Relevant bibliographies by topics / Network thermodynamics

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Network thermodynamics'

Author: Grafiati
Published: 1 March 2025

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Journal articles on the topic "Network thermodynamics"

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Wampler, Taylor, and Andre C. Barato. "Skewness and kurtosis in stochastic thermodynamics." Journal of Physics A: Mathematical and Theoretical 55, no. 1 (2021): 014002. http://dx.doi.org/10.1088/1751-8121/ac3b0c.

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Abstract The thermodynamic uncertainty relation is a prominent result in stochastic thermodynamics that provides a bound on the fluctuations of any thermodynamic flux, also known as current, in terms of the average rate of entropy production. Such fluctuations are quantified by the second moment of the probability distribution of the current. The role of higher order standardized moments such as skewness and kurtosis remains largely unexplored. We analyze the skewness and kurtosis associated with the first passage time of thermodynamic currents within the framework of stochastic thermodynamics
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Tasnim, Farita, and David H. Wolpert. "Stochastic Thermodynamics of Multiple Co-Evolving Systems—Beyond Multipartite Processes." Entropy 25, no. 7 (2023): 1078. http://dx.doi.org/10.3390/e25071078.

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Many dynamical systems consist of multiple, co-evolving subsystems (i.e., they have multiple degrees of freedom). Often, the dynamics of one or more of these subsystems will not directly depend on the state of some other subsystems, resulting in a network of dependencies governing the dynamics. How does this dependency network affect the full system’s thermodynamics? Prior studies on the stochastic thermodynamics of multipartite processes have addressed this question by assuming that, in addition to the constraints of the dependency network, only one subsystem is allowed to change state at a t
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Borlenghi, Simone, and Anna Delin. "Stochastic Thermodynamics of Oscillators’ Networks." Entropy 20, no. 12 (2018): 992. http://dx.doi.org/10.3390/e20120992.

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We apply the stochastic thermodynamics formalism to describe the dynamics of systems of complex Langevin and Fokker-Planck equations. We provide in particular a simple and general recipe to calculate thermodynamical currents, dissipated and propagating heat for networks of nonlinear oscillators. By using the Hodge decomposition of thermodynamical forces and fluxes, we derive a formula for entropy production that generalises the notion of non-potential forces and makes transparent the breaking of detailed balance and of time reversal symmetry for states arbitrarily far from equilibrium. Our for
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Lewis, Edwin R. "Network thermodynamics revisited." Biosystems 34, no. 1-3 (1995): 47–63. http://dx.doi.org/10.1016/0303-2647(94)01456-h.

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Šesták, Jaroslav. "Studies in network thermodynamics." Thermochimica Acta 108 (November 1986): 393. http://dx.doi.org/10.1016/0040-6031(86)85106-1.

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Matsoukas, Themis. "Thermodynamics Beyond Molecules: Statistical Thermodynamics of Probability Distributions." Entropy 21, no. 9 (2019): 890. http://dx.doi.org/10.3390/e21090890.

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Statistical thermodynamics has a universal appeal that extends beyond molecular systems, and yet, as its tools are being transplanted to fields outside physics, the fundamental question, what is thermodynamics, has remained unanswered. We answer this question here. Generalized statistical thermodynamics is a variational calculus of probability distributions. It is independent of physical hypotheses but provides the means to incorporate our knowledge, assumptions and physical models about a stochastic processes that gives rise to the probability in question. We derive the familiar calculus of t
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Du, Bin, Daniel C. Zielinski, Jonathan M. Monk, and Bernhard O. Palsson. "Thermodynamic favorability and pathway yield as evolutionary tradeoffs in biosynthetic pathway choice." Proceedings of the National Academy of Sciences 115, no. 44 (2018): 11339–44. http://dx.doi.org/10.1073/pnas.1805367115.

