Relevant bibliographies by topics / QMC model

Academic literature on the topic 'QMC model'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "QMC model"

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Mukhamedov, Farrukh, and Soueidy El Gheteb. "Uniqueness of Quantum Markov Chain Associated with XY-Ising Model on Cayley Tree of Order Two." Open Systems & Information Dynamics 24, no. 02 (June 2017): 1750010. http://dx.doi.org/10.1142/s123016121750010x.

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In this paper, we consider backward and forward Quantum Markov Chains (QMC) associated with XY -Ising model on the Cayley tree of order two. We construct finite volume states with boundary conditions, and define QMC as a weak limit of those states which depend on the boundary conditions. We prove that the limit state is a unique QMC associated with such a model, this means the QMC does not depend on the boundary conditions. Moreover, we observe the relation between backward and forward QMC.
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ACCARDI, LUIGI, FARRUKH MUKHAMEDOV, and MANSOOR SABUROV. "ON QUANTUM MARKOV CHAINS ON CAYLEY TREE I: UNIQUENESS OF THE ASSOCIATED CHAIN WITH XY-MODEL ON THE CAYLEY TREE OF ORDER TWO." Infinite Dimensional Analysis, Quantum Probability and Related Topics 14, no. 03 (September 2011): 443–63. http://dx.doi.org/10.1142/s021902571100447x.

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In this paper we study forward quantum Markov chains (QMC) defined on Cayley tree. A construction of such QMC is provided, namely we construct states on finite volumes with boundary conditions, and define QMC as a weak limit of those states which depends on the boundary conditions. Using the provided construction, we investigate QMC associated with XY-model on a Cayley tree of order two. We prove uniqueness of QMC associated with such a model, this means the QMC does not depend on the boundary conditions.
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Honecker, Andreas, Lukas Weber, Philippe Corboz, Frédéric Mila, and Stefan Wessel. "Quantum Monte Carlo simulations of highly frustrated magnets in a cluster basis: The two-dimensional Shastry-Sutherland model." Journal of Physics: Conference Series 2207, no. 1 (March 1, 2022): 012032. http://dx.doi.org/10.1088/1742-6596/2207/1/012032.

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Abstract Quantum Monte Carlo (QMC) simulations constitute nowadays one of the most powerful methods to study strongly correlated quantum systems, provided that no “sign problem” arises. However, many systems of interest, including highly frustrated magnets, suffer from an average sign that is close to zero in standard QMC simulations. Nevertheless, a possible sign problem depends on the simulation basis, and here we demonstrate how a suitable choice of cluster basis can be used to eliminate or at least reduce the sign problem in highly frustrated magnets that were so far inaccessible to efficient QMC simulations. We focus in particular on the application of a two-spin (dimer)-based QMC method to the thermodynamics of the spin-1/2 Shastry-Sutherland model for SrCu2(BO3)2.
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Hou, Zenghao, and Joyoung Lee. "Multi-Thread Optimization for the Calibration of Microscopic Traffic Simulation Model." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 20 (September 18, 2018): 98–109. http://dx.doi.org/10.1177/0361198118796395.

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This paper proposes an innovative multi-thread stochastic optimization approach for the calibration of microscopic traffic simulation models. Combining Quasi-Monte Carlo (QMC) sampling and the Particle Swarm Optimization (PSO) algorithm, the proposed approach, namely the Quasi-Monte Carlo Particle Swarm (QPS) calibration method, is designed to boost the searching process without prejudice to the calibration accuracy. Given the search space constructed by the combinations of simulation parameters, the QMC sampling technique filters the searching space, followed by the multi-thread optimization through the PSO algorithm. A systematic framework for the implementation of the QPS QMC-initialized PSO method is developed and applied for a case study dealing with a large-scale simulation model covering a 6-mile stretch of Interstate Highway 66 (I-66) in Fairfax, Virginia. The case study results prove that the proposed QPS method outperforms other methods utilizing Genetic Algorithm and Latin Hypercube Sampling in achieving faster convergence to obtain an optimal calibration parameter set.
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Nayak, S. N., P. K. Parida, and P. K. Panda. "Effects of the cosmological constant on compact star in quark-meson coupling model." International Journal of Modern Physics E 24, no. 10 (October 2015): 1550068. http://dx.doi.org/10.1142/s0218301315500688.

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We study effect of the cosmological constant on compact star with equation of state provided by quark-meson coupling (QMC) model. In this model, baryons are described as a system of nonoverlapping bags interacting through the scalar and vector mesons. We derive the Tolman–Oppenheimer–Volkoff (TOV) equation taking into account the cosmological constant in static and spherically symmetric metric. Using the equation of state given by QMC model, the mass–radius relationship of the compact star has been computed for various values of the cosmological constant.
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Tronchin, S., H. H. Matevosyan, and A. W. Thomas. "Polarized EMC effect in the QMC model." Physics Letters B 783 (August 2018): 247–52. http://dx.doi.org/10.1016/j.physletb.2018.06.065.

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Antić, S., J. R. Stone, and A. W. Thomas. "Neutron stars from crust to core within the Quark-meson coupling model." EPJ Web of Conferences 232 (2020): 03001. http://dx.doi.org/10.1051/epjconf/202023203001.

