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Libros sobre el tema "Network thermodynamics"

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Publicado: 1 de marzo de 2025

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1

Peusner, Leonardo. Studies in network thermodynamics. Amsterdam: Elsevier, 1986.

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2

Germany) Minisymposium on Thermodynamics of Surfaces (1995 Berlin. Thermodynamics of surfaces: Minisymposium, May 11-13, 1995 : European Thermodynamics Network, thermodynamics of complex systems. Berlin: Technische Universität Berlin, 1996.

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3

Peusner, L. The principles of network thermodynamics: Theory and biophysical applications. Lincoln, Mass: Entropy Ltd., 1987.

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4

Piotrowska, Ewa. Zastępcza sieć cieplna wymiennika ciepła pracującego w stanach przejściowych: The equivalent thermal network for heat exchanger working in the transient states. Warszawa: Wydawnictwo SGGW, 2013.

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5

Meeting, American Society of Mechanical Engineers Winter. Network thermodynamics, heat and mass transfer in biotechnology: Presented at the Winter Annual Meeting of the American Society of Mechanical Engineers, Boston, Massachusetts, December 13-18, 1987 : sponsored by the Bioengineering Division, ASME, the Heat Transfer Division, ASME. New York: American Society of Mechanical Engineers, 1987.

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6

American Society of Mechanical Engineers. Winter Meeting. Network thermodynamics, heat and mass transfer in biotechnology: Presented at the Winter Annual Meeting of the American Society of Mechanical Engineers, Boston, Massachusetts, December 13-18, 1987. New York, N.Y. (345 E. 47th St., New York 10017): ASME, 1987.

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7

Bejan, Adrian y Giuseppe Grazzini, eds. Shape and Thermodynamics. Florence: Firenze University Press, 2008. http://dx.doi.org/10.36253/978-88-8453-836-9.

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Shape and Thermodynamics is a two-day international Workshop focused on the Constructal Theory of generation of configuration in nature and engineering. From the early developments related to tree configurations for the cooling of electronics, today Constructal theory is being applied to conceptual design of transportation net-works, river basins, living bodies, building materials and many other flow systems. Constructal theory is also enriching thermo-dynamics, from basic theory to design and optimization. This theory approaches design "as science", with the generation of configuration regarded as a phenomenon of all physics, based on principle (the Constructal law). For example, Constructal Theory contributes to the evolution of fuel cells, in the design of cooling channels, the optimal feeding of reactants, etc. Important applications are also found in the design of heat exchangers, district heating networks, etc. The growing scientific literature on Constructal Theory has an important Italian component, although further dissemination is timely. Moreover, the relation with other thermodynamic research areas deserves to be explored. Website: Shape and Thermodinamics
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8

Ito, Sosuke. Information Thermodynamics on Causal Networks and its Application to Biochemical Signal Transduction. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1664-6.

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9

Müller, Berndt. Neural networks: An introduction. 2a ed. Berlin: Springer-Verlag, 1991.

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10

Müller, Berndt. Neural networks: An introduction. 2a ed. Berlin: Springer, 1995.

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11

Mohebbi, Ali. Modeling of thermodynamic properties of refrigerants using artificial neural networks and genetic algorithms. Hauppauge, N.Y: Nova Science Publishers, 2010.

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12

U, Bastolla, ed. Structural approaches to sequence evolution: Molecules, networks, populations. Berlin: Springer, 2007.

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13

Desideri, Umberto, Giampaolo Manfrida y Enrico Sciubba, eds. ECOS 2012. Florence: Firenze University Press, 2012. http://dx.doi.org/10.36253/978-88-6655-322-9.

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The 8-volume set contains the Proceedings of the 25th ECOS 2012 International Conference, Perugia, Italy, June 26th to June 29th, 2012. ECOS is an acronym for Efficiency, Cost, Optimization and Simulation (of energy conversion systems and processes), summarizing the topics covered in ECOS: Thermodynamics, Heat and Mass Transfer, Exergy and Second Law Analysis, Process Integration and Heat Exchanger Networks, Fluid Dynamics and Power Plant Components, Fuel Cells, Simulation of Energy Conversion Systems, Renewable Energies, Thermo-Economic Analysis and Optimisation, Combustion, Chemical Reactors, Carbon Capture and Sequestration, Building/Urban/Complex Energy Systems, Water Desalination and Use of Water Resources, Energy Systems- Environmental and Sustainability Issues, System Operation/ Control/Diagnosis and Prognosis, Industrial Ecology.
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14

service), SpringerLink (Online, ed. Introduction to Thermoelectricity. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2009.

