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Littérature scientifique sur le sujet « Viscoelstic model for binary systems »

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Publié le 11 mars 2023

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Articles de revues sur le sujet "Viscoelstic model for binary systems"

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Song, Han-Feng, Run-Qian Huang et Shao-Lan Bi. « A Model for Contact Binary Systems ». Chinese Journal of Astronomy and Astrophysics 7, no 4 (août 2007) : 539–50. http://dx.doi.org/10.1088/1009-9271/7/4/10.

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Hale, Barbara N., et Gerald Wilemski. « A scaled nucleation model for ideal binary systems ». Chemical Physics Letters 305, no 3-4 (mai 1999) : 263–68. http://dx.doi.org/10.1016/s0009-2614(99)00365-6.

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MÜNSTER, GERNOT. « INTERFACE TENSIONS OF BINARY SYSTEMS ». International Journal of Modern Physics C 03, no 05 (octobre 1992) : 879–87. http://dx.doi.org/10.1142/s0129183192000543.

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In liquid mixtures or analogous binary systems at low temperatures the pure phases may coexist, separated by an interface. The interface tension vanishes according to σ=σ0(1−T/Tc)µ as the temperature T approaches the critical point from below. Similarly the correlation length diverges as ξ=ξ0(T/Tc−1)−ν. For three-dimensional systems the dimensionless product R=σ0(ξ0)2 is universal. This and related universal quantities are investigated by means of a semiclassical expansion in the framework of Φ4 theory, as well as by Monte Carlo calculations in the three-dimensional Ising model.
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Romero-Serrano, Antonio, et Arthur D. Pelton. « Extensions of a structural model for binary silicate systems ». Metallurgical and Materials Transactions B 26, no 2 (avril 1995) : 305–15. http://dx.doi.org/10.1007/bf02660973.

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Retter, Alon, Alexander Liu et Marc Bos. « Precessing accretion discs in binary systems ». International Astronomical Union Colloquium 193 (2004) : 391–94. http://dx.doi.org/10.1017/s0252921100011003.

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AbstractSuperhumps – quasi-periodic oscillations at periods a few percent different than the orbital periods – have been observed in several dozen binary systems of various types. It is well-accepted now that they are caused by the precession of the accretion disc. New findings on TV Col, TX Col and V4742 Sgr are presented. These cataclysmic variables (CVs) have exceptional precessing periods that cast strong doubt on the predictions of the Tidal Disc Instability model.
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Lin, Chih-Chen, Leo Mark, Timos Sellis et Christos Faloutsos. « Performance issues in the binary relationship model ». Data & ; Knowledge Engineering 4, no 3 (septembre 1989) : 195–221. http://dx.doi.org/10.1016/0169-023x(89)90020-7.

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Fei, Xinyu, Lucas T. Brady, Jeffrey Larson, Sven Leyffer et Siqian Shen. « Binary Control Pulse Optimization for Quantum Systems ». Quantum 7 (4 janvier 2023) : 892. http://dx.doi.org/10.22331/q-2023-01-04-892.

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Quantum control aims to manipulate quantum systems toward specific quantum states or desired operations. Designing highly accurate and effective control steps is vitally important to various quantum applications, including energy minimization and circuit compilation. In this paper we focus on discrete binary quantum control problems and apply different optimization algorithms and techniques to improve computational efficiency and solution quality. Specifically, we develop a generic model and extend it in several ways. We introduce a squared L2-penalty function to handle additional side constraints, to model requirements such as allowing at most one control to be active. We introduce a total variation (TV) regularizer to reduce the number of switches in the control. We modify the popular gradient ascent pulse engineering (GRAPE) algorithm, develop a new alternating direction method of multipliers (ADMM) algorithm to solve the continuous relaxation of the penalized model, and then apply rounding techniques to obtain binary control solutions. We propose a modified trust-region method to further improve the solutions. Our algorithms can obtain high-quality control results, as demonstrated by numerical studies on diverse quantum control examples.
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Jardine, M., H. R. Allen et A. M. T. Pollock. « Magnetic annihilation in colliding-wind binary systems ». Symposium - International Astronomical Union 163 (1995) : 523–24. http://dx.doi.org/10.1017/s0074180900202611.

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We investigate the possibility that a stagnation-point magnetic reconnection model may account for the particle acceleration necessary for the generation of nonthermal radio emission in the Wolf-Rayet binary systems exemplified by WR140.
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Rebollo Paz, Maria Berta, Adrian Hugo Buep et Maximo Baron. « Dielectric properties of binary systems 8. Improved model for alcohol/non polar systems. » Journal of Molecular Liquids 38, no 3-4 (octobre 1988) : 225–32. http://dx.doi.org/10.1016/0167-7322(88)80020-5.

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Tiwari, Asim, et Brahma Deo. « Cell Model for Calculation of Activities in Binary Oxide Systems. » ISIJ International 35, no 9 (1995) : 1141–44. http://dx.doi.org/10.2355/isijinternational.35.1141.

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Thèses sur le sujet "Viscoelstic model for binary systems"

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Izzo, Maria Grazia. « High frequency dynamics of fluid binary mixtures ». Doctoral thesis, Università degli studi di Trieste, 2010. http://hdl.handle.net/10077/3585.