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Recent years continue to be an exciting time for the neutron star physics, providing many new observations and insights to these natural ‘laboratories’ of cold dense matter. To describe them, there are many models on the market but still none that would reproduce all observed and experimental data. The quark-meson coupling model stands out with its natural inclusion of hyperons as dense matter building blocks, and fewer parameters necessary to obtain the nuclear matter equation of state. The latest advances of the QMC model and its application to the neutron star physics will be presented, within which we build the neutron star’s outer crust from finite nuclei up to the neutron drip line. The appearance of different elements and their position in the crust of a neutron star is explored and compared to the predictions of various models, giving the same quality of the results for the QMC model as for the models when the nucleon structure is not taken into account.
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Hastings, Matthew B. "Obstructions to classically simulating the quantum adiabatic algorithm." Quantum Information and Computation 13, no. 11&12 (November 2013): 1038–76. http://dx.doi.org/10.26421/qic13.11-12-8.

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We consider the adiabatic quantum algorithm for systems with ``no sign problem", such as the transverse field Ising model, and analyze the equilibration time for quantum Monte Carlo (QMC) on these systems. We ask: if the spectral gap is only inverse polynomially small, will equilibration methods based on slowly changing the Hamiltonian parameters in the QMC simulation succeed in a polynomial time? We show that this is {\it not} true, by constructing counter-examples. In some examples, the space of configurations where the wavefunction has non-negligible amplitude has a nontrivial fundamental group, causing the space of trajectories in imaginary time to break into disconnected components with only negligible probability outside these components. For the simplest example we give with an abelian fundamental group, QMC does not equilibrate but still solves the optimization problem. More severe effects leading to failure to solve the optimization can occur when the fundamental group is a free group on two generators. Other examples where QMC fails have a {\it trivial} fundamental group, but still use ideas from topology relating group presentations to simplicial complexes. We define gadgets to realize these Hamiltonians as the effective low-energy dynamics of a transverse field Ising model. We present some analytic results on equilibration times which may be of some independent interest in the theory of equilibration of Markov chains. Conversely, we show that a small spectral gap implies slow equilibration at low temperature for some initial conditions and for a natural choice of local QMC updates.
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Zhang, Shuzeng, Canhui Cheng, Xiongbing Li, Yuantian Huang, and Hyunjo Jeong. "Modeling ultrasonic wave fields using a Quasi-Monte Carlo method: Wave transmission through complicated interfaces." Journal of the Acoustical Society of America 152, no. 2 (August 2022): 994–1002. http://dx.doi.org/10.1121/10.0013411.

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The sound fields generated by ultrasonic transducers can be modeled using the Quasi-Monte Carlo (QMC) method with a high level of accuracy and efficiency from Zhang [J. Acoust. Soc. Am. 149(1), 7–15 (2021)]. In this work, this method is extended to simulate transmitted wave fields through complicated interfaces. When a wave propagates in two-layer media, the vibrating waves over the interface radiated by the transducer can be treated as the source for generating waves in the second medium, thus, a nested-form Rayleigh integral expression can be used as a model equation for the transmitted wave calculation. When the QMC method is used to solve the nested integral, pseudo-random samples for constructing the transducer and the interface are sampled separately and the transmitted wave fields are obtained using the final sample mean. Numerical examples and results are presented when the wave transmits normally or obliquely through planar or curved interfaces. The results indicate that the high level of accuracy and efficiency remains when the QMC method is used to model the transmitted wave fields. One important advantage is that wave fields can be well simulated using the QMC method when the wave transmits through a complicated interface as long as the interface can be constructed using pseudo-random samples.
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Stone, Jirina R. "Exploring the role of hyperons in high density matter in the Quark-Meson-Coupling model." EPJ Web of Conferences 271 (2022): 09003. http://dx.doi.org/10.1051/epjconf/202227109003.

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Microscopic composition and properties of matter at super-saturation densities have been a subject of intense investigations for decades. Experimental and observational data and fundamental laws of physics indicate that heavy strange baryons and mesons are essential components of the matter. The Quark-Meson-Coupling-Model (QMC) is well suited for such a study. The model is based on interaction between quarks in individual baryons instead between the baryons as entities without internal structure. This approach significantly increases transparency and reduces the number of variable parameters of the model, thus offering deeper insight into the physics of high density hadronic matter. In this contribution, we review the effect of hyperons on neutron star (NS) properties, the speed of sound and the symmetry energy, both at zero and finite temperature. The QMC results are contrasted with the outcome of the traditional relativistic mean field DD2Y model. The (lack of) the so-called ‘hyperon puzzle’ in both models is discussed.
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Dissertations / Theses on the topic "QMC model"

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Doluweera, D. G. Sumith Pradeepa. "Effect of Weak Inhomogeneities in High Temperature Superconductivity." University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1227215152.

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Janson, Oleg. "DFT-based microscopic magnetic modeling for low-dimensional spin systems." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-91976.

