humanities divide, and hopefully will feel more at home in the universe knowing that the disorder we deal with in our daily lives is not anyone’s fault but Nature’s.

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Simulation with Entropy in Engineering Thermodynamics Understanding Matter and Systems with Bondgraphs


Free Download Simulation with Entropy in Engineering Thermodynamics: Understanding Matter and Systems with Bondgraphs by Jean Thoma , Gianni Mocellin
English | PDF | 2006 | 140 Pages | ISBN : 3540327983 | 3 MB
It is with great pleasure that we present this book to the public. In principle it is about thermodynamics, especially the simulation of thermo?uid systems. In popular opinion, thermodynamics is considered to be highly abstract and di?cult to comprehend with its many symbols. We endeavor to show the reader how simple and beautiful thermodynamics really is. To achieve this simplicity we apply two innovations: Forus,entropyisasubstance-likeconcept,akindofthermalcharge,analogous to the well-known electric charge, and not the abstract and incomprehensible Clausius integral. This is by no means a new idea: apart from Sadi Carnot himself, people such as Callendar (1911), Job (1971), Falk (1976) and Fuchs (1996) all adopt the same point of view. We stress where thermal charge is analogous with electric charge and also point out the di?erences between them. To represent thermal systems we use Bondgraphs (BG), which are admirably suited to this purpose. They allow us to avoid many complex equations with numerous subscripts and superscripts. Of course, literature on BG abounds, including three books by present co-author Prof. Thoma and several other books published by Springer. We use BG more as a means to clarify the nature of physical variables and theiranalogiesinother?eldsratherthanfromtheviewpointofelectronicdata processing. For example, the di?erence between c (speci?c heat at constant v volume)andc (speci?cheatatconstantpressure)iscommontoallmultipo- p Cs; and BG make this very clear.

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Entropy, Water and Resources An Essay in Natural Sciences-Consistent Economics


Free Download Entropy, Water and Resources: An Essay in Natural Sciences-Consistent Economics by Horst Niemes , Mario Schirmer
English | PDF | 2010 | 219 Pages | ISBN : 3790824151 | 3 MB
This book lies at the intersection of natural sciences, economics, and water en- neering and is in line with the long tradition of environmental economics at the University of Heidelberg. In the 1970s, the Neo-Austrian Capital Theory was developed using the fundamental laws of thermodynamics as a common language between the natural and social sciences. Niemes (1981) integrated the dynamic and irreversibility characteristics of the natural environment into the Neo-Austrian c- ital theory. Faber et al. (1983, 1987, 1995) then extended this interdisciplinary approach further to create a comprehensive, dynamic, environmental resource model. Over the last 3 decades, the theoretical foundations of environmental economics have been modi ed and there have been an impressive variety of applications. This book aims to reduce the gaps between economic theory, natural sciences, and engineering practice. One of the reasons these gaps exist is because economic assumptions are used to construct dynamic environmental and resource models, which are not consistent with the fundamental laws of the natural sciences. Another reason for the gap might be the distance between academic theory and real world situations. Based on an extended thermodynamic approach, the authors explain which economic assumptions are acceptable for constructing a dynamic model that is consistent with the natural sciences. In particular, the special role of water in the production and reproduction activities will be considered as an integral component.

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Entropy and Energy A Universal Competition


Free Download Entropy and Energy: A Universal Competition by Ingo Müller , Wolf Weiss
English | PDF | 2005 | 267 Pages | ISBN : 3540242813 | 3.2 MB
"Entropy and Energy- a Universal Competition" is a students textbook as well as a scientific monograph. The concepts of entropy and energy embody the effects of random walk in a body and of deterministic strife respectively, and are therefore often in competition. The book gives instructive examples from elementary thermodynamics and physico-chemistry and extrapolates the notion to non-standard thermodynamic subjects like shape memory, dissipation of the earth’s atmosphere, and sociology. The works of the thermodynamic pioneers are presented, in particular Clausius, Carathéodory, Boltzmann, Gibbs, and Planck. The laws of thermodynamics and their limitations are discussed; also the pertinacious Gibbs paradox. The reader has numerous possibilities to influence the programs and thus develop an understanding for the thermodynamic principles.

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Entropy Measures, Maximum Entropy Principle and Emerging Applications


Free Download Entropy Measures, Maximum Entropy Principle and Emerging Applications by Karmeshu
English | PDF | 2003 | 299 Pages | ISBN : 3540002421 | 26.6 MB
The last two decades have witnessed an enormous growth with regard to ap plications of information theoretic framework in areas of physical, biological, engineering and even social sciences. In particular, growth has been spectac ular in the field of information technology,soft computing,nonlinear systems and molecular biology. Claude Shannon in 1948 laid the foundation of the field of information theory in the context of communication theory. It is in deed remarkable that his framework is as relevant today as was when he 1 proposed it. Shannon died on Feb 24, 2001. Arun Netravali observes "As if assuming that inexpensive, high-speed processing would come to pass, Shan non figured out the upper limits on communication rates. First in telephone channels, then in optical communications, and now in wireless, Shannon has had the utmost value in defining the engineering limits we face". Shannon introduced the concept of entropy. The notable feature of the entropy frame work is that it enables quantification of uncertainty present in a system. In many realistic situations one is confronted only with partial or incomplete information in the form of moment, or bounds on these values etc. ; and it is then required to construct a probabilistic model from this partial information. In such situations, the principle of maximum entropy provides a rational ba sis for constructing a probabilistic model. It is thus necessary and important to keep track of advances in the applications of maximum entropy principle to ever expanding areas of knowledge.

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