Optimizing efficiency of perturbative Monte Carlo method
β Scribed by Evans, Tom J.; Truong, Thanh N.
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 289 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0192-8651
No coin nor oath required. For personal study only.
β¦ Synopsis
We introduce error weighting functions into the perturbative Monte Carlo method for use with a hybrid ab initio quantum Ε½ . mechanicsrmolecular mechanics QMrMM potential. The perturbative Monte Carlo approach introduced earlier provides a means to reduce the number of full SCF calculations in simulations using a QMrMM potential by evoking perturbation theory to calculate energy changes due to displacements of an MM molecule. The use of weighting functions, introduced here, allows an optimal number of MM molecule displacements to occur between the performance of the full self-consistent field calculations. This will allow the ab initio QMrMM approach to be applied to systems that require more accurate treatment of the QM andror MM regions.
π SIMILAR VOLUMES
collisions of particles with a solid surface; (3) determine the cell location of each particle; (4) on a statistical basis, This paper describes a new concept for the implementation of the direct simulation Monte Carlo (DSMC) method. It uses a localized compute collisions between particles occupying
The accuracy and computational cost of a direct simulation Monte Carlo simulation are directly related to the number of particles per cell. Optimal computational efficiency is achieved when the minimum number of particles needed for accurate resolution is used in each cell. Particle count is shown t
## Abstract An efficient combination of the WangβLandau and transition matrix Monte Carlo methods for protein and peptide simulations is described. At the initial stage of simulation the algorithm behaves like the WangβLandau algorithm, allowing to sample the entire interval of energies, and at the
3D-QSAR uses statistical techniques to correlate calculated structural properties with target properties like biological activity. The comparison of calculated structural properties is dependent upon the relative orientations of molecules in a given data set. Typically molecules are aligned by perfo