Journal article

Monte Carlo Study of Four-Dimensional Self-avoiding Walks of up to One Billion Steps

Nathan Clisby

Journal of Statistical Physics | SPRINGER | Published : 2018

DOI: 10.1007/s10955-018-2049-2

University of Melbourne Researchers

Related Projects (2)

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COMPUTATIONAL STUDIES OF SOFT MATTER

Soft matter systems such as colloidal suspensions and polymers are ubiquitous in nature, and industrially important. For colloidal systems, ..

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Advanced algorithms for statistical mechanical models.

Polymer science, percolation theory and models of magnetism are at the forefront of lattice statistical mechanics and condensed matter theor..

Grants

Awarded by Australian Research Council under the Future Fellowship scheme

Awarded by Australian Research Council under Discovery scheme

Funding Acknowledgements

Support from the Australian Research Council under the Future Fellowship scheme (Project Number FT130100972) and Discovery scheme (Project Number DP140101110) is gratefully acknowledged.

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Keywords

Physical Sciences
Science & Technology
Monte Carlo
Dimensions
Length
Pivot Algorithm
Polymer
Self-Avoiding Walk
Physics
Physics, Mathematical