Elastic Polarizable Environment Cluster Embedding Approach for Covalent Oxides and Zeolites Based on a Density Functional Method

We present a new quantum mechanics/molecular mechanics (QM/MM) embedding approach for systems with directional polar covalent bonds. This “covalent elastic polarizable environment” (covEPE) scheme features a variational treatment of an energy expression that includes all degrees of freedom of both t...

Full description

Saved in:
Bibliographic Details
Published in:The journal of physical chemistry. B Vol. 107; no. 10; pp. 2228 - 2241
Main Authors: Nasluzov, Vladimir A, Ivanova, Elena A, Shor, Alexei M, Vayssilov, Georgi N, Birkenheuer, Uwe, Rösch, Notker
Format: Journal Article
Language:English
Published: American Chemical Society 13-03-2003
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We present a new quantum mechanics/molecular mechanics (QM/MM) embedding approach for systems with directional polar covalent bonds. This “covalent elastic polarizable environment” (covEPE) scheme features a variational treatment of an energy expression that includes all degrees of freedom of both the QM region (the “cluster”) and the MM regions (the “environment”). The method completely and explicitly includes both the electrostatic and mechanical interactions between a QM model cluster and its environment. Monovalent pseudoatoms that represent real atoms of the material saturate the dangling bonds of the cluster; these pseudoatoms belong simultaneously to the QM and MM regions. For a correct description of a pure silica environment, we constructed a new force field of the shell-model type based on potential derived charges instead of formal charges. We implemented the covEPE approach in the density functional program ParaGauss and applied it to pure-silica and Al-containing chabazite, employing a generalized gradient approximation. These applications showed that calculated structural parameters and OH frequencies of bridging hydroxyl groups reproduce experimental data with good accuracy compared to other contemporary computational methods.
Bibliography:istex:7CD05B631B8B9536EB5E85A7BDC18488FE7A5547
ark:/67375/TPS-9DVCQM67-S
ISSN:1520-6106
1520-5207
DOI:10.1021/jp026742r