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2008/2009
This thesis is aimed to the study of dynamics in binary fluid mixtures by means of inelastic scattering spectroscopies. Nowadays the understanding of these dynamics is still unsatisfactory. In particular, any model is able to adequately describe collective dynamics beyond the hydrodynamic limit. In such a low momentum (k) and frequency () transfer limit, the collective dynamics is characterized by a single (adiabatic) longitudinal acoustic mode accounting for sound propagation. At frequencies above the hydrodynamics ones a transition towards a decoupled dynamic regime is expected. This is characterized by two distinct modes, namely the slow (low-) and fast (high-) sounds. The microscopic mechanisms driving such a transition, so as the related macroscopic quantities, are still unclear, even in an heuristic point of view. In this work the collective dynamics of neutral and ionic mixtures are investigated with the aim to shed light in this debated issue. He/Ne mixtures have been studied by means of Inelastic X-ray Scattering (IXS) spectroscopy. Exploiting the lack of kinematic limitations peculiar of this technique, the high frequency (>THz) dynamics has been analyzed from the mesoscopic up to the high-k range, where the dynamic response of the system can be described using the Impulse Approximation (IA). This kind of study is of particular interest for disparate mass mixtures, since inefficient kinetic energy exchanges between light and heavy particles taking place on very short time scales are expected to greatly influence the phenomenology of the aforementioned dynamic decoupling. The prototype ionic mixture, RbF, also, has been investigated by means of Inelastic Neutron Scattering (INS) spectroscopy. Ionic mixtures are particularly suited to investigate the role played by optic-like excitations (related to concentration fluctuations) in the transition from the hydrodynamics to the decoupled regime. Indeed, these kind of excitations are expected to be emphasized because of the long range Coulomb interactions. Conversely at k’s enough high, i.e. k>k* with k* dependent on the values of the electric conduction coefficient and the adiabatic sound velocity, they are expected to behave like neutral binary mixtures. The study of molten RbF has been, then, focused on the characterization of collective dynamics in the transition region, which is more difficultly accessible by IXS because of instrumental limitations. IXS data on He0.8Ne0.2 mixture have been analyzed using a generalization of the viscoelastic function, which, in our knowledge, has been applied for the first time to this purpose. This kind of data analysis permitted to extrapolate the partial dynamical structure factors related to He-He, Ne-Ne and He-Ne density fluctuations. The adiabatic and high frequency sound velocity as well as the relaxation time associated to each mixture component has been calculated from fitting parameters. The analysis of the extrapolated relaxation times permitted to define, in the probed range, two k-region depending on the behavior of such quantity. At the higher k probed the relaxation times of single components can be well described by the respective single specie collision time, indicating a complete dynamics decoupling. At lower k, conversely, the relaxation times show a deviation to respect the collisional times. The study of the same mixture in three different thermodynamic conditions, revealed a common k trend of the single component relaxation times once proper normalization, made by means of kinetic parameters, has been done. An empirical expression has then been proposed. The result can be interpreted in the framework of ‘two temperature theory’, based on the assumption that in disparate mass binary mixtures inefficient kinetic energy exchanges induce a two step process for the relaxation of density fluctuations towards the thermodynamic equilibrium. These processes are characterized by two distinct timescales: the intra-specie collision time, where each specie subsystem reaches a condition of ‘local’ equilibrium associated with a ‘local’ temperature and a characteristic time for the equilibration of the microscopic temperatures to the thermodynamic temperature trough inter-specie collisions. A further corroboration of the above picture has been found from the analysis of IXS spectra in the IA region, which allowed extrapolating the momentum distribution functions of the specie subsets. An anomalous behavior has been noticed on the He momentum distribution function, i.e. the apparent temperature associated to the momentum distribution is about 40 K higher than the macroscopic one. This striking result can be straightforwardly interpreted as a fingerprint of the peculiar ‘two temperature’ equilibration process. INS experiment on molten RbF permitted to reveal the simultaneous presence of two dispersive collective modes in the transition region. The dispersive behavior (linear with k) and the characteristic energies permitted to exclude an optic-like nature for both excitations. The performed data analysis permitted also to extrapolate the value of the electrical conduction coefficient, founding a quite low value as compared with typical values of molten salts. An estimation of k* for the studied system emphasize the possibility that at the probed k it may be isomorphous to a neutral mixture. The observed phenomenology can be thus interpreted in terms of double sound propagation phenomenon, observed in rarefied non-ionic gaseous mixtures. Finally, an alternative interpretation of these experimental results can be qualitatively provided within the frame of the generalized collective mode approach. In this case the high frequency mode is identified with the extension of the adiabatic longitudinal sound mode beyond hydrodynamic limit that, in analogy to what observed in several fluids, follows a linear dispersion with an associated sound velocity larger than the adiabatic one. The low frequency mode could instead be associated with a propagating kinetic mode related to energy fluctuations (heat waves). In conclusion, an extensive analysis of high-frequency dynamics in binary mixtures has been reported. Particular emphasis has been devoted to the study of the sound decoupling phenomenon manifesting beyond the hydrodynamic region. The experimental results indicate that such a phenomenon is manifested in both neutral and ionic disparate mass binary mixtures. It can be related to microscopic dynamics, e.g. thermalization effects related to the inefficient kinetic exchange between lighter and heavier particles.
XXI Ciclo
1978
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Triampo, Wannapong. « Non-Equilibrium Disordering Processes In binary Systems Due to an Active Agent ». Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/26738.

