Literatura académica sobre el tema "Kinetic Monte Carlo Methods"
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Artículos de revistas sobre el tema "Kinetic Monte Carlo Methods"
Srivastava, Argala, K. P. Singh y S. B. Degweker. "Monte Carlo Methods for Reactor Kinetic Simulations". Nuclear Science and Engineering 189, n.º 2 (14 de noviembre de 2017): 152–70. http://dx.doi.org/10.1080/00295639.2017.1388091.
Texto completoHerty, M., A. Klar y L. Pareschi. "General Kinetic Models for Vehicular Traffic Flows and Monte-Carlo Methods". Computational Methods in Applied Mathematics 5, n.º 2 (2005): 155–69. http://dx.doi.org/10.2478/cmam-2005-0008.
Texto completoXiaopeng Xu, Xiaopeng Xu, Chuancai Liu Xiaopeng Xu, Hongji Yang Chuancai Liu y Xiaochun Zhang Hongji Yang. "A Multi-Trajectory Monte Carlo Sampler". 網際網路技術學刊 23, n.º 5 (septiembre de 2022): 1117–28. http://dx.doi.org/10.53106/160792642022092305020.
Texto completoTakano, Hiroshi. "On Monte Carlo Methods for the Kinetic Ising Model". Journal of the Physical Society of Japan 62, n.º 1 (15 de enero de 1993): 370–71. http://dx.doi.org/10.1143/jpsj.62.370.
Texto completoKhrushcheva, O., E. E. Zhurkin, L. Malerba, C. S. Becquart, C. Domain y M. Hou. "Copper precipitation in iron: a comparison between metropolis Monte Carlo and lattice kinetic Monte Carlo methods". Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 202 (abril de 2003): 68–75. http://dx.doi.org/10.1016/s0168-583x(02)01830-x.
Texto completoKozubski, Rafal, Graeme E. Murch y Irina V. Belova. "Vacancy-Mediated Diffusion and Diffusion-Controlled Processes in Ordered Binary Intermetallics by Kinetic Monte Carlo Simulations". Diffusion Foundations 29 (abril de 2021): 95–115. http://dx.doi.org/10.4028/www.scientific.net/df.29.95.
Texto completoKaiser, Waldemar, Manuel Gößwein y Alessio Gagliardi. "Acceleration scheme for particle transport in kinetic Monte Carlo methods". Journal of Chemical Physics 152, n.º 17 (7 de mayo de 2020): 174106. http://dx.doi.org/10.1063/5.0002289.
Texto completoCarrillo, José Antonio y Mattia Zanella. "Monte Carlo gPC Methods for Diffusive Kinetic Flocking Models with Uncertainties". Vietnam Journal of Mathematics 47, n.º 4 (5 de noviembre de 2019): 931–54. http://dx.doi.org/10.1007/s10013-019-00374-2.
Texto completoKoblents, Eugenia, Inés P. Mariño y Joaquín Míguez. "Bayesian Computation Methods for Inference in Stochastic Kinetic Models". Complexity 2019 (20 de enero de 2019): 1–15. http://dx.doi.org/10.1155/2019/7160934.
Texto completoHehr, Brian D. "Analysis of Radiation Effects in Silicon Using Kinetic Monte Carlo Methods". IEEE Transactions on Nuclear Science 61, n.º 6 (diciembre de 2014): 2847–54. http://dx.doi.org/10.1109/tns.2014.2368075.
Texto completoTesis sobre el tema "Kinetic Monte Carlo Methods"
Mandreoli, Lorenzo. "Density based Kinetic Monte Carlo Methods". [S.l.] : [s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=975329111.
Texto completoHöök, Lars Josef. "Variance reduction methods for numerical solution of plasma kinetic diffusion". Licentiate thesis, KTH, Fusionsplasmafysik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-91332.
Texto completoQC 20120314
Herron, Adam David. "Mesoscale Modeling of Shape Memory Alloys by Kinetic Monte Carlo–Finite Element Analysis Methods". BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/8261.
Texto completoSchmidt, Daniel. "Kinetic Monte Carlo Methods for Computing First Capture Time Distributions in Models of Diffusive Absorption". Scholarship @ Claremont, 2017. https://scholarship.claremont.edu/hmc_theses/97.
