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1
Miguel Torre do Vale Arriaga e Cunha. Stability Analysis of Metals Capturing Brittle and Ductile Fracture through a Phase Field Method and Shear Band Localization. [New York, N.Y.?] : [publisher not identified], 2016.
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service), SpringerLink (Online, dir. Field Theoretic Method in Phase Transformations. New York, NY : Springer New York, 2012.
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Umantsev, Alexander. Field Theoretic Method in Phase Transformations. New York, NY : Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1487-2.
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Corsi, Daniele, et Cèlia Nadal Pasqual. Studi Iberici. Dialoghi dall’Italia. Venice : Fondazione Università Ca’ Foscari, 2021. http://dx.doi.org/10.30687/978-88-6969-505-6.
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Iberian Studies have developed in the last quarter of a century to the point of making one speak of a real Iberian Turn. Starting from the rejection of the classic scheme that places the two states (Portugal and Spain) as privileged agents of the representation of the Iberian space, the proposal of the Iberian Studies is to work on the system of historical exchanges and interferences that have shaped the cultural fabric of the peninsula, investigating both the points of connection as much as those of the fracture between its different realities (such as the Basque, Catalan and Galician ones, as well as the Castilian and Lusitanian ones). Accompanied by a “Reasoned Bibliography on Iberian Studies and Iberian Studies from Italy”, this volume examines the state of the art, with particular attention to the Italian context, in which these researches show a still unequal rooting and diffusion. A first section, dedicated to a general framework of the discipline and the exposition of theoretical issues and method problems, is followed by a second that presents critical contributions that address individual case studies. Born in part as a reaction to the so-called “crisis of Hispanism”, Iberian Studies offer themselves as an alternative to the traditional model of peninsular Hispanism, to its uninational and monolingual paradigm. They also place the emphasis on diversity and the relational aspect, looking with suspicion at every hegemonic design aimed at establishing a “centre” within a heterogeneous cultural landscape. Attentive to the phenomena of immigration and linguistic minorities, to the colonial past and relations with the Latin American world, but also to the themes of comparativism, translation, theory and the rethinking of criticism, Iberian Studies are a field in which not only debates about literature and the arts are included, but also about ideology.
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Mazo, Aleksandr, et Konstantin Potashev. The superelements. Modeling of oil fields development. ru : INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1043236.
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This monograph presents the basics of super-element modeling method of two-phase fluid flows occurring during the development of oil reservoir. The simulation is performed in two stages to reduce the spatial and temporal scales of the studied processes. In the first stage of modeling of development of oil deposits built long-term (for decades) the model of the global dynamics of the flooding on the super-element computational grid with a step equal to the average distance between wells (200-500 m). Local filtration flow, caused by the action of geological and technical methods of stimulation, are modeled in the second stage using a special mathematical models using computational grids with high resolution detail for the space of from 0.1 to 10 m and time — from 102 to 105 C.
The results of application of the presented models to the solution of practical tasks of development of oil reservoir. Special attention is paid to the issue of value transfer in filtration-capacitive properties of the reservoir, with a detailed grid of the geological model on the larger grid reservoir models.
Designed for professionals in the field of mathematical and numerical modeling of fluid flows occurring during the development of oil fields and using traditional commercial software packages, as well as developing their own software. May be of interest to undergraduate and graduate students studying in areas such as "Mechanics and mathematical modeling", "Applied mathematics", "Oil and gas".
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Wick, Thomas. Multiphysics Phase-Field Fracture : Modeling, Adaptive Discretizations, and Solvers. de Gruyter GmbH, Walter, 2020.
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Umantsev, Alexander. Field Theoretic Method in Phase Transformations. Springer, 2012.
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Vondrous, Alexander. Grain Growth Behavior and Efficient Large Scale Simulations of Recrystallization With the Phase-field Method. Saint Philip Street Press, 2020.
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Boudreau, Joseph F., et Eric S. Swanson. Quantum field theory. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0024.
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Markov chain Monte Carlo techniques are developed to compute properties of a variety of quantum field theories. The method is introduced with a simple scalar field theory and used to evaluate the particle spectrum and phase diagram for parity symmetry breaking. The technique of micorcanonical updating is introduced to increase efficiency. The important topic of gauge theory is then introduced via the gauged Z2 model. Development of the gauge theory formalism continues with Abelian gauge theory in two dimensions. The interaction between static charges is computed and compared to the exact result. The string tension in nonableian SU(2) gauge theory is explored with the aid of the renormalization group, which gives an entrée to a discussion of the Higgs mechanism. Finally, the formalism for including fermions is briefly reviewed.
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Mercati, Flavio. York’s Solution to the Initial-Value Problem. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198789475.003.0008.