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In this thesis, we study the kinetic disordering of systems interacting with an agent or a walker. Our studies divide naturally into two classes: for the first, the dynamics of the walker conserves the total magnetization of the system, for the second, it does not. These distinct dynamics are investigated in part I and II respectively. In part I, we investigate the disordering of an initially phase-segregated binary alloy due to a highly mobile vacancy which exchanges with the alloy atoms. This dynamics clearly conserves the total magnetization. We distinguish three versions of dynamic rules for the vacancy motion, namely a pure random walk , an ``active' and a biased walk. For the random walk case, we review and reproduce earlier work by Z. Toroczkai et. al.,~cite{TKSZ} which will serve as our base-line. To test the robustness of these findings and to make our model more accessible to experimental studies, we investigated the effects of finite temperatures (``active walks') as well as external fields (biased walks). To monitor the disordering process, we define a suitable disorder parameter, namely the number of broken bonds, which we study as a function of time, system size and vacancy number. Using Monte Carlo simulations and a coarse-grained field theory, we observe that the disordering process exhibits three well separated temporal regimes. We show that the later stages exhibit dynamic scaling, characterized by a set of exponents and scaling functions. For the random and the biased case, these exponents and scaling functions are computed analytically in excellent agreement with the simulation results. The exponents are remarkably universal. We conclude this part with some comments on the early stage, the interfacial roughness and other related features. In part II, we introduce a model of binary data corruption induced by a Brownian agent or random walker. Here, the magnetization is not conserved, being related to the density of corrupted bits }$ ho ${small .} {small Using both continuum theory and computer simulations, we study the average density of corrupted bits, and the associated density-density correlation function, as well as several other related quantities. In the second half, we extend our investigations in three main directions which allow us to make closer contact with real binary systems. These are i) a detailed analysis of two dimensions, ii) the case of competing agents, and iii) the cases of asymmetric and quenched random couplings. Our analytic results are in good agreement with simulation results. The remarkable finding of this study is the robustness of the phenomenological model which provides us with the tool, continuum theory, to understand the nature of such a simple model.
Ph. D.
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Gehrmann, Jan. « Transferable reduced TB models for elemental Si and N and binary Si-N systems ». Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:002b0c99-0e9d-4d8c-a0dc-ad07383f083f.

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Silicon nitride is a bulk and a coating material exhibiting excellent mechanical properties. The understanding of the complex processes at the nanometre scale gained through experimental research will be enhanced by the existence of a computationally efficient and accurate model that is able to describe the mechanical properties of silicon nitride. Such a model has yet to be proposed. In this thesis we present a transferable reduced tight-binding (TB) model for the silicon nitride system. More precisely, this model consists of a reduced TB model for elemental silicon, a reduced TB model for elemental nitrogen, and a reduced TB model for silicon nitride. These models are developed within the framework of coarse-graining the electronic structure from density functional theory (DFT) to tight binding (TB) to bond-order potentials (BOPs), and can therefore be used in the future as the stepping stone to develop BOPs for the application in large scale simulations. The bond integrals employed in the reduced TB models are obtained directly from mixed-basis DFT projections of wave functions onto a minimal basis of atom-centred orbitals. This approach reduces the number of overall parameters to be fitted and provides models which are transferable through the different coarse-graining levels. We provide an example by using the same bond integrals in the reduced TB model for silicon and the preliminary bond-based BOP for silicon. DFT binding energies of ground state and metastable crystal structures are used as the benchmark to which the TB and BOP repulsive parameters are fitted. In addition to model development, we present an improved methodology when going from TB to reduced TB. By weighting all four σ TB bond integrals equally, we provide a new parameterisation (Eqs. (2.73) and (2.74)) and show that the quality of the silicon reduced TB model can be increased by choosing one of the reduced TB parameters to be distance invariant. The ingredients, the development methodology, and the quality of each of the four models are discussed in a separate chapter. The quality of the reduced TB models and BOP is demonstrated by comparing their predictions for the binding energies, heats of formation, elastic constants, and defect energies with DFT and experimental values.
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Anjos, Roberto Meigikos dos. « Caracterização do processo de fusão - fissão em sistemas nucleares ». Universidade de São Paulo, 1992. http://www.teses.usp.br/teses/disponiveis/43/43131/tde-15082012-160415/.

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Medidas das seções de choque de fusão, de processos fortemente amortecidos e de espalhamento elástico foram realizadas para os sistemas 16,17,18O + 10,11B e 19F + 9Be no intervalo de energia de bombardeio compreendido entre 22 ELAB64 Mev. São apresentadas evidências de que processos binários fortemente amortecidos observados nestes sistemas originam-se preferencialmente de um processo de fusão-fissão e não de um mecanismo de orbiting dinuclear. A importância relativa do processo de fusão-fissão nestes sistemas muito leves é comprovada pelos resultados experimentais, que indicam a ocorrência de um processo de fissão de um núcleo composto estatisticamente equilibrado, assim como por cálculos de modelos teóricos. Os números atômicos e os de massa dos produtos de reação e dos resíduos de evaporação foram identificados usando-se duas câmaras de ionização e um sistema de tempo de voo.
Cross sections for fusion, strongly energy-damped processes and elastic scattering were measured for the 16 ,17, 18O + 10 11B and 19F + 9Be systems in the energy range 22 ELAB 64 HeV. Evidence that the fully energy-damped binary products observed in these reactions originate from a fusion-fission process, rather than through a deep-inelastic orbiting mechanism, is presented. The relative importance of the fusion-fission process in these very light systems is supported by experimental results which points towards the fission of a statistically equilibrated compound nucleus and also by model calculations. Charges and masses of the reaction products and evaporation residues were indentified using two ionization chamber and a time-of-flight system.
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Auber, Romain. « Contribution à la reconnaissance d'activités à partir d'un objet connecté ». Thesis, Normandie, 2019. http://www.theses.fr/2019NORMC242.

