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1

Haghighat, Alireza. Monte Carlo Methods for Particle Transport. Second edition. | Boca Raton : CRC Press, 2021.: CRC Press, 2020. http://dx.doi.org/10.1201/9780429198397.

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2

Kovanen, M. A. Monte Carlo study of charged particle behaviour in tokamak plasmas. Lappeenranta: Lappeenranta University of Technology, 1992.

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3

László, Koblinger, ed. Monte Carlo particle transport methods: Neutron and photon calculations. Boca Raton: CRC Press, 1991.

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4

Gallis, Michael A. On the modeling of thermochemical non-equilibrium in particle simulations. London: Imperial College of Science, Technology & Medicine, Dept. of Aeronautics, 1995.

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5

Kling, Andreas, Fernando J. C. Baräo, Masayuki Nakagawa, Luis Távora, and Pedro Vaz, eds. Advanced Monte Carlo for Radiation Physics, Particle Transport Simulation and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-18211-2.

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6

Querlioz, Damien. The Wigner Monte-Carlo method for nanoelectronic devices: Particle description of quantum transport and decoherence. London: ISTE, 2010.

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7

Philippe, Dollfus, ed. The Wigner Monte-Carlo method for nanoelectronic devices: Particle description of quantum transport and decoherence. London: ISTE, 2010.

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8

Dapor, Maurizio. Electron-Beam Interactions with Solids: Application of the Monte Carlo Method to Electron Scattering Problems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003.

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9

Rubilar, R. Comparison of the TEP method for neutral particle transport in the plasma edge with Monte Carlo. Atlanta, Ga: Fusion Research Center, Georgia Institute of Technology, 2000.

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10

Satō, Akira. Introduction to practice of molecular simulation: Molecular dynamics, Monte Carlo, Brownian dynamics, Lattice Boltzmann, dissipative particle dynamics. Amsterdam: Elsevier, 2011.

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11

1968-, Keller Alexander, Heinrich Stefan, and Niederreiter Harald 1944-, eds. Monte Carlo and Quasi-Monte Carlo methods 2006. Berlin: Springer, 2008.

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12

Peter, Dragovitsch, Linn Stephan Landers 1949-, and Burbank Mimi, eds. MC 93, International Conference on Monte Carlo Simulation in High Energy and Nuclear Physics, Tallahassee, Florida, USA, 22-26 February 1993. Singapore: World Scientific, 1994.

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13

Albers, John. Results of the Monte Carlo calculation of one-and two-dimensional distributions of particles and damage: Ion implanteddopants in silicon. Washington, D.C: National Bureau of Standards, 1987.

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14

Albers, John. Results of the Monte Carlo calculation of one- and two-dimensional distributions of particles and damage: Ion implanted dopants in silicon. Gaithersburg, MD: U.S. Dept. of Commerce, National Bureau of Standards, 1987.

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15

Hoogland, Jiri Kamiel. Radiative corrections, quasi-Monte Carlo methods and discrepancy: Computational aspects of high energy phenomenology. [Amsterdam: Universiteit van Amsterdam, 1996.

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16

Bilanovic, Z. Neutron-photon energy deposition in CANDU reactor fuel channels: A comparison of modelling techniques using ANISN and MCNP computer codes. Chalk River, Ont: System Chemistry and Corrosion Branch, Chalk River Laboratories, 1994.

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17

Andrea, Roncoroni, ed. Implementing models in quantitative finance: Methods and cases. Berlin: Springer, 2008.

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18

Monte Carlo Particle Transport Methods. Taylor & Francis Group, 2017.

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19

Haghighat, Alireza. Monte Carlo Methods for Particle Transport. Taylor & Francis Group, 2020.

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20

Monte Carlo Methods for Particle Transport. Taylor & Francis Group, 2014.

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21

Monte Carlo Methods for Particle Transport. Taylor & Francis Group, 2020.

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22

Haghighat, Alireza. Monte Carlo Methods for Particle Transport. Taylor & Francis Group, 2020.

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23

Haghighat, Alireza. Monte Carlo Methods for Particle Transport. Taylor & Francis Group, 2020.