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In this chapter I briefly review York’s method (or the conformal method) for solving the initial value problem of (GR). This method, developed initially by Lichnerowicz and then generalized by Choquet-Bruhat and York, allows to find solutions of the constraints of (GR) (in particular the Hamiltonian, or refoliation constraint) by scanning the conformal equivalence class of spatial metrics for a solution of the Hamiltonian constraint, exploiting the fact that, in a particular foliation (CMC), the transverse nature of the momentum field is preserved under conformal transformations. This method allows to transform the initial value problem into an elliptic problem for the solution for which good existence and uniqueness theorems are available. Moreover this method allows to identify the reduced phase space of (GR) with the cotangent bundle to conformal superspace (the space of conformal 3-geometries), when the CMC foliation is valid. SD essentially amounts to taking this phase space as fundamental and renouncing the spacetime description when the CMC foliation is not available.
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Pezo-Lanfranco, Luis Nicanor. Bioarqueologia e Antropologia Forense : Métodos de escavação, recuperação e curadoria de ossos humanos. Brazil Publishing, 2021. http://dx.doi.org/10.31012/978-65-5861-376-3.
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This book presents a synthesis on the necessary methods and techniques for the correct excavation, recovery and conservation of human remains, as well as notions of sampling and analysis of bones, useful for an adequate study of funeral contexts in conventional (bio)archaeological research or forensic-anthropology. As this book was written primarily for archeology students and archeologists with little training in bone handling, the language is easy-to-follow. The book is divided into two sections that roughly correspond to the two phases in which the method of analysis of human bones can be divided. In the first section, we describe the Phase I or field work that includes recovery methods, from the prospection and identification of burial sites, excavation and recording, field-sampling techniques, to the packaging and transport of bones to the laboratory. In the second part of the book, Phase II or laboratory work, we describe the treatment that should be given to bones from their arrival to laboratory of analysis to the final storage. In this section, we show the methods of cleaning and preparation of bones for further analysis, some basic notions on restoration and conservation, and relevant information about sampling techniques and their scientific principles to obtain information from the examined individual. Along the text we emphasize the informative potential of each analysis from the bioarchaeological and anthropological-forensic viewpoint.
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Pershina, K. D., et K. O. Kazdobin. Impedance spectroscopy of electrolytic materials. V.I. Vernadsky Institute of General and Inorganic Chemistry, 2012. http://dx.doi.org/10.33609/guide.2012.224.
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Electrochemical impedance spectroscopy (EIS) is playing an increasingly significant role in fundamental and applied research: to study any type of solid and liquid materials (ionic, mixed, semiconductor, and insulators), to study charge transfer in heterogeneous systems, including phase boundaries, electrode boundaries, and elements of the microstructure. With the help of EIS, it is possible to study the behavior of chemical sensors, fuel cells, batteries, and corrosion processes. The base of the method stays on the principle of exciting any electrochemical system with a signal in the form of a sinusoidal wave and observing its behavior in response to this disturbance. This is the simplest method for determining the structural and transport functions of the system under study. This is the simplest method for determining the structural and transport functions of the system under study. The book discusses the theoretical foundations of the method of impedance spectroscopy, including the method of equivalent circuits, and provides examples of the analysis of impedance spectra for real objects. The main attention is paid to the model elements of equivalent circuits, their physical base, and the use of the models in the analysis of electrochemical systems. Handbook consists of seven chapters. It has questions and tasks to self-work after each part. It is intended for students of chemical, chemical-technological, and biomedical specialties, as well as for specialists engaged in research in the field of materials science, medicine, and ecology.
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Araújo, Ana Cláudia Vaz de. Síntese de nanopartículas de óxido de ferro e nanocompósitos com polianilina. Brazil Publishing, 2021. http://dx.doi.org/10.31012/978-65-5861-120-2.
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In this work magnetic Fe3O4 nanoparticles were synthesized through the precipitation method from an aqueous ferrous sulfate solution under ultrasound. A 23 factorial design in duplicate was carried out to determine the best synthesis conditions and to obtain the smallest crystallite sizes. Selected conditions were ultrasound frequency of 593 kHz for 40 min in 1.0 mol L-1 NaOH medium. Average crystallite sizes were of the order of 25 nm. The phase obtained was identified by X-ray diffractometry (XRD) as magnetite. Scanning electron microscopy (SEM) showed polydisperse particles with dimensions around 57 nm, while transmission electron microscopy (TEM) revealed average particle diameters around 29 nm, in the same order of magnitude of the crystallite size determined with Scherrer’s equation. These magnetic nanoparticles were used to obtain nanocomposites with polyaniline (PAni). The material was prepared under exposure to ultraviolet light (UV) or under heating, from dispersions of the nanoparticles in an acidic solution of aniline. Unlike other synthetic routes reported elsewhere, this new route does not utilize any additional oxidizing agent. XRD analysis showed the appearance of a second crystalline phase in all the PAni-Fe3O4 composites, which was indexed as goethite. Furthermore, the crystallite size decreases nearly 50 % with the increase in the synthesis time. This size decrease suggests that the nanoparticles are consumed during the synthesis. Thermogravimetric analysis showed that the amount of polyaniline increases with synthesis time. The nanocomposite electric conductivity was around 10-5 S cm-1, nearly one order of magnitude higher than for pure magnetite. Conductivity varied with the amount of PAni in the system, suggesting that the electric properties of the nanocomposites can be tuned according to their composition. Under an external magnetic field the nanocomposites showed hysteresis behavior at room temperature, characteristic of ferromagnetic materials. Saturation magnetization (MS) for pure magnetite was ~ 74 emu g-1. For the PAni-Fe3O4 nanocomposites, MS ranged from ~ 2 to 70 emu g-1, depending on the synthesis conditions. This suggests that composition can also be used to control the magnetic properties of the material.