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The structure of the metabolic network contains myriad organism-specific variations across the tree of life, but the selection basis for pathway choices in different organisms is not well understood. Here, we examined the metabolic capabilities with respect to cofactor use and pathway thermodynamics of all sequenced organisms in the Kyoto Encyclopedia of Genes and Genomes Database. We found that (i) many biomass precursors have alternate synthesis routes that vary substantially in thermodynamic favorability and energy cost, creating tradeoffs that may be subject to selection pressure; (ii) alt
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Reichl, L. E. "Book review:Studies in network thermodynamics." Journal of Statistical Physics 50, no. 1-2 (1988): 465. http://dx.doi.org/10.1007/bf01023005.

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Zhang, Mingjin, Peng Zhang, Yuhan Zhang, et al. "SAR-to-Optical Image Translation via an Interpretable Network." Remote Sensing 16, no. 2 (2024): 242. http://dx.doi.org/10.3390/rs16020242.

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Synthetic aperture radar (SAR) is prevalent in the remote sensing field but is difficult to interpret by human visual perception. Recently, SAR-to-optical (S2O) image conversion methods have provided a prospective solution. However, since there is a substantial domain difference between optical and SAR images, they suffer from low image quality and geometric distortion in the produced optical images. Motivated by the analogy between pixels during the S2O image translation and molecules in a heat field, a thermodynamics-inspired network for SAR-to-optical image translation (S2O-TDN) is proposed
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Keegan, Michael, Hava T. Siegelmann, Edward A. Rietman, Giannoula Lakka Klement, and Jack A. Tuszynski. "Gibbs Free Energy, a Thermodynamic Measure of Protein–Protein Interactions, Correlates with Neurologic Disability." BioMedInformatics 1, no. 3 (2021): 201–10. http://dx.doi.org/10.3390/biomedinformatics1030013.

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Modern network science has been used to reveal new and often fundamental aspects of brain network organization in physiological as well as pathological conditions. As a consequence, these discoveries, which relate to network hierarchy, hubs and network interactions, have begun to change the paradigms of neurodegenerative disorders. In this paper, we explore the use of thermodynamics for protein–protein network interactions in Alzheimer’s disease (AD), Parkinson’s disease (PD), multiple sclerosis (MS), traumatic brain injury and epilepsy. To assess the validity of using network interactions in
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Dissertations / Theses on the topic "Network thermodynamics"

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Squadrani, Lorenzo. "Deep neural networks and thermodynamics." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Deep learning is the most effective and used approach to artificial intelligence, and yet it is far from being properly understood. The understanding of it is the way to go to further improve its effectiveness and in the best case to gain some understanding of the "natural" intelligence. We attempt a step in this direction with the aim of physics. We describe a convolutional neural network for image classification (trained on CIFAR-10) within the descriptive framework of Thermodynamics. In particular we define and study the temperature of each component of the network. Our results provides a n
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Pierantozzi, Mariano. "Mathematical modeling for Thermodynamics: Thermophysical Properties and Equation of State." Doctoral thesis, Università Politecnica delle Marche, 2015. http://hdl.handle.net/11566/242931.

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Nelle moderne società multiculturali e multidisciplinari, sempre di più si devono adottare delle prospettive più ampie possibili. In questa tesi, si è tentato di adottare un metodo multidisciplinare che coinvolgesse non solo la matematica e la fisica, ma anche la chimica, la statistica, e più in generale l’ingegneria. Gli aspetti toccati sono quelli delle proprietà termofisiche della materia e delle equazioni di stato dei gas (EOS). Le proprietà termofisiche analizzate sono: tensione superficiale, conduttività termica, viscosità, dei liquidi e dei gas ed il secondo coefficiente del
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Ozaki, Hiroto. "Study of Network Structures and Rheological Properties of Physical Gels." Kyoto University, 2017. http://hdl.handle.net/2433/227633.

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Loutchko, Dimitri. "A Theoretical Study of the Tryptophan Synthase Enzyme Reaction Network." Doctoral thesis, Humboldt-Universität zu Berlin, 2018. http://dx.doi.org/10.18452/19384.

