Добірка наукової літератури з теми "DDA modélisation"
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Статті в журналах з теми "DDA modélisation":
Leanne A. Grieves, Quinlan M. Mann, Michael J. Morel, and James S. Quinn. "Apparent range expansion or recolonization of Puerto Rican Nightjars (Guabairo; <i>Antrostomus noctitherus</i>) on the Cabo Rojo National Wildlife Refuge." Journal of Caribbean Ornithology 37 (March 7, 2024): 12–17. http://dx.doi.org/10.55431/jco.2024.37.12-17.
Дисертації з теми "DDA modélisation":
Alves, Alves Estefania. "Émission de photons dans un microscope à effet tunnel : application à l'étude des propriétés optiques et électroniques de systèmes hybrides métal-semi-conducteur." Electronic Thesis or Diss., Toulouse 3, 2023. http://www.theses.fr/2023TOU30351.
Transition metal dichalcogenides (TMDs) are a family of semiconductors that exhibit a direct bandgap when their thickness is reduced to a monolayer, giving them remarkable optical and electronic properties, including high-efficiency luminescence. Photon emission from these monolayers is investigated using the STM-LE (Light Emission induced by Scanning Tunneling Microscopy) technique. This innovative method involves the localized injection of charge carriers into TMD monolayers through the tunneling current. This process results in the formation of excitons, electron-hole pairs bound by Coulomb forces, within the TMD monolayer. These excitons decay radiatively emitting photons whose energy corresponds to the direct bandgap of the semiconductor. This light emission process is experimentally studied using an STM microscope combined with a light detection system, enabling spectral and spatial analysis of the photon emission with nanometer-scale resolution. The electromagnetic interaction between TMD layers and their metallic substrates leads to the formation of hybrid metal-semiconductor structures, the optical and electronic properties of which are under investigation. The nature of the substrate (plasmonic or non-plasmonic) and its morphology (uniform or nanostructured) play a crucial role in both the intensity and spectral distribution of the emitted photons. Indeed, for plasmonic substrates, the photon emission process involves the electromagnetic coupling between plasmon modes excited by electron tunneling and excitons confined within the TMD monolayer. This interaction leads to an enhancement of the photon emission. Moreover, by tuning the morphology of the substrate, it becomes possible to modify this coupling and thus, the photon emission rate. Considering the significant role of the electromagnetic interaction between plasmon modes and excitons in the luminescence from TMD monolayers within a hybrid TMD/metal-plasmonic STM junction, electromagnetic numerical simulations are carried out using the DDA (Discrete Dipole Approximation) method. These simulations account for electron tunneling using the Quantum Corrected Model. By simulating the optical response of the junction to an incident excitation wave, the electromagnetic modes within the junction and their dependence on the tunneling parameters, such as tip-surface distance and bias voltage, are investigated. In particular, gap plasmon modes and the Fano-type plasmon-exciton coupling at the interface between the monolayer and the plasmon substrate are pointed out. Furthermore, the role of substrate morphology on the properties of these modes is also addressed. Based on theoretical models describing the light emission taking place in purely metallic STM junctions proposed in the literature, a model is developed to compute theoretical light emission spectra for a hybrid TMD/plasmonic-metal STM junction. This model takes into account the optical and electronic properties of the TMD monolayer, and the electron tunneling as the excitation source at the origin of the light emission phenomenon. In addition, using the results obtained from the numerical simulations, the electromagnetic coupling between the excitons confined in the TMD monolayer and the plasmons excited in the nanocavity formed by the tip-surface configuration of the STM is also considered. Finally, the effect of the substrate morphology on the light emission is studied theoretically. These results are compared with the experimental findings in order to validate the model presented
Garcia, Fernandez Carlos. "Modeling Optical Properties of Combustion Soot emitted in the Troposphere." Thesis, Besançon, 2015. http://www.theses.fr/2015BESA2040/document.
