Variational Approach to Monte Carlo Renormalization Group

Author(s): Wu, Yantao; Car, Roberto

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DC Field	Value	Language
dc.contributor.author	Wu, Yantao	-
dc.contributor.author	Car, Roberto	-
dc.date.accessioned	2024-06-20T18:29:44Z	-
dc.date.available	2024-06-20T18:29:44Z	-
dc.date.issued	2017-11-28	en_US
dc.identifier.citation	Wu, Yantao, Car, Roberto. (Variational Approach to Monte Carlo Renormalization Group. Physical Review Letters, 119 (22), 10.1103/physrevlett.119.220602	en_US
dc.identifier.issn	0031-9007	-
dc.identifier.uri	http://arks.princeton.edu/ark:/88435/pr18k74x0n	-
dc.description.abstract	We present a Monte Carlo method for computing the renormalized coupling constants and the critical exponents within renormalization theory. The scheme, which derives from a variational principle, overcomes critical slowing down, by means of a bias potential that renders the coarse grained variables uncorrelated. The two-dimensional Ising model is used to illustrate the method.	en_US
dc.language	en	en_US
dc.language.iso	en_US	en_US
dc.relation.ispartof	Physical Review Letters	en_US
dc.rights	Author's manuscript	en_US
dc.title	Variational Approach to Monte Carlo Renormalization Group	en_US
dc.type	Journal Article	en_US
dc.identifier.doi	doi:10.1103/physrevlett.119.220602	-
dc.date.eissued	2017-11-28	en_US
dc.identifier.eissn	1079-7114	-
pu.type.symplectic	http://www.symplectic.co.uk/publications/atom-terms/1.0/journal-article	en_US

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