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Das Enzym Tryptophan Synthase ist ein ausgezeichnetes Beispiel einer molekularen Fabrik auf der Nanoskala mit zwei katalytischen Zentren. Der katalytische Zyklus des Moleküls beruht zudem auf zahlreichen allosterischen Wechselwirkungen sowie der Übertragung des Intermediats Indol durch einen intramolekularen Tunnel. In dieser Arbeit wird das erste kinetische Modell eines einzelnen Tryptophan Synthase Moleküls konstruiert und analysiert. Simulationen zeigen starke Korrelationen zwischen den Zuständen der Katalysezentren sowie die Ausbildung von Synchronisation. Mit stochastischer Thermodynamik
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Hui, Qing. "Nonlinear dynamical systems and control for large-scale, hybrid, and network systems." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24635.

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Thesis (Ph.D.)--Aerospace Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Haddad, Wassim; Committee Member: Feron, Eric; Committee Member: JVR, Prasad; Committee Member: Taylor, David; Committee Member: Tsiotras, Panagiotis
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Grondin, Yohann. "Biological networks : a thermodynamical approach." Thesis, University of Leicester, 2006. http://hdl.handle.net/2381/30584.

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Many real systems can be represented by networks, that is a set of nodes connected to each other. The study of these systems as such has proven extremely useful as it gives access to a series of parameters that characterise their non-trivial architecture. This architecture is the product of many factors from the evolutionary mechanisms that shape the system during its growth to the functional dynamics on a shorter time scale. Gaining knowledge on the architecture is then of importance but faces many challenges in particular in the study of biological networks. The first challenge is in terms o
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Kotjabasakis, E. "Design of flexible heat exchanger networks." Thesis, University of Manchester, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235140.

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Design for process flexibility is an industrially important topic so it is not surprising that it is attracting much research work. Given the size of the problem it is also not surprising that workers have concentrated on heat exchanger networks, which can be considered to be a self-contained sub-problem. Unfortunately, recent research has suffered from a number of major drawbacks. Problem formulation has often been unrealistic. Proposed procedures tend to be 'clinical' rather than practical. Academic research has often been conducted without proper consideration of the industrial environment.
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Garcia, Cantu Ros Anselmo. "Thermodynamic and kinetic aspects of interaction networks." Doctoral thesis, Universite Libre de Bruxelles, 2007. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210420.

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In view of the fact that a same complex phenomenon can be approached by different conceptual frameworks, it is natural to inquire on the possibility to find connections between different types of quantities, such as topological, dynamical, statistical or thermodynamical, characterizing the same system. The present work is built on the idea that this line of approach can provide interesting insights on possible universal principles governing complex phenomena. In Chapter I we introduce concepts and tools of dynamical systems and thermodynamics as applied in macroscopic scale description as well
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Honorato-Zimmer, Ricardo. "On a thermodynamic approach to biomolecular interaction networks." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28904.

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We explore the direct and inverse problem of thermodynamics in the context of rule-based modelling. The direct problem can be concisely stated as obtaining a set of rewriting rules and their rates from the description of the energy landscape such that their asymptotic behaviour when t → ∞ coincide. To tackle this problem, we describe an energy function as a finite set of connected patterns P and an energy cost function e which associates real values to each of these energy patterns. We use a finite set of reversible graph rewriting rules G to define the qualitative dynamics by showing which tr
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Jones, Paul Simon. "Targeting and design for heat exchanger networks under multiple base case operation." Thesis, University of Manchester, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292518.

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Books on the topic "Network thermodynamics"

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

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

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

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

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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. American Society of Mechanical Engineers, 1987.

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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. ASME, 1987.

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

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

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

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Book chapters on the topic "Network thermodynamics"

1

Imai, Y. "Graded Modelling of Exocrine Secretion Using Network Thermodynamics." In Epithelial Secretion of Water and Electrolytes. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-75033-5_9.

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Gordon, Manfred. "Thermodynamics of Casein Gels and the Universality of Network Theories." In Integration of Fundamental Polymer Science and Technology. Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4185-4_22.

