Academic literature on the topic 'Simulations Monte Carlo cinétiques'
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Journal articles on the topic "Simulations Monte Carlo cinétiques"
Giersz, Mirek. "Monte-Carlo Simulations." Symposium - International Astronomical Union 174 (1996): 101–10. http://dx.doi.org/10.1017/s0074180900001431.
Full textSoisson, F. "Monte Carlo Simulations." EPJ Web of Conferences 14 (2011): 02003. http://dx.doi.org/10.1051/epjconf/20111402003.
Full textJanke, Wolfhard. "Multicanonical Monte Carlo simulations." Physica A: Statistical Mechanics and its Applications 254, no. 1-2 (May 1998): 164–78. http://dx.doi.org/10.1016/s0378-4371(98)00014-4.
Full textChow, F. K., and P. K. MacKeown. "Multigrid Monte Carlo Simulations." Progress of Theoretical Physics Supplement 138 (2000): 456–57. http://dx.doi.org/10.1143/ptps.138.456.
Full textBERG, BERND A. "MULTICANONICAL MONTE CARLO SIMULATIONS." International Journal of Modern Physics C 04, no. 02 (April 1993): 249–56. http://dx.doi.org/10.1142/s0129183193000264.
Full textEsselink, K., L. D. J. C. Loyens, and B. Smit. "Parallel Monte Carlo simulations." Physical Review E 51, no. 2 (February 1, 1995): 1560–68. http://dx.doi.org/10.1103/physreve.51.1560.
Full textBlue, James L., Isabel Beichl, and Francis Sullivan. "Faster Monte Carlo simulations." Physical Review E 51, no. 2 (February 1, 1995): R867—R868. http://dx.doi.org/10.1103/physreve.51.r867.
Full textSerantes, D. "Superparamagnetism and Monte Carlo Simulations." Open Surface Science Journal 4, no. 1 (August 27, 2012): 71–84. http://dx.doi.org/10.2174/1876531901204010071.
Full textSmit, Berend, and R. Krishna. "Monte Carlo simulations in zeolites." Current Opinion in Solid State and Materials Science 5, no. 5 (October 2001): 455–61. http://dx.doi.org/10.1016/s1359-0286(01)00027-4.
Full textMoriarty, K. J. M., C. Margio, and T. Trappenberg. "Object-oriented Monte Carlo simulations." Computers in Physics 9, no. 5 (1995): 540. http://dx.doi.org/10.1063/1.168550.
Full textDissertations / Theses on the topic "Simulations Monte Carlo cinétiques"
Dinter, Nicolas. "Simulations Monte Carlo de cinétiques de réaction gaz/solide et application en catalyse d'hydrotraitement." Paris 6, 2008. http://www.theses.fr/2008PA066579.
Full textBurdeau, Alexis. "Propriétés cinétiques de milieux granulaires vibrés." Paris 6, 2009. http://www.theses.fr/2009PA066249.
Full textGaillard, Philippe. "Modélisation de la croissance de boîtes quantiques sous contrainte élastique." Thesis, Aix-Marseille, 2014. http://www.theses.fr/2014AIXM4303/document.
Full textThe growth and morphology of quantum dots is currently a popular subject as these structures have numerous potential uses, specifically in microelectronics and optoelectronics. Control of the size, shape and distribution of these dots is of critical importance for the uses that are being considered. This thesis presents a theoretical and numerical study of the growth of islands during molecular beam epitaxy. In order to study these dots, we used two models : a nonlinear study of an Asaro-Tiller-Grinfeld like instability, and kinetic Monte Carlo simulations. The first model is appropriate for low misfit systems, and is detailed in the case where misfit is anisotropic (this is the case when depositing GaN on AlGaN). In this case we took into account elastic effects, wetting effects and evaporation. Numerical calculations show faster growth, compared to the isotropic misfit case, and the growth of strongly anisotropic islands.The second model is based on kinetic Monte Carlo simulations that can describe 3D island nucleation. We use these simulations to study systems with high misfits, specifically Ge on Si. Adatom diffusion on a surface is considered and takes into account elastic effects, and surface energy anisotropy, that allows us to stabilize (105) facets. Simulation results show the growth of pyramid-shaped 3D islands, as observed in experiments, and their ripening is interrupted. The results of these simulations are then compared to the case of 2D nucleation, and we find that several of the known 2D properties also apply to 3D islands. Specifically, island density depends on a power law of D/F, the diffusion coefficient divided by the deposition flux
Brenet, Gilles. "Simulations multi-échelles de la cinétique dans les matériaux pour l'énergie : le silicium solaire et les composés d'intercalation pour les batteries lithium-ions." Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAY028/document.