Texto completoGong, Min. "A study of surface growth mechanism by kinetic Monte-Carlo simulation". Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B37636194.
Texto completoGong, Min y 鞏旻. "A study of surface growth mechanism by kinetic Monte-Carlo simulation". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B37636194.
Texto completoAlexander, Kathleen Carmody. "An off-lattice kinetic Monte Carlo method for the investigation of grain boundary kinetic processes". Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/108218.
Texto completo"September 2016." Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 155-171).
Kinetic Monte Carlo (Kc) methods have the potential to extend the accessible timescales of off-lattice atomistic simulations beyond the limits of molecular dynamics by making use of transition state theory and parallelization. However, it is a challenge to identify a complete catalog of events accessible to an off-lattice system in order to accurately calculate the residence time for Kc. Possible approaches to some of the key steps needed to address this problem are developed in this thesis. After validating these methods in the study of vacancy diffusion, we implemented our off-lattice Kc method to study the kinetic behavior of the [Sigma]5 (210) grain boundary (GB) in copper. We found that the activation energy associated with intrinsic diffusion at this GB is between the activation energies of interstitial diffusion and vacancy diffusion. We have also measured GB mobility in this system and found the activation energy of GB migration to be similar to that of bulk diffusion. For comparison, we have performed a molecular dynamics study of this target GB and obtained diffusivity and mobility estimates that are sufficiently similar to our Kc results at high temperatures. At low temperatures, the molecular dynamics simulations did not yield meaningful predictions. The results of this case study indicate that the off-lattice Kc method developed herein may provide a means to study GB kinetic properties under conditions and timescales that were previously inaccessible. Towards the end of developing predictive relationships to describe GB kinetic properties, we have begun to assess whether the normalized ground state residence time of a GB is a good predictor of kinetic behavior by analyzing several low-CSL GBs. We see a clear relationship between normalized ground state residence time and kinetic properties for the GBs considered so far. A more thorough investigation will be required to establish whether or not these preliminary findings indicate a more general relationship.
by Kathleen Carmody Alexander.
Ph. D.
Hay, Aaron M. "Applying massively parallel kinetic Monte Carlo methods to simulate grain growth and sintering in powdered metals". Thesis, Monterey, California. Naval Postgraduate School, 2011. http://hdl.handle.net/10945/5583.
Texto completo50 nm) can be used to bond materials at dramatically lower temperatures and pressures while maintaining the mechanical properties of nanostructured materials. Despite these promising results, the grain growth and sintering mechanisms of nanostructures are not fully understood. Simulations performed using KMC algorithms can be used to model nanoparticle grain growth and sintering. Sandia National Laboratories' new, massively-parallel, Stochastic Parallel Particle Kinetic Simulator (SPPARKS) code is capable of simulating large-scale problems of grain growth and sintering from the nanoscale to the microscale. This thesis focused on setting up SPPARKS on the Naval Postgraduate School's high performance computing resources. The performance of SPPARKS was assessed for large-scale simulations of grain growth and sintering. Using SPPARKS, the ability to perform coupled grain growth and sintering was demonstrated while controlling variables such as temperature, porosity, and grain size. The results demonstrate the importance of the spatial distribution of porosity on the nanostructure evolution during grain growth and sintering.
Shi, Feng. "Nucleation and growth in materials and on surfaces : kinetic Monte Carlo simulations and rate equation theory /". Connect to full text in OhioLINK ETD Center, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1216839589.
Texto completoMorris, Aaron Benjamin. "Investigation of a discrete velocity Monte Carlo Boltzmann equation". Thesis, [Austin, Tex. : University of Texas, 2009. http://hdl.handle.net/2152/ETD-UT-2009-05-127.
Texto completoLibros sobre el tema "Kinetic Monte Carlo Methods"
Center, Ames Research, ed. Particle kinetic simulation of high altitude hypervelocity flight. [Moffett Field, Calif.]: NASA National Aeronautics and Space Administration, Ames Research Center, 1994.
Buscar texto completoL, Haas Brian y United States. National Aeronautics and Space Administration., eds. Particle kinetic simulation of high altitude hypervelocity flight. [Washington, DC: National Aeronautics and Space Administration, 1994.