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Ce manuscrit porte sur la reconnaissance d’activités à partir de données accéléromètriques. Le dispositif utilisé pour collecter les données de l’accéléromètre est eTact, dispositif développé par la société Bodycap. Plusieurs solutions sont proposées afin d'optimiser l’autonomie de l’objet connecté. Ces solutions sont mises en oeuvre et comparées sur différentes séries de données. L'originalité d'une de ces solutions consiste à binariser les données de l’accéléromètre avant de les transférer vers une plateforme externe où elles sont analysées. L’utilisation de données binaires entraîne la perte de nombreuses informations, cependant il est montré dans ce manuscrit qu’il est possible d’estimer, entres autres, les paramètres d'un modèle Auto Régressif d’une série temporelle à partir de l'information binaire sur cette série. A ce titre, un algorithme d'identification est proposé et analysé
This manuscript deals with the recognition of activities from accelerometric data. The device used to collect the accelerometer data is eTact, a device developed by Bodycap. Several solutions are proposed to optimize the autonomy of the connected object. These solutions are implemented and compared on different data sets. The originality of one of these solutions is to binarize the data of the accelerometer before transferring them to an external platform where they are analyzed. The use of binary data induces the loss of a lot of information, however it is shown in this manuscript that it is possible to estimate, among other things, the parameters of an Auto Regressive model of a time series from the binary information on this series. In this respect, an identification algorithm is proposed and analyzed
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« Measurement of Excess Molar Enthalpies of Binary and Ternary Systems Involving Hydrocarbons and Ethers ». Thesis, 2014. http://hdl.handle.net/10388/ETD-2014-05-1540.

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The study of excess thermodynamic properties of liquid mixtures is very important for designing the thermal separation processes, developing solution theory models and to have a better understanding of molecular structure and interactions involved in the fluid mixtures. In particular, heat of mixing or excess molar enthalpy data of binary and ternary fluid mixtures have great industrial and theoretical significance. In this connection, the experimental excess molar enthalpies for seventeen binary and nine ternary systems involving hydrocarbons, ethers and alcohol have been measured at 298.15K and atmospheric conditions for a wide range of composition by means of a flow microcalorimeter (LKB 10700-1). The binary experimental excess molar enthalpy values are correlated by means of the Redlich-Kister polynomial equations and the Liebermann - Fried solution theory model. The ternary excess molar enthalpy values are represented by means of the Tsao-Smith equation with an added ternary term and the Liebermann-Fried model was used to predict ternary excess molar enthalpy values. The Liebermann-Fried solution theory model was able to closely represent the experimental excess enthalpy data for most of the binary and ternary systems with reasonable accuracy. The correlated and predicted excess molar enthalpy data for the ternary systems are plotted in Roozeboom diagrams
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Kang, Huey-Ling, et 亢慧玲. « Prediction of Azeotropic Properties and Vapor-Liquid Equilibrium of Binary Systems Using the Parameterless Liquid Model ». Thesis, 1995. http://ndltd.ncl.edu.tw/handle/56228203396077959236.

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Al-Obaidi, M. A., Chakib Kara-Zaitri et Iqbal M. Mujtaba. « Scope and limitations of the irreversible thermodynamics and the solution diffusion models for the separation of binary and multi-component systems in reverse osmosis process ». 2017. http://hdl.handle.net/10454/11342.

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Yes
Reverse osmosis process is used in many industrial applications ranging from solute-solvent to solvent-solvent and gaseous separation. A number of theoretical models have been developed to describe the separation and fluxes of solvent and solute in such processes. This paper looks into the scope and limitations of two main models (the irreversible thermodynamics and the solution diffusion models) used in the past by several researchers for solute-solvent feed separation. Despite the investigation of other complex models, the simple concepts of these models accelerate the feasibility of the implementation of reverse osmosis for different types of systems and variety of industries. Briefly, an extensive review of these mathematical models is conducted by collecting more than 70 examples from literature in this study. In addition, this review has covered the improvement of such models to make them compatible with multi-component systems with consideration of concentration polarization and solvent-solute-membrane interaction.
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LePree, Jason Michael. « Solvent effects on the decarboxylative-dechlorination of N-chloro--̉amino acids in binary aqueous-organic cosolvent systems the phenomenological model applied to chemical reaction kinetics / ». 1995. http://catalog.hathitrust.org/api/volumes/oclc/33806110.html.

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Biswas, Rajib. « Dynamics of Water under Confinement and Studies of Structural Transformation in Complex Systems ». Thesis, 2013. http://etd.iisc.ernet.in/2005/3405.