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In the vast realm of inorganic materials, the Cu2+-containing cuprates form one of the richest classes. Due to the combined effect of crystal-field, covalency and strong correlations, all undoped cuprates are magnetic insulators with well-localized spins S=1/2, whereas the charge and orbital degrees of freedom are frozen out. The combination of the spin-only nature of their magnetism with the unique structural diversity renders cuprates as excellent model systems. The experimental studies, boosted by the discovery of high-temperature superconductivity in doped La2CuO4, revealed a fascinating variety of magnetic behaviors observed in cuprates. A digest of prominent examples should include the spin-Peierls transition in CuGeO3, the Bose-Einstein condensation of magnons in BaCuSi2O6, and the quantum critical behavior of Li2ZrCuO4. The magnetism of cuprates originates from short-range (typically, well below 1 nm) exchange interactions between pairs of spins Si and Sj, localized on Cu atoms i and j. Especially in low-dimensional compounds, these interactions are strongly anisotropic: even for similar interatomic distances |Rij|, the respective magnetic couplings Jij can vary by several orders of magnitude. On the other hand, there is an empirical evidence for the isotropic nature of this interaction in the spin space: different components of Si are coupled equally strong. Thus, the magnetism of cuprates is mostly described by a Heisenberg model, comprised of Jij(Si*Sj) terms. Although the applicability of this approach to cuprates is settled, the model parameters Jij are specific to a certain material, or more precisely, to a particular arrangement of the constituent atoms, i.e. the crystal structure. Typically, among the infinite number of Jij terms, only several are physically relevant. These leading exchange couplings constitute the (minimal) microscopic magnetic model. Already at the early stages of real material studies, it became gradually evident that the assignment of model parameters is a highly nontrivial task. In general, the problem can be solved experimentally, using elaborate measurements, such as inelastic neutron scattering on large single crystals, yielding the magnetic excitation spectrum. The measured dispersion is fitted using theoretical models, and in this way, the model parameters are refined. Despite excellent accuracy of this method, the measurements require high-quality samples and can be carried out only at special large-scale facilities. Therefore, less demanding (especially, regarding the sample requirements), yet reliable and accurate procedures are desirable. An alternative way to conjecture a magnetic model is the empirical approach, which typically relies on the Goodenough-Kanamori rules. This approach links the magnetic exchange couplings to the relevant structural parameters, such as bond angles. Despite the unbeatable performance of this approach, it is not universally applicable. Moreover, in certain cases the resulting tentative models are erroneous. The recent developments of computational facilities and techniques, especially for strongly correlated systems, turned density-functional theory (DFT) band structure calculations into an appealing alternative, complementary to the experiment. At present, the state-of-the-art computational methods yield accurate numerical estimates for the leading microscopic exchange couplings Jij (error bars typically do not exceed 10-15%). Although this computational approach is often regarded as ab initio, the actual procedure is not parameter-free. Moreover, the numerical results are dependent on the parameterization of the exchange and correlation potential, the type of the double-counting correction, the Hubbard repulsion U etc., thus an accurate choice of these crucial parameters is a prerequisite. In this work, the optimal parameters for cuprates are carefully evaluated based on extensive band structure calculations and subsequent model simulations. Considering the diversity of crystal structures, and consequently, magnetic behaviors, the evaluation of a microscopic model should be carried out in a systematic way. To this end, a multi-step computational approach is developed. The starting point of this procedure is a consideration of the experimental structural data, used as an input for DFT calculations. Next, a minimal DFT-based microscopic magnetic model is evaluated. This part of the study comprises band structure calculations, the analysis of the relevant bands, supercell calculations, and finally, the evaluation of a microscopic magnetic model. The ground state and the magnetic excitation spectrum of the evaluated model are analyzed