The Monte Carlo method in condensed matter physics
Alongside experimental and theoretical work, computer simulation now forms one of the major tools of research in physics. The Monte Carlo method is the most important simulation method in the area of condensed matter physics. This book, written by foremost experts in the field, describes the state of the art of simulation methods in solid state physics. It also reviews selected applications in areas of particular current interest like simulations of growth processes far from equilibrium, interfacial phenomena, quantum and classical fluids, polymers, quantum problems on lattices, and random systems. A new chapter on recent developments in the Monte Carlo simulation of condensed matter has been attached.
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Vectorisation of Monte Carlo Programs for Lattice Models
Parallel Algorithms for Statistical Physics Problems
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algorithm atoms behaviour Binder calculations chain Chem cluster computer simulation configurations correlation functions correlation length critical exponents Cyber D.P. Landau D.W. Heermann density matrix dielectric dimensions distribution effects ensemble equation equilibrium estimate Europhys experimental fermion Ferrenberg ferromagnetic field finite size scaling fluid free energy Gaussian GCMC GFMC Hamiltonian hard spheres Heidelberg Hubbard model interactions interface Ising model lattice models layer Lett liquid M.E. Fisher machines Macromolecules magnetic magnetisation MC simulations mixtures molecular dynamics molecules Monte Carlo method Monte Carlo simulations multispin coding nearest neighbour obtained parallel computers parameter particles percolation phase diagram phase transition Phys Physics PIMC polymer potential Potts model problem processor properties quantum Quantum Monte Carlo random number recent sampling solid spin glass Springer square lattice Stat statistical Stauffer structure sublattices surface techniques temperature theory thermodynamic updates variational vector vectorised wavefunction wetting