most citedMonte Carlo particle transport in random media: the effects of mixing statistics

36 citations · 137 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.stat-mech2017★ 19 cited

Poisson-Box Sampling algorithms for three-dimensional Markov binary mixtures

Colline Larmier, Andrea Zoia, Fausto Malvagi +2

Particle transport in Markov mixtures can be addressed by the so-called Chord Length Sampling (CLS) methods, a family of Monte Carlo algorithms taking into account the effects of s…

cond-mat.stat-mech2017★ 23 cited

Monte Carlo Chord Length Sampling for -dimensional Markov binary mixtures

Colline Larmier, Adam Lam, Patrick Brantley +3

The Chord Length Sampling (CLS) algorithm is a powerful Monte Carlo method that models the effects of stochastic media on particle transport by generating on-the-fly the material i…

cond-mat.stat-mech2017★ 36 cited

Monte Carlo particle transport in random media: the effects of mixing statistics

Colline Larmier, Andrea Zoia, Fausto Malvagi +2

Particle transport in random media obeying a given mixing statistics is key in several applications in nuclear reactor physics and more generally in diffusion phenomena emerging in…

cond-mat.stat-mech2016★ 30 cited

Benchmark solutions for transport in -dimensional Markov binary mixtures

Coline Larmier, F-X Hugot, Fausto Malvagi +2

Linear particle transport in stochastic media is key to such relevant applications as neutron diffusion in randomly mixed immiscible materials, light propagation through engineered…

cond-mat.stat-mech2016★ 29 cited

Finite-size effects and percolation properties of Poisson geometries

Coline Larmier, Eric Dumonteil, Fausto Malvagi +2

Random tessellations of the space represent a class of prototype models of heterogeneous media, which are central in several applications in physics, engineering and life sciences.…