using various simulation techniques, such as quantum Monte Carlo, exact diagonalization and density-matrix renormalization groups, while the choice of a particular technique is governed by the dimensionality of the model, and the presence or absence of magnetic frustration. To illustrate the performance of the approach and tune the free parameters, the computational scheme is applied to cuprates featuring rather simple, yet diverse magnetic behaviors: spin chains in CuSe2O5, [NO]Cu(NO3)3, and CaCu2(SeO3)2Cl2; quasi-two-dimensional lattices with dimer-like couplings in alpha-Cu2P2O7 and CdCu2(BO3)2, as well as the 3D magnetic model with pronounced 1D correlations in Cu6Si6O18*6H2O. Finally, the approach is applied to spin liquid candidates --- intricate materials featuring kagome-lattice arrangement of the constituent spins. Based on the DFT calculations, microscopic magnetic models are evaluated for herbertsmithite Cu3(Zn0.85Cu0.15)(OH)6Cl2, kapellasite Cu3Zn(OH)6Cl2 and haydeeite Cu3Mg(OH)6Cl2, as well as for volborthite Cu3[V2O7](OH)2*2H2O. The results of the DFT calculations and model simulations are compared to and challenged with the available experimental data. The advantages of the developed approach should be briefly discussed. First, it allows to distinguish between different microscopic models that yield similar macroscopic behavior. One of the most remarkable example is volborthite Cu3[V2O7](OH)2*2H2O, initially described as an anisotropic kagome lattice. The DFT calculations reveal that this compound features strongly coupled frustrated spin chains, thus a completely different type of magnetic frustration is realized. Second, the developed approach is capable of providing accurate estimates for the leading magnetic couplings, and consequently, reliably parameterize the microscopic Hamiltonian. Dioptase Cu6Si6O18*6H2O is an instructive example showing that the microscopic theoretical approach eliminates possible ambiguity and reliably yields the correct parameterization. Third, DFT calculations yield even better accuracy for the ratios of magnetic exchange couplings. This holds also for small interchain or interplane couplings that can be substantially smaller than the leading exchange. Hence, band structure calculations provide a unique possibility to address the interchain or interplane coupling regime, essential for the magnetic ground state, but hardly perceptible in the experiment due to the different energy scales. Finally, an important advantage specific to magnetically frustrated systems should be mentioned. Numerous theoretical and numerical studies evidence that low-dimensionality and frustration effects are typically entwined, and their disentanglement in the experiment is at best challenging. In contrast, the computational procedure allows to distinguish between these two effects, as demonstrated by studying the long-range magnetic ordering transition in quasi-1D spin chain systems. The computational approach presented in the thesis is a powerful tool that can be directly applied to numerous S=1/2 Heisenberg materials. Moreover, with minor modifications, it can be largely extended to other metallates with higher value of spin. Besides the excellent performance of the computational approach, its relevance should be underscored: for all the systems investigated in this work, the DFT-based studies not only reproduced the experimental data, but instead delivered new valuable information on the magnetic properties for each particular compound. Beyond any doubt, further computational studies will yield new surprising results for known as well as for new, yet unexplored compounds. Such "surprising" outcomes can involve the ferromagnetic nature of the couplings that were previously considered antiferromagnetic, unexpected long-range couplings, or the subtle balance of antiferromagnetic and ferromagnetic contributions that "switches off" the respective magnetic exchange. In this way, dozens of potentially interesting systems can acquire quantitative microscopic magnetic models. The results of this work evidence that elaborate experimental methods and the DFT-based modeling are of comparable reliability and complement each other. In this way, the advantageous combination of theory and experiment can largely advance the research in the field of low-dimensional quantum magnetism. For practical applications, the excellent predictive power of the computational approach can largely alleviate designing materials with specific properties.
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Feldbacher, Martin. "Hubbard and Kondo lattice models in two dimensions a QMC study /." [S.l. : s.n.], 2003. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB10976174.