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Haddad, Wassim M. "The Role of Systems Biology, Neuroscience, and Thermodynamics in Network Control and Learning." In Handbook of Reinforcement Learning and Control. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60990-0_25.

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Doty, David, Trent A. Rogers, David Soloveichik, Chris Thachuk, and Damien Woods. "Thermodynamic Binding Networks." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66799-7_16.

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Feinberg, Martin. "Quasi-Thermodynamic Kinetic Systems." In Foundations of Chemical Reaction Network Theory. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-03858-8_13.

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Utracki, L. A. "Thermodynamics and Kinetics of Phase Separation." In Interpenetrating Polymer Networks. American Chemical Society, 1994. http://dx.doi.org/10.1021/ba-1994-0239.ch003.

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Ito, Sosuke. "Information Thermodynamics on Causal Networks." In Information Thermodynamics on Causal Networks and its Application to Biochemical Signal Transduction. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1664-6_6.

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Rostiashvili, V. G., and T. A. Vilgis. "Statistical Thermodynamics of Polymeric Networks." In Encyclopedia of Polymeric Nanomaterials. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-36199-9_308-1.

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Rostiashvili, V. G., and T. A. Vilgis. "Statistical Thermodynamics of Polymeric Networks." In Encyclopedia of Polymeric Nanomaterials. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-29648-2_308.

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Ye, Cheng, Andrea Torsello, Richard C. Wilson, and Edwin R. Hancock. "Thermodynamics of Time Evolving Networks." In Graph-Based Representations in Pattern Recognition. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18224-7_31.

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Conference papers on the topic "Network thermodynamics"

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Pavlović, Marina Simović, Maja Pagnacco, Bojana Bokić, et al. "Breaking Barriers: Molding Thermodynamics by Geometry of Nanostructures." In 2024 24th International Conference on Transparent Optical Networks (ICTON). IEEE, 2024. http://dx.doi.org/10.1109/icton62926.2024.10648049.

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Zitelli, Mario. "A Thermodynamic Study of Low-power Modal Multiplexed Systems." In 2024 24th International Conference on Transparent Optical Networks (ICTON). IEEE, 2024. http://dx.doi.org/10.1109/icton62926.2024.10647332.

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Kiritsis, E., and T. Taylor. "Thermodynamics of D-brane probes." In European Network on Physics beyond the Standard Model. Sissa Medialab, 1999. http://dx.doi.org/10.22323/1.002.0027.

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Taliaferro, Matthew E., and Samuel R. Darr. "Modeling Internal Launch Vehicle Fluid Flow and Thermodynamics, Part 1: Thermodynamic Tank Network Solver." In AIAA SCITECH 2024 Forum. American Institute of Aeronautics and Astronautics, 2024. http://dx.doi.org/10.2514/6.2024-2293.

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Gaymann, Audrey, Giorgio Schiaffini, Michela Massini, Francesco Montomoli, and Alessandro Corsini. "Neural network topology for wind turbine analysis." In European Conference on Turbomachinery Fluid Dynamics and Thermodynamics. European Turbomachinery Society, 2019. http://dx.doi.org/10.29008/etc2019-174.

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Pothineni, Dinesh, Pratik Mishra, and Aadil Rasheed. "Social thermodynamics: Modelling communication dynamics in social network." In 2012 International Conference on Future Generation Communication Technology (FGCT). IEEE, 2012. http://dx.doi.org/10.1109/fgct.2012.6476582.

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Berg, Jordan M., D. H. S. Maithripala, Qing Hui, and Wassim M. Haddad. "Thermodynamics-based network systems control by thermal analogy." In 2012 IEEE 51st Annual Conference on Decision and Control (CDC). IEEE, 2012. http://dx.doi.org/10.1109/cdc.2012.6426012.

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Chen, Ruijun. "The Network Locating Principle in Flexible Circuit Board Assembly." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-10305.

