Monte Carlo Calculation of the Average Extension of Molecular Chains

@inproceedings{Rosenbluth1955MonteCC,
  title={Monte Carlo Calculation of the Average Extension of Molecular Chains},
  author={Marshall N. Rosenbluth and Arianna W. Rosenbluth},
  year={1955}
}
The behavior of chains of very many molecules is investigated by solving a restricted random walk problem on a cubic lattice in three dimensions and a square lattice in two dimensions. In the Monte Carlo calculation a large number of chains are generated at random, subject to the restrictions of no crossing or doubling back, to give the average extension of the chain 〈R2〉Av as a function of N, the number of links in the chain. A system of weights is used in order that all possible allowed… CONTINUE READING

Figures and Tables from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 198 CITATIONS

Molecular simulation of simple fluids and polymers in nanoconfinement

VIEW 5 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

MOLECULAR SIMULATION OF PHASE EQUILIBRIA

VIEW 10 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Monte Carlo Approximation of Bayes Factors via Mixing with Surrogate Distributions

VIEW 4 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

How Chromosome-Nuclear Envelope Attachments Affect 3D Genome Organization

VIEW 4 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

A Theoretical Study of Polymer-Based Drug Delivery Systems

VIEW 5 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Molecular simulation of vapour-liquid-liquid-equilibrium.

VIEW 8 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Importance sampling for bayesian networks: principles, algorithms, and performance

VIEW 8 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

1992
2020

CITATION STATISTICS

  • 14 Highly Influenced Citations

  • Averaged 10 Citations per year from 2017 through 2019