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15

Ferdinand, Cap y International Centre for Mechanical Sciences., eds. Waves and instabilities in plasmas. Wien: Springer-Verlag, 1994.

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16

Litvinov, G. L. (Grigoriĭ Lazarevich), 1944- editor of compilation y Sergeev, S. N., 1981- editor of compilation, eds. Tropical and idempotent mathematics and applications: International Workshop on Tropical and Idempotent Mathematics, August 26-31, 2012, Independent University, Moscow, Russia. Providence, Rhode Island: American Mathematical Society, 2014.

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17

Studies in network thermodynamics. Amsterdam: Elsevier, 1986.

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18

Suzuki, Takashi. Chemotaxis, Reaction, Network: Mathematics for Self-Organization. World Scientific Publishing Co Pte Ltd, 2018.

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19

Applications of network thermodynamics to problems in biomedical engineering. New York: New York University Press, 1993.

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20

Mikulecky, Donald. Introduction to Network Thermodynamics and Relational Systems Theory: Applications to Complex Systems. Wiley & Sons, Incorporated, John, 2017.

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21

Diller. Network Thermodynamics Heat and Mass Transfer in Biotechnology/Asme Bed Vol. 5. Htd Vol. 90. /G00411. Amer Society of Mechanical, 1987.

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22

Thermodynamic Network Analysis of Biological Systems. Springer London, Limited, 2012.

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23

Boudreau, Joseph F. y Eric S. Swanson. Classical spin systems. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0020.

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The thermodynamic properties of spin systems are evaluated with Monte Carlo methods. A review of classical thermodynamics is followed by a discussion of critical exponents. The Monte Carlo method is then applied to the two-dimensional Ising model with the goal of determining the phase diagram for magnetization. Boundary conditions, the reweighting method, autocorrelation, and critical slowing down are all explored. Cluster algorithms for overcoming critical slowing down are developed next and shown to dramatically reduce autocorrelation. A variety of spin systems that illustrate first, second, and infinite order (topological) phase transitions are explored. Finally, applications to random systems called spin glasses and to neural networks are briefly reviewed.
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24

Multiscale modeling and simulation in science. Berlin: Springer, 2009.

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25

Schmuck, Markus. Complex Heterogeneous Systems: Thermodynamics, Information Theory, Composites, Networks, and Electrochemistry. de Gruyter GmbH, Walter, 2024.

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26

Schmuck, Markus. Complex Heterogeneous Systems: Thermodynamics, Information Theory, Composites, Networks, and Electrochemistry. de Gruyter GmbH, Walter, 2024.

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27

Schmuck, Markus. Complex Heterogeneous Systems: Thermodynamics, Information Theory, Composites, Networks, and Electrochemistry. de Gruyter GmbH, Walter, 2024.

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28

Steane, Andrew. The Structure of Science, Part 1. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198824589.003.0003.

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The first major theme of the book is introduced. This is that science does not present a ladder or tower of explanation, but a network of mutually interacting and informing ideas. The digital computer is invoked to introduce the concept of low-level and high-level language. The role of symmetry and symmetry principles in physics is discussed at length. It is argued, in agreement with Anderson, that symmetry is central to fundamental physics, but, more importantly, it is shown that what symmetry offers is a subtle constraining influence that is not the same as cause and effect, but is nevertheless central to the concept of explanation and understanding. It is argued that the laws of thermodynamics and the laws of particle physics are in a relationship of mutual consistency with neither able to render the other superfluous. Numerous examples are invoked.
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29

Müller, Berndt y Joachim Reinhardt. Neural Networks: An Introduction (Physics of Neural Networks). Springer, 1991.

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30

Ito, Sosuke. Information Thermodynamics on Causal Networks and its Application to Biochemical Signal Transduction. Springer, 2018.

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31

Ito, Sosuke. Information Thermodynamics on Causal Networks and its Application to Biochemical Signal Transduction. Springer, 2016.

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32

Ito, Sosuke. Information Thermodynamics on Causal Networks and Its Application to Biochemical Signal Transduction. Springer London, Limited, 2016.