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Fox, Raymond. The Use of Self. Oxford University Press, 2011. http://dx.doi.org/10.1093/oso/9780190616144.001.0001.
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This monograph presents recent advances in neural network (NN) approaches and applications to chemical reaction dynamics. Topics covered include: (i) the development of ab initio potential-energy surfaces (PES) for complex multichannel systems using modified novelty sampling and feedforward NNs; (ii) methods for sampling the configuration space of critical importance, such as trajectory and novelty sampling methods and gradient fitting methods; (iii) parametrization of interatomic potential functions using a genetic algorithm accelerated with a NN; (iv) parametrization of analytic interatomic potential functions using NNs; (v) self-starting methods for obtaining analytic PES from ab inito electronic structure calculations using direct dynamics; (vi) development of a novel method, namely, combined function derivative approximation (CFDA) for simultaneous fitting of a PES and its corresponding force fields using feedforward neural networks; (vii) development of generalized PES using many-body expansions, NNs, and moiety energy approximations; (viii) NN methods for data analysis, reaction probabilities, and statistical error reduction in chemical reaction dynamics; (ix) accurate prediction of higher-level electronic structure energies (e.g. MP4 or higher) for large databases using NNs, lower-level (Hartree-Fock) energies, and small subsets of the higher-energy database; and finally (x) illustrative examples of NN applications to chemical reaction dynamics of increasing complexity starting from simple near equilibrium structures (vibrational state studies) to more complex non-adiabatic reactions. The monograph is prepared by an interdisciplinary group of researchers working as a team for nearly two decades at Oklahoma State University, Stillwater, OK with expertise in gas phase reaction dynamics; neural networks; various aspects of MD and Monte Carlo (MC) simulations of nanometric cutting, tribology, and material properties at nanoscale; scaling laws from atomistic to continuum; and neural networks applications to chemical reaction dynamics. It is anticipated that this emerging field of NN in chemical reaction dynamics will play an increasingly important role in MD, MC, and quantum mechanical studies in the years to come.
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Raff, Lionel, Ranga Komanduri, Martin Hagan et Satish Bukkapatnam. Neural Networks in Chemical Reaction Dynamics. Oxford University Press, 2012. http://dx.doi.org/10.1093/oso/9780199765652.001.0001.
Texte intégralRésumé :
This monograph presents recent advances in neural network (NN) approaches and applications to chemical reaction dynamics. Topics covered include: (i) the development of ab initio potential-energy surfaces (PES) for complex multichannel systems using modified novelty sampling and feedforward NNs; (ii) methods for sampling the configuration space of critical importance, such as trajectory and novelty sampling methods and gradient fitting methods; (iii) parametrization of interatomic potential functions using a genetic algorithm accelerated with a NN; (iv) parametrization of analytic interatomic potential functions using NNs; (v) self-starting methods for obtaining analytic PES from ab inito electronic structure calculations using direct dynamics; (vi) development of a novel method, namely, combined function derivative approximation (CFDA) for simultaneous fitting of a PES and its corresponding force fields using feedforward neural networks; (vii) development of generalized PES using many-body expansions, NNs, and moiety energy approximations; (viii) NN methods for data analysis, reaction probabilities, and statistical error reduction in chemical reaction dynamics; (ix) accurate prediction of higher-level electronic structure energies (e.g. MP4 or higher) for large databases using NNs, lower-level (Hartree-Fock) energies, and small subsets of the higher-energy database; and finally (x) illustrative examples of NN applications to chemical reaction dynamics of increasing complexity starting from simple near equilibrium structures (vibrational state studies) to more complex non-adiabatic reactions. The monograph is prepared by an interdisciplinary group of researchers working as a team for nearly two decades at Oklahoma State University, Stillwater, OK with expertise in gas phase reaction dynamics; neural networks; various aspects of MD and Monte Carlo (MC) simulations of nanometric cutting, tribology, and material properties at nanoscale; scaling laws from atomistic to continuum; and neural networks applications to chemical reaction dynamics. It is anticipated that this emerging field of NN in chemical reaction dynamics will play an increasingly important role in MD, MC, and quantum mechanical studies in the years to come.