The Monte Carlo Method in Condensed Matter PhysicsKurt Binder 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. |
Other editions - View all
Common terms and phrases
algorithm antiferromagnetic approximation atoms Baumgärtner behaviour Binder bond calculations Ceperley chain Chem cluster computer simulations configurations correlation functions critical exponents D.P. Landau D.W. Heermann density matrix density profiles dielectric diffusion dimensions distribution effects ensemble equation equilibrium estimate Europhys experimental fermion Ferrenberg ferromagnetic field finite free energy Frenkel Gaussian GCMC GFMC Hamiltonian hard spheres Heidelberg Hubbard model interactions interface Ising model lattice models layer Lett liquid LJ fluid localised M.E. Fisher Macromolecules magnetisation MC simulations mixtures molecular dynamics molecules Monte Carlo method Monte Carlo simulations multispin coding nearest neighbour obtained pair parallel parameters particles percolation phase diagram phase transition Phys Physics PIMC polymer potential Potts model problem processor properties Quantum Monte Carlo random numbers recent sampling scaling solid spin glass Springer Stat statistical Stauffer structure sublattices surface techniques theory thermodynamic variables variational vector vectorised wall wavefunction