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This paper focuses on developing the Network Locating Principle for fixturing tooling design in flexible circuit board assembly. From a viewpoint of Thermodynamics, a flexible circuit board populated with electronic components on the first side is a closed thermodynamic system. It experiences deformation energy change, assembly load work, and heat transfer during an isothermal assembly process on the second side, such as solder paste deposit printing and electronic component placement processes. Based on the First and Second Laws of Thermodynamics and Energy Equation of Thermoelastic Theory, a
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Layton, Astrid, John Reap, and Bert Bras. "A Correlation Between Thermal Efficiency and Biological Network Cyclicity." In ASME 2011 5th International Conference on Energy Sustainability. ASMEDC, 2011. http://dx.doi.org/10.1115/es2011-54787.

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This article investigates a correlation between the thermal efficiency of ideal power cycles and a structural measure of the degree of interactions in networks known as cyclicity. Efficient design of networks that reuse materials and energy motivates the work. Corporate “take-back” plans, multi-company industrial symbioses and public recycling programs recover products, components and materials using partially closed loop networks. As resources become scarcer and more expensive, the prevalence of these networks is likely to increase, and the importance of designing efficient networks grows. Mu
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Iwai, Takuya, Daichi Kominami, Masayuki Murata, and Tetsuya Yomo. "Thermodynamics-Based Entropy Adjustment for Robust Self-Organized Network Controls." In 2014 IEEE 38th Annual Computer Software and Applications Conference (COMPSAC). IEEE, 2014. http://dx.doi.org/10.1109/compsac.2014.48.

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Reports on the topic "Network thermodynamics"

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Haddad, Wassim M. Complexity, Robustness, and Network Thermodynamics in Large-Scale and Multiagent Systems: A Hybrid Control Approach. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada565203.

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Tse, David, Piyush Gupta, and Devavrat Shah. Thermodynamics of Large-Scale Heterogeneous Wireless Networks. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada601231.

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Steele, W. V., R. D. Chirico, S. E. Knipmeyer, and A. Nguyen. The thermodynamic properties of 2-aminobiphenyl (an intermediate in the carbazole/hydrogen reaction network). Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6307021.

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Haddad, Wassim M., and Quirino Balzano. A Network Thermodynamic Framework for the Analysis and Control Design of Large-Scale Dynamical Systems. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada448643.

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Perdigão, Rui A. P. Strengthening Multi-Hazard Resilience with Quantum Aerospace Systems Intelligence. Synergistic Manifolds, 2024. http://dx.doi.org/10.46337/240301.

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The present work further enhances and deploys our Quantum Aerospace Systems Intelligence technologies (DOI: 10.46337/quasi.230901) onto Multi-Hazard risk assessment and action, from sensing and prediction to modelling, decision support and active response, towards strengthening its fundamental knowledge, awareness and resilience in the face of multi-domain challenges. Moreover, it introduces our updated post-quantum aerospace engineering ecosystem for empowering active system dynamic capabilities to mitigate or even counter multi-hazard threats from space, leveraging our high energy technologi
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McKinley, James P., and Jonathan Istok. Stability of U(VI) and Tc(VII) Reducing Microbial Communities to Environmental Perturbation: Development and Testing of a Thermodynamic Network Model. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/893451.

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McKinley, James P., Chongxuan Liu, Jack Istok, and Lee Krumholz. Stability of U(VI)- and Tc(VII) reducing microbial communities to environmental perturbation: a thermodynamic network model and intermediate-scale experiments. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/895882.

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Perdigão, Rui A. P. Neuro-Quantum Cyber-Physical Intelligence (NQCPI). Synergistic Manifolds, 2024. http://dx.doi.org/10.46337/241024.

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Neuro-Quantum Cyber-Physical Intelligence (NQCPI) is hereby introduced, entailing a novel framework for nonlinear natural-based neural post-quantum information physics, along with novel advances in far-from-equilibrium thermodynamics and evolutionary cognition in post-quantum neurobiochemistry for next-generation information physical systems intelligence. NQCPI harnesses and operates with the higher-order nonlinear nature of previously elusive quantum behaviour, including in open chaotic dissipative systems in thermodynamically and magneto-electrodynamically disruptive conditions, such as in n
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