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Pang, Wei. "QML-Morven a framework for learning qualitative models /." Thesis, Available from the University of Aberdeen Library and Historic Collections Digital Resources, 2009. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?application=DIGITOOL-3&owner=resourcediscovery&custom_att_2=simple_viewer&pid=25499.

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Hills, Esther. "Uncertainty propagation in structural dynamics with special reference to component modal models." Thesis, University of Southampton, 2006. https://eprints.soton.ac.uk/65678/.

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Herrán, Fernando. "Validation, improvement and implementation of sorption mathematical models using a quartz crystal microbalance (QCM)." Thesis, Lyon 1, 2014. http://www.theses.fr/2014LYO10063.

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Ce travail de thèse a été réalisé, dans le cadre de la convention CIFRE 1538/2010, au sein d'adixen Vacuum Products (aVP) à Annecy (France). Il a été en partie financé par le projet S.P.A.M. (Surface Physics for Advanced Manufacturing). Il s'agit d'un projet ITN financé par le programme Pierre et Marie Curie de la Communauté Européenne rassemblant des partenaires universitaires et industriels dont aVP. L'objectif de ce programme était de contribuer à l'étude et au développement de la lithographie et en particulier la lithographie à ultraviolet extrême (EUVL). Ce travail porte sur la problématique de la contamination moléculaire dans l'industrie des semi-conducteurs ainsi que les besoins de maitrise de contamination pour la photolithographie EUVL. Pour ce faire, des modèles mathématiques de sorption ont été recherchés, testés et validés à l'aide d'une microbalance à quartz (QCM). Cette technique, possédant une très haute sensibilité (au niveau du ng), permet d'étudier les phénomènes de sorption relatifs à tout matériau déposable sur un cristal de quartz mis au contact de différents gaz dont la pression partielle est maitrisée. Par conséquent, le protocole détaillé dans cette thèse peut être utilisé pour d'autres types d'expériences dans toute discipline nécessitant une telle précision. Le déroulement de notre plan d'expérience comprend deux types de matériaux naturellement différents : un polymère (PCBA) d'une part et deux substrats métalliques (SS AISI 304 et CuC1) d'autre part pour lesquels le transfert de masse n'intervient pas de la même manière. Les gaz d'étude ont été sélectionnés pour leur intérêt dans l'industrie des semi-conducteurs (vapeur d'eau, HF). Le résultat de l'interaction des gaz d'étude avec les substrats ciblés est suivi en direct par la QCM, ce qui permet non seulement de valider et/ou améliorer les modèles mathématiques déjà disponibles dans la bibliographie mais aussi de les ajuster aux données obtenues expérimentalement. Nous pouvons ainsi non seulement prévoir le comportement des contaminants à l'équilibre (isothermes) et à l'état transitoire mais aussi réaliser des estimations de sorption à des températures autres que celles retenues pour notre plan d'expérience
This thesis was carried out within the framework of the CIFRE 1538/2010 convention at adixen Vacuum Products (aVP) in Annecy (France). It is has been partly funded by the ITN project SPAM (Surface Physics for Advanced Manufacturing). SPAM is an ITN project funded by the Pierre and Marie Curie program of the European Community bringing together academic institutions and industrial partners including aVP. The objective of this program was to contribute to the study and development of lithography and extreme ultraviolet lithography (EUVL). This work deals with the issues caused by the airborne molecular contamination (AMC) in the semiconductor industry and their control needs in EUVL and the current photolithography. In order to tackle the problem, sorption mathematical models have been investigated and validated using a quartz crystal microbalance (QCM). This technique, which confers a high sensitivity (ng level), allows the study of the sorption phenomena related to any deposable material onto a quartz crystal in contact with different gases whose concentrations are accurately controlled. Consequently, the protocol detailed in this thesis may be used for other types of experiments in any discipline requiring such precision. The conduct of our experimental plan includes two types of naturally different materials: a polymer (PCBA) on the one hand and two metallic substrates (stainless steel AISI 304 and CuC1) on the other hand, for which the matter transfer does not occur in the same manner. Studied gases were selected for their interest in the semiconductor industry (water vapor, HF). The resulting interaction between the studied gases and the targeted substrates is continuously followed by the QCM, which allows not only to validate the mathematical models already proposed by the literature but also to fit the experimentally obtained data. This enables us not only to predict the behavior of the AMC at equilibrium (isotherms) and the transient state but also to provide sorption estimations at temperatures other than those specified in our experimental plan
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Pinheiro, Dejailson Nascimento. "MHNCS: um middleware para o desenvolvimento de aplicações móveis cientes de contexto com requisitos de QoC." Universidade Federal do Maranhão, 2014. http://tedebc.ufma.br:8080/jspui/handle/tede/523.

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Made available in DSpace on 2016-08-17T14:53:29Z (GMT). No. of bitstreams: 1 DISSERTACAO Dejailson Nascimento Pinheiro.pdf: 1433962 bytes, checksum: 4173dad207f09fa2033a834f86a5d4b7 (MD5) Previous issue date: 2014-08-06
Mobile Social Networks (MSNs) are social structures in which members relate in groups and interaction is accomplished through information and communication technologies using portable devices and wireless network technologies. Healthcare is one among the many possible areas of RSMs application. The MobileHealthNet project, developed in partnership by UFMA and PUC-Rio, aims to develop a middleware that allows access to social networks and facilitate the development of collaborative services targeting the health domain, the exchange of experiences and communication between patients and health professionals, as well as a better management of health resources by government agencies. An important aspect in the development of the MobileHealthNet middleware is the infrastructure necessary for the gathering, distribution and processing of context data. In this master thesis we propose a software infrastructure incorporated to the MobileHealthNet middleware that allows the specification, acquisition, validation and distribution of context data, considering quality requirements, making them available to context-aware applications. The distribution of context data is based on a data-centric the publish/subscribe model, using the OMG-DDS specification.
Redes Sociais Móveis (RSMs) são estruturas sociais em que seus membros relacionam-se em grupos e a interação é realizada através de tecnologias de informação e comunicação utilizando dispositivos portáteis com acesso a tecnologias de rede sem fio. Entre os muitos domínios de aplicação das RSMs, temos a área da saúde. O projeto MobileHealthNet, desenvolvido em parceria pela UFMA e PUC-Rio, tem por objetivo desenvolver um middleware que permita o acesso às redes sociais e facilite o desenvolvimento de serviços colaborativos para o setor da saúde, a troca de experiências e a comunicação entre pacientes e profissionais da saúde, além de uma melhor gestão dos recursos da saúde por órgãos governamentais. Um aspecto importante no desenvolvimento do middleware proposto pelo projeto MobileHealthNet é a infraestrutura necessária para a coleta, distribuição e processamento de dados de contexto. Neste trabalho de mestrado é proposta uma infraestrutura de software incorporada ao middleware MobileHealthNet que permite a especificação, obtenção, validação e distribuição de dados de contexto, considerando requisitos de qualidade, tornando-os disponíveis a aplicações sensíveis ao contexto. A distribuição dos dados de contexto é baseado no modelo publish/subscribe centrado em dados, utilizando-se a especificação OMG-DDS.
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Calderon, F. A. "Non-linear instabilities in the edge of tokamak plasmas : characterization of edge localized modes and numerical simulation of blob dynamics using a hybrid model." Thesis, University of Warwick, 2015. http://wrap.warwick.ac.uk/77687/.

