Bulletin of the American Physical Society
APS March Meeting 2022
Volume 67, Number 3
Monday–Friday, March 14–18, 2022; Chicago
Session G00: Poster Session I (2pm- 5pm CST)
2:00 PM,
Tuesday, March 15, 2022
Room: McCormick Place Exhibit Hall F1
Abstract: G00.00268 : Nonreversible Markov chain Monte Carlo algorithm for efficient generation ofSelf-Avoiding Walks*
Presenter:
Hanqing Zhao
(University of Virginia)
Authors:
Hanqing Zhao
(University of Virginia)
Marija Vucelja
(Univ of Virginia)
Collaboration:
We acknowledge discussions with Michael Chertkov, Gia-Wei Chern, Jon Machta, Joris Bierkens, Christoph Andrieu and Chris Sherlock.
The algorithms creating SAWs usually manipulate dif-ferent kinds of proposed moves, often referred to asatmospheres. The new algorithm introduces nonreversible Markov chains that obey global balance and allows for three types of elementary moves on the existing self-avoiding walk: shorten, extend or alter conformation without changing the walk's length.
Potential direct applications of the proposed algorithm are in increased efficiency in the numerical studies of finite-scaling and two-point functions of Ising model and n vector spin model.
*This material is based upon work supported by the National Science Foundation under Grant No.~DMR-1944539.
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