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24

Haghighat, Alireza. Monte Carlo Methods for Particle Transport. Taylor & Francis Group, 2020.

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25

Haghighat, Alireza. Monte Carlo Methods for Particle Transport. CRC Press, 2016. http://dx.doi.org/10.1201/b17934.

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26

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.

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27

L, Haas Brian, and United States. National Aeronautics and Space Administration., eds. Particle kinetic simulation of high altitude hypervelocity flight. [Washington, DC: National Aeronautics and Space Administration, 1994.

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28

Lux, Iván, and László Koblinger. Monte Carlo Particle Transport Methods: Neutron and Photon Calculations. CRC Press, 2018. http://dx.doi.org/10.1201/9781351074834.

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29

(Editor), Andreas Kling, Fernando J.C. Barao (Editor), Masayuki Nakagawa (Editor), Luis Tavora (Editor), and Pedro Vaz (Editor), eds. Advanced Monte Carlo for Radiation Physics, Particle Transport Simulation and Applications. Springer, 2001.

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30

Kling, Andreas, Fernando J. C. Barao, Masayuki Nakagawa, Luis Tavora, and Pedro Vaz. Advanced Monte Carlo for Radiation Physics, Particle Transport Simulation and Applications: Proceedings of the Monte Carlo 2000 Conference, Lisbon, 23–26 October 2000. Springer, 2014.

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31

E, Stern Boris, and United States. National Aeronautics and Space Administration., eds. A large-particle Monte Carlo code for simulating non-linear high-energy processes near compact objects. [Washington, DC: National Aeronautics and Space Administration, 1995.

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32

Research Institute for Advanced Computer Science (U.S.), ed. A deterministic particle method for one-dimensional reaction-diffusion equations. Moffett Field, CA: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1995.

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33

Querlioz, Damien, and Philippe Dollfus. Wigner Monte Carlo Method for Nanoelectronic Devices: A Particle Description of Quantum Transport and Decoherence. Wiley & Sons, Incorporated, John, 2013.

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34

Querlioz, Damien, and Philippe Dollfus. Wigner Monte Carlo Method for Nanoelectronic Devices: A Particle Description of Quantum Transport and Decoherence. Wiley & Sons, Incorporated, John, 2013.

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35

Querlioz, Damien, and Philippe Dollfus. Wigner Monte Carlo Method for Nanoelectronic Devices: A Particle Description of Quantum Transport and Decoherence. Wiley & Sons, Incorporated, John, 2013.

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36

Dapor, Maurizio. Electron-Beam Interactions with Solids: Application Of The Monte Carlo Method To Electron Scattering Problems. Springer, 2010.

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37

E, Stern Boris, and United States. National Aeronautics and Space Administration., eds. A large-particle Monte Carlo code for simulating non-linear high-energy processes near compact objects. [Washington, DC: National Aeronautics and Space Administration, 1995.

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38

A large-particle Monte Carlo code for simulating non-linear high-energy processes near compact objects. [Washington, DC: National Aeronautics and Space Administration, 1995.

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39

E, Stern Boris, and United States. National Aeronautics and Space Administration., eds. A large-particle Monte Carlo code for simulating non-linear high-energy processes near compact objects. [Washington, DC: National Aeronautics and Space Administration, 1995.

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40

Institute for Computer Applications in Science and Engineering., ed. Some developments of the equilibrium particle simulation method for the direct simulation of compressible flows. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1995.

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41

Satoh, Akira. Introduction to Practice of Molecular Simulation: Molecular Dynamics, Monte Carlo, Brownian Dynamics, Lattice Boltzmann and Dissipative Particle Dynamics. Elsevier, 2010.

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42

Particle kinetic simulation of high altitude hypervelocity flight. [Moffett Field, Calif.]: NASA National Aeronautics and Space Administration, Ames Research Center, 1994.

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43

L, Haas Brian, and United States. National Aeronautics and Space Administration., eds. Particle kinetic simulation of high altitude hypervelocity flight. [Washington, DC: National Aeronautics and Space Administration, 1994.

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44

United States. National Aeronautics and Space Administration., ed. Particle/continuum hybrid simulation in a parallel computing environment: Final report for the period August 1, 1994 to September 30, 1996 ... grant no. NCC2-5072. Stanford, Calif: Department of Aeronautics and Astronautics, Stanford University, 1991.