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The thesis involves computer simulation and theoretical studies of dynamics of water under confinement and structural transformation in different complex systems. Based on the systems and phenomena of interest, the work has been classified in to three major parts: I. Dynamics of water under confinement II. Dynamics of water in presence of amphiphilic solutes III. Structural transformation in complex systems The three parts have further been divided into nine chapters. Brief chapter wise outline of the thesis is discussed below. Part I deals with the dynamics of water in confined systems. In Chapter I.1, we provide a brief introduction of water dynamics inc on fined systems. We also give a brief outline of relevant experimental and theoretical techniques used to study the water dynamics under confinement. Chapter I.2 describes a model based analytical study of dynamical correlation in confined systems. Here, we introduce a novel one dimensional Ising model to investigate the propagation and annihilation of dynamical correlations in confined systems and to understand the intriguing shortening of the orientational relaxation time that has been reported for small sized reverse micelles (RMs).In our model, the two spins located at the two end cells are oriented in the opposite directions to mimic the surface effects present in the real systems. These produce opposing polarizations which propagate from the surface to the center, thus producing bulk like condition at the center. This model can be solved analytically for short chains. For long chains, we solve the model numerically with Glauber spin flip dynamics (and also with Metropolis single-spin flip Monte Carlo algorithm).We show that the model satisfactorily reproduces many of the features observed in experiments. Due to the destructive interference among correlations that propagate from the surface to the core, one of the rotational relaxation time components decays faster than the bulk. In general, the relaxation of spins is non-exponential due to the interplay between various interactions. In the limit of strong coupling between the spins or in the limit of low temperature, the nature of the relaxation of spins undergoes a change with the emergence of homogeneous dynamics, where the decay is predominantly exponential. In Chapter I.3, layer-wise distance dependent orientation relaxation of water confined in reverse micelle s(RM)is studied using theoretical and computational tools. We use both a newly constructed spins on a ring (SOR) Ising-type model with modified Shore-Zwanzig rotational dynamics and atomistic simulations with explicit water. Our study explores the size effect of RMs and the role of intermolecular correlations, compromised by the presence of a highly polar surface, on the distance (from the surface) dependence of water relaxation. The SOR model can capture some aspects of distance dependent orientation relaxation, such as acceleration of orientation relaxation at intermediate layers. In atomistic simulations, layer-wise decomposition of hydrogen bond (H-bond) formation pattern clearly reveal that the H-bond arrangement of water at a certain distance away from the surface can remain frustrated due to interaction with the polar surface head groups. We show that this layer-wise analysis also reveals the presence of a non-monotonic, slow relaxation component which can be attributed to the frustration effect and is accentuated in small to intermediate size RMs. For larger RMs, the long-time component decreases monotonically from the interface to the interior of the RMs with slowest relaxation observed at the interface. In ChapterI.4, we present theoretical two dimensional infrared spectroscopic (2D-IR) studies of water confined within RMs of various sizes. Here we focus again mainly on the altered dynamics of confined water by performing a layer-wise decomposition of water. We aim to quantify the relative contributions to the calculated 2D-IR spectra by water molecules located in different layers. The spectra of 0-1 transition clearly show substantial elongation along the diagonal, due to in homogeneous broadening and incomplete spectral diffusion, in the surface water layer of different size of RMs studied in this work. Our study reveals that the motion of the surface water molecules is sub-diffusive, establishing the constrained nature of their dynamics. This is further supported by the two peak nature of the angular analogue of the van Hove correlation function. With increasing system size the motion of water molecules becomes more diffusive in nature and the structural diffusion is observed to be almost completed in the central layer of larger RMs. Comparisons between experiment and simulation help establishing the correspondence between the spectral decomposition available in experimental 2D-IR with the spatial decomposition of simulated 2D-IR. Simulations also allow a quantitative exploration of the relative role of water, sodium ions and sulfonate head groups in irrational dephasing. Interestingly, the negative cross correlation between forces on oxygen and hydrogen of O-H bond in bulk water significantly decreases in the surface layer of different RMs. This negative cross correlation gradually increases in the central layer with increasing size of the RMs and this is found to be partly responsible for the faster relaxation rate of water in the central layer. Part II consists of two chapters and focuses on the dynamics of water in presence of amphiphilic solutes. In Chapter II.1, we present a brief introduction of water – DMSO binary mixture and various anomalous properties of the same. In Chapter II.2, we present theoretical IR study of water dynamics in water–DMSO binary mixtures of different compositions. We show that with increasing DMSO concentration, the IR absorption peak maxima show the presence of structural transformation in similar concentration range, observed in earlier studies. Analysis of H-bonded network near hydrophilic and hydrophobic part of DMSO also suggests that average number of hydrogen bonds near the hydrophobic parts possess maxima at the same concentration range. We also show that with increasing DMSO concentration water dynamics becomes very slow. This has been supported by the diagonal elongation of the 2D-IR spectra and also the slow decay of frequency fluctuation correlation n function (FFCF) and the orientation time correlation function (OTCF). The decoupling of the OTCF establishes that water-DMSOH-bond is much stronger than that of water-water. The last part (Part III) consists of three chapters that deal with structural transformation in various complex systems. In Chapter III.1, we introduce polydisperse systems and present existing theoretical, computer simulation and experimental studies. It also contains the importance and diversity of polydisperse system in nature. In Chapter III.2, we present computer simulation study of melting of polydisperse Lennard-Jones (LJ) system with Gaussian polydispersity in size. The phase diagram reproduces the existence of an early temperature in variant terminal polydispersity (δt0.11), with no signature of re-entrant melting. The absence of re-entrant melting can be attributed to the influence of attractive part of the potential on melting. We find that at terminal polydispersity the fractional density change approaches zero that seems to arise from vanishingly small compressibility of the disordered phase. At constant temperature and volume fraction system undergoes a sharp transition from crystalline solid to disordered state with increasing polydispersity. This has been quantified by second and third order rotational invariant bond orientational orders as well as by the average inherent structure energy. The translational order parameter also indicates similar structural change The free energy calculation further supports the nature of the transition. The third order bond orientational order shows that with increasing polydispersity, local cluster favors more icosahedral-like arrangements and thus the system loses its crystalline symmetry. In Chapter III.3, we present study of phase transition and effect of confinement on it in SOR model. This system is similar to our SOR model discussed in Chapter I.3. The spins execute continuous rotation under a modified XY Hamiltonian. In order to understand the nature of phase transition in such confined spin systems we have performed extensive Monte Carlo simulations. The system size dependence of Binders cumulant, specific heat, order parameter and finite size scaling of order parameter universally suggest the existence of a phase transition. The absence of hysteresis and Scaling of Binders energy cumulant minimum confirm the continuous nature of the transition. The finite size scaling analyses give rise to the mean field nature of the transition. Plausible applications of the proposed model in modeling dipolar liquids in confined systems are also discussed. In Appendix A, we discuss a preliminary study of front propagation in a non-equilibrium system. The model system analogous to the super cooled liquid shows non-Avrami domain growth during rejuvenation. The origin of the non-Avrami nature of the domain growth and the presence of cross over are also discussed. In Appendix B, we discuss umbrella a sampling technique and WHAM analysis which is used in ChapterIII.2 to get the free energy of polydisperse LJ system.
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Livres sur le sujet "Viscoelstic model for binary systems"