Buscar texto completoDaw, Murray S. Atomic-scale modeling of the structure and dynamics of dislocations in complex alloys at high temperatures. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2003.
Buscar texto completoDaw, Murray S. Atomic-scale modeling of the structure and dynamics of dislocations in complex alloys at high temperatures. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2003.
Buscar texto completoDaw, Murray S. Atomic-scale modeling of the structure and dynamics of dislocations in complex alloys at high temperatures. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2003.
Buscar texto completoL, Haas Brian y United States. National Aeronautics and Space Administration., eds. Particle kinetic simulation of high altitude hypervelocity flight. [Washington, DC: National Aeronautics and Space Administration, 1994.
Buscar texto completoKalos, Malvin H. Monte Carlo methods. New York: J. Wiley & Sons, 1986.
Buscar texto completoChowdhury, Sujaul. Monte Carlo Methods. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-02429-0.
Texto completoBarbu, Adrian y Song-Chun Zhu. Monte Carlo Methods. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-2971-5.
Texto completoKalos, Malvin H. y Paula A. Whitlock, eds. Monte Carlo Methods. Weinheim, Germany: Wiley-VCH Verlag GmbH, 1986. http://dx.doi.org/10.1002/9783527617395.
Texto completoCapítulos de libros sobre el tema "Kinetic Monte Carlo Methods"
Bhushan, Bharat y Manuel L. B. Palacio. "Kinetic Monte Carlo Method". En Encyclopedia of Nanotechnology, 1179. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-90-481-9751-4_100332.
Texto completoTrochet, Mickaël, Normand Mousseau, Laurent Karim Béland y Graeme Henkelman. "Off-Lattice Kinetic Monte Carlo Methods". En Handbook of Materials Modeling, 715–43. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-44677-6_29.
Texto completoTrochet, Mickaël, Normand Mousseau, Laurent Karim Béland y Graeme Henkelman. "Off-Lattice Kinetic Monte Carlo Methods". En Handbook of Materials Modeling, 1–29. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-42913-7_29-1.
Texto completoTrochet, Mickaël, Normand Mousseau, Laurent Karim Béland y Graeme Henkelman. "Off-Lattice Kinetic Monte Carlo Methods". En Handbook of Materials Modeling, 1–29. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-42913-7_29-2.
Texto completoRjasanow, Sergej. "Monte-Carlo methods for the Boltzmann equation". En Modeling and Computational Methods for Kinetic Equations, 81–115. Boston, MA: Birkhäuser Boston, 2004. http://dx.doi.org/10.1007/978-0-8176-8200-2_3.
Texto completoBinder, K. y M. H. Kalos. "Monte Carlo Studies of Relaxation Phenomena: Kinetics of Phase Changes and Critical Slowing Down". En Monte Carlo Methods in Statistical Physics, 225–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-82803-4_6.
Texto completoGurov, Todor V. y Ivan T. Dimov. "A Parallel Monte Carlo Method for Electron Quantum Kinetic Equation". En Large-Scale Scientific Computing, 153–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24588-9_16.
Texto completoLavorel, J. "A Monte Carlo method for the simulation of kinetic models". En Current topics in photosynthesis, 271–81. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4412-1_25.
Texto completoKehr, K. W. y K. Binder. "Simulation of Diffusion in Lattice Gases and Related Kinetic Phenomena". En Applications of the Monte Carlo Method in Statistical Physics, 181–221. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-51703-7_6.
Texto completoMartin, Georges y Frédéric Soisson. "Kinetic Monte Carlo Method to Model Diffusion Controlled Phase Transformations in the Solid State". En Handbook of Materials Modeling, 2223–48. Dordrecht: Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-3286-2_115.
Texto completoActas de conferencias sobre el tema "Kinetic Monte Carlo Methods"
Yang, Xue y Wasiu O. Oyeniyi. "Kinetic Monte Carlo Simulation of Hydrogen Diffusion in Tungsten". En 2016 24th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/icone24-60352.
Texto completoHua, L., O. Hovorka, R. M. Ferguson, R. W. Chantrell y K. M. Krishnan. "MPI tracer magnetization simulated using a Kinetic Monte Carlo method". En 2013 International Workshop on Magnetic Particle Imaging (IWMPI). IEEE, 2013. http://dx.doi.org/10.1109/iwmpi.2013.6528374.
