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Diffusion Monte Carlo
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11	936 OPTICS LETTERS / Vol. 31, No. 7 / April 1, 2006 Noninvasive measurement of scattering anisotropy in turbid materials by nonnormal incident Add to Reading List Source URL: graphics.ucsd.edu Language: English - Date: 2006-03-23 17:18:29 Electromagnetic radiation Light Radiative transfer equation and diffusion theory for photon transport in biological tissue Scattering Reflectivity Monte Carlo method Monte Carlo method for photon transport Light scattering Physics Science Optics
12	The Markov Chain Monte Carlo Revolution Persi Diaconis∗ Abstract The use of simulation for high dimensional intractable computations has revolutionized applied mathematics. Designing, improving and understanding the ne Add to Reading List Source URL: statweb.stanford.edu Language: English - Date: 2008-08-22 18:55:55 Symbol Metropolis–Hastings algorithm Normal distribution Itō diffusion Statistics Markov chain Permutation
13	J Low Temp Phys: 608–614 DOIs10909y Instability of Vacancy Clusters in Solid 4 He Y. Lutsyshyn · C. Cazorla · J. Boronat Add to Reading List Source URL: www.claudiocazorla.com Language: English - Date: 2010-02-09 17:30:06 Condensed matter physics Phases of matter Quantum chemistry Supersolid Crystallographic defects Superfluid Helium Quantum Monte Carlo Diffusion Monte Carlo Physics Matter Chemistry
14	Diffusion-Limited Aggregation Physics 3300, Weber State University, Spring Semester, 2012 In this project you will again use Monte Carlo methods to study a physical system. The system is extremely simple and you don’t Add to Reading List Source URL: physics.weber.edu Language: English - Date: 2012-03-05 11:53:49 Mathematics Statistical mechanics Computational physics Computer art Diffusion-limited aggregation Random walk Monte Carlo method Brownian motion Spreadsheet Statistics Stochastic processes Probability and statistics
15	PHYSICAL REVIEW B 90, Quantum phase transition with a simple variational ansatz Y. Lutsyshyn,1,* G. E. Astrakharchik,2,† C. Cazorla,3 and J. Boronat2,† 1 Add to Reading List Source URL: www.claudiocazorla.com Language: English - Date: 2014-12-11 11:21:16 Quantum Monte Carlo Condensed matter physics Quantum phases Phase transition Diffusion Monte Carlo Quantum phase transition Quantum mechanics Density functional theory Crystal Physics Quantum chemistry Statistical mechanics
16	Series expansions of Brownian motion and the unscented particle filter October 15, 2013 Abstract The discrete-time filtering problem for nonlinear diffusion processes is computationally intractable in general. However, i Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2013-11-26 10:22:33 Control theory Monte Carlo methods Stochastic processes Robot control Particle filter Unscented transform Normal distribution Brownian motion Importance sampling Statistics Probability and statistics Estimation theory
17	Microsoft Word - F-BRIDGE - D225 - revision 0 - Application of mesoscale approaches to diffusion processes - validated.doc Add to Reading List Source URL: www.f-bridge.eu Language: English - Date: 2013-04-23 06:24:42 Matter Crystallographic defects Physics Statistical mechanics Nucleation Krypton Kinetic Monte Carlo Interstitial defect Xenon Chemistry Chemical elements Noble gases
18	Monte Carlo Modelling of Exciton Diffusion in Polyfluorenes P. K. Watkins∗ , A. B. Walker∗ , D. Beljonne† and E. Hennebicq† ∗ † Add to Reading List Source URL: www.quantsol.org Language: English - Date: 2009-02-22 05:32:33 Molecular electronics Organic semiconductors Polymers Solar cells Quasiparticles Exciton Polymer solar cell Polyfluorene Chromophore Chemistry Electronics Physics
19	PHYSICAL REVIEW E 91, Emergence of step flow from an atomistic scheme of epitaxial growth in 1 + 1 dimensions Jianfeng Lu,1,2 Jian-Guo Liu,1 and Dionisios Margetis3 1 Add to Reading List Source URL: www.cscamm.umd.edu Language: English - Date: 2015-03-06 13:17:45 Kinetic Monte Carlo Random walk Surface diffusion Statistics Symbol Probability and statistics
20	Part A Simulation and Statistical Programming HT 2015 Problem Sheet 3 due Week 7 Tuesday 10am 1. (a) Give a Metropolis-Hastings algorithm to sample according to the Gamma probability density function, p(x) ∝ xα−1 ex Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2015-02-23 13:52:48 Computational statistics Probability and statistics Markov models Markov processes Metropolis–Hastings algorithm Markov chain Gibbs sampling Itō diffusion Bayesian inference in phylogeny Statistics Monte Carlo methods Markov chain Monte Carlo