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Characterization of edge tokamak plasma instabilities by measuring emergent phenomena within a range of frequencies above the ion cyclotron frequency have been explored in two ways: using the inter-event waiting times of Edge Localized Modes (ELMs) occurrences in measured time series of JET plasmas and by performing 2D/3D simulations of filamentary structures dynamics using a hybrid model plasma description, i.e. kinetic ion particles and massless charge neutralizing electron fluid. The analysis of ELMs time series using characteristic emission lines Da of JET tokamak in otherwise similar plasmas was performed with only a minimal number of drivers such as the gas puffing rate. They have shown a key role in changing the underlying system mode cycle where a threshold value revealed its transition from single harmonic behaviour to a transitioning phase into a total lost of the state and born of a higher frequency resonant mode. Hybrid simulations of blobs/filaments are performed in 2D/3D to observe the kinetic evolution of these plasma structures over several ion gyroperiods. Novel 3D simulations represent the first kinetic simulations of these structures along the parallel direction using a kinetic description. We have investigated the evolution and the internal density currents which provide insight of the effects of finite Larmor radius in the blobs dynamics and evolution.
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Grime, John Michael Alexander. "Passive permeation in model biological membranes." Thesis, University of Warwick, 2008. http://wrap.warwick.ac.uk/1990/.

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The subject of this thesis is the study of mass transport using experimental and theoretical techniques, specifically the investigation of transport through phospholipid barriers which serve as a model for biological systems. To this end, experimental monolayer and bilayer membranes are produced, and the permeation of gas and weak acid molecules is quantitatively measured. Potentiostatic measurement of oxygen permeation in monolayers formed using two varieties of phospholipid at the air/water interface, under varying levels of compression (and hence surface pressure), was performed using ultramicroelectrodes, followed by finite element simulations to parameterise the approach curves produced and hence determine the first-order rate constant for the permeation process. As expected, the rate of permeation decreases significantly as the monolayers are compressed, with a simple surface pressure model proving insufficient to describe these trends. Molecular dynamics simulations are employed to investigate the excess free energy barriers for permeating oxygen molecules using umbrella sampling and the weighted histogram analysis method. The results are shown to be unreliable in their description of the permeation process. Experimental bilayers are formed from lecithin, pure POPC, and a mixture of POPC and cholesterol in a supporting electrolyte solution. The permeation of a homologous series of protonated weak acids is studied using laser scanning confocal microscopy to selectively excite and detect the state of fluorescein, a dye with pH-sensitive fluorescence intensity. These experimental results are again parameterised with finite element models, and the trend of decreasing permeation coefficient as the weak acid molecules increase in size is reported. This is in direct contradiction to the established Overton’s Rule. Molecular dynamics simulations of the permeation of three of the weak acids in a POPC bilayer is performed to determine excess free energy profiles using umbrella sampling, combined with the weighted histogram analysis method. Serious flaws are found in the method and execution of this aspect of the work.
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Barducci, D. "Collider phenomenology of the 4D composite Higgs model." Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/369391/.

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This thesis is devoted to the phenomenological analysis at the large hadron collider (LHC), as well at a future electron positron collider, of the 4 dimensional (4D) composite Higgs model (4DCHM), a compelling beyond the standard model scenario where the Higgs state arises as a pseudo Nambu Goldstone boson. The motivations and the main characteristics of the model are summarised and then an analysis of the gauge and Higgs sectors of the 4DCHM is performed. Finally we propose a general framework for the analysis of models with an extended quark sector that we have applied to a simplified composite Higgs scenario.
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Books on the topic "QMC model"

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Quantitative Methods for Business: The A-Z of QM. Taylor & Francis Group, 2004.

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Development of PC based data acquisition system for QMS in both analog / pulse counting modes. Mumbai: Bhabha Atomic Research Centre, 2006.

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Goertzel, Ben, Laurent Orseau, and Javier Snaider. Artificial General Intelligence: 7th International Conference, AGI 2014, Quebec City, QC, Canada, August 1-4, 2014, Proceedings. Springer, 2014.

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Artificial General Intelligence: 7th International Conference, AGI 2014, Quebec City, QC, Canada, August 1-4, 2014, Proceedings. Springer International Publishing AG, 2014.

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Graham, Fan Chung, Anthony Bonato, and Paweł Prałat. Algorithms and Models for the Web Graph: 13th International Workshop, WAW 2016, Montreal, QC, Canada, December 14-15, 2016, Proceedings. Springer, 2016.

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Graham, Fan Chung, Anthony Bonato, and Paweł Prałat. Algorithms and Models for the Web Graph: 13th International Workshop, WAW 2016, Montreal, QC, Canada, December 14–15, 2016, Proceedings. Springer, 2016.

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Book chapters on the topic "QMC model"

1

Grams, G., A. M. Santos, P. K. Panda, C. Providência, and D. P. Menezes. "Pasta Phases Within the QMC Model." In Recent Progress in Few-Body Physics, 649–52. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-32357-8_102.

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Genz, Alan, and Amber Smith. "QMC Computation of Confidence Intervals for a Sleep Performance Model." In Monte Carlo and Quasi-Monte Carlo Methods 2010, 373–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27440-4_19.

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Bachelet, Giovanni B., and Andrea C. Cosentini. "Phase Separation in the 2D Hubbard Model : A Challenging Application of Fixed-Node QMC." In Quantum Monte Carlo Methods in Physics and Chemistry, 375–97. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4792-7_14.