Full textEnergy production and storage is a big challenge in our society. The properties of some materials are mainly due to the defects therein. To improve the materials we use, it is necessary to be able to model them. This work focuses on the study of various defects in both materials, silicon and lithium graphite. Through the multi-scale simulation, we model the defects and their kinetics in order to predict their formation but also aging.The first part focuses on the various methods we used. These methods are divided into three categories, each providing access to a simulation scale. By starting on electronic models with textit{ab initio} simulations, we were able to simulate defects behavior with atomistic simulations using stochastic algorithm. These results then led to macroscopic models, in order to compare our simulations with the experimental results.The second part develops our analysis of point defects in silicon: carbon, oxygen, vacancies and interstitials. These defects gather and form complexes in the irradiated silicon. By analyzing the behavior of these complexes at the atomic scale, we could build a model to simulate the kinetics of multiple defects, and the reaction chain, over several decades. Thus, it is possible to determine the conditions for greater control of the formation and aging of various complexes.The last part presents the analysis of lithium graphite. This component of lithium-ion batteries is made of graphite in which lithium atoms intercalate during charging. The kinetics of the charging predicts the grouping of lithium atoms in islands, which move during charging. The lithium atoms diffusion from the edges of the electrode towards the center of the graphite is also analyzed
Xu, Yu. "Etude de la diffusion du carbone dans le zirconium et la zircone en volume des gaines de combustible usées par simulations multi-échelles." Thesis, Université Paris-Saclay (ComUE), 2015. http://www.theses.fr/2015SACLS199/document.
Full textAs part of the nuclear waste management, hulls and ends of fuel claddings are cut, compacted and put in CSD-C containers (compacted standard waste containers). Currently stored at La Hague, the waste will be stored in deep geological environment. The MA-VL waste contains RN including carbon-14, which comes from the neutron activation of nitrogen-14 and oxygen-17 present in the oxide Zircaloy. The objective of this thesis, which is taken in collaboration with EDF and AREVA, is to answer the question of the carbon-14 behavior in ZrO₂ and Zr metal. This thesis is to perform numerical simulations, using the Theory of Density Functional (DFT) to model the behavior of carbon-14 in the CSD-C. The simulations are performed with multi-scale approach: 1) At atomic scale, optimization of atomic models to represent the different phases of ZrO₂; identification of the insertion sites for the carbon atom in interstitial sites and substitutions of an oxygen or zirconium atom; modeling different minimum energy path for the migration of a carbon atom from one site to another by interstitial and vacancye mechanisms. 2) At macroscopic scale, determination of diffusion coefficients in pure bulk monoclinic ZrO₂ and pure bulk Zr by the Monte Carlo method
Dabli, Djamel. "Utilisation d'un modèle microdosimétrique cinétique (MKM) pour l'interprétation d'irradiations cellulaires dans le cadre de l'hadronthérapie : Application de simulations Monte‐Carlo." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2010. http://tel.archives-ouvertes.fr/tel-00504039.
Full textCoulibaly, Ibrahim. "Contributions à l'analyse numérique des méthodes quasi-Monte Carlo." Phd thesis, Université Joseph Fourier (Grenoble), 1997. http://tel.archives-ouvertes.fr/tel-00004933.
