Abstract
2nd ed. Understanding Molecular Simulation: From Algorithms to Applications explains the physics behind the "recipes" of molecular simulation for materials science. Computer simulators are continuously confronted with questions concerning the choice of a particular technique for a given application. A wide variety of tools exist, so the choice of technique requires a good understanding of the basic principles. More importantly, such understanding may greatly improve the efficiency of a simulation program. The implementation of simulation methods is illustrated in pseudocodes and their practical use in. Statistical mechanics -- Monte Carlo simulations -- Molecular dynamics simulations -- Monte Carlo simulations in various ensembles -- Molecular dynamics in various ensembles -- Free energy calculations -- The Gibbs ensemble -- Other methods to study coexistence -- Free energies of solids -- Free energy of chain molecules -- Long-range interactions -- Biased Monte Carlo schemes -- Accelerating Monte Carlo sampling -- Tackling time-scale problems -- Rare events -- Dissipative particle dynamics.
Cite
CITATION STYLE
Frenkel, D., Smit, B., Tobochnik, J., McKay, S. R., & Christian, W. (1997). Understanding Molecular Simulation. Computers in Physics, 11(4), 351–354. https://doi.org/10.1063/1.4822570
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