This work concerns the modeling, at the molecular level, of the interaction between carbonaceous particles of nanometric size and the electromagnetic radiation. The goal is to improve our understanding of the optical properties of soot particles, to better quantify the influence of soot on the atmosphere and on climate change. The study of the interaction between radiation and fresh soot particles was carried out using the point dipole interaction method; it has been shown that: i) the mass absorption coefficient (MAC) of these soot nanoparticles may significantly depend on their atomistic details, especially between 200 and 350 nm; ii) the MAC depends on whether the heart of the carbonaceous particle is occupied or not by graphite planes; iii) an analytical model is not suitable for calculating the MAC of carbonaceous nanoparticles having structural defects. In addition, quantum chemical methods have been used to characterize the ageing of soot. The results obtained are i) NO, Cl, and HCl are physisorbed on a perfect carbonaceous surface whereas on a defective surface, these species are chemisorbed and lead to a modification of the surface; ii) on a carbonaceous surface, the presence of adsorbed Cl atoms leads to a strong trapping of the surrounding water molecules. This may be related to the highly hydrophilic nature of soot emitted during fires in industrial environments. Finally, the PDI method was applied to calculate the polarizability of PAHs to help at interpreting the absorption spectra of carbonaceous grains in the interstellar medium, including molecules for which no data was currently available
Thiao, Mamadou. "Approches de la programmation DC et DCA en data mining : modélisation parcimonieuse de données." Phd thesis, INSA de Rouen, 2011. http://tel.archives-ouvertes.fr/tel-00667179.
Trépanier, Diego. "Modélisation de la dynamique d'un manipulateur sériel plan à 2 ddl submergé dans un fluide." Thesis, Université Laval, 2010. http://www.theses.ulaval.ca/2010/26753/26753.pdf.
Tran, Van Nam. "Adsorption statique de PCB et de DDT sur charbons actifs en milieux aqueux." Thesis, Lyon 1, 2012. http://www.theses.fr/2012LYO10301.
The solid-liquid adsorption of PCBs and DDT is an effective process for the recuperation of wastewaters but a better understanding of the involved mechanism is required. In this study, the static adsorption kinetics were mainly carried out at 25 ° C for 2-PCB, a mixture of tetra-, penta-and hexa-CB, and 4,4 '-DDT onto three different powdered activated carbons (AC) of the precursor (coal, wood) and the activation mode (H2O, H3PO4) in water, with or without ethanol. The prominent results were as follows: The adsorption of the pollutant on the AC is favored if its solubility in the liquid phase is lower. As a result, the adsorption of the hydrophobic pollutant is significantly increased in pure water. Moreover, the adsorption of pollutants favored by the developed microporosity is a surface phenomenon which involved the Van der Waals forces. A good fit between the size of molecules and the average width of the slit-shape pores gave a maximum confinement of molecules in the micropores. The π−π interaction between adsorbate and adsorbent, favored by the number of Cl, is not excluded. Finally, by studying the kinetics of the initial conditions, we found that the adsorption is limited by the external mass transfer. The internal surface diffusion coefficients estimated from applying the homogeneous surface diffusion models (HSDM) showed that the adsorption kinetics are almost completely governed by the intra-particle diffusion
Sakami, Siham. "Modélisation numérique des structures composites multicouches à l’aide d’une approche discrète au sens de Mindlin. Le modèle DDM (Displacement Discrete Mindlin)." Reims, 2008. http://theses.univ-reims.fr/exl-doc/GED00000982.pdf.
The present work of the thesis deals with the theoretical formulation and the evaluation of a new first order finite element for multilayered/sandwich plates and shells. It’s based on a displacement variational model that we consider as discrete, insofar as we introduce kinematic and mechanical hypothesises in a discrete manner. This model, labelled DDM (Discrete Displacement Mindlin), leads to a finite element which is geometrically simple (4 node) and efficient, owing to the linearity of bending curvatures obtained from a quadratic approximation of the normal rotations to the plate mid-surface. The new element takes into account the transverse shear effects along thickness direction and gives thin plate results when the ratio L/h (Length/ thickness) becomes big. It has been successfully validated across some known testing problems, from thin to thick laminated and sandwich
Bédard, Sébastien. "Modélisation et simulation dynamique d'un bipède plan à 9 DDL : à titre de recherche préliminaire pour le développement d'un robot bipède anthropomorphe." Thesis, Université Laval, 2006. http://www.theses.ulaval.ca/2006/24083/24083.pdf.
Le, Hoai Minh. "Modélisation et optimisation non convexe basées sur la programmation DC et DCA pour la résolution de certaines classes des problèmes en fouille de données et cryptologie." Thesis, Metz, 2007. http://www.theses.fr/2007METZ054S/document.