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33

Ito, Sosuke. Information Thermodynamics on Causal Networks and its Application to Biochemical Signal Transduction. Springer, 2016.

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34

Miller, Richard K. y J. Reinhardt. Neural Networks: An Introduction/With Diskette (Physics of Neural Networks). Springer, 1991.

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35

Müller, Berndt y Joachim Reinhardt. Neural Networks: An Introduction. Springer, 2013.

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36

Bastolla, Ugo, Markus Porto, Eduardo Roman y Michele Vendruscolo. Structural Approaches to Sequence Evolution: Molecules, Networks, Populations. Springer London, Limited, 2007.

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37

Bastolla, Ugo, Markus Porto, Eduardo Roman y Michele Vendruscolo. Structural Approaches to Sequence Evolution: Molecules, Networks, Populations. Springer Berlin / Heidelberg, 2010.

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38

Smith, Crosbie. Engineering Energy: Constructing a New Physics for Victorian Britain. Editado por Jed Z. Buchwald y Robert Fox. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199696253.013.18.

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This article focuses on the construction of the new sciences of thermodynamics and energy in Britain during the Victorian era, arguing that it occurred not simply within the broad contexts of industrialized engineering but that the new industries of marine engineering and the new sciences were, in specific local contexts on the Thames and on the Clyde, integral to one another. It begins with an account of James Thomson’s marine engineering networks centred on the Thames at Millwall, followed by a discussion on the work of his brother William at the Glasgow College laboratory. It then considers Robert Mansel’s development of an exceptionally sensitive thermometer before turning to the shipbuilding yards and marine engineering works of the Clyde at Glasgow, still in its relative infancy as the producer of the British Empire’s ocean steamers.
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39

(Editor), U. Bastolla, M. Porto (Editor), H. E. Roman (Editor) y M. Vendruscolo (Editor), eds. Structural Approaches to Sequence Evolution: Molecules, Networks, Populations (Biological and Medical Physics, Biomedical Engineering) (Biological and Medical Physics, Biomedical Engineering). Springer, 2007.

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40

Perdigão, Rui A. P. Unfolding the Manifold Flavours of Causality. Meteoceanics Institute, 2024. http://dx.doi.org/10.46337/mdsc.1804.

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The present work provides a contribution to an overarching cross-methodological causality investigation, encompassing a methodological synergy among physical, analytical, information-theoretic and systems intelligence approaches to causal discovery and quantification in complex system dynamics. These efforts methodologically lead to the emergence of a broader causal framework, valid not only in classical recurrence-based dynamical systems, but also on the generalized information physics of non-ergodic coevolutionary spatiotemporal complexity. This study begins with a comprehensive cross-examination of causality metrics derived from these diverse domains, by synthesizing causality insights from information theory, which enables the quantification of information flow among variables; differential geometry, which captures the curvature and structure of causal relationships; dynamical systems, which analyze the temporal evolution of systems and associated kinematic geometric properties; and fundamental physical metrics, which elucidate causal connections in the physical world from fundamental thermodynamic principles. Through this analysis, we aim to deepen our understanding of causality in complex systems, with physical process understanding and geophysical applications in mind. Having laid out some of the key methodological flavours of causality, the present communication introduces new metrics further contributing to a broader non-Shannonian information theoretic causality pool of methods, along with additional advances on quantum thermodymamical, nonlinear statistical mechanical, differential geometric and topologic approaches on causality. Positioning ourselves in a broader nonlinear non-Gaussian non-ergodic setting to tackle far-from-equilibrium structural-functional coevolution and synergistic emergence in complex system dynamics, our derivations further contribute to a new generation of information theoretic, dynamical systems and non-equilibrium thermodynamic causality approaches, along with their synergistic articulation towards a unified framework. This brings out further cross-methodological comparability, portability and complementary insights on dealing with the intricate causality of complex multiscale far-from-equilibrium Earth system dynamic phenomena. By unveiling manifold flavours of causality and their interconnections, this study brings out their commonalities, synergies, and further potential synergistic applications across disciplines. This interdisciplinary approach not only enhances our theoretical understanding of causality but also provides practical implications for applications in fields such as data science, network theory, and complex systems analysis, with direct relevance across a plethora of scientific, technical and operational fields.
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41

How to teach collaborative strategic reading: Classroom-ready materials to create better readers in mixed-ability classrooms. San Francisco: Jossey-Bass, 2012.

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