| Issue |
EPJ Web of Conferences
Volume 44, 2013
ICNP’1 – 1st International Conference On Numerical Physics
|
|
|---|---|---|
| Article Number | 01001 | |
| Number of page(s) | 11 | |
| Section | Statistical Physics & Complex systems | |
| DOI | https://doi.org/10.1051/epjconf/20134401001 | |
| Published online | 25 March 2013 | |
https://doi.org/10.1051/epjconf/20134401001
Rare event sampling with stochastic growth algorithms
School of Mathematical Sciences, Queen Mary University of London Mile End Road, London E1 4NS, United Kingdom
a e-mail: t.prellberg@qmul.ac.uk
We discuss uniform sampling algorithms that are based on stochastic growth methods, using sampling of extreme configurations of polymers in simple lattice models as a motivation. We shall show how a series of clever enhancements to a fifty-odd year old algorithm, the Rosenbluth method, led to a cutting-edge algorithm capable of uniform sampling of equilibrium statistical mechanical systems of polymers in situations where competing algorithms failed to perform well. Examples range from collapsed homo-polymers near sticky surfaces to models of protein folding.
© Owned by the authors, published by EDP Sciences, 2013
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 2.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.