This thesis is dedicated to non-convex modeling and the optimization based on the DC programming and DCA for certain classes of problems of two important domains : the Data Mining and the Cryptology. They are non-convex optimization problems of very large dimensions for which the research of good solution methods is always of actuality. Our work is based mainly on the DC programming and DCA that have been successfully applied in various fields of applied sciences, including machine learning. It is motivated and justified by the robustness and the good performance of DC programming and DCA in comparison with the existing methods. This thesis is devised in three parties. The first part, entitling Methodology, serves as a reference for other chapters. The first chapter concerns the programming of DC and DCA while the second chapter describes the genetic algorithms. In the second part, we develop the DC and DCA programming to solve two classes of problems in Data Mining. In the chapter four, we take consideration into the model of classification FCM and develop the programming DC and DCA for their resolution. Many formulations DC in correspondence to different decompositions DC are proposed. Our work in hierarchic classification (chapter 5) is motivated by one of its interesting and very important applications, known as muliticast communication. It's a non-convex, non differentiable, non-convex problem in a very big dimension with which we have reformulated in the forms of 3 different DC programs and developed the DCA relative. The 3rd part focuses on the Cryptology. The 1st chapter is the construction of stable boonlean functions with high degree of non-linearity - one of the crucial problems of Cryptography. Many versions of combination of 2 approaches, DCA and Genetic Algorithms (GA) are studied in the purpose of exploiting simultaneously the efficacy of each approach. The secondrd work is about the techinics of cryptanalyse of a identification scheme based on two problems Perceptron (PP) and Perceptron Permuted. We propose a method of resolving two problems PP and PPA by DCA and a cutting plan method in the last chapter
Le, Hoai Minh. "Modélisation et optimisation non convexe basées sur la programmation DC et DCA pour la résolution de certaines classes des problèmes en fouille de données et cryptologie." Electronic Thesis or Diss., Metz, 2007. http://www.theses.fr/2007METZ054S.
This thesis is dedicated to non-convex modeling and the optimization based on the DC programming and DCA for certain classes of problems of two important domains : the Data Mining and the Cryptology. They are non-convex optimization problems of very large dimensions for which the research of good solution methods is always of actuality. Our work is based mainly on the DC programming and DCA that have been successfully applied in various fields of applied sciences, including machine learning. It is motivated and justified by the robustness and the good performance of DC programming and DCA in comparison with the existing methods. This thesis is devised in three parties. The first part, entitling Methodology, serves as a reference for other chapters. The first chapter concerns the programming of DC and DCA while the second chapter describes the genetic algorithms. In the second part, we develop the DC and DCA programming to solve two classes of problems in Data Mining. In the chapter four, we take consideration into the model of classification FCM and develop the programming DC and DCA for their resolution. Many formulations DC in correspondence to different decompositions DC are proposed. Our work in hierarchic classification (chapter 5) is motivated by one of its interesting and very important applications, known as muliticast communication. It's a non-convex, non differentiable, non-convex problem in a very big dimension with which we have reformulated in the forms of 3 different DC programs and developed the DCA relative. The 3rd part focuses on the Cryptology. The 1st chapter is the construction of stable boonlean functions with high degree of non-linearity - one of the crucial problems of Cryptography. Many versions of combination of 2 approaches, DCA and Genetic Algorithms (GA) are studied in the purpose of exploiting simultaneously the efficacy of each approach. The secondrd work is about the techinics of cryptanalyse of a identification scheme based on two problems Perceptron (PP) and Perceptron Permuted. We propose a method of resolving two problems PP and PPA by DCA and a cutting plan method in the last chapter
Belghiti, Moulay Tayeb. "Modélisation et techniques d'optimisation en bio-informatique et fouille de données." Thesis, Rouen, INSA, 2008. http://www.theses.fr/2008ISAM0002.
This Ph.D. thesis is particularly intended to treat two types of problems : clustering and the multiple alignment of sequence. Our objective is to solve efficiently these global problems and to test DC Programming approach and DCA on real datasets. The thesis is divided into three parts : the first part is devoted to the new approaches of nonconvex optimization-global optimization. We present it a study in depth of the algorithm which is used in this thesis, namely the programming DC and the algorithm DC ( DCA). In the second part, we will model the problem clustering in three nonconvex subproblems. The first two subproblems are distinguished compared to the choice from the norm used, (clustering via norm 1 and 2). The third subproblem uses the method of the kernel, (clustering via the method of the kernel). The third part will be devoted to bioinformatics, one goes this focused on the modeling and the resolution of two subproblems : the multiple alignment of sequence and the alignment of sequence of RNA. All the chapters except the first end in numerical tests
Частини книг з теми "DDA modélisation":
Igalens, Jacques. "Chapitre 2. Le choix d’un design de recherche dans le cadre d’un DBA, modélisation ou quasi-expérimentation ?" In Produire du savoir et de l'action, 27–35. EMS Editions, 2020. http://dx.doi.org/10.3917/ems.peret.2020.01.0027.