Full textHennad, Ali. "Cinétique des ions dans les gaz moléculaires par simulations de Monte Carlo classique et optimisée : détermination des données de base dans l'air." Toulouse 3, 1996. http://www.theses.fr/1996TOU30184.
Full textArnoult, Mickaël. "Contribution à l’étude des dynamiques moléculaires associées aux cinétiques de relaxation sous contrainte dans les polymères semi-critallins : Etude expérimentale et simulation numérique." Rouen, 2007. http://www.theses.fr/2007ROUES039.
Full textThis work is a contribution to the study of the glass transition and of the relaxation phenomenon in glasses. This study is divided into two axis: a/ an experimental study on a linear polymer (PLLA) with different crystallinity degrees and b/ a Monte Carlo computer simulation using the Bond Fluctuating Length (BFL) model. In the first part, the presence of a crystalline phase in PLLA has been shown to have a weak influence on the amorphous phase molecular mobility. However, for intermediate degrees, this crystalline phase can lead to an amorphous phase separation: one phase far and free from the crystal influence, a second phase, closer to the crystals, interacting with the latters and so presenting a lower molecular mobility. In the second part of the work, the glass transition has been simulated using two interaction potentials: a Lennard-Jones (inter-molecular) and a Bond Length (intra-molecular). However, the choice of the ration between this two potential is of a great importance in regard of the result obtained. Isothermal treatments at temperature lower than the ones of the liquid has enlightened two phenomena: at low temperatures is observed the relaxation of a frozen liquid as at temperatures just under the liquid state, an ordering appears during the annealing time
Ngayam, Happy Raoul. "Prévisions de l’évolution microstructurale sous irradiation d’alliages ferritiques par simulations numériques à l’échelle atomique." Thesis, Lille 1, 2010. http://www.theses.fr/2010LIL10173/document.
Full textIn this work, we have improved a diffusion model for point defects (vacancies and self-interstitials) by introducing hetero-interstitials. The model has been used to simulate by Kinetic Monte Carlo (KMC) the formation of solute rich clusters that are observed experimentally in irradiated ferritic model alloys of type Fe – CuMnNiSiP – C.Electronic structure calculations have been used to characterize the interactions between self-interstitials and all solute atoms, and also carbon. P interacts with vacancies and strongly with self-interstitials. Mn also interacts with self-interstitials to form mixed dumbbells. C, with occupies octahedral sites, interacts strongly with vacancies and less with self-interstitials. Binding and migration energies, as well as others atomic scale properties, obtained by ab initio calculations, have been used as parameters for the KMC code. Firstly, these parameters have been optimized over isochronal annealing experiments, in the literature, of binary alloys that have been electron-irradiated. Isochronal annealing simulations, by reproducing experimental results, have allowed us to link each mechanism to a single evolution of the resistivity during annealing. Moreover, solubility limits of all the elements have been determined by Metropolis Monte Carlo. Secondly, we have simulated the evolution at 300 °C of the microstructure under irradiation of different alloys of increasing complexity: pure Fe, binary alloys, ternaries, quaternaries, and finally complex alloys which compositions are close to those of pressure vessel steels. The results show that the model globally reproduces all the experimental tendencies, what has led us to propose mechanisms to explain the behaviours observed
Books on the topic "Simulations Monte Carlo cinétiques"
Disordered alloys: Diffuse scattering and Monte Carlo simulations. Berlin: Springer Verlag, 1998.
Find full text1944-, Binder K., ed. A guide to Monte Carlo simulations in statistical physics. 3rd ed. Cambridge: Cambridge University Press, 2009.
Find full textDimitrievski, Kristian. Monte Carlo simulations of supported biomembranes and protein folding. Göteborg: Göteborg University, Department of Physics, 2006.
Find full text1944-, Binder K., ed. A guide to Monte Carlo simulations in statistical physics. Cambridge: Cambridge University Press, 2000.
Find full textLandau, David P. A guide to Monte Carlo simulations in statistical physics. 2nd ed. Cambridge, UK: Cambridge University Press, 2005.
