The improvement proposed by ShuMa and Easa to the variational calculation of multipoie pokuizabdities of atoms has been applied to molecules. The convergence of the technique appears to be fair but the accuracy of the results is stron& dependent on the quality of the initial wavefunction. in the cas
A finite field method for calculating molecular polarizability tensors for arbitrary multipole rank
β Scribed by Dennis M. Elking; Lalith Perera; Robert Duke; Thomas Darden; Lee G. Pedersen
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 437 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0192-8651
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β¦ Synopsis
A finite field method for calculating spherical tensor molecular polarizability tensors Ξ±(lm;l'm') = βΞ(lm)/βΟ(l'm')* by numerical derivatives of induced molecular multipole Ξ(lm) with respect to gradients of electrostatic potential Ο(l'm')* is described for arbitrary multipole ranks l and l'. Interconversion formulae for transforming multipole moments and polarizability tensors between spherical and traceless Cartesian tensor conventions are derived. As an example, molecular polarizability tensors up to the hexadecapole-hexadecapole level are calculated for water using the following ab initio methods: Hartree-Fock (HF), Becke three-parameter Lee-Yang-Parr exchange-correlation functional (B3LYP), MΓΈller-Plesset perturbation theory up to second order (MP2), and Coupled Cluster theory with single and double excitations (CCSD). In addition, intermolecular electrostatic and polarization energies calculated by molecular multipoles and polarizability tensors are compared with ab initio reference values calculated by the Reduced Variation Space method for several randomly oriented small molecule dimers separated by a large distance. It is discussed how higher order molecular polarizability tensors can be used as a tool for testing and developing new polarization models for future force fields.
π SIMILAR VOLUMES
## Abstract Evaluation of longβrange Coulombic interactions still represents a bottleneck in the molecular dynamics (MD) simulations of biological macromolecules. Despite the advent of sophisticated fast algorithms, such as the fast multipole method (FMM), accurate simulations still demand a great