The Journal of Chemical Physics · 1984 · 282 citations · 9 references
Natural SciencesChemistryPhysicsComputational ChemistryPhysical ChemistryQuantum ChemistryComputational Quantum ChemistryComputational Quantum MechanicsMolecular Quantum MechanicsMolecular SimulationMonte Carlo MethodsMonte Carlo SimulationGreen's Function Monte CarloGround State PropertiesMolecular Simulation AlgorithmsQuantum Chemical ModelingQuantum Chemistry SimulationQuantum Monte Carlo AlgorithmsRandom Walk AlgorithmsStatistical Error
A random walk algorithm is presented which exactly calculates the properties of a many-electron system. For that purpose both the Green’s function Monte Carlo method and nodal relaxation have been employed and both are described in detail. The scheme is applied to several small molecules, (H3, LiH, Li2, H20) and with modest computational effort and simple importance functions, ground state energies are obtained which agree with experimental energies within statistical error bars. The small energy decrease due to nodal release is accurately evaluated by a difference method.
9
Fixed-node quantum Monte Carlo for moleculesa) b)
Peter Reynolds, David M. Ceperley, Berni J. Alder et al. · The Journal of Chemical Physics · 1982 · 1.1K citations
Natural Sciences, Chemistry, Physics +17
<i>Probability and Related Topics in Physical Sciences</i>
Mark Kac, G. E. Uhlenbeck, A. R. Hibbs et al. · Physics Today · 1960 · 665 citations