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Shin, Mineshige, et Wheeler J. Craig, dir. Disk instabilities in close binary systems : 25 years of the disk-instability model : proceedings of the Disk-Instability Workshop on "Disk Instabilities in Close Binary Systems" held on October 27-30, 1998, at Hotel Brighton City Yamashina, Kyoto, Japan. Tokyo, Japan : Universal Academy Press, 1999.

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Wang, Shingmin. A nonlinear stability analysis of a model equation for liquid phase electro-epitaxial growth of a dilute binary substance. 1986.

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Vislocky, Michael. Nonlinear stability analysis of an interfacial model equation for alloy solidification in the presence of an electric field. 1988.

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Wittman, David M. Orbits. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199658633.003.0017.

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Orbits are ubiquitous in the universe: moons orbit planets, planets orbit stars, stars orbit around the center of the Milky Way galaxy, and so on. Any theory of gravity will have to explain the properties of all these orbits. To pave the way for developing the metric theory of gravity (general relativity) this chapter examines the basics of orbits as observed and as explained by the Newtonian model of gravity. We can use our understanding of gravity to infer the masses and other properties of these cosmic systems. Te chapter concludes with four optional sections in this spirit, covering the slingshot maneuver; dark matter; binary star orbits and how they reveal the masses of stars; and extrasolar planets.
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Chapitres de livres sur le sujet "Viscoelstic model for binary systems"

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De Troyer, O. « The OO-binary relationship model : A truly object oriented conceptual model ». Dans Advanced Information Systems Engineering, 561–78. Berlin, Heidelberg : Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/3-540-54059-8_104.

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Roelleke, Thomas, Jun Wang et Stephen Robertson. « Probabilistic Retrieval Models and Binary Independence Retrieval (BIR) Model ». Dans Encyclopedia of Database Systems, 1–7. New York, NY : Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_919-2.

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Roelleke, Thomas, Jun Wang et Stephen Robertson. « Probabilistic Retrieval Models and Binary Independence Retrieval (BIR) Model ». Dans Encyclopedia of Database Systems, 2156–60. Boston, MA : Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_919.

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Roelleke, Thomas, Jun Wang et Stephen Robertson. « Probabilistic Retrieval Models and Binary Independence Retrieval (BIR) Model ». Dans Encyclopedia of Database Systems, 2839–45. New York, NY : Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_919.

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Athira, A. P., Midhula Vijayan et R. Mohan. « Moving Object Detection Using Local Binary Pattern and Gaussian Background Model ». Dans Lecture Notes in Networks and Systems, 367–76. Singapore : Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3953-9_35.

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Xu, Wen, JiaJun Li et Bin Shen. « Influencing Factor Analysis of Logistics Service Satisfaction in China : A Binary Logit Model Approach ». Dans Smart Transportation Systems 2020, 79–88. Singapore : Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5270-0_7.

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Wang, Jing, Ande Chang et Lianxing Gao. « Binary Probit Model on Drivers Route Choice Behaviors Based on Multiple Factors Analysis ». Dans Advances in Intelligent Systems and Computing, 213–20. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-38789-5_30.

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Bejaoui, Hela, Haythem Ghazouani et Walid Barhoumi. « Fully Automated Facial Expression Recognition Using 3D Morphable Model and Mesh-Local Binary Pattern ». Dans Advanced Concepts for Intelligent Vision Systems, 39–50. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70353-4_4.

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Al-Obaidi, Alaa M., et Sai Peck Lee. « A Concurrent Coloured Petri Nets Model for Solving Binary Search Problem on a Multicore Architecture ». Dans Software Engineering and Computer Systems, 463–77. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22203-0_41.

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Madjarević, Damir. « Shock Structure and Temperature Overshoot in Macroscopic Multi-temperature Model of Binary Mixtures ». Dans From Particle Systems to Partial Differential Equations II, 253–72. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16637-7_9.

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Actes de conférences sur le sujet "Viscoelstic model for binary systems"

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Tatoglu, Akin, et Kishore Pochiraju. « Motion model binary switch for MonoSLAM ». Dans 2015 IEEE Long Island Systems, Applications and Technology Conference (LISAT). IEEE, 2015. http://dx.doi.org/10.1109/lisat.2015.7160210.

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Rodrigues, Victor Hugo Pereira, Liu Hsu et Tiago Roux Oliveira. « Binary Model Reference Adaptive Control under Disturbances ». Dans 2022 16th International Workshop on Variable Structure Systems (VSS). IEEE, 2022. http://dx.doi.org/10.1109/vss57184.2022.9901711.