Texto completoWang, Yan. "Reliable Kinetic Monte Carlo Simulation Based on Random Set Sampling". En ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48575.
Texto completo"Kinetic Equation Method and Monte Carlo Method for Charge Carriers Dynamics Description in Diamond". En International Conference on Photonics, Optics and Laser Technology. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004809801220126.
Texto completoJo, YuGwon, Bumhee Cho y Nam Zin Cho. "Nuclear reactor transient analysis via a quasi-static kinetics Monte Carlo method". En INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2015 (ICCMSE 2015). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4938774.
Texto completoAlhat, Devendra, Vernet Lasrado y Yan Wang. "A Review of Recent Phase Transition Simulation Methods: Saddle Point Search". En ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49411.
Texto completoLandon, Colin y Nicolas G. Hadjiconstantinou. "Low-Variance Monte Carlo Simulation of Thermal Transport in Graphene". En ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-87957.
Texto completoShang, Xiaotong, Guanlin Shi y Kan Wang. "One Step Method for Multigroup Adjoint Neutron Flux Through Continuous Energy Monte Carlo Calculation". En 2018 26th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/icone26-82185.
Texto completoQiu, Yishu, Manuele Aufiero, Kan Wang y Massimiliano Fratoni. "Generalized Sensitivity Analysis With Continuous-Energy Monte Carlo Code RMC". En 2016 24th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/icone24-60473.
Texto completoCai, Linlin, Yudi Zhao, Wangyong Chen, Peng Huang, Xiaoyan Liu y Xing Zhang. "Self-heating aware EM Reliability Prediction of Advanced CMOS Technology by Kinetic Monte Carlo Method". En 2019 IEEE 26th International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA). IEEE, 2019. http://dx.doi.org/10.1109/ipfa47161.2019.8984791.
Texto completoInformes sobre el tema "Kinetic Monte Carlo Methods"
Hehr, Brian Douglas. LDRD Report : Analysis of Defect Clustering in Semiconductors using Kinetic Monte Carlo Methods. Office of Scientific and Technical Information (OSTI), enero de 2014. http://dx.doi.org/10.2172/1465520.
Texto completoVogel, Thomas. Monte Carlo Methods. Office of Scientific and Technical Information (OSTI), julio de 2014. http://dx.doi.org/10.2172/1148317.
Texto completoHungerford, Aimee L. (U) Introduction to Monte Carlo Methods. Office of Scientific and Technical Information (OSTI), marzo de 2017. http://dx.doi.org/10.2172/1351179.
Texto completoBulatov, V., T. Oppelstrup y M. Athenes. A new class of accelerated kinetic Monte Carlo algorithms. Office of Scientific and Technical Information (OSTI), noviembre de 2011. http://dx.doi.org/10.2172/1033740.
Texto completoBrown, Forrest B. Advanced Computational Methods for Monte Carlo Calculations. Office of Scientific and Technical Information (OSTI), enero de 2018. http://dx.doi.org/10.2172/1417155.
Texto completoCaflisch, Russel E. Rarefied Gas Dynamics and Monte Carlo Methods. Fort Belvoir, VA: Defense Technical Information Center, mayo de 1995. http://dx.doi.org/10.21236/ada295375.
Texto completoCreutz, M. Lattice gauge theory and Monte Carlo methods. Office of Scientific and Technical Information (OSTI), noviembre de 1988. http://dx.doi.org/10.2172/6530895.
Texto completoWirth, B. D., M. J. Caturla y Diaz de la Rubia, T. Modeling and Computer Simulation: Molecular Dynamics and Kinetic Monte Carlo. Office of Scientific and Technical Information (OSTI), octubre de 2000. http://dx.doi.org/10.2172/792741.
Texto completoJerome Spanier. Third International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing (MCQMC98). Office of Scientific and Technical Information (OSTI), marzo de 1999. http://dx.doi.org/10.2172/761782.
Texto completoOwen, Richard Kent. Quantum Monte Carlo methods and lithium cluster properties. Office of Scientific and Technical Information (OSTI), diciembre de 1990. http://dx.doi.org/10.2172/10180548.
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