Multicanonical Ensemble: A New Approach to Simulate First-order Phase Transitions
arXiv:hep-lat/9202004 · doi:10.1103/PhysRevLett.68.9
Abstract
Relying on the recently proposed multicanonical algorithm, we present a numerical simulation of the first order phase transition in the 2d 10-state Potts model on lattices up to sizes . It is demonstrated that the new algorithm an exponentially fast increase of the tunneling time between metastable states as a function of the linear size of the system. Instead, the tunneling time diverges approximately proportional to . Thus the computational effort as counted per degree of freedom for generating an independent configuration in the unstable region of the model rises proportional to , where is the volume of the system. On our largest lattice we gain more than two orders of magnitude as compared to a standard heat bath algorithm. As a first physical application we report a high precision computation of the interfacial tension.
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- Spin- Ising models with multispin interactions on the one-dimensional chain and two-dimensional square lattice
- Flow-based Nonperturbative Simulation of First-order Phase Transitions
- Finite-size scaling of Lennard-Jones droplet formation at fixed density
- Binary tree summation Monte Carlo simulation for Potts models
- The CrMES scheme as an alternative to Importance Sampling: The tail regime of the order-parameter distribution
- Multicanonical Cluster Algorithm
- Multicanonical molecular dynamics by variable-temperature thermostats and variable-pressure barostats
- New Methods for Calculating the Free Energy of Charged Defects in Solid Electrolytes
- Measuring free energy in parallel tempering Monte Carlo
- Efficient sampling using Macrocanonical Monte Carlo and density of states mapping
- Nonequilibrium-relaxation approach to quantum phase transitions: Nontrivial critical relaxation in cluster-update quantum Monte Carlo
- Accurate simulation estimates of phase behaviour in ternary mixtures with prescribed composition
- Novel Monte Carlo algorithms and their applications
- Efficient equilibrium sampling of all-atom peptides using library-based Monte Carlo
- From particle condensation to polymer aggregation
- Wang-Landau simulation for the quasi-one-dimensional Ising model
- Extending fragment-based free energy calculations with library Monte Carlo simulation: Annealing in interaction space
- Optimisation via Slice Sampling
- A numerical method for determining the interface free energy
- Computing Chemical Potential using the Phase Space Multi-histogram Method
- Confinement in the Deconfined Phase: A numerical study with a cluster algorithm
- Computing quantum phase transitions
- Wang-Landau algorithm for entropic sampling of arch-based microstates in the volume ensemble of static granular packings
- The Hybrid Monte Carlo Algorithm for Quantum Chromodynamics
- Cooperative "folding transition" in the sequence space facilitates function-driven evolution of protein families
- The application of Monte Carlo methods for learning generalized linear model
- Transition Matrix Cluster Algorithms
- The Droplet Formation-Dissolution Transition in Different Ensembles: Finite-Size Scaling from Two Perspectives
- Equi-Energy sampling does not converge rapidly on the mean-field Potts model with three colors close to the critical temperature
- Stochastic Approximation Monte Carlo with a Dynamic Update Factor
- Reconstruction of a first-order phase transition from computer simulations of individual phases and subphases
- Simulated tempering with irreversible Gibbs sampling techniques
- Sampling in the multicanonical ensemble: Small He clusters in W
- Quasi-exact ground-state algorithm for the random-field Potts model
- Phase probabilities in first-order transitions using machine learning
- Quantum Annealing Algorithms for Estimating Ising Partition Functions
- Optimal parallelisation strategies for flat histogram Monte Carlo sampling
- Dissecting a Small Artificial Neural Network
- Stochastic dynamics without detailed balance condition connecting simple gradient method and Hamiltonian Monte Carlo
- Rejection-free cluster Wang-Landau algorithm for hard-core lattice gases
- A histogram-free multicanonical Monte Carlo algorithm for the basis expansion of density of states
- An adaptive Metropolis-Hastings scheme: sampling and optimization
- Accelerating Multicanonical Sampling with Irreversibility
- Efficient Microcanonical Histogram Analysis and Application to Peptide Aggregation
- Enhanced Sampling Algorithms
- Universality in the two-dimensional dilute Baxter-Wu model
- Entropic effects in large-scale Monte Carlo simulations
- Non-Boltzmann Ensembles and Monte Carlo Simulation
- Projected single-spin flip dynamics in the Ising Model
- Finite Size Analysis of the U(1) Phase Transition using the World-sheet Formulation
- On thermodynamic stability and ensemble equivalence at phase coexistence
- Almost sure convergence of the accelerated weight histogram algorithm
- Two-size Probability-Changing Cluster Algorithm
- Statistical mechanical models of integer factorization problem
- On the application of the Critical Minimum Energy Subspace method to disordered systems
- Minimal energy ensemble Monte Carlo for the partition function of fermions coupled to classical fields
- Construction of a Neural Network with Temperature-Dependent Recall Patterns
- Lattice study of the critical bubble in deconfinement transition