Topic

# Dynamic Monte Carlo method

About: Dynamic Monte Carlo method is a(n) research topic. Over the lifetime, 13294 publication(s) have been published within this topic receiving 371256 citation(s).

##### Papers
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01 Jan 1993
TL;DR: In this article, the authors present a practical guide for the use of general-purpose Monte Carlo code MCNP, including several examples and a discussion of the particular techniques and the Monte Carlo method itself.
Abstract: This manual is a practical guide for the use of our general-purpose Monte Carlo code MCNP. The first chapter is a primer for the novice user. The second chapter describes the mathematics, data, physics, and Monte Carlo simulation found in MCNP. This discussion is not meant to be exhaustive---details of the particular techniques and of the Monte Carlo method itself will have to be found elsewhere. The third chapter shows the user how to prepare input for the code. The fourth chapter contains several examples, and the fifth chapter explains the output. The appendices show how to use MCNP on various computer systems and also give details about some of the code internals.

6,380 citations

Journal ArticleDOI

[...]

J.P. Biersack
TL;DR: In this article, a Monte Carlo computer program was developed for determining ion range and damage distributions as well as angular and energy distributions of backscattered and transmitted ions in amorphous targets.
Abstract: The formalism for a Monte Carlo computer program which simulates slowing down and scattering of energetic ions in amorphous targets is presented. It was developed for determining ion range and damage distributions as well as angular and energy distributions of backscattered and transmitted ions. The computer program provides particularly high computer efficiency, while still maintaining a high degree of accuracy. This is achieved mainly by applying a new analytic formula for determining nuclear scattering angles based on the Moliere potential, and by suitably expanding the distance between collisions at high energies. With these improvements it becomes feasible for the first time to assess accurately both low and high energy problems with high precision using a single simulation program.

4,124 citations

Journal ArticleDOI

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3,788 citations

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01 Jan 1996

3,707 citations

Book

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01 Jan 1964
TL;DR: The general nature of Monte Carlo methods can be found in this paper, where a short resume of statistical terms is given, including random, pseudorandom, and quasirandom numbers.
Abstract: 1 The general nature of Monte Carlo methods.- 2 Short resume of statistical terms.- 3 Random, pseudorandom, and quasirandom numbers.- 4 Direct simulation.- 5 General principles of the Monte Carlo method.- 6 Conditional Monte Carlo.- 7 Solution of linear operator equations.- 8 Radiation shielding and reactor criticality.- 9 Problems in statistical mechanics.- 10 Long polymer molecules.- 11 Percolation processes.- 12 Multivariable problems.- References.

3,222 citations

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##### Performance
###### Metrics
No. of papers in the topic in previous years
YearPapers
20201
20198
201852
2017306
2016304
2015353