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diff --git a/monte-carlo.bib b/monte-carlo.bib index 06a713a..0071b74 100644 --- a/monte-carlo.bib +++ b/monte-carlo.bib @@ -631,22 +631,24 @@ random field Ising model and finally of quantum spin glasses.}, file = {APS Snapshot:/home/pants/.zotero/data/storage/GD9PHBAV/RevModPhys.51.html:text/html;Mermin - 1979 - The topological theory of defects in ordered media.pdf:/home/pants/.zotero/data/storage/ZJE9JPN6/Mermin - 1979 - The topological theory of defects in ordered media.pdf:application/pdf} } -@article{ossola_dynamic_2004, - title = {Dynamic critical behavior of the {Swendsen}–{Wang} algorithm for the three-dimensional {Ising} model}, - volume = {691}, - issn = {0550-3213}, - url = {http://www.sciencedirect.com/science/article/pii/S0550321304003098}, - doi = {10.1016/j.nuclphysb.2004.04.026}, - abstract = {We have performed a high-precision Monte Carlo study of the dynamic critical behavior of the Swendsen–Wang algorithm for the three-dimensional Ising model at the critical point. For the dynamic critical exponents associated to the integrated autocorrelation times of the “energy-like” observables, we find zint,N=zint,E=zint,E′=0.459±0.005±0.025, where the first error bar represents statistical error (68\% confidence interval) and the second error bar represents possible systematic error due to corrections to scaling (68\% subjective confidence interval). For the “susceptibility-like” observables, we find zint,M2=zint,S2=0.443±0.005±0.030. For the dynamic critical exponent associated to the exponential autocorrelation time, we find zexp≈0.481. Our data are consistent with the Coddington–Baillie conjecture zSW=β/ν≈0.5183, especially if it is interpreted as referring to zexp.}, +@article{martin-mayor_tethered_2011, + title = {Tethered {Monte} {Carlo}: {Managing} {Rugged} {Free}-{Energy} {Landscapes} with a {Helmholtz}-{Potential} {Formalism}}, + volume = {144}, + issn = {1572-9613}, + shorttitle = {Tethered {Monte} {Carlo}}, + url = {https://doi.org/10.1007/s10955-011-0261-4}, + doi = {10.1007/s10955-011-0261-4}, + abstract = {Tethering methods allow us to perform Monte Carlo simulations in ensembles with conserved quantities. Specifically, one couples a reservoir to the physical magnitude of interest, and studies the statistical ensemble where the total magnitude (system+reservoir) is conserved. The reservoir is actually integrated out, which leaves us with a fluctuation-dissipation formalism that allows us to recover the appropriate Helmholtz effective potential with great accuracy. These methods are demonstrating a remarkable flexibility. In fact, we illustrate two very different applications: hard spheres crystallization and the phase transition of the diluted antiferromagnet in a field (the physical realization of the random field Ising model). The tethered approach holds the promise to transform cartoon drawings of corrugated free-energy landscapes into real computations. Besides, it reduces the algorithmic dynamic slowing-down, probably because the conservation law holds non-locally.}, + language = {en}, number = {3}, urldate = {2018-09-19}, - journal = {Nuclear Physics B}, - author = {Ossola, Giovanni and Sokal, Alan D.}, - month = jul, - year = {2004}, - keywords = {Ising model, Cluster algorithm, Autocorrelation time, Dynamic critical exponent, Monte Carlo, Potts model, Swendsen–Wang algorithm}, - pages = {259--291}, - file = {ScienceDirect Full Text PDF:/home/pants/.zotero/data/storage/MKA8WYZZ/Ossola and Sokal - 2004 - Dynamic critical behavior of the Swendsen–Wang alg.pdf:application/pdf;ScienceDirect Snapshot:/home/pants/.zotero/data/storage/YHGX7CDT/S0550321304003098.html:text/html} + journal = {Journal of Statistical Physics}, + author = {Martin-Mayor, V. and Seoane, B. and Yllanes, D.}, + month = aug, + year = {2011}, + keywords = {Effective potential, Monte Carlo methods, Barriers}, + pages = {554--596}, + file = {Martin-Mayor et al. - 2011 - Tethered Monte Carlo Managing Rugged Free-Energy .pdf:/home/pants/.zotero/data/storage/HEICZ4EE/Martin-Mayor et al. - 2011 - Tethered Monte Carlo Managing Rugged Free-Energy .pdf:application/pdf} } @article{martin-mayor_cluster_2009, @@ -665,24 +667,22 @@ random field Ising model and finally of quantum spin glasses.