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Kang, Tae-Koo, Huazhen Zhang, Dong-Sung Pae et Myo-Taeg Lim. « A binary based HMAX model for object recognition ». Dans 2015 15th International Conference on Control, Automation and Systems (ICCAS). IEEE, 2015. http://dx.doi.org/10.1109/iccas.2015.7364837.

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Hussain, Shaista, et Arindam Basu. « Morphological learning in multicompartment neuron model with binary synapses ». Dans 2016 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2016. http://dx.doi.org/10.1109/iscas.2016.7539107.

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Guckel, Dominique, Bastian Schlich, Jorg Brauer et Stefan Kowalewski. « Synthesizing simulators for model checking microcontroller binary code ». Dans 2010 IEEE 13th International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS). IEEE, 2010. http://dx.doi.org/10.1109/ddecs.2010.5491761.

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Li, Xiaocong, Si-Lu Chen, Chek Sing Teo, Kok Kiong Tan et Tong Heng Lee. « Revised binary tree data-driven model for valve stiction ». Dans 2014 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2014. http://dx.doi.org/10.1109/smc.2014.6974538.

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Liu, Tonglai, Hua Jiang et Jing Wen. « A binary classification method based on class space model ». Dans 2010 International Conference on Intelligent Computing and Integrated Systems (ICISS). IEEE, 2010. http://dx.doi.org/10.1109/iciss.2010.5657095.

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Zhou, Tao, et Yuanyuan Chen. « A Noise-Invariant Sparse Coding Model for Binary Input ». Dans 2019 International Conference on Intelligent Computing, Automation and Systems (ICICAS). IEEE, 2019. http://dx.doi.org/10.1109/icicas48597.2019.00065.

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Peng, Yali, Fang Liu et Shigang Liu. « A Normalized Local Binary Fitting Model for Image Segmentation ». Dans 2012 4th International Conference on Intelligent Networking and Collaborative Systems (INCoS). IEEE, 2012. http://dx.doi.org/10.1109/incos.2012.119.

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Eftekhari, Hamid Reza, A. Jalaeian Bashirzadeh et Mehdi Ghatee. « Binary Programing Model to Optimize RSU Placement for Information Dissemination ». Dans International Conference on Vehicle Technology and Intelligent Transport Systems. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0005858602270231.

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Rapports d'organisations sur le sujet "Viscoelstic model for binary systems"

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Allen, Jeffrey, Robert Moser, Zackery McClelland, Md Mohaiminul Islam et Ling Liu. Phase-field modeling of nonequilibrium solidification processes in additive manufacturing. Engineer Research and Development Center (U.S.), décembre 2021. http://dx.doi.org/10.21079/11681/42605.

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This project models dendrite growth during nonequilibrium solidification of binary alloys using the phase-field method (PFM). Understanding the dendrite formation processes is important because the microstructural features directly influence mechanical properties of the produced parts. An improved understanding of dendrite formation may inform design protocols to achieve optimized process parameters for controlled microstructures and enhanced properties of materials. To this end, this work implements a phase-field model to simulate directional solidification of binary alloys. For applications involving strong nonequilibrium effects, a modified antitrapping current model is incorporated to help eject solute into the liquid phase based on experimentally calibrated, velocity-dependent partitioning coefficient. Investigated allow systems include SCN, Si-As, and Ni-Nb. The SCN alloy is chosen to verify the computational method, and the other two are selected for a parametric study due to their different diffusion properties. The modified antitrapping current model is compared with the classical model in terms of predicted dendrite profiles, tip undercooling, and tip velocity. Solidification parameters—the cooling rate and the strength of anisotropy—are studied to reveal their influences on dendrite growth. Computational results demonstrate effectiveness of the PFM and the modified antitrapping current model in simulating rapid solidification with strong nonequilibrium at the interface.
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Farhi, Edward, et Hartmut Neven. Classification with Quantum Neural Networks on Near Term Processors. Web of Open Science, décembre 2020. http://dx.doi.org/10.37686/qrl.v1i2.80.

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We introduce a quantum neural network, QNN, that can represent labeled data, classical or quantum, and be trained by supervised learning. The quantum circuit consists of a sequence of parameter dependent unitary transformations which acts on an input quantum state. For binary classification a single Pauli operator is measured on a designated readout qubit. The measured output is the quantum neural network’s predictor of the binary label of the input state. We show through classical simulation that parameters can be found that allow the QNN to learn to correctly distinguish the two data sets. We then discuss presenting the data as quantum superpositions of computational basis states corresponding to different label values. Here we show through simulation that learning is possible. We consider using our QNN to learn the label of a general quantum state. By example we show that this can be done. Our work is exploratory and relies on the classical simulation of small quantum systems. The QNN proposed here was designed with near-term quantum processors in mind. Therefore it will be possible to run this QNN on a near term gate model quantum computer where its power can be explored beyond what can be explored with simulation.
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Lubowa, Nasser, Zita Ekeocha, Stephen Robert Byrn et Kari L. Clase. Pharmaceutical Industry in Uganda : A Review of the Common GMP Non-conformances during Regulatory Inspections. Purdue University, décembre 2021. http://dx.doi.org/10.5703/1288284317442.