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45

Determination of solar flare accelerated ion angular distributions from SMM gamma-ray and neutron measurements and Determination of the ³He/H ratio in the solar photosphere from SMM gamma-ray measurements: Final technical report, NASA grant NAG 5-945 (07/01/87 to 08/31/89). [Washington, DC: National Aeronautics and Space Administration, 1990.

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46

United States. National Aeronautics and Space Administration., ed. Determination of solar flare accelerated ion angular distributions from SMM gamma-ray and neutron measurements and Determination of the ³He/H ratio in the solar photosphere from SMM gamma-ray measurements: Final technical report, NASA grant NAG 5-945 (07/01/87 to 08/31/89). [Washington, DC: National Aeronautics and Space Administration, 1990.

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47

Geweke, John, Gary Koop, and Herman Van Dijk, eds. The Oxford Handbook of Bayesian Econometrics. Oxford University Press, 2011. http://dx.doi.org/10.1093/oxfordhb/9780199559084.001.0001.

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Bayesian econometric methods have enjoyed an increase in popularity in recent years. Econometricians, empirical economists, and policymakers are increasingly making use of Bayesian methods. The Oxford Handbook of Bayesian Econometrics is a single source about Bayesian methods in specialized fields. It contains articles by leading Bayesians on the latest developments in their specific fields of expertise. The volume provides broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing. It reviews the state of the art in Bayesian econometric methodology, with articles on posterior simulation and Markov chain Monte Carlo methods, Bayesian nonparametric techniques, and the specialized tools used by Bayesian time series econometricians such as state space models and particle filtering. It also includes articles on Bayesian principles and methodology.
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48

Boudreau, Joseph F., and Eric S. Swanson. Quantum field theory. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0024.

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Markov chain Monte Carlo techniques are developed to compute properties of a variety of quantum field theories. The method is introduced with a simple scalar field theory and used to evaluate the particle spectrum and phase diagram for parity symmetry breaking. The technique of micorcanonical updating is introduced to increase efficiency. The important topic of gauge theory is then introduced via the gauged Z2 model. Development of the gauge theory formalism continues with Abelian gauge theory in two dimensions. The interaction between static charges is computed and compared to the exact result. The string tension in nonableian SU(2) gauge theory is explored with the aid of the renormalization group, which gives an entrée to a discussion of the Higgs mechanism. Finally, the formalism for including fermions is briefly reviewed.
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49

Succi, Sauro. Numerical Methods for the Kinetic Theory of Fluids. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199592357.003.0010.

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This chapter provides a bird’s eye view of the main numerical particle methods used in the kinetic theory of fluids, the main purpose being of locating Lattice Boltzmann in the broader context of computational kinetic theory. The leading numerical methods for dense and rarified fluids are Molecular Dynamics (MD) and Direct Simulation Monte Carlo (DSMC), respectively. These methods date of the mid 50s and 60s, respectively, and, ever since, they have undergone a series of impressive developments and refinements which have turned them in major tools of investigation, discovery and design. However, they are both very demanding on computational grounds, which motivates a ceaseless demand for new and improved variants aimed at enhancing their computational efficiency without losing physical fidelity and vice versa, enhance their physical fidelity without compromising computational viability.
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50

Morawetz, Klaus. Nonlocal Collision Integral. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198797241.003.0013.

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The kinetic equation with the nonlocal shifts is presented as the final result on the way to derive the kinetic equation with nonlocal corrections. The exclusive dependence of the nonlocal and non-instant corrections on the scattering phase shift confirms the results from the theory of gases. With the approximation on the level of the Brueckner reaction matrix, the corresponding non-instant and nonlocal scattering integral in parallel with the classical Enskog’s equation, can be treated with Monte-Carlo simulation techniques. Neglecting the shifts, the Landau theory of quasiparticle transport appears. In this sense the presented kinetic theory unifies both approaches. An intrinsic symmetry is found from the optical theorem which allows for representing the collision integral equivalently either in particle-hole symmetric or space-time symmetric form.
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