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Childs, Andrew M., David Gosset, and Zak Webb. "The Bose-Hubbard Model is QMA-complete." In Automata, Languages, and Programming, 308–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43948-7_26.

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Sommerhoff, Benedikt. "EFQM-Excellence-Modell mit Anleitung zur Selbstbewertung." In Handbuch QM-Methoden, 669–96. München: Carl Hanser Verlag GmbH & Co. KG, 2015. http://dx.doi.org/10.3139/9783446444416.019.

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Feng, Yuan, Ernst Moritz Hahn, Andrea Turrini, and Lijun Zhang. "QPMC: A Model Checker for Quantum Programs and Protocols." In FM 2015: Formal Methods, 265–72. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19249-9_17.

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Suresh Kumar, Pemmada, Rajyalaxmi Pedada, Janmenjoy Nayak, H. S. Behera, G. M. Sai Pratyusha, and Vanaja Velugula. "QCM Sensor-Based Alcohol Classification Using Ensembled Stacking Model." In Computational Intelligence in Data Mining, 651–66. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9447-9_49.

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Sood, S., Rohit Kumar, Arun Sharma, and Rajeev K. Puri. "On the Fragment Production and Phase Transition Using QMD + SACA Model." In Springer Proceedings in Physics, 65–79. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9062-7_6.

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Pang, Wei, and George M. Coghill. "QML-AiNet: An Immune-Inspired Network Approach to Qualitative Model Learning." In Lecture Notes in Computer Science, 223–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14547-6_18.

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Pedraza-González, Laura, María del Carmen Marín, Luca De Vico, Xuchun Yang, and Massimo Olivucci. "On the Automatic Construction of QM/MM Models for Biological Photoreceptors: Rhodopsins as Model Systems." In Challenges and Advances in Computational Chemistry and Physics, 1–75. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57721-6_1.

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Conference papers on the topic "QMC model"

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PANDA, P. K., and G. KREIN. "Finite temperature nucleon mass in QMC Model." In Proceedings of the Sixth International Workshop. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/9789812799814_0041.

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Zorgati, Hela, Raoudha Ben Djemaa, Ikram Amous Ben Amor, and Florence Sedes. "QoC enhanced semantic IoT model." In IDEAS 2020: 24th International Database Engineering & Applications Symposium. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3410566.3410610.

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Ignatious, Henry Alexander, Hesham-El-Sayed, and Manzoor Ahmad Khan. "Enhanced Dyna-QPC model with Fuzzy logic to train gaming models." In 2021 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT). IEEE, 2021. http://dx.doi.org/10.1109/gcaiot53516.2021.9692963.

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Adelson, Edward H., and Eero P. Simoncelli. "Hexagonal QMF pyramids." In Applied Vision. Washington, D.C.: Optica Publishing Group, 1989. http://dx.doi.org/10.1364/av.1989.wb2.

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It is widely recognized that effective image processing and machine vision must involve the use of information at multiple scales, and that models of human vision must be multi-scale as well. The most commonly used image representations are linear transforms, in which an image is decomposed into a sum of elementary basis functions. Besides being well understood, linear transformations in the form of convolutions provide a useful model of some of the early processing in the human visual system.
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Tarazaga, Pablo A., Yoram Halevi, and Daniel J. Inman. "Model Updating Using a Quadratic Form." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84786.

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The paper presents a method for model updating, called Quadratic Compression Method (QCM). The updated model has a fixed structure with some free parameters. Algebraic manipulations of the eigenvalue equation lead to a simplified equation with a lower dimension. This equation is then solved in a Least Squares sense. The method is shown to belong to the class of Minimization of the Error in the Characteristic Equation (MECE), with a particular choice of the weighting matrix. The paper presents also a weighted version of the method, called WQCM, which is motivated by reducing the effect of measuring noise. In addition to the theoretic analysis, the superior robustness to noise properties of QCM and WQCM are demonstrated by simulations and experimentally.
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Sun, Hejian, John C. Donini, Kirk H. Michaelian, Sankara Papavinasam, and R. Winston Revie. "Application of the Quartz Crystal Microbalance to Corrosion Investigation." In 1998 2nd International Pipeline Conference. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/ipc1998-2026.

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The quartz crystal microbalance (QCM) provides an extremely sensitive technique for detecting small changes in mass and viscosity on the quartz crystal surface. QCM can be used in oil, gas or water without the problems of high solution resistance. In order to use QCM to model pipeline corrosion, an iron quartz crystal electrode was prepared using an electrodeposition method. The reproducibility, effectiveness and accuracy of the iron QCM were tested in salt solution. The adsorption of amines was studied to investigate their effects on the corrosion behaviour of the iron QCM.
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Serykh, V. I., G. G. Egiazaryan, and Yu A. Palchun. "Analysis of Generalized Mathematical Models for QMS." In 2006 8th International Conference on Actual Problems of Electronic Instrument Engineering. IEEE, 2006. http://dx.doi.org/10.1109/apeie.2006.4292504.