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The prevalence of substandard medicines in Africa is high but not well documented. Low and Middle-Income Countries (LMICs) are likely to face considerable challenges with substandard medications. Africa faces inadequate drug regulatory practices, and in general, compliance with Good Manufacturing Practices (GMP) in most of the pharmaceutical industries is lacking. The majority of pharmaceutical manufacturers in developing countries are often overwhelmed by the GMP requirements and therefore are unable to operate in line with internationally acceptable standards. Non-conformances observed during regulatory inspections provide the status of the compliance to GMP requirements. The study aimed to identify the GMP non-conformances during regulatory inspections and gaps in the production of pharmaceuticals locally manufactured in Uganda by review of the available 50 GMP reports of 21 local pharmaceutical companies in Uganda from 2016. The binary logistic generalized estimating equations (GEE) model was applied to estimate the association between odds of a company failing to comply with the GMP requirements and non-conformances under each GMP inspection parameter. Analysis using dummy estimation to linear regression included determination of the relationship that existed between the selected variables (GMP inspection parameters) and the production capacity of the local pharmaceutical industry. Oral liquids, external liquid preparations, powders, creams, and ointments were the main categories of products manufactured locally. The results indicated that 86% of the non-conformances were major, 11% were minor, and 3% critical. The majority of the non-conformances were related to production (30.1%), documentation (24.5%), and quality control (17.6%). Regression results indicated that for every non-conformance under premises, equipment, and utilities, there was a 7-fold likelihood of the manufacturer failing to comply with the GMP standards (aOR=6.81, P=0.001). The results showed that major non-conformances were significantly higher in industries of small scale (B=6.77, P=0.02) and medium scale (B=8.40, P=0.04), as compared to those of large scale. This study highlights the failures in quality assurance systems and stagnated GMP improvements in these industries that need to be addressed by the manufacturers with support from the regulator. The addition of risk assessment to critical production and quality control operations and establishment of appropriate corrective and preventive actions as part of quality management systems are required to ensure that quality pharmaceuticals are manufactured locally.
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Anderson, Gerald L., et Kalman Peleg. Precision Cropping by Remotely Sensed Prorotype Plots and Calibration in the Complex Domain. United States Department of Agriculture, décembre 2002. http://dx.doi.org/10.32747/2002.7585193.bard.

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This research report describes a methodology whereby multi-spectral and hyperspectral imagery from remote sensing, is used for deriving predicted field maps of selected plant growth attributes which are required for precision cropping. A major task in precision cropping is to establish areas of the field that differ from the rest of the field and share a common characteristic. Yield distribution f maps can be prepared by yield monitors, which are available for some harvester types. Other field attributes of interest in precision cropping, e.g. soil properties, leaf Nitrate, biomass etc. are obtained by manual sampling of the filed in a grid pattern. Maps of various field attributes are then prepared from these samples by the "Inverse Distance" interpolation method or by Kriging. An improved interpolation method was developed which is based on minimizing the overall curvature of the resulting map. Such maps are the ground truth reference, used for training the algorithm that generates the predicted field maps from remote sensing imagery. Both the reference and the predicted maps are stratified into "Prototype Plots", e.g. 15xl5 blocks of 2m pixels whereby the block size is 30x30m. This averaging reduces the datasets to manageable size and significantly improves the typically poor repeatability of remote sensing imaging systems. In the first two years of the project we used the Normalized Difference Vegetation Index (NDVI), for generating predicted yield maps of sugar beets and com. The NDVI was computed from image cubes of three spectral bands, generated by an optically filtered three camera video imaging system. A two dimensional FFT based regression model Y=f(X), was used wherein Y was the reference map and X=NDVI was the predictor. The FFT regression method applies the "Wavelet Based", "Pixel Block" and "Image Rotation" transforms to the reference and remote images, prior to the Fast - Fourier Transform (FFT) Regression method with the "Phase Lock" option. A complex domain based map Yfft is derived by least squares minimization between the amplitude matrices of X and Y, via the 2D FFT. For one time predictions, the phase matrix of Y is combined with the amplitude matrix ofYfft, whereby an improved predicted map Yplock is formed. Usually, the residuals of Y plock versus Y are about half of the values of Yfft versus Y. For long term predictions, the phase matrix of a "field mask" is combined with the amplitude matrices of the reference image Y and the predicted image Yfft. The field mask is a binary image of a pre-selected region of interest in X and Y. The resultant maps Ypref and Ypred aremodified versions of Y and Yfft respectively. The residuals of Ypred versus Ypref are even lower than the residuals of Yplock versus Y. The maps, Ypref and Ypred represent a close consensus of two independent imaging methods which "view" the same target. In the last two years of the project our remote sensing capability was expanded by addition of a CASI II airborne hyperspectral imaging system and an ASD hyperspectral radiometer. Unfortunately, the cross-noice and poor repeatability problem we had in multi-spectral imaging was exasperated in hyperspectral imaging. We have been able to overcome this problem by over-flying each field twice in rapid succession and developing the Repeatability Index (RI). The RI quantifies the repeatability of each spectral band in the hyperspectral image cube. Thereby, it is possible to select the bands of higher repeatability for inclusion in the prediction model while bands of low repeatability are excluded. Further segregation of high and low repeatability bands takes place in the prediction model algorithm, which is based on a combination of a "Genetic Algorithm" and Partial Least Squares", (PLS-GA). In summary, modus operandi was developed, for deriving important plant growth attribute maps (yield, leaf nitrate, biomass and sugar percent in beets), from remote sensing imagery, with sufficient accuracy for precision cropping applications. This achievement is remarkable, given the inherently high cross-noice between the reference and remote imagery as well as the highly non-repeatable nature of remote sensing systems. The above methodologies may be readily adopted by commercial companies, which specialize in proving remotely sensed data to farmers.
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