}, file = {APS Snapshot:/home/pants/.zotero/data/storage/2USVICMH/PhysRevE.80.html:text/html;Martin-Mayor and Yllanes - 2009 - Cluster Monte Carlo algorithm with a conserved ord.pdf:/home/pants/.zotero/data/storage/7G4SJC85/Martin-Mayor and Yllanes - 2009 - Cluster Monte Carlo algorithm with a conserved ord.pdf:application/pdf} } -@article{martin-mayor_tethered_2011, - title = {Tethered {Monte} {Carlo}: {Managing} {Rugged} {Free}-{Energy} {Landscapes} with a {Helmholtz}-{Potential} {Formalism}}, - volume = {144}, - issn = {1572-9613}, - shorttitle = {Tethered {Monte} {Carlo}}, - url = {https://doi.org/10.1007/s10955-011-0261-4}, - doi = {10.1007/s10955-011-0261-4}, - abstract = {Tethering methods allow us to perform Monte Carlo simulations in ensembles with conserved quantities. Specifically, one couples a reservoir to the physical magnitude of interest, and studies the statistical ensemble where the total magnitude (system+reservoir) is conserved. The reservoir is actually integrated out, which leaves us with a fluctuation-dissipation formalism that allows us to recover the appropriate Helmholtz effective potential with great accuracy. These methods are demonstrating a remarkable flexibility. In fact, we illustrate two very different applications: hard spheres crystallization and the phase transition of the diluted antiferromagnet in a field (the physical realization of the random field Ising model). The tethered approach holds the promise to transform cartoon drawings of corrugated free-energy landscapes into real computations. Besides, it reduces the algorithmic dynamic slowing-down, probably because the conservation law holds non-locally.}, - language = {en}, +@article{ossola_dynamic_2004, + title = {Dynamic critical behavior of the {Swendsen}–{Wang} algorithm for the three-dimensional {Ising} model}, + volume = {691}, + issn = {0550-3213}, + url = {http://www.sciencedirect.com/science/article/pii/S0550321304003098}, + doi = {10.1016/j.nuclphysb.2004.04.026}, + abstract = {We have performed a high-precision Monte Carlo study of the dynamic critical behavior of the Swendsen–Wang algorithm for the three-dimensional Ising model at the critical point. For the dynamic critical exponents associated to the integrated autocorrelation times of the “energy-like” observables, we find zint,N=zint,E=zint,E′=0.459±0.005±0.025, where the first error bar represents statistical error (68\% confidence interval) and the second error bar represents possible systematic error due to corrections to scaling (68\% subjective confidence interval). For the “susceptibility-like” observables, we find zint,M2=zint,S2=0.443±0.005±0.030. For the dynamic critical exponent associated to the exponential autocorrelation time, we find zexp≈0.481. Our data are consistent with the Coddington–Baillie conjecture zSW=β/ν≈0.5183, especially if it is interpreted as referring to zexp.}, number = {3}, urldate = {2018-09-19}, - journal = {Journal of Statistical Physics}, - author = {Martin-Mayor, V. and Seoane, B. and Yllanes, D.}, - month = aug, - year = {2011}, - keywords = {Effective potential, Monte Carlo methods, Barriers}, - pages = {554--596}, - file = {Martin-Mayor et al. - 2011 - Tethered Monte Carlo Managing Rugged Free-Energy .pdf:/home/pants/.zotero/data/storage/HEICZ4EE/Martin-Mayor et al. - 2011 - Tethered Monte Carlo Managing Rugged Free-Energy .pdf:application/pdf} + journal = {Nuclear Physics B}, + author = {Ossola, Giovanni and Sokal, Alan D.}, + month = jul, + year = {2004}, + keywords = {Ising model, Cluster algorithm, Autocorrelation time, Dynamic critical exponent, Monte Carlo, Potts model, Swendsen–Wang algorithm}, + pages = {259--291}, + file = {ScienceDirect Full Text PDF:/home/pants/.zotero/data/storage/MKA8WYZZ/Ossola and Sokal - 2004 - Dynamic critical behavior of the Swendsen–Wang alg.pdf:application/pdf;ScienceDirect Snapshot:/home/pants/.zotero/data/storage/YHGX7CDT/S0550321304003098.html:text/html} } @article{ala-nissila_numerical_1994, @@ -749,12 +749,13 @@ random field Ising model and finally of quantum spin glasses.}, file = {APS Snapshot:/home/pants/.zotero/data/storage/A8T7IR63/PhysRevLett.56.html:text/html;Dierker et al. - 1986 - Consequences of Bond-Orientational Order on the Ma.pdf:/home/pants/.zotero/data/storage/9XEH86XP/Dierker et al. - 1986 - Consequences of Bond-Orientational Order on the Ma.pdf:application/pdf} } -@misc{bierbaum_ising.js_nodate, +@misc{bierbaum_ising.js_2016, title = {Ising.js}, url = {https://mattbierbaum.github.io/ising.js/}, urldate = {2018-09-25}, author = {Bierbaum, Matthew K.}, - note = {Source: https://github.com/mattbierbaum/ising.js\vphantom{\{}\}} + year = {2016}, + note = {https://github.com/mattbierbaum/ising.js/} } @article{bortz_new_1975, @@ -788,4 +789,13 @@ random field Ising model and finally of quantum spin glasses.}, year = {1991}, pages = {938--946}, file = {APS Snapshot:/home/pants/.zotero/data/storage/NCJ8EBM9/PhysRevB.43.html:text/html;Zhang and Larese - 1991 - Melting of monolayer argon adsorbed on a graphite .pdf:/home/pants/.zotero/data/storage/MZTKK99U/Zhang and Larese - 1991 - Melting of monolayer argon adsorbed on a graphite .pdf:application/pdf} +} + +@misc{kent-dobias_wolff_2018, + title = {Wolff}, + url = {https://git.kent-dobias.com/wolff/}, + abstract = {Efficiently simulate spin models using a generalized Wolff algorithm.}, + author = {Kent-Dobias, Jaron}, + year = {2018}, + note = {https://git.kent-dobias.com/wolff/} }
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