Fluids with quenched disorder: scaling of the free energy barrier near critical points
Creators
- 1. Institute of Theoretical Physics, Georg-August-Universitaet Goettingen, Friedrich-Hund-Platz 1, D-37077 Goettingen (Germany)
Description
In the context of Monte Carlo simulations, the analysis of the probability distribution PL(m) of the order parameter m, as obtained in simulation boxes of finite linear extension L, allows for an easy estimation of the location of the critical point and the critical exponents. For Ising-like systems without quenched disorder, PL(m) becomes scale-invariant at the critical point, where it assumes a characteristic bimodal shape featuring two overlapping peaks. In particular, the ratio between the value of PL(m) at the peaks (PL,max) and the value at the minimum in between (PL,min) becomes L-independent at criticality. However, for Ising-like systems with quenched random fields, we argue that instead ΔFL:=ln (PL,max/PL,min ∝ Lθ should be observed, where θ > 0 is the 'violation of hyperscaling' exponent. Since θ is substantially non-zero, the scaling of ΔFL with system size should be easily detectable in simulations. For two fluid models with quenched disorder, ΔFL versus L was measured and the expected scaling was confirmed. This provides further evidence that fluids with quenched disorder belong to the universality class of the random field Ising model.
Availability note (English)
Available from http://dx.doi.org/10.1088/0953-8984/23/23/234117Additional details
Identifiers
- DOI
- 10.1088/0953-8984/23/23/234117;
- PII
- S0953-8984(11)72202-0;
Publishing Information
- Journal Title
- Journal of Physics. Condensed Matter
- Journal Volume
- 23
- Journal Issue
- 23
- Journal Page Range
- [7 p.]
- ISSN
- 0953-8984
- CODEN
- JCOMEL
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 43007520
- Subject category
- S75: CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY;
- Descriptors DEI
- COMPUTERIZED SIMULATION; CRITICALITY; DISTRIBUTION; FLUIDS; FREE ENERGY; IMAGES; ISING MODEL; MONTE CARLO METHOD; ORDER PARAMETERS; RANDOMNESS; SCALING
- Descriptors DEC
- CALCULATION METHODS; CRYSTAL MODELS; DIMENSIONLESS NUMBERS; ENERGY; MATHEMATICAL MODELS; PHYSICAL PROPERTIES; SIMULATION; THERMODYNAMIC PROPERTIES