6533b7d1fe1ef96bd125c45f
RESEARCH PRODUCT
Critical phenomena without “hyper scaling”: How is the finite-size scaling analysis of Monte Carlo data affected?
Kurt Bindersubject
Hybrid Monte CarloPhysicsQuantum Monte CarloMonte Carlo methodCondensed Matter::Statistical MechanicsDynamic Monte Carlo methodMonte Carlo integrationIsing modelMonte Carlo method in statistical physicsStatistical physicsPhysics and Astronomy(all)Condensed Matter::Disordered Systems and Neural NetworksMonte Carlo molecular modelingdescription
Abstract The finite size scaling analysis of Monte Carlo data is discussed for two models for which hyperscaling is violated: (i) the random field Ising model (using a model for a colloid-polymer mixture in a random matrix as a representative) (ii) The Ising bi-pyramid in computing surface fields.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2010-01-01 | Physics Procedia |