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Beaudry, Normand J., Tobias Moroder, Norbert Lütkenhaus, and Alexander Lvovsky. "Squashing Models for Optical Measurements in Quantum Communication." In QUANTUM COMMUNICATION, MEASUREMENT AND COMPUTING (QCMC): Ninth International Conference on QCMC. AIP, 2009. http://dx.doi.org/10.1063/1.3131337.

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Hermi, Sofiene, Taieb Ben Romdhane, and Raouf Ketata. "Intelligent model of continuous improvement mechanisms scope of QMS." In 2009 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2009. http://dx.doi.org/10.1109/icsmc.2009.5345992.

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Ukai, R., M. Yukawa, S. C. Armstrong, J. Yoshikawa, P. van Loock, A. Furusawa, and Alexander Lvovsky. "Generation of Four-Mode Continuous-Variable Cluster States." In QUANTUM COMMUNICATION, MEASUREMENT AND COMPUTING (QCMC): Ninth International Conference on QCMC. AIP, 2009. http://dx.doi.org/10.1063/1.3131290.

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Reports on the topic "QMC model"

1

Gray, Genetha Anne, Paul T. Boggs, and Matthew D. Grace. QMU as an approach to strengthening the predictive capabilities of complex models. Office of Scientific and Technical Information (OSTI), September 2010. http://dx.doi.org/10.2172/1097209.

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Munhuweyi, Ngonidzashe Portia, Zita Ekeocha, Stephen Robert Byrn, and Kari L. Clase. Resource Modelling for the QC Laboratory at XYZ Pharmaceuticals in Southern Africa. Purdue University, November 2021. http://dx.doi.org/10.5703/1288284317431.

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Quality control (QC) laboratories are critical components in drug manufacturing and running them efficiently contributes to better, consistent supply of cost-effective quality products, while also and preventing deaths due to untimely delivery or unavailability of medicines. Having a resource modelling tool to estimate resources needed to handle a particular demand in a given system is essential for efficient running of QC laboratory. This study was done to establish such a model at XYZ Pharmaceuticals. The list of all products manufactured by XYZ Pharmaceuticals Southern Africa was reviewed; and product families for all products were identified. Analysts’ hands on time (HOT) to process one sample of each of the product families was estimated. The number of analysts required to support the workload at XYZ Pharmaceuticals was calculated using the HOTs for the different product families and the Maslaton’s Calculation Model. A baseline resource model was established.
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Schutt, Timothy, and Manoj Shukla. Predicting the impact of aqueous ions on fate and transport of munition compounds. Engineer Research and Development Center (U.S.), August 2021. http://dx.doi.org/10.21079/11681/41481.

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A model framework for natural water has been developed using computational chemistry techniques to elucidate the interactions between solvated munition compounds and eight common ions in naturally occurring water sources. The interaction energies, residence times, coordination statistics, and surface preferences of nine munition related compounds with each ion were evaluated. The propensity of these interactions to increase degradation of the munition compound was predicted using accelerated replica QM/MM simulations. The degradation prediction data qualitatively align with previous quantum mechanical studies. The results suggest that primary ions of interest for fate and transport modeling of munition compounds in natural waters may follow the relative importance of SO₄²⁻, Cl⁻ ≫ HCO₃⁻, Na⁺, Mg²⁺ > Ca²⁺, K⁺, and NH₄⁺.
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Huang, Haohang, Erol Tutumluer, Jiayi Luo, Kelin Ding, Issam Qamhia, and John Hart. 3D Image Analysis Using Deep Learning for Size and Shape Characterization of Stockpile Riprap Aggregates—Phase 2. Illinois Center for Transportation, September 2022. http://dx.doi.org/10.36501/0197-9191/22-017.

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Riprap rock and aggregates are extensively used in structural, transportation, geotechnical, and hydraulic engineering applications. Field determination of morphological properties of aggregates such as size and shape can greatly facilitate the quality assurance/quality control (QA/QC) process for proper aggregate material selection and engineering use. Many aggregate imaging approaches have been developed to characterize the size and morphology of individual aggregates by computer vision. However, 3D field characterization of aggregate particle morphology is challenging both during the quarry production process and at construction sites, particularly for aggregates in stockpile form. This research study presents a 3D reconstruction-segmentation-completion approach based on deep learning techniques by combining three developed research components: field 3D reconstruction procedures, 3D stockpile instance segmentation, and 3D shape completion. The approach was designed to reconstruct aggregate stockpiles from multi-view images, segment the stockpile into individual instances, and predict the unseen side of each instance (particle) based on the partial visible shapes. Based on the dataset constructed from individual aggregate models, a state-of-the-art 3D instance segmentation network and a 3D shape completion network were implemented and trained, respectively. The application of the integrated approach was demonstrated on re-engineered stockpiles and field stockpiles. The validation of results using ground-truth measurements showed satisfactory algorithm performance in capturing and predicting the unseen sides of aggregates. The algorithms are integrated into a software application with a user-friendly graphical user interface. Based on the findings of this study, this stockpile aggregate analysis approach is envisioned to provide efficient field evaluation of aggregate stockpiles by offering convenient and reliable solutions for on-site QA/QC tasks of riprap rock and aggregate stockpiles.
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