Find full textLandau, David P. A guide to Monte Carlo simulations in statistical physics. 3rd ed. Cambridge: Cambridge University Press, 2009.
Find full textLandau, David P. A guide to Monte Carlo simulations in statistical physics. 3rd ed. Cambridge: Cambridge University Press, 2009.
Find full textservice), SpringerLink (Online, ed. An Introduction to Kinetic Monte Carlo Simulations of Surface Reactions. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Find full textJansen, A. P. J. An Introduction to Kinetic Monte Carlo Simulations of Surface Reactions. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29488-4.
Full textGallis, Michael A. On the modeling of thermochemical non-equilibrium in particle simulations. London: Imperial College of Science, Technology & Medicine, Dept. of Aeronautics, 1995.
Find full textBook chapters on the topic "Simulations Monte Carlo cinétiques"
Frenkel, D. "Monte Carlo Simulations." In Computer Modelling of Fluids Polymers and Solids, 83–123. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-2484-0_4.
Full textRaabe, Gabriele. "Monte Carlo Simulations." In Molecular Simulation Studies on Thermophysical Properties, 31–82. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3545-6_3.
Full textDeutsch, Hans-Peter. "Monte Carlo Simulations." In Derivatives and Internal Models, 167–79. London: Palgrave Macmillan UK, 2002. http://dx.doi.org/10.1057/9780230502109_12.
Full textEugeniy, E. Mikhailov. "Monte Carlo Simulations." In Programming with MATLAB for Scientists, 149–60. Boca Raton, FL : CRC Press, Taylor & Francis Group, [2017]: CRC Press, 2018. http://dx.doi.org/10.1201/9781351228183-12.
Full textDeutsch, Hans-Peter. "Monte Carlo Simulations." In Derivatives and Internal Models, 169–81. London: Palgrave Macmillan UK, 2004. http://dx.doi.org/10.1057/9781403946089_12.
Full textDeutsch, Hans-Peter. "Monte Carlo Simulations." In Derivatives and Internal Models, 184–98. London: Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230234758_11.
Full textEarl, David J., and Michael W. Deem. "Monte Carlo Simulations." In Methods in Molecular Biology, 25–36. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-177-2_2.
Full textGupta, Abhishek K. "Monte Carlo Simulations." In Numerical Methods using MATLAB, 69–80. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0154-1_6.
Full textKurzke, Joachim, and Ian Halliwell. "Monte Carlo Simulations." In Propulsion and Power, 723–38. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75979-1_22.
Full textDeutsch, Hans-Peter, and Mark W. Beinker. "Monte Carlo Simulations." In Derivatives and Internal Models, 207–25. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22899-6_11.
Full textConference papers on the topic "Simulations Monte Carlo cinétiques"
FRENKEL, DAAN. "Monte Carlo simulations." In Proceedings of the International School of Physics. WORLD SCIENTIFIC, 1998. http://dx.doi.org/10.1142/9789812839664_0004.
Full textTroyer, Matthias, Philipp Werner, Adolfo Avella, and Ferdinando Mancini. "Quantum Monte Carlo Simulations." In LECTURES ON THE PHYSICS OF STRONGLY CORRELATED SYSTEMS XIII: Thirteenth Training Course in the Physics of Strongly Correlated Systems. AIP, 2009. http://dx.doi.org/10.1063/1.3225490.
Full textSahin, Mesut, and David L. Wilson. "Monte Carlo simulations of image stacking." In Medical Imaging 1993, edited by Murray H. Loew. SPIE, 1993. http://dx.doi.org/10.1117/12.154568.
Full textFORTUNATO, S. "MONTE CARLO SIMULATIONS OF OPINION DYNAMICS." In Proceedings of the 31st Workshop of the International School of Solid State Physics. WORLD SCIENTIFIC, 2005. http://dx.doi.org/10.1142/9789812701558_0034.
Full text"Monte-Carlo Simulations for Building Appraisal." In 2005 European Real Estate Society conference in association with the International Real Estate Society: ERES Conference 2005. ERES, 2005. http://dx.doi.org/10.15396/eres2005_116.
