a b s t r a c tIn this work, the capability of computing adjoint-weighted kinetic parameters, including effective delayed neutron fraction and neutron generation time, was implemented in the Reactor Monte Carlo (RMC) code based on the iterated fission probability (IFP) method. Three algorithms, namely, the NonOverlapping Blocks (NOB) algorithm, the Multiple Overlapping Blocks (MOB) algorithm and the superhistory algorithm, were implemented in RMC to investigate their accuracy, computational efficiency and estimation of variance. The algorithms and capability of computing kinetic parameters in RMC were verified and validated by comparison with MCNP6 as well as experimental results through a set of multigroup problems and continuous-energy problems.

This paper is produced after writing code for doing Monte Carlo simulations of a single type and use the model to study the self-assembly of co-polymers confined to a surface. A great interest has been aroused in the field of Monte Carlo simulation in material science since then. The Monte Carlo algorithm for single-phase normal grain growth is realized which can simulate and observe the current development of the microstructure of large grains in three dimensions. And this study will go through both two- and three-dimension Monte Carlo simulation in grain growth with a brief introduction of the methodology about this. At last, an enormous potential of the Monte Carlo simulation could be spotted in material field and the future material analysis will rely more on computational science due to the powerful computing power.