Quantum Monte Carlo
- 7 February 1986
- journal article
- research article
- Published by American Association for the Advancement of Science (AAAS) in Science
- Vol. 231 (4738) , 555-560
- https://doi.org/10.1126/science.231.4738.555
Abstract
An outline of a random walk computational method for solving the Schrödinger equation for many interacting particles is given, together with a survey of results achieved so far and of applications that remain to be explored. Monte Carlo simulations can be used to calculate accurately the bulk properties of the light elements hydrogen, helium, and lithium as well as the properties of the isolated atoms and of molecules made up from these elements. It is now possible to make reliable predictions of the behavior of these substances under experimentally difficult conditions, such as high pressure, and of properties that are difficult to measure experimentally, such as the momentum distribution in superfluid helium. For chemical systems, the stochastic method has a number of advantages over the widely used variational approach to determine ground-state properties, namely fast convergence to the exact result within objectively established error bounds.Keywords
This publication has 31 references indexed in Scilit:
- Muon–alpha-particle sticking probability in muon-catalyzed fusionPhysical Review A, 1985
- Experimental Investigation of Muon-CatalyzedFusionPhysical Review Letters, 1983
- Neutron-Scattering Determination of the Momentum Distribution and the Condensate Fraction in LiquidPhysical Review Letters, 1982
- The calculation of the properties of metallic hydrogen using Monte CarloPhysica B+C, 1981
- Green's Function Monte Carlo Method for LiquidPhysical Review Letters, 1981
- Ground State of the Electron Gas by a Stochastic MethodPhysical Review Letters, 1980
- Monte Carlo calculation of the Born-Oppenheimer potential between two helium atomsPhysical Review A, 1980
- Monte Carlo Calculations of the Ground State of Three- and Four-Body NucleiPhysical Review B, 1962
- Matrix Inversion by a Monte Carlo MethodMathematical Tables and Other Aids to Computation, 1950
- The Monte Carlo MethodJournal of the American Statistical Association, 1949