4.4 Article

Analytic geometric gradients for the polarizable density embedding model

Journal

INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY
Volume 123, Issue 18, Pages -

Publisher

WILEY
DOI: 10.1002/qua.27177

Keywords

analytic gradients; density functional theory; polarizable embedding; QM/MM

Ask authors/readers for more resources

The polarizable density embedding (PDE) model is an advanced fragment-based QM/QM embedding model that improves the description of electrostatics and includes non-electrostatic repulsion. We developed analytic geometric gradients for the PDE model to optimize the geometry of QM regions within large molecular environments. We also propose a hybrid PDE-LJ model that produces good quality solute-solvent structures for density functional theory (DFT) calculations.
The polarizable density embedding (PDE) model is an advanced fragment-based QM/QM embedding model closely related to the earlier polarizable embedding (PE) model. PDE features an improved description of permanent electrostatics and further includes non-electrostatic repulsion. We present an implementation of analytic geometric gradients for the PDE model, which allows for partial geometry optimizations of QM regions embedded in large molecular environments. We benchmark the quality of structures from PE-QM and PDE-QM geometry optimizations on a diverse set of small organic molecules embedded in four solvents. The PDE model performs well when targeting Hartree-Fock calculations, but density functional theory (DFT) calculations prove more challenging. We suggest a hybrid PDE-LJ model which produces solute-solvent structures of good quality for DFT. Finally, we apply the developed model to a theoretical estimation of the solvatochromic shift on the fluorescence emission energy of the environment-sensitive 4-aminophthalimide probe based on state-specific multiconfigurational PDE-QM calculations.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available