Full textVirotta, Francesco, and Stefan Schaefer. "Autocorrelations in Hybrid Monte Carlo Simulations." In The XXVIII International Symposium on Lattice Field Theory. Trieste, Italy: Sissa Medialab, 2011. http://dx.doi.org/10.22323/1.105.0042.
Full textPalmer, Robert B., Juan C. Gallardo, Richard C. Fernow, Yaǧmur Torun, David Neuffer, and David Winn. "Monte Carlo simulations of muon production." In Physics potential and development of μ. AIP, 1996. http://dx.doi.org/10.1063/1.49336.
Full textLoudos, George K., Carlos Granja, Claude Leroy, and Ivan Stekl. "Monte Carlo simulations in Nuclear Medicine." In Nuclear Physics Medthods and Accelerators in Biology and Medicine. AIP, 2007. http://dx.doi.org/10.1063/1.2825768.
Full textOden, M., A. Krasa, M. Majerle, O. Svoboda, V. Wagner, Carlos Granja, Claude Leroy, and Ivan Stekl. "Monte-Carlo Simulations: FLUKA vs. MCNPX." In Nuclear Physics Medthods and Accelerators in Biology and Medicine. AIP, 2007. http://dx.doi.org/10.1063/1.2825786.
Full textCaffarel, M., and O. Hess. "Computing Response Properties with Quantum Monte Carlo." In Advances in biomolecular simulations. AIP, 1991. http://dx.doi.org/10.1063/1.41339.
Full textReports on the topic "Simulations Monte Carlo cinétiques"
Blue, James L., Isabel Beichl, and Francis Sullivan. Faster BKL Monte Carlo simulations. Gaithersburg, MD: National Institute of Standards and Technology, 1994. http://dx.doi.org/10.6028/nist.ir.5489.
Full textToor, A., and A. A. Marchetti. Monte Carlo Simulations for Mine Detection. Office of Scientific and Technical Information (OSTI), March 2000. http://dx.doi.org/10.2172/792767.
Full textPalmer, R. B., J. C. Gallardo, R. C. Fernow, Y. Torun, D. Neuffer, and D. Winn. Monte Carlo simulations of muon production. Office of Scientific and Technical Information (OSTI), March 1995. http://dx.doi.org/10.2172/46704.
Full textRambo, P. W., and J. Denavit. Monte Carlo simulations of solid-state photoswitches. Office of Scientific and Technical Information (OSTI), September 1995. http://dx.doi.org/10.2172/123236.
Full textChason, E., and B. K. Kellerman. Monte Carlo simulations of ion-enhanced island coarsening. Office of Scientific and Technical Information (OSTI), August 1996. http://dx.doi.org/10.2172/378876.
Full textAguayo Navarrete, Estanislao, John L. Orrell, and Richard T. Kouzes. Monte Carlo Simulations of Cosmic Rays Hadronic Interactions. Office of Scientific and Technical Information (OSTI), April 2011. http://dx.doi.org/10.2172/1022429.
Full textKroll, D. M., and G. Gompper. The Conformation of Fluid Membranes: Monte Carlo Simulations. Fort Belvoir, VA: Defense Technical Information Center, February 1992. http://dx.doi.org/10.21236/ada271695.
Full textBurns, Kimberly A. Monte Carlo Simulations for Homeland Security Using Anthropomorphic Phantoms. Office of Scientific and Technical Information (OSTI), January 2008. http://dx.doi.org/10.2172/1025694.
Full textALAM, TODD M. Monte Carlo simulations of phosphate polyhedron connectivity in glasses. Office of Scientific and Technical Information (OSTI), January 2000. http://dx.doi.org/10.2172/750883.
Full textMarchetti, A. A. ,. LLNL. New Monte Carlo simulations of the LLNL pulsed-sphere experiments. Office of Scientific and Technical Information (OSTI), July 1998. http://